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ML Systems Engineer, Robotics

Scale AI · San Francisco, CA

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AVCV / Robotics EPD San Francisco, CA Posted May 8, 2026

Scale's Physical AI business unit is dedicated to solving the data bottleneck across Robotics, Autonomous Vehicles, and Computer Vision. This position will be a key contributor in conducting applied research in Physical AI and developing ML pipelines for processing, training, and fine-tuning on data collected by Scale, with a specific focus on optimizing algorithms and pipelines to run efficiently on GPUs in the cloud. In this role, you will have the opportunity to advance research, shape Scale’s offerings, and expand the frontier of data and model evaluation for Physical AI.

The Role

As an ML Systems Engineer on the Physical AI team, you will design and build platforms for scalable, reliable, and efficient serving of foundation models specifically tailored for physical agents. Our platform powers cutting-edge research and production systems, supporting both internal research discovery and external customer use cases for autonomous vehicles and robotics.

The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging the gap between Physical AI research and production engineering to accelerate innovation across the company.

You Will:

Build & Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications.
Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics.
Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments.
Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security.
Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference.
Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment.

Ideally, You’d Have:

Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure.
Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning).
Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++).
Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications.
Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP).
IaC: Familiarity with infrastructure as code (e.g., Terraform).
Mindset: Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to Haves:

Exposure to Vision-Language-Action (VLA) models.
Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds).
Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of San Francisco is:

$216,000—$270,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Senior AI Infrastructure Engineer - Training Platform

Scale AI · San Francisco, CA; Seattle, WA; New York, NY

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Research New York, NY San Francisco, CA Posted May 8, 2026

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world’s most advanced models.

The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.

You will:

Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery.
Design and implement scheduling primitives to optimize the lifecycle of training jobs.
Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures
Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability.
Work closely with Finance and Procurement teams to drive our capacity planning process.
Participate in our team’s on call process to ensure the availability of our services.
Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment.

Ideally you'd have:

5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes).
Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++)
Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling.
Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling.
Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput
Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware.
Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to haves:

Experience with distributed training techniques such as DeepSpeed, FSDP, etc.
Experience with the NVIDIA software and hardware stack (CUDA, NCCL)
Experience with PyTorch
Familiarity with post-training algorithms such as GRPO, and with Reinforcement Learning

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$216,000—$270,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Solutions Engineer, Robotics

Scale AI · San Francisco, CA

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AVCV / Robotics EPD San Francisco, CA Posted May 8, 2026

The next frontier for AI is the physical world. At Scale, we're pioneering this shift, moving artificial intelligence from digital spaces into robotics and autonomous systems. Our Robotics team is building the data platform that will power the future of Physical AI. We are looking for a pivotal Solutions Engineer, to be based in our San Francisco Corporate Headquarters.

As a Solutions Engineer, you'll be a trusted technical partner, building deep relationships with some of the world's most innovative model builders and renowned robotics companies. You will partner closely with Product, Sales and Machine Learning Engineers to guide prospective customers through the pre-sales process, delivering customized demos and pilots that secure the "technical win." You'll define customer technical requirements, develop actionable Statements of Work, and collaborate with the delivery team on initial implementation. Your relentless curiosity about customer needs, combined with your expert knowledge of Scale's products will allow you to design creative and impactful solutions.

This is a critical role that directly influences multi-million dollar contracts and initiatives. You'll travel globally to conduct on-site technical workshops and scope new projects, while also leading demos and pilots for new prospects. You'll be part of a tight-knit, specialized team, influencing a rapidly growing business that is expanding into new product areas.

In this role, you will:

Partner with Scale Account Executives and Engagement Managers to deliver new customer pilots and grow technical relationships with existing clients.
Work with Product Engineering and Product Management to influence our product roadmap based on your frontline insights.
Become a domain expert in next-generation Robotics and physical AI (e.g. VLMs, VLAs, World Models)
Be accountable for the technical customer experience and commercial growth, expanding relationships and use cases with existing customers.
Collaborate with highly technical engineers at our customer sites to ensure satisfaction with our data, software platforms, and workflows.
Design and develop playbooks, demos, and other tools to ensure efficient and successful pilots and customer expansions.
Pioneer the development of a global Robotics Data Marketplace, actively seeking out and engaging with key international partners to build a comprehensive data ecosystem.
Evangelize Scale by interacting with customers at major industry events and academic conferences.

You have:

A strong engineering background, preferably in Robotics, Mechatronics, Computer Science, Mathematics, or other Engineering fields.
3+ years of experience developing with Python, C++, Java, and/or other scripting languages.
Hands-on experience in Robotics and Physical AI
Exceptional project management and interpersonal skills, strong attention to detail, and a strong sense of ownership.
The presentation skills and technical credibility to speak confidently with a variety of stakeholders, from executives to front-line engineers.
A high level of comfort communicating effectively across internal and external organizations.
Regular travel within the Bay Area.
International travel approximately once every two months.
Intellectual curiosity, empathy, and the ability to operate with a high degree of autonomy.

Bonus points if you have:

Prior sales, solutions engineering, or partnership experience with a track record of successfully achieving quota.
Ideally would have experience selling complex technical solutions to enterprises with deal sizes of $500K to $5M+.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of San Francisco is:

$180,000—$225,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Engineering Manager

ngrok Inc. · United States

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Engineering San Francisco Posted May 8, 2026

About ngrok Inc.

ngrok is an all-in-one cloud networking platform that secures, transforms, and routes traffic to services running anywhere. Instead of cobbling together nginx, NLBs, VPNs, model routers, and oodles of other tools, developers solve every networking problem with one gateway. Doesn’t matter if they’re sharing localhost or running AI workloads in production.

We're trusted by more than 9 million developers at companies like GitHub, Okta, HashiCorp, and Twilio. What started as a way to put your local app on a public URL has grown into a universal gateway for API delivery, AI inference, device fleets, and site-to-site connectivity. It’s the same ngrok that millions of developers have loved and leaned on every day for years, now with the power to run production traffic at scale.

A few things you should know:

We are obsessed with our pets, Viper sunglasses and Bufo (yes, the toad)
We have a designated Chief Emoji Officer - they are vital to our success!
We like software that’s serious and culture that’s not

Still reading? Good. There's more below worth your time.

About the Team

This role will lead either our Gateway or Agent team, depending on your experience and interests.

Both teams sit on the critical path of every ngrok connection and are central to our reliability, performance, and customer trust.

Gateway Team: Owns the core infrastructure that handles and shapes all traffic flowing through ngrok—routing, security enforcement, rate limiting, and observability. Every request passes through this layer, and its correctness and performance are foundational to everything we do.
Agent Team: Builds the software that runs on the customer side of every connection. The Agent is what developers install and trust to securely expose their systems to the internet, and it must perform reliably across unpredictable, real-world environments.

What You’ll Actually Do

Lead a team that ships and learns quickly

You’ll manage and coach a team of 5–7 engineers. The goal isn’t just shipping—it’s building a team that can consistently make good decisions, move fast, and improve over time.

Treat management like a systems problem (with humans in the loop)

You’ll design how your team works: planning, execution, retros, feedback loops, and decision-making. You’ll tune the system, not just react to it.

Stay close enough to the code to matter

You won’t be coding every day, but you’ll get into the details when needed—reviewing designs, debugging tricky issues, and helping the team make better technical tradeoffs.

Drive product and technical direction together

This isn’t “just execution.” You’ll help shape what the team builds—balancing product work, technical investments, and experiments that actually teach you something.

Build a team people want to be on

You’ll coach junior and senior engineers, create psychological safety, and raise the bar on both performance and collaboration.

Connect the team to the bigger picture

You’ll make sure your team understands how their work ties to ngrok’s product, customers, and business. Context isn’t optional here. You’ll work closely with senior leadership and functional orgs to shape and meaningfully impact company culture and roadmap.

You Might Be a Great Fit If…

You’ve spent 5+ years as a software engineer and comfortable in Go, Rust, Java, or C/C++
You have 4+ years of engineering leadership experience
You think in systems—whether that’s distributed systems or team dynamics
You’re comfortable zooming in (code, debugging) and zooming out (strategy, org design)
You’ve built things from scratch—teams, processes, or products
You communicate clearly, directly, and without unnecessary fluff

Bonus points if you’ve:

Contributed to open source, blogs, or conferences
Worked in developer tools or product-led growth environments
Built teams in ambiguous, early-stage contexts

Tech Stack

ngrok runs entirely on AWS. Engineers develop by using remote development tools and/or ssh to connect to remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production. The codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything.

Location

This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays.

Sponsorship

All candidates must be US-based, and legally authorized to work in the United States.

At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship.

Compensation

Engineering Manager: $225,000 – $275,000

Job level and actual compensation will be evaluated based on factors including, but not limited to, qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), internal equity with other team members, market data, and specific work location. We provide an attractive mix of salary and equity.

#LI-Remote

Full Time Employee Benefits

Health stuff that actually matters. Full premiums covered on base healthcare, dental, and vision for you. Half covered for your dependents. Mental health and well-being support included, because taking care of your brain is as important as taking care of your teeth.
Retirement matching that doesn't suck. 401(k) with 100% match up to 3% of your salary and 50% match up to another 2%. Future you will appreciate present you.
Actually flexible time off. We say "open, flexible vacation policy" and actually mean it. Take the time you need. Your manager will bug you if you're not taking enough.
Parental leave that's realistic. Up to 16 weeks if you give birth, up to 8 weeks for new parents (birth, adoption, fostering—however your family grows).
Money to keep growing. Annual professional development budget for books, courses, conferences, or whatever helps you level up. Plus an annual home office/desk stipend to make your workspace not terrible.
Work from wherever. Co-working space stipend if you want to get out of your house but aren't near our SF office.
Lunch on us. 2x+ per week for employees onsite at our San Francisco office. Free food tastes better.
Company offsites. Twice a year we get the whole team together. It's part strategy, part bonding, part excuse to hang out with Bufo (the toad).
Regular feedback and fair compensation. Bi-annual reviews to make sure you're getting real feedback and staying competitively compensated. No surprises, no waiting around for performance conversations.

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ngrok Inc.

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Security Software Engineer, Infrastructure Security (Staff or Senior)

MongoDB · Austin; New York City; San Francisco; Seattle; United States

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PTO Site Reliability Engineering New York City Toronto Remote North America Posted May 8, 2026

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.

Responsibilities:

Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 2263171228

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:

$127,000—$249,000 USD

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MongoDB

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Senior Solutions Architect (Pre-Sales)

MongoDB · San Francisco

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Solutions Consulting, Growth NA San Francisco Posted May 8, 2026

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

We are looking to speak to candidates who are based in San Francisco.

As an ideal candidate, you will have

Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
Experience designing with scalable and highly available distributed systems in the cloud and on-prem
Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
The ability to travel up to 25%
A Bachelor’s degree or equivalent work experience

You may also have

Experience selling databases and/or deploying applications with any of the major cloud providers
Experience with database programming and data models
Experience in data engineering or AI/ML projects
Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
Understanding of popular sales methodologies/ frameworks such as MEDDPICC/Command of the Message
A MongoDB Certification
A Cloud Provider Certification

What you do at MongoDB

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn

MongoDB Product Suite Mastery

Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies

Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design

Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills

Effective Communication: Master presentations, demonstrations, and whiteboarding
Client Interaction: Develop strategies for discovery and objection handling

Industry Insights

Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 425710

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:

$104,000—$204,000 USD

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MongoDB

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Pre-Sales Solutions Architect

MongoDB · San Francisco

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Solutions Consulting, Growth NA San Francisco Posted May 8, 2026

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

We are looking to speak to candidates who are based in San Francisco for our hybrid working model.

As an ideal candidate, you will have:

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
Experience implementing scalable and highly available distributed systems in the cloud and on-prem
Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership.
Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle
The ability to travel up to 25%
A Bachelor’s degree or equivalent work experience

You may also have:

Experience developing, deploying, or supporting applications with any of the major cloud providers
Experience working in a technical pre-sales capacity
Experience with database programming and data models
Experience in data engineering or AI/ML projects
Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
A MongoDB Certification
A Cloud Provider Certification

What you do at MongoDB:

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn:

MongoDB Product Suite Mastery:

Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies:

Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design:

Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space

Sales Techniques and Soft Skills:

Effective Communication: Master presentations, demonstrations, and whiteboarding
Client Interaction: Develop strategies for discovery and objection handling

Industry Insights:

Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426048

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:

$125,000—$178,000 USD

Ready to apply?

MongoDB

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Software Engineer, Networking & Observability

MongoDB · Alberta; British Columbia; Manitoba; Nova Scotia; Ontario; Quebec

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PTO Clusters & Interfaces San Francisco Posted May 8, 2026

Join the MongoDB Networking & Observability team and help build the core of a distributed database ! Our team focuses on creating and enhancing components which facilitate communication between distributed processes and make these processes, and their communication, easily observable. Networking Observability’s responsibilities include improving MongoDB networking, improving the efficiency of resource utilization, and building low-overhead observability features.

Our team includes engineers located in New York City and fully remote engineers. We operate close to the bottom of the stack, and have a lot of influence over the availability, performance, and robustness of our open source database as well as the development efficiency of the engineering team overall. Recently we’ve worked on POCs and performance tests for new architectural directions in our networking stack, and are integrating OpenTelemetry to accelerate investigation of issues and integrate with a wider ecosystem of observability tooling.

Are you excited to help the MongoDB engineering team build a better database? We are! Join us today, and we can build a faster, more reliable, exceptionally observable, database system together.

Note: This role can be based out of our NYC office or remotely from anywhere in North America.

Candidate Profile

3+ years of experience building distributed systems
Passionate about delivering and deploying a product with cross-team stakeholders
Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
Hands-on experience with building production-level code. Experience in C++ is required
Interest in furthering their knowledge of networking, observability and how computer architecture and internals impact the availability
Solid verbal and written communication skills and highly motivated to collaborate with colleagues

Position Expectations

Understand and improve the current functionality of the MongoDB networking and observability codebase
Lead medium sized projects related to our networking code or observability frameworks from technical design to delivery
Collaborate with colleagues at all stages of project lifecycle (ideation, requirements gathering, design, execution, and delivery)
Own our leadership principles, and exemplify them in your work
Continue to learn and be curious in growing your career

Success Measures

In one month, you'll have fixed a few bugs in a minor version of our latest release series
In three months you’ll have contributed to the development of a project slated for the next major version
In six months, you’ll have taken on primary code review responsibilities and are involved in reviewing the design for new features
In twelve months, you’re making significant contributions to the development of a new major features

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273376223

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.

MongoDB’s base salary range for this role in Canada is:

$108,000—$149,000 CAD

AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.

MongoDB’s base salary range for this role in Canada is:

$108,000—$149,000 CAD

Ready to apply?

MongoDB

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Senior Machine Learning Engineer, Conversion Modeling

Unity Technologies · San Francisco, CA, USA

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AI & Machine Learning USA-Mountain View Posted May 8, 2026

The opportunity
At Unity, we’re committed to building a culture that fosters collaboration and innovation. Within our fast-paced environment, we’re tackling complex challenges that drive meaningful impact for creators and users across our ecosystem.

Our Vector team plays a central role in this effort by developing state-of-the-art conversion rate (CVR) prediction and market price models that power our ad ranking and recommendation systems. These models help advertisers reach the right users at the right time by accurately estimating engagement and conversion likelihood. By leveraging large-scale behavioral data, creative features, and contextual signals, we continuously improve the relevance and accuracy of our predictions. This drives key outcomes such as higher user engagement, stronger conversion performance, and better return on ad spend — enabling advertisers to achieve their goals while delivering a better experience for users.

We are seeking a highly skilled Senior ML Engineer to drive state-of-the-art bidding optimization systems that enable efficient budget pacing, goal-aligned automated strategies, continual improvement through experimentation, and sustainable growth for Unity Ads.

What you'll be doing

Design, implement, and maintain high-performance CTR and CVR prediction models that power ad ranking and recommendation systems.
Build and refine systems for creative understanding and user behavior modeling, enabling more accurate and context-aware engagement predictions.
Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback.
Actively participate and work with other leads to set the long term direction for the team, plan and oversee engineering designs and project execution.
Effectively communicate complex technical concepts to non-engineering stakeholders.

What we're looking for

Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience.
5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems.
3+ years of experience building CTR/CVR systems, content understanding, or behavior modeling systems.
Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar.
Knowledge of metric design, experimentation methodologies, and large-scale data analysis.

You might also have

Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces.
Experience with state-of-the-art control systems, reinforcement learning algorithms.
Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.

Additional information

International relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

*Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.

Gross pay salary

$172,200—$258,400 USD

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Staff Engineer, Customer Insights

Together AI · San Francisco

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Engineering San Francisco Posted May 7, 2026

Staff Engineer, Customer Insights

About the role

Together AI is seeking an experienced Staff Engineer to help found, build, and scale Customer Insights, the team responsible for the customer-facing visibility layer of Together’s Cloud. This role will shape how customers understand their activity, investigate what happened, respond when something needs attention, and govern their AI workloads with confidence.

In the near term, you will turn today’s fragmented visibility patterns into coherent product and platform foundations: historical analytics, activity history, audit logs, event timelines, notifications, and investigation workflows. You will partner closely with Together’s cloud product engineering teams and data platform team to make high-quality customer visibility a built-in capability across Together Cloud rather than a bespoke effort for each surface. Longer term, you will shape how these foundations evolve beyond dashboards and static views into AI-first investigation and insight workflows: systems that can summarize activity, explain anomalies, correlate events across surfaces, recommend actions, and provide trustworthy context to both human operators and autonomous agents.

This is a deeply hands-on role for an engineer who enjoys critical-path product and platform work. You will design the event, query, delivery, and governance systems behind customer insights while also building the user-facing workflows that help enterprise customers answer: what happened, who acted, when it happened, what matters now, and whether they need to act.

Responsibilities

Design and drive the architecture for Together's Customer Insights platform, including customer-visible events, activity history, audit logs, timelines, notifications, and historical analytics and dashboards views.
Build and operate the shared event and historical analytics visibility layer that helps product teams define important customer-facing events once and surface them consistently across analytics, logs, timelines, notifications, and governance views.
Write and maintain critical-path backend and product code used by multiple teams and customer-facing surfaces.
Partner with Data Platform and Observability engineering teams to leverage Together’s core data stack and capabilities to build out Customers Insights data collection and processing systems.
Create customer workflows that connect summaries, timelines, evidence, actors, related objects, and next steps so users can investigate operational questions without relying on support or ad hoc analysis.
Establish standards and review patterns for which events, evidence trails, notification hooks, and governance signals must exist before new product capabilities launch.
Define reliability, freshness, completeness, and correctness measures for customer-facing visibility systems, then build the checks and operating loops needed to maintain trust at scale.
Mentor engineers, influence architectural direction across teams, and help define the hiring bar as the Customer Insights area grows.

Requirements

8+ years of experience building and operating large-scale distributed systems, product platforms, or customer-facing backend systems in production environments.
Proven experience designing platforms or product systems used by multiple engineering teams or enterprise customers.
Strong backend engineering skills in one or more of TypeScript, Go, Python, Java, C++, or similar production languages.
Deep experience with event-driven systems, audit trails, activity feeds, analytics platforms, observability systems, notification systems, or investigation workflows.
Strong data modeling and systems design judgment, including schemas, retention, indexing, query performance, access control, and correctness tradeoffs.
Demonstrated ability to turn ambiguous customer and operational needs into clear technical architecture, incremental delivery plans, and durable product foundations.
Experience partnering across product, infrastructure, data, security, and customer-facing teams to land cross-cutting architecture without relying on formal authority.
Comfort writing critical production code while also setting technical direction, mentoring senior engineers, and raising engineering standards.
Bachelor's or Master's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.

Preferred Qualifications

Experience building enterprise SaaS audit logs, governance tooling, compliance evidence systems, data lineage, or incident investigation products.
Experience with high-volume event pipelines, streaming systems, OLAP or time-series storage, search systems, or large-scale analytical query engines.
Experience building notification, alert routing, escalation, or workflow automation systems.
Experience designing customer-facing analytics, reporting, dashboards, or operational intelligence products.
Experience with multi-tenant cloud platforms, identity-aware access patterns, sensitive data handling, and retention controls.
Experience with AI infrastructure, developer platforms, observability, or systems that support mission-critical enterprise workloads.
Experience running production workloads on Kubernetes or cloud infrastructure and using Infrastructure as Code and modern CI/CD workflows.
Experience building product surfaces in addition to backend platforms, especially where UX quality and technical correctness both matter.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200k-270k+ equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy.

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LLM Inference Frameworks and Optimization Engineer

Together AI · San Francisco, Singapore, Amsterdam

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Research Remote Posted May 7, 2026

About the Role

At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-efficiency.

We are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines that support multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU/accelerator optimizations, and software-hardware co-design, ensuring efficient large-scale deployment of LLMs and vision models.

This role offers a unique opportunity to shape the future of LLM inference infrastructure, ensuring scalable, high-performance AI deployment across a diverse range of applications. If you're passionate about pushing the boundaries of AI inference, we’d love to hear from you!

Responsibilities

Inference Framework Development and Optimization

Design and develop fault-tolerant, high-concurrency distributed inference engine for text, image, and multimodal generation models.
Implement and optimize distributed inference strategies, including Mixture of Experts (MoE) parallelism, tensor parallelism, pipeline parallelism for high-performance serving.
Apply CUDA graph optimizations, TensorRT/TRT-LLM graph optimizations, and PyTorch-based compilation (torch.compile), and speculative decoding to enhance efficiency and scalability.

Software-Hardware Co-Design and AI Infrastructure

Collaborate with hardware teams on performance bottleneck analysis, co-optimize inference performance for GPUs, TPUs, or custom accelerators.
Work closely with AI researchers and infrastructure engineers to develop efficient model execution plans and optimize E2E model serving pipelines.

Requirements

Must-Have:

Experience:
- 3+ years of experience in deep learning inference frameworks, distributed systems, or high-performance computing.
Technical Skills:
- Familiar with at least one LLM inference frameworks (e.g., TensorRT-LLM, vLLM, SGLang, TGI(Text Generation Inference)).
- Background knowledge and experience in at least one of the following: GPU programming (CUDA/Triton/TensorRT), compiler, model quantization, and GPU cluster scheduling.
- Deep understanding of KV cache systems like Mooncake, PagedAttention, or custom in-house variants.
Programming:
- Proficient in Python and C++/CUDA for high-performance deep learning inference.
Optimization Techniques:
- Deep understanding of Transformer architectures and LLM/VLM/Diffusion model optimization.
- Knowledge of inference optimization, such as workload scheduling, CUDA graph, compiled, efficient kernels
Soft Skills:
- Strong analytical problem-solving skills with a performance-driven mindset.
- Excellent collaboration and communication skills across teams.

Nice-to-Have:

Experience in developing software systems for large-scale data center networks with RDMA/RoCE
Familiar with distributed filesystem(e.g., 3FS, HDFS, Ceph)
Familiar with open source distributed scheduling/orchestration frameworks, such as Kubernetes (K8S)
Contributions to open-source deep learning inference projects.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

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Machine Learning, Platform Engineer

Together AI · San Francisco

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Engineering San Francisco Posted May 7, 2026

About the Role

Our team focuses on enabling custom models and dedicated inference on Together. We are responsible for building a container platform, optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer experience with great tooling. We often focus on video or audio generation across the stack: CUDA kernels, pytorch optimization, inference engines, container orchestration, queueing theory, etc. An ideal candidate will be great at profiling/optimization but know the word kubernetes, or be intimately familiar with multi-cluster scheduling and have some sense of ML bottlenecks.

Responsibilities

New hires may work on multi-cluster orchestration, portfolio optimization, predictive autoscaling, control panes, model bring-up, model optimization, APIs for managing deployments, inference worker SDKs, and CLI tools.
Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure
Partner with product teams to understand functional requirements and deliver solutions that meet business needs
Write clear, well-tested, and maintainable software and IaC for both new and existing systems
Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance

Requirements

5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems.
Experience running serverless inference platforms, doing model bring-up on short notice, being on call, or running a cloud provider is a very big plus
Good taste and ability to thoughtfully discuss how what you’ve built has failed over time
Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
Excellent understanding of low level operating systems concepts including concurrency, networking and storage, performance and scale
Expert-level programmer in one or more of Python, Golang, Rust, C++, or Haskell
Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform
Experience with Kubernetes internals or other container orchestration systems
Sound judgement for when to use and when to not use LLMs for code
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
Writing-heavy roles or companies are a plus

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

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Payroll Manager

Together AI · San Francisco

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Finance San Francisco Posted May 7, 2026

About the Role

Together AI is seeking a Payroll Manager to lead and scale our payroll operations. This role will be responsible for managing all aspects of payroll ensuring accurate, compliant, and timely processing for all employees. Reporting to the VP Controller, the Payroll Manager will bring a strong end-to-end mindset and a deep understanding of payroll operations, including upstream and downstream impacts across HR, benefits, and finance processes. The ideal candidate has extensive experience managing complex multi-state payrolls, equity and stock-based compensation, and navigating specialized scenarios such as visa-related exemptions - ensuring every payroll input, deduction, and tax treatment is processed accurately, seamlessly, and with exceptional attention to detail.

Responsibilities

Administer full-cycle payroll for all employees, ensuring accuracy, compliance, and adherence to federal, state, and local regulations.
Oversee timely and accurate bi-weekly payroll processing, ensuring all deadlines are consistently met.
Review and validate payroll inputs - including compensation changes, bonuses, commissions, benefits, and leave - and ensure accurate calculations across pay cycles.
Serve as the payroll subject matter expert, maintaining up-to-date knowledge of tax regulations, and labor laws across all relevant U.S. jurisdictions.
Manage payroll requirements for employees on work visas, including identifying exemption eligibility (e.g., FICA exemptions) and coordinating necessary documentation.
Oversee incentive and equity-related payroll processing for RSUs, NSOs, and ISOs, ensuring precise tax calculations, accurate reporting, and timely estimated tax submissions.
Serve as the primary point of contact for payroll inquiries from employees and internal stakeholders, ensuring responsive and high-quality support.

Requirements

6+ years of hands-on payroll experience, with demonstrated expertise managing complex, multi-state U.S. payroll operations; CPP or FPC certification is a plus, but not required.
Proven experience administering payroll; Paylocity experience is a strong plus.
Strong understanding of federal, state, and local payroll regulations, wage and hour laws, and tax compliance requirements.
Experience managing payroll considerations for employees on work visas, including proper application of visa-related tax exemptions (e.g., FICA exemption eligibility).
Knowledge of equity and stock-based compensation (e.g., RSUs, NSOs, ISOs) and their associated tax and reporting implications.
Experience managing payroll inputs such as bonuses, commissions, benefits, leave-of-absence scenarios, and retroactive adjustments.
Strong analytical skills with a high degree of accuracy, attention to detail, and ability to identify and resolve discrepancies.
Excellent communication skills, with the ability to explain payroll concepts clearly and support employees and internal partners.
Ability to operate independently, prioritize effectively, and thrive in a fast-paced, scaling environment.
Demonstrates sound judgment, confidentiality, and integrity in handling sensitive employee data.
Experience with HiBob is preferred, but not required.

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

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Staff Engineer, API Core Platform

Together AI · San Francisco

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Engineering San Francisco Posted May 7, 2026

Staff Engineer — API Core Platform

About the role

Together AI is seeking an experienced Backend Engineer to found Together’s API Platform team within the Production Foundations organization. In this role, you will define, build, and scale the core systems and architecture that power Together’s mission-critical APIs — including public customer APIs used directly by customers and via SDKs, CLIs, as well as the client APIs powering Together’s Cloud UI.

In the near term, you will improve and standardize the backend API layer within our primary Next.js monolith, raising the bar on reliability, performance, and consistency. In parallel, you will design and lead the evolution toward scalable, purpose-built next-gen API platform solutions optimized for different Public API and Client API use cases and traffic patterns — defining the long-term architecture and driving its incremental rollout.

This is a deeply hands-on role for an engineer who thrives on writing critical-path code and building platforms that unify engineering efforts across teams. You will work across backend systems, infrastructure layers, identity and access flows, and developer tooling to establish a cohesive API strategy that supports Together’s rapidly growing AI Cloud.

Responsibilities

Design and drive the evolution of Together’s API platform, defining how APIs are built, versioned, secured, tested, and operated across the company
Own and improve the backend API layer within our primary Next.js monolith, raising the bar on consistency, reliability, and performance
Architect and lead the transition toward scalable, purpose-built API platforms optimized for different traffic patterns and product surfaces
Write and maintain critical-path platform code that multiple services and product teams depend on
Design and implement robust authentication, authorization, and identity-aware access patterns across public and internal APIs
Establish performance standards for high-throughput APIs, implementing caching, rate limiting, fan-out control, and graceful degradation strategies
Raise the bar on API observability and reliability, defining SLOs, monitoring, alerting, and incident response practices
Drive API data modeling and schema generation strategies to ensure long-term maintainability and developer ergonomics
Partner with infrastructure and security teams to maintain a strong security posture and evolve toward zero-trust architectures
Mentor engineers, influence architectural direction across teams, and help define hiring standards as the API Platform grows

Required Qualifications

8+ years of experience building and operating large-scale, distributed backend systems in production environments
Proven experience building or significantly evolving an API platform used by multiple teams or customer-facing products
Expert-level proficiency in one or more of Golang, TypeScript, C++, or Java
Deep expertise in API performance and scalability, including caching strategies, rate limiting, parallelization, fan-out control, and graceful degradation
Strong experience designing and implementing production-grade authentication and authorization systems for customer-facing APIs
Demonstrated ability to drive cross-team architectural initiatives without formal authority, aligning multiple stakeholders around long-term platform direction
Experience building and operating systems using Infrastructure as Code (Terraform, AWS CDK, Pulumi) and modern CI/CD workflows
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent practical experience

Nice to Have

Experience with GraphQL or schema-based API federation systems
Experience evolving APIs from monoliths to modular, platform-oriented architectures
Experience designing and operating API schema generation and validation systems
Experience building developer-facing SDKs or command-line tools
Experience designing and operating multi-region, globally distributed API systems
Experience designing horizontally scalable API systems capable of handling high request volume and burst traffic patterns
Experience running production workloads in Kubernetes-based environments
Experience building services in zero-trust or identity-aware architectures
Experience with AWS networking, traffic management, and load balancing
Experience with Cloudflare or CDN-level API performance optimization

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $240,000 - $275,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

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Machine Learning Engineer

Together AI · San Francisco

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Engineering San Francisco Posted May 7, 2026

About the Role

Together AI is looking for an ML Engineer who will develop systems and APIs that enable our customers to perform inference and fine tune LLMs. Relevant experience includes implementing runtime systems that perform inference at scale using AI/ML models from simple models up to the largest LLMs.

Requirements

5+ years experience writing high-performance, well-tested, production quality code
Bachelor’s degree in computer science or equivalent industry experience
Familiar with LLM inference ecosystem, including frameworks and engines (e.g. vLLM, SGLang, TRT, ...)
Demonstrated experience in building large scale, fault tolerant, distributed systems like storage, search, and computation
Expert level programmer in one or more of Python, Go, Rust, or C/C++
Experience implementing runtime inference services at scale or similar

Responsibilities

Design and build the production systems that power the Together Cloud inference and fine-tuning APIs, enabling reliability and performance at scale
Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world
Analyze and improve efficiency, scalability, and stability of various system resources
Conduct design and code reviews
Create services, tools & developer documentation
Create testing frameworks for robustness and fault-tolerance
Participate in an on-call rotation to respond to critical incidents as needed

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $220,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

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Staff Backend Engineer - Commerce

Together AI · San Francisco

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Engineering San Francisco Posted May 7, 2026

About the Role

Together AI is seeking a Staff Backend Engineer to own the technical vision, architecture, and execution of the commerce platform powering Together's Cloud products. As a staff engineer on the Commerce Engineering team, you will set the engineering direction for mission-critical capabilities — including usage-based billing, payment processing, customer-facing analytics, and product entitlements — while raising the bar for the engineers around you.

This role is ideal for a seasoned engineer who can operate at multiple altitudes: driving system design and long-term architecture decisions while staying hands-on in code. You'll be the connective tissue between engineering, product, finance, and go-to-market — translating complex business requirements into durable, scalable backend primitives that directly impact revenue and customer experience. You'll be expected to define not just what we build, but how we build it well.

Requirements

8+ years of experience building large-scale, fault-tolerant API-driven services and backend systems
Demonstrated track record of tech lead or staff-level scope — owning system architecture decisions, influencing team direction, and delivering multi-quarter initiatives
Deep expertise in designing relational database schemas and backend APIs that support complex product and business requirements at scale
Strong experience leading and influencing cross-functional teams — comfortable partnering with product, finance, and non-technical stakeholders
Expert-level proficiency in one or more of Golang, TypeScript, Python, C++, or Java
Deep knowledge of distributed systems tradeoffs: consistency, availability, fault tolerance, and performance at scale
Strong understanding of low-level systems concepts: multi-threading, memory management, networking, storage, and I/O
Experience with infrastructure as code (Terraform, AWS CDK, Pulumi) and mature CI/CD workflows
Experience with payment processors (e.g. Stripe) and billing systems strongly preferred
Experience with Kubernetes and containerized deployments a plus
Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent practical experience

Responsibilities

Define and own the technical roadmap for Together's monetization and billing pipeline infrastructure, spanning usage metering, contract billing, entitlements, spend governance, and payments processing
Lead architecture reviews for major systems investments, ensuring long-term scalability, correctness, and maintainability across the commerce stack
Drive cross-functional alignment with Product, Finance, and Go-To-Market teams — translating business strategy into clear engineering requirements and system designs
Mentor and grow engineers on the team through design feedback, code reviews, technical coaching, and setting high standards for craft
Own data modeling and schema design for core commerce entities, making principled tradeoffs between flexibility, performance, and correctness
Establish and evolve API contracts in collaboration with client engineering teams, enabling high-quality customer-facing product experiences
Champion reliability and scalability — lead incident response, drive postmortems, and systematically improve the resilience of commerce APIs and distributed systems
Identify and reduce technical debt proactively, balancing pragmatic delivery with sustainable engineering practices

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $230,000 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy

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Senior Software Engineer, Motion Planning

Kodiak · Mountain View, CA

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Motion Planning & Controls San Francisco Bay Area, United States Posted May 7, 2026

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.

We are looking for an experienced Software Engineer to join our Behavior & Motion Planning team and lead the development of core planning capabilities that directly shape how the Kodiak Driver behaves on the road.

This is a senior technical role for engineers who thrive on ambiguous, high-leverage problems at the intersection of robotics, optimization, and real-time systems. You will own complex planning challenges end-to-end: framing the problem, aligning stakeholders, designing the technical approach, driving implementation, and validating on-road impact. Your work will influence not only individual algorithms, but also the architecture, interfaces, and evaluation strategies that enable the planning stack to scale.

You will work across Planning, Perception, Simulation, Systems, and related teams to create cross-functional solutions to some of the hardest problems in autonomous trucking. You should be excited to combine deep technical judgment with hands-on execution, using data from real-world operation to improve safety, driving quality, and system performance.

In this role, you will

Lead the design and deployment of behavior and motion-planning capabilities for complex real-world driving scenarios
Own ambiguous technical problems from concept through production rollout and iterative refinement
Shape the architecture, interfaces, and requirements across planning-related systems
Translate high-level driving goals into robust algorithms, cost functions, and performance-critical production code
Drive improvements in planning quality, prediction integration, latency, and overall system reliability
Build and influence evaluation frameworks, tooling, and workflows that turn real-world logs into measurable autonomy improvements
Provide technical leadership across cross-functional efforts and raise engineering quality through strong design and code reviews
Mentor other engineers and help guide technical direction within the team

What you’ll bring

Deep background in robotics, motion planning, optimization, controls, or related fields
MS, PhD, or equivalent experience in a technically rigorous domain
6+ years of experience building production software, including substantial experience in C++
Proven track record of owning and delivering complex technical projects with real-world impact
Strong systems thinking and the ability to work effectively across software boundaries and organizational interfaces
Excellent technical judgment, communication, and collaboration skills
Ability to balance long-term design quality with fast, pragmatic iteration in a production environment

Bonus points if you have

Experience shipping autonomy or robotics software on real vehicles or robotic platforms
Strong knowledge of motion planning, trajectory optimization, prediction, optimal control, or related areas in the autonomous systems
Experience working on real-time, performance-critical systems
Experience building evaluation, debugging, and data-analysis tools for autonomy or robotics stacks
Track record of mentoring engineers and leading technical direction across projects

What we offer:

Competitive compensation package including equity and annual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
Flexible PTO, 10 paid holidays, and generous parental leave policies
Our office is centrally located in Mountain View, CA
Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
Long Term Disability, Short Term Disability, Life Insurance
Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
Fidelity 401(k)
Commuter, FSA, Dependent Care FSA, HSA
Various incentive programs (referral bonuses, patent bonuses, etc.)

The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package

California Pay Range

$185,000—$235,000 USD

At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.

In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate’s residence, U.S. person status, and/or citizenship status. Should the position require, and Kodiak determines that a candidate’s residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.

We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](https://endorsed.com/local-law-144). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact careers@kodiak.ai with "Separate Review Request" in the email subject line.

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AI & Partner Systems Strategy Manager

NICE · USA - Atlanta, GA; USA - Hoboken, NJ; USA - Richardson, TX; USA - San Francisco, CA; USA - Sandy, UT

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GCO - Partners Mgmt USA - Hoboken, NJ Posted May 7, 2026

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

AI & Partner Systems Strategy Manager

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

The AI & Partner Systems Strategy Manager leads the design, development, and deployment of AI-powered solutions that transform Partner Operations at scale. This role focuses on building AI agents, intelligent workflows, automation frameworks, and advanced analytics. that modernize operational processes, increase efficiency, and unlock data-driven decision making across the partner ecosystem.

How will you make an impact

Lead AI‑driven transformation initiatives across Partner Operations, identifying manual, fragmented, or inefficient processes and redesigning them using AI, automation, and intelligent workflows

Design and implement AI agents that support partner onboarding, enablement, support, data enrichment, workflow orchestration, and operational decision making

Drive the technical strategy for intelligent automation, leveraging machine learning, generative AI, rules engines, and event‑driven architectures

Partner with Product Engineering, Data and Partner Operations teams to build, integrate, and deploy AI solutions using modern development practices and scalable architectures

Translate operational and business problems into clear technical requirements, system designs, and implementation roadmaps

Develop and maintain analytics frameworks and dashboards that provide deep visibility into partner operations, system performance, and AI effectiveness

Evaluate, prototype, and operationalize new AI technologies, frameworks, and platforms, ensuring security, scalability, observability, and data governance

Enable partner operation teams through AI‑driven insights, self‑service tools, and intelligent user experiences, reducing manual effort and cycle times

Leads the global strategy for modernizing the Partner Relationship Management (PRM) ecosystem, ensuring systems align with partner needs and future business requirements. Provides ongoing insights and recommendations based on partner feedback, system analytics, and market trends to drive continuous improvement.

Partners with readiness and enablement teams to ensure partners understand how to effectively use system tools and features.

Have you got what it takes?

5+ years of experience AI transformation, intelligent automation, systems strategy, product engineering, or enterprise technology.

Strong hands on or technical experience with AI, machine learning, automation, or agent-based systems

Proficiency or working experience with C++ and Javascript, and familiarity with modern software development practices (APIs, event driven systems, microservices)

Experience designing or delivering AI-powered workflows, automation platforms, or analytics solutions in an enterprise environment.

Strong understanding of data pipelines, system integrations, and analytics architectures.

Proven ability to lead cross-functional technical initiatives Working effectively with Engineering, Data, Product, and Operations teams.

Excellent communication skills with the ability to translate technical concepts into clear business outcomes and operational value.

Strong analytical and problem-solving skills, with a passion for continuous optimization through data and AI.

Experience gathering business requirements and working with technical teams to deliver system enhancements.

You will have an advantage if you also have:

Experience with Salesforce, partner portals, AI platforms, or workflow automation tools.

Background in partner ecosystems, channel management, or partner driven business models.
Certifications in product management, AI, project management, or system architecture (e.g., Salesforce, PMP, CSPO).

What’s in it for you?

Learn more about the Benefits at NICE (Link which we will land up on benefits section

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

About NICE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. 

Requisition ID:
Reporting into: VP, Partner Strategy and Operations

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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TU

Staff Research Engineer - Code

Turing · San Francisco, California, United States

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R&D / Engineering San Francisco Bay Area Posted May 7, 2026

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

The Role

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:

Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications

The Staff Research Engineer – Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing’s talent pool of 4M+ developers.

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently.

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

What you’ll do

1. End-to-End Ownership: Data Quality, Process Design, and Team Building

Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers.
Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty.
Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation.
Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing’s 4M+ developer network.
Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects.
Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality
Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap
Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively
Publish research papers and technical posts on Turing’s data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing’s model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What we’re looking for

Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).
Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

Work directly with the world’s leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence—advancing models’ ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought.
Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.
Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

Values

We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Competitive compensation
Flexible working hours

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

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TU

Frontier Data Lead - Code

Turing · San Francisco, California, United States

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R&D / Engineering San Francisco Bay Area Posted May 7, 2026

About Turing

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.

Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com

The Role

We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience.

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here:

Environments for Software Engineering / coding agents
UI-Environments for Computer-Use/Browser-Use agents
MCP-based Environments for general function-calling agents across various enterprise and consumer applications

The Frontier Data Lead – Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing’s talent pool of 4M+ developers.

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently.

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

What you’ll do

1. End-to-End Ownership: Data Quality, Process Design, and Team Building

Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers.
Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty.
Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation.
Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing’s 4M+ developer network.
Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects.
Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality
Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap
Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively
Publish research papers and technical posts on Turing’s data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing’s model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What we’re looking for

Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).
Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

Work directly with the world’s leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence—advancing models’ ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought.
Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.
Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

Values

We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
Competitive compensation
Flexible working hours

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

Ready to apply?

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AI Software Engineer

HP IQ · San Francisco, CA

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Software San Francisco, CA Posted May 7, 2026

Who We Are

HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.

We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.

We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset.

By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.

Join us as we reinvent work, so people everywhere can do their best work.

About The Role

The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments.

What You Might Do

Contribute to design, build, and maintain services that power AI-driven applications, ensuring scalability and performance.
Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices.
Optimize data pipelines and storage solutions for real-time AI inference and processing.
Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions.
Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems.
Support the implementation of security and privacy best practices for distributed AI systems.

Essential Qualifications

Requires at least Masters in Computer Science, Engineering, Data Science, Artificial Intelligence or related fields.
1+ years of experience in backend software development, with strong proficiency in Python, Java, and C++.
Working knowledge in LLM integration into multi-agent systems with strong understanding of agent orchestration, tool use, and memory/context management.
Comfortable tinkering with LLMs via prompting and experienced with tools use, task decomposition, and structured outputs.
Familiarity with database management systems (SQL and NoSQL) and data streaming technologies.
Strong problem-solving skills and ability to work in a fast-paced, agile environment.

Preferred Skills

Experience with AI model deployment and integration into backend services.
Exposure to cloud-edge hybrid architectures and distributed AI workloads.
Familiarity with on-device AI frameworks such as PyTorch, TensorFlow Lite, ONNX Runtime, or CoreML.

Salary Range: $127,000 - $175,000

Compensation & Benefits (Full-Time Employees)

The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills.

At HP IQ, we offer a competitive and comprehensive benefits package, including:

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave (US benefits overview)

Why HP IQ?

HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work.

Innovative Work
Help shape the future of intelligent computing and workplace transformation.
Autonomy and Agility
Work with the speed and focus of a startup, backed by HP’s scale.
Meaningful Impact
Build AI-powered solutions that help people and organisations thrive.
Flexible Work Environment
Freedom and flexibility to do your best work.
Forward-Thinking Culture
We learn fast, stay future-focused, and imagine what comes next—together.

Equal Opportunity Employer (EEO) Statement

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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Senior Applied Scientist, ML (MCM)

Moloco · Menlo Park, California, United States; San Francisco, California, United States

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MCM DSA Menlo Park - Office Posted May 6, 2026

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The Impact You’ll Be Contributing to Moloco:

enables marketplaces to leverage the recent advances in AI for delivering tailored ads to relevant users, driven by first-party data. MCM has established a strong product market with several leading marketplaces working with us to show relevant ads.
We’ve established our MCM’s product market fit with strong interest in our product. MCM is an important product that is key to Moloco’s continued success and is in a high growth phase. The science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. As a Senior Applied Scientist focused on ML in MCM, you will have the opportunity to work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing. We highly value prior experience in working in ad-tech.

What You’ll Do:

Conduct deep-dive analysis to influence R&D decisions and strategies: analyze large datasets, extract valuable signals out of noise, and design state of the art machine learning models to optimize Moloco’s complex bidding system.
Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs.
Leveraging the latest advances in deep learning to evaluate and improve our search quality.
Build the right metrics for product areas and guide ramps with domain data expertise: improve performance monitoring of a large and complex ads ecosystem by establishing the right metric framework, and understanding cause-and-effect relationships across drivers; guiding ramp decisions through rigorous A/B testing.

Basic Qualifications:

MS or Ph.D. degree in a quantitative discipline with exposure to advanced modeling and statistical techniques.
6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.
Experience with one or more programming languages including Python, Java or C++
Past experience with ad-tech/ranking/retrieval and/or search quality is preferred.

Preferred:

4+ years of experience (industry or postgraduate) in Data Science, with a heavy focus on experimentation and causal inference in a high-growth tech environment (AdTech preferred).
Demonstrated leadership and self-direction. Able to seek out new business questions and effectively scope projects to improve our ML model performance.

Our Compensation And Benefits (for United States Residents Only)

In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.

Base Pay Range:

$184,000—$230,000 USD

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

AI Use in Interviews

Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

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Manager, Embedded Systems

PAX Labs · San Francisco, CA

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Hardware Engineering San Francisco Posted May 6, 2026

THE COMPANY:

At PAX Labs we strive to enhance people’s lives through exceptional cannabis experiences. Our curated set of pure full flavor pods and award-winning devices make enjoying cannabis simple and safe. For more than a decade, we have created next-generation devices that deliver enduring quality and wellness benefits through innovations in design and technology, and remain trusted by millions of consumers nationwide. Our standards allow for the safest vaporization of cannabis on the market. We are passionate about increasing well-being and joy through the power of cannabis, and we are committed to advancing opportunity through supporting social justice, access and equity in the industry.

We are incredibly excited about the tremendous growth of the cannabis industry, inspired every day by how cannabis can change lives, and fortunate for our leading position in the space. Our culture is focused on putting the consumer first, making an impact together, and also having fun along the way!

ROLE AND RESPONSIBILITIES:

Reporting directly to the Director of Mechanical Engineering, PAX is looking for a Manager of Embedded Systems (EE/HW) to lead the group responsible for design, engineering, debug, and validation of PAX hardware products.

This role is responsible for leading and developing modular embedded system architectures that are highly reusable and scalable across our product portfolio. This role will immediately manage a small group of Electrical and Hardware engineers. We need this role to be hands-on and highly technical - it’s a great opportunity to combine what you love about engineering with what you love about multiplying your skillset and coaching and managing others.

Lead the development and design of electronic systems, including hardware and firmware, for cannabis hardware products
Lead and manage a team of hardware and electrical engineers in the design, development, and production of our cannabis hardware products. Manage, grow, and coach direct reports on technical issues and interactions, ensuring a psychologically safe and trusting environment to enable high degrees of collaboration
Oversee the development and maintenance of engineering documentation, including schematics, PCB layouts, and software source code
Drive performance validation of internally and externally developed products. This includes developing internal tools/fixtures needed to validate performance and reliability of products, core technologies, and batteries
Drive best practices, rigorous design execution, to deliver innovative and high performing designs on schedule
Heavy collaboration with cross functional product and engineering teams.
Collaborate on embedded or PC-level software tools to control PCB test fixtures and development tools.
Create/execute verification and validation protocols.
Follow PAX Labs’ design control and documentation procedures

PERSONAL AND PROFESSIONAL QUALIFICATIONS:

5+ years in consumer products and/or other product development
Deep knowledge of electronic hardware and firmware design, including PCB design, schematic capture, and programming languages such as C/C++ and Python
Strong track record of shipping products and managing them through their entire life cycle
Experience working with Asian manufacturing and supply chains
Excellent organizational, communication, presentation, and data analytics skills

THE IDEAL CANDIDATE WILL:

Have seen multiple product cycles from start to finish and shipping consumer hardware at high volume.
Be a creative problem solver and make data-driven decisions.
Have experience working with development partners in a JDM style engagement
Be hyper organized and you won’t hesitate to fix something that’s disorganized or broken.
Have a natural tendency to identify inefficiencies and take action to resolve them.
Effectively lead and influence others, driving decisions cross-functionally across the org that enable your team or deliver on the best technical solution for the company.
Practice servant leadership and realize it’s your first responsibility to unblock the team so they can move forward, while also focusing on coaching and mentoring them along the way.
Have a passion for the cannabis industry and experience working with cannabis-related products is preferred

Education

BS in Electrical Engineering or Computer Engineering, related discipline, or demonstrated equivalent experience.

PAX LABS PERKS & BENEFITS:

Competitive compensation, equity & bi-annual performance reviews
Fully funded comprehensive medical, dental, and vision coverage
401K plan
Generous PTO policy
Paid Parental Leave
Monthly wellness reimbursement
Cell Phone reimbursement
Employee Purchase Program for discounted PAX devices
Weekly catered lunch, endless snacks and beverages
Dog Friendly HQ in the Mission District of San Francisco
Employee Assistance Program including access to online legal support

COMPENSATION

In addition to the benefits below, this role has a pay range between $175,000-205,000 and equity. The pay range represents what we believe, in good faith, this role will pay. The final salary offer will be determined based on a variety of factors including, but not limited to, depth of experience, geographic location, and relevant education/training.

PAX VALUES

Put Consumers First - We are here to enhance their lives. We put their needs first in everything we do. We work together to deliver unique solutions for their benefit.

Build a Community - We are active and beneficial builders of a global community. We collaborate together to support sustainability, well-being and social equity efforts—both internally and externally—to establish cannabis as a force for good.

Innovate with Passion - We are passionate about enhancing the cannabis experience by making it positive, accessible and intuitive. We set the standards, innovate for consumers and find the yes as a team.

Be the Solution and Collaborate - We work as a team to achieve winning outcomes, knowing we each individually are the solution, but can only succeed together.

Lead with Humility and Transparency - We stay open and humble in everything we do. We value learning from each other, and cultivate transparency in our culture and products.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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VP of Software

Fellow · San Francisco, CA

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Hardware Research & Development Florida - Forge Posted May 6, 2026

About Fellow

At Fellow, we’re on a mission to help people brew ridiculously good coffee at home. But we’re more than just beautifully designed kettles and grinders—we’re a brand built on innovation, community, and culture. We believe great coffee isn’t just about the final cup; it’s about the experience, the ritual, and the people who make it all happen.

We’re looking for a VP of Software to own the entire software ecosystem—spanning Embedded Firmware, Control Systems, Mobile Apps, and Cloud Backend.

Your mission is to build the "machine that builds the machine." We are looking for a systems thinker obsessed with operational leverage–someone who ensures that as our product line expands from kettles and grinders to complex brewing ecosystems, our engineering velocity accelerates, and system reliability improves at scale.

This role is based in our San Francisco, CA office and requires regular in-office presence in accordance with company policy.

Who You Are

You’re an experienced engineering leader who has built and led multidisciplinary teams across software, hardware, product, and design. You know how to align functions around a shared roadmap, make clear tradeoffs, and create accountability without friction. As products grow more complex, you understand how to structure teams, processes, and architecture to scale. You foster a culture of ownership, close collaboration, and open communication.

You care deeply about how software is built. You’ve implemented automated CI/CD pipelines and strong testing practices that support complex products, reducing manual work and improving reliability. You use metrics to understand delivery performance and team health, pairing data with sound judgment. You’re pragmatic, curious, and motivated to build products that are both technically rigorous and thoughtfully designed. You’re motivated by raising the bar, not maintaining the status quo.

What You’ll Do

Scale the Engineering Organization: Design the team structure, process, and operating systems that allow us to ship high-quality firmware, mobile, and cloud services with extreme efficiency.
Set the Technical Direction: Lead the technical roadmap for our embedded systems, control logic, mobile interfaces, and cloud services. You’ll ensure the "brain" of our hardware is as elegant as its exterior.
Raise the Bar on Engineering Quality: Establish best practices for CI/CD, automated testing, code review, and release management—especially for complex hardware-software integrations where reliability is critical.
Consolidate & Modularize: Drive the evolution of our codebase architecture. You will lead the effort to consolidate repositories into a modular, reusable architecture that speeds up development for future product launches.
Lead Cross-Functional Execution: You will bridge the gap between technical constraints and user delight, ensuring our digital experiences are as intuitive as a manual pour-over.
Increase Development Velocity: Identify and remove bottlenecks in the development lifecycle. Invest in tooling, automation, and modern workflows (including AI-assisted development where appropriate) to optimize the engineering “inner loop”—improving cycle time and release confidence.
Own Delivery & Reliability: Be accountable for predictable execution, system performance, and post-launch stability across our connected products.
Hire and Develop Exceptional Talent: Recruit, mentor, and retain a high-performing engineering team. Create a culture of ownership, transparency, and continuous improvement.
Strategic Leadership: Work closely with the CEO and hardware teams on major architectural and "build vs. buy" decisions, helping define the long-term future of connected specialty coffee.

Qualifications

12+ years of experience in software engineering, with deep hands-on experience in both "hard" embedded systems engineering (C/C++, RTOS, Control systems) and "soft" engineering (Cloud-native, Mobile, UX).
Proven track record of scaling an engineering organization from early stage to high-growth, including building and leading teams across multiple disciplines.
Demonstrated success delivering connected products where hardware and software are tightly integrated, with ownership across architecture, reliability, and lifecycle management.
Deep expertise in IoT ecosystems, including OTA (Over-the-Air) updates, fleet management, and sensor fusion.
Experience establishing modern development practices, including CI/CD, automated testing, release management, and metrics-driven delivery.
A portfolio of shipped products where software and hardware interact seamlessly.
Strong technical judgment across modern applications and embedded stacks (i.e.React, Node.js, AWS, C/C++), with the ability to evaluate tradeoffs and evolve architectural decisions as the company scales.
Strong executive communication skills, with experience partnering closely with CEO-level leadership and presenting technical strategy to senior stakeholders or boards.

Why You’ll Love This Role

A creative, fast-moving environment where ideas turn into action.
Competitive compensation including employee equity plan
Generous paid time off plan
401k with company contribution after 6 months of employment
Medical/dental/vision insurance
Better Yourself Wellness credit & Better Your Community donation matching
Monthly Fitness Stipend
Summer Fridays
Paid Parental Leave
Generous discount on Fellow products
Best coffee anywhere

Salary Range: $240k - $280k plus bonus & generous equity package

Our highest goal at Fellow is creating a safe, inclusive, and rewarding environment where everyone can bring their whole selves to work and thrive. We are committed to building diverse teams and strongly encourage people from underrepresented groups, including but not limited to women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.

Fellow is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity, gender expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.

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Software Engineer- Database Infrastructure

Discord · San Francisco Bay Area

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Core Tech Engineering San Francisco, CA Posted May 6, 2026

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.

The Database Infrastructure team develops and operates all of Discord’s databases and data services. Those systems store the data of Discord's 200M+ monthly active users—including trillions of messages! We work across multiple areas: databases, disk storage and Rust-based data access services. We're a small team whose work has a huge impact on our company's success and ability to grow!

Some blog posts from the team:

You will:

Build and operate large-scale, reliable and performant data systems with ScyllaDB, PostgreSQL, ElasticSearch, Linux and Rust.
Collaborate with product and infrastructure teams to develop storage primitives enabling all of Discord.
Exercise "First Principles Thinking" to always deliver what matters most to our users.
Work with a talented team of engineers who have built one of the largest communication platforms in the world.

You have:

2-4 years of experience with building backend infrastructure
Ability to troubleshoot, debug, and test complex systems in a live, production environment
Strong operating systems, distributed systems, and concurrency control fundamentals
Proficiency with at least one statically-typed programming language: e.g. Rust, Go, Java, C, C++
Comfortable working in fast paced environments

Bonus Points:

Experience with highly-available and distributed databases: e.g. ScyllaDB, Cassandra, Vitess, Postgres w/HA, etc.
Experience with Rust
Knowledge of DevOps tools like Salt, Terraform or Kubernetes

More things that might interest you:

We’ve tackled a lot of fascinating technical challenges over the years, and blogged about it regularly:
One of our team members even wrote a book on ScyllaDB
We present at conferences:
- How Discord Indexes Trillions of Messages by Vicki Niu
- How Discord Performs Database Upgrades at Scale by Ethan Donowitz

The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

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Senior Software Engineer, Developer Success

Discord · San Francisco Bay Area

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Developers San Francisco, CA Posted May 6, 2026

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.

People come to Discord before, during, and after gaming, and we want to make that experience even better. The Developer Success team is building the tools for game developers to make that happen by harnessing the power of Discord from right within their games. We believe that gaming is better when playing with your friends and aim to foster better and deeper relationships through that. This is also reflected in how we work! Our engineering culture believes that great teams are built through collaboration and trust. Come and join us!

What You’ll Be Doing

Delivering high-quality, high-impact projects that unlock new capabilities for game developers. This could include anything from our web APIs, realtime infrastructure, C++ SDKs, developer portal, or even in the UI. Whatever it takes to get the important thing done.
Collaborating with the other engineers on your team to write, review, and ship elegant and scalable code. You take pride in the fact that your code will be used by millions and millions of people!
Leading projects through the whole life cycle: including gathering requirements, breaking down milestones into smaller pieces, building, then shipping the thing.
Listening and working with our game developer partners to better understand their needs in order to improve our tools. This could mean hopping into partner meetings as a technical expert or working with our DevReal team to answer their questions.
Working with product managers, designers, and partner managers to cut through ambiguity and find the way forward.
Using your attention to detail to continually raise the quality bar of the software we write.

What you should have:

5+ years experience as a software engineer.
Experience with some parts of our tech stack: Python, Typescript/React, or Elixir. You are comfortable switching across stacks or learning new ones.
You have a sense for product and design. We don’t operate in silos, and you’ll be collaborating closely with cross-functional peers. You should be able to express opinions and collaborate to make something great.
You take a holistic approach to problem solving. You believe in solving a problem from first principles rather than simply shipping a solution. You learn from your mistakes and work through obstacles with the rest of the team.
You actively leverage AI coding tools to accelerate your productivity.

Bonus Points

Experience with game development. Bonus bonus points if you’re familiar with Unity and/or Unreal.
Experience with mobile development.
Experience leveraging a cloud platform (GCP, Amazon, or Azure) to serve as the backend infrastructure for a product.

The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

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Rust/C++ Senior Software Engineer

Discord · San Francisco Bay Area

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Core Tech Engineering San Francisco, CA Posted May 6, 2026

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.

Discord is looking for a Senior Software Engineer to build high-performance, cross-platform client software that powers experiences for 200+ million users worldwide. You'll work on core libraries that run across Windows, Mac, Linux, Android, and iOS—writing native code using platform-specific APIs to provide optimal experiences wherever people use Discord.

As a Senior Software Engineer on our A/V Client team, you'll tackle challenging performance problems, design systems that scale across diverse hardware configurations, and build the foundation that enables real-time experiences for millions of concurrent users.

What you'll be doing:

Build core libraries that power Discord's client experiences across desktop, browser, and mobile platforms (Rust, C++, and Typescript)
Optimize performance end-to-end across all supported platforms
Design and run experiments with proper success criteria and statistical rigor to validate improvements
Debug complex issues across diverse hardware and platform configurations
Collaborate with cross-functional teams to ship features that delight millions of users

What you should have:

4+ years building large-scale, cross-platform software (Windows, macOS, Android, iOS, or game console development)
Strong Rust or C++ skills with deep understanding of memory management, multi-threading, and low-level optimization
Experience building performance-critical applications where milliseconds matter

Bonus points:

Experience designing experiments that prove (not just suggest) improvements
Experience with real-time media applications (audio/video, game streaming, etc.)
Hands-on experience with WebRTC, SDP, SRTP, or DTLS protocols
Familiarity with audio/video codecs (Opus, H.264, AV1, etc.) and their corresponding quality measurements (POLQA, PSNR, VMAF, etc.)
Proficiency with CPU, GPU, and memory profiling—you can identify bottlenecks, optimize critical paths, and manage resource constraints effectively
You have built or contributed to open source projects

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). For this role, the hiring manager would like folks to be in the office 1 day a week. Relocation assistance may be available.

The US base salary range for this full-time position is $196,000 to $245,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!

Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.

Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

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Software Engineer, University Grad

Glean · San Francisco Bay Area

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University Mountain View, CA (HQ) Posted May 6, 2026

About Glean:

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.

At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.

Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.

If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.

About the Role:

Are you a recent university graduate with a passion for software engineering and a desire to make a difference in the tech world? We are seeking highly motivated and creative graduates to join our team in various software engineering roles: Backend Engineer, Product Engineer, and ML Engineer. As a University Graduate Software Engineer, you will participate in designing, developing, and maintaining software solutions that power our products and services. Team placements will be made at the end of the process based on interest and open roles.

You will:

Own impactful infrastructure problems from inception and architecture to production launch
Write well thought out design documents and ship robust, high-quality, well-tested code
Work collaboratively with a strong team to identify the most impactful projects we should be prioritizing in our roadmap
Mentor more junior engineers and learn from experienced ones

About you:

Undergraduate/graduate degree in Computer Science, or related degree - degree must be completed before joining
Strong coding skills (e.g., Go, Python, Java, Javascript, or C++) with solid understanding of data structures, algorithms, and software design principles
Experience working on infrastructure for distributed systems or cloud-native applications
Experience building and shipping ML models and/or solving NLP problems
A team player who thrives in a fast-paced, customer-focused environment, with a passion for learning and staying current with industry trends

Location:

This role is hybrid (3-4 days a week in one of our SF Bay Area offices)

Compensation & Benefits:

The standard base salary range for this position is $140,000 - $150,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

AI-First Mindset at Glean:

At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. US applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.

By clicking “Submit Application,” I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement, and I agree to the terms.

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Quantitative Sales

Databento · Remote / San Francisco / NYC / Boston / Salt Lake City

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Sales, Growth and Marketing Posted May 6, 2026

The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.

Databento is the next generation market data provider — with the radical idea that you should only pay for the data that you use. We power the world's largest finance and fintech institutions and lower the barrier of entry for small startups, gaining over 4,000 users during our first year of launch. Our team brings former experience at the world's leading quantitative firms, including Two Sigma, Flow Traders, Tower Research, PDT Partners, SIG, and more.

We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency.

Responsibilities

As a Quantitative Sales Associate, you will oversee the full scope of sales at Databento. This includes the following:

Own the technical sales process, from answering technical customer inquiries and providing data samples to solving data-related issues that our customers raise.
Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust.
Gather customer feedback, testimonials, case studies, and more.
Establish and maintain accurate, timely, and documented forecasting and record-keeping procedures, keeping our CRM up-to-date and organized.
Build a network of executive relationships across the industry and with key partners and customers.
Stay up-to-date with industry trends, market dynamics, and competitor activities to identify potential business opportunities and adapt sales strategies accordingly.
Collaborate across teams to align sales efforts with overall company objectives and ensure a seamless customer experience.

Desired Qualifications

The ideal candidate has experienced the end-to-end sales pipeline, including top-of-funnel, upselling, channel sales, customer success, and forecasting. Below are other skills that we look for:

Understand and communicate with our user base of developers and quants.
Experience with quant trading and market microstructure.
Extreme attention to detail and record-keeping, as well as the ability to automate processes in HubSpot.
Professional communication skills that align with the tone of an institutional financial product.
White-glove management of the sales cycle with continual buy-in from the customer, discovering the user's pain points, signs of friction, being honest when our product isn't the best fit, not being too pushy or salesy, and knowing when to continue vs. back off.
Readiness to work within a startup environment with limited resources and personnel.
As a bonus: Active usage of GitHub, knowledge of enough C++, Python, and/or Rust to help answer client inquiries.

Notice about phishing scams

Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.

--

Databento, Inc. provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.

Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

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Senior Payroll Specialist

Asana · San Francisco

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Finance San Francisco Posted May 6, 2026

Asana is seeking a highly motivated and detail-oriented US Senior Payroll Specialist minimum 5 years of end-to end payroll experience. The ideal candidate will have Workday Payroll experience with a strong understanding of federal and multi-state tax regulations, monthly journal entries, and account reconciliation. This role requires exceptional customer service skills and the ability to thrive in a fast-paced environment, communicating effectively with employees, business partners (internal and external) and across various levels of leadership.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

Manage end-to-end payroll processes for US employees, ensuring accuracy and efficiency in bi-monthly cycles.
Maintain compliance with payroll wage and tax laws across various states and jurisdictions.
Collaborate with teams to integrate payroll data seamlessly and support various projects within the department.
Optimize payroll processes by identifying improvement opportunities and implementing best practices.
Perform data reconciliation/audits to ensure data integrity across multiple disparate systems (e.g. Workday HCM/Payroll, Equity, NetSuite)
Generate ad-hoc payroll reports for internal and external stakeholders.
Serve as a Workday subject-matter expert, handling system configuration, issue resolution, and data maintenance for the payroll module

About You:

Extensive experience (5+ years) in end-to-end US payroll processing within a fast-paced public company.
Expertise in Workday Payroll, including proficiency in handling processing and report generation.
In-depth knowledge of federal and state payroll tax regulations and accounting practices.
Proven track record in month-end accounting, coupled with a capability to manage journal entries using NetSuite.
Strong verbal and written communication skills, with an ability to articulate complex information effectively.
Demonstrated capability to juggle multiple tasks, prioritize, and hit critical deadlines in a high-volume setting.
High attention to detail and robust analytical and problem-solving abilities.
Certified Payroll Professional (CPP) designation is considered an advantage.
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer:

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $150,000-$170,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

About us

Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.

Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

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Staff Software Engineer, Kubernetes Platform

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA

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Software Engineering - Infrastructure New York City, NY San Francisco, CA Posted May 6, 2026

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic runs some of the largest Kubernetes clusters in the industry. We have fleets of hundreds of thousands of nodes across multiple cloud providers and datacenters to train, research, and serve frontier AI models. The Kubernetes Platform team owns the Kubernetes control plane that makes those clusters work.

We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure.

We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow.

Key responsibilities

Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption
Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us
Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on
Build and maintain custom controllers, operators, and CRDs
Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities
Collaborate with cloud providers on required features and escalations
Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures

Minimum qualifications

Significant software engineering experience building and operating production distributed systems
Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++)
Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters
Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes
A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on
Strong written and verbal communication; comfort building consensus with internal stakeholders

Preferred qualifications

Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar
Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents)
Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments)
Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL
Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code
Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF
8+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$320,000—$405,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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AM

Staff Software Compliance Engineer

Amperesand · Reno, Nevada, United States; San Francisco, California, United States

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Software/Firmware Reno (NV) San Francisco (SF) Posted May 6, 2026

Company Overview

Amperesand is reinventing how the world powers its most critical systems.

We are facing a once-in-a-generation opportunity for infrastructure disruption. Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern industrial growth. Energy supply is shifting to incorporate a more diverse mix of resources – including solar, gas, and batteries – at a massive scale.

And yet the power infrastructure behind our latest mega-projects hasn’t meaningfully changed in nearly 100 years. Supply chains for today’s infrastructure equipment can’t match the pace and sophistication of critical energy projects. Amperesand is building hardware and software that rewrites this broken power infrastructure playbook to support a new era of energy abundance.

We’ve built a new class of intelligent, software-defined power infrastructure products leveraging a decade of advanced medium voltage Solid State Transformer research that’s now ready for commercial deployment.

Our products and solutions go far beyond the capabilities of traditional electrical equipment. We make power systems that are faster to deploy, dramatically smaller and more efficient, and capable of supporting modern, dynamic energy needs for tomorrow’s most demanding energy consumers.

Scalable in-house advanced manufacturing capability is our foundation for meeting timeline and quality expectation to serve infrastructure customers around the world.

Amperesand is led by breakthrough energy hardware development veterans and funded by top tier investors who share our vision of building a category-defining energy technology company.

With hubs in San Francisco, Reno, and Singapore, our global team is laser focused on building foundational technology to solve the most pressing problems in power infrastructure at scale.

Join us in building the power foundation of the future!

Role Summary

This role requires a blend of deep technical knowledge, regulatory acumen, and strategic thinking to ensure that all firmware and software for Solid-State Transformers (SST) adhere to the highest standards of safety, reliability, and compliance.

Responsibilities:

Develop and oversee compliance implementation for SST firmware and software to meet or exceed industry standards and regulations

Continuously perform risk assessments to identify potential compliance issues in firmware development processes and implementation

Design, develop, and execute compliance testing protocols, ensuring software meets all regulatory requirements

Maintain comprehensive documentation for compliance activities, including test results, compliance reports, and change management logs

Assess and audit complete development toolchain for compliance risks and vulnerabilities

Work with product and compliance teams to maintain clear communication with regulatory agencies or auditors

Guide developers to follow a compliance by design philosophy for relevant software

Work with engineers to solve complex problems and ensure project milestones are met

Stay updated with new technologies and methodologies to enhance compliance efficiency and effectiveness

Qualifications:

Degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, Mechatronics, etc. with 5+years of professional experience or combined equivalent experience with evidence of exceptional ability

3+years of experience with software compliance, regulatory agencies, and preferably functional safety or electrical standards (IEC 62443, UL 1998, UL 5500, IEC 60730, IEC 62351, etc.)

Proficiency in C or C++ for embedded systems

Experience with software and firmware testing frameworks

Excellent written and verbal communications in English, especially where compliance documentation is concerned

Excellent analytical skills to conduct risk assessments and safety analysis (FMEA, HAZOP, etc.)

Please note: This role requires working on-site 5 days a week. We do not offer hybrid or remote options.

Pay Disclosure & Benefits

Compensation will be determined based on experience, location, and other factors permitted by law.

The benefits outlined below apply exclusively to employees located in the United States.

Competitive Salary + Incentive Stock Options

Medical, vision, and dental benefits for employees and their dependents, effective from the start of hire

Company paid Basic Life, AD&D, short-term and long-term disability insurance

401k retirement savings plan through Empower

Employees receive paid time off (PTO), paid sick days, and paid company holidays

Commuter Benefits

100% paid maternal leave (12 weeks) and paternal leave (6 weeks)

Singapore-based employees receive benefits in accordance with local government provisions.

Equal Employment Opportunity

Amperesand is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

Amperesand is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

Ready to apply?

Apply to Amperesand

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Senior Software Development Manager, Engagement Growth

Twitch · San Francisco, CA

Apply now

Community Growth San Francisco, CA Posted May 6, 2026

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Team

The Twitch On Demand team drives community engagement through non-live offerings, specifically owning Video on Demand (VODs), Clips, and Stories. We manage numerous services that enable viewers to consume content on their own schedule and help creators expand their reach.

About the Role

As an Engineering Manager within the Engagement Growth organization, you will lead one of three engineering teams. Your team will collaboratively build experiences designed to keep viewers actively engaged with Twitch. This role involves close partnership with product managers, designers, and data scientists to develop systems serving millions of daily users.

You can work from San Francisco,CA or Seattle, WA.

You Will:

Build the systems that provide the critical connection between viewers and creators within the Twitch ecosystem
Design and run consumer-scale services powering VODs, Clips and Stories for millions of daily users
Power and enable AWS applications at scale
Partner with Product, Design and Data
Drive the professional growth and career advancement of team members through structured development planning, mentorship, and strategic talent management
Develop a long term roadmap and set direction for a team of 10 engineers

You Have:

BA/BS in computer science or equivalent industry experience
3+ years of experience as software engineering manager
5+ years of working in software engineering
Development experience in one or more general purpose programming languages such as: Golang, Python, C/C++, Java
Experience designing or architecting (design patterns, reliability, and scalability) of new and existing systems
Proven ability to identify user needs and deliver customer-centric product solutions
Experience developing and running large-scale consumer services

Bonus Points

Familiarity in the AWS ecosystem of service
Experience utilizing Agile development methodologies
Experience in hiring, mentoring/coaching and managing teams of software engineers
Experience with full-stack or front-end development
Deep knowledge of Golang
Familiarity with Twitch, either as a viewer or creator (or both!)

Perks

Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job ID: TW9132

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

US, WA, Seattle - Annually

$184,900—$250,200 USD

US, CA, San Francisco - Annually

$212,700—$287,700 USD

Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.

Ready to apply?

Apply to Twitch

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Senior Software Development Manager, Engagement Growth

Twitch · Seattle, WA

Apply now

Community Growth San Francisco, CA Posted May 6, 2026

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

About the Team

The Twitch On Demand team drives community engagement through non-live offerings, specifically owning Video on Demand (VODs), Clips, and Stories. We manage numerous services that enable viewers to consume content on their own schedule and help creators expand their reach.

About the Role

As an Engineering Manager within the Engagement Growth organization, you will lead one of three engineering teams. Your team will collaboratively build experiences designed to keep viewers actively engaged with Twitch. This role involves close partnership with product managers, designers, and data scientists to develop systems serving millions of daily users.

You can work from San Francisco,CA or Seattle, WA.

You Will:

Build the systems that provide the critical connection between viewers and creators within the Twitch ecosystem
Design and run consumer-scale services powering VODs, Clips and Stories for millions of daily users
Power and enable AWS applications at scale
Partner with Product, Design and Data
Drive the professional growth and career advancement of team members through structured development planning, mentorship, and strategic talent management
Develop a long term roadmap and set direction for a team of 10 engineers

You Have:

BA/BS in computer science or equivalent industry experience
3+ years of experience as software engineering manager
5+ years of working in software engineering
Development experience in one or more general purpose programming languages such as: Golang, Python, C/C++, Java
Experience designing or architecting (design patterns, reliability, and scalability) of new and existing systems
Proven ability to identify user needs and deliver customer-centric product solutions
Experience developing and running large-scale consumer services

Bonus Points

Familiarity in the AWS ecosystem of service
Experience utilizing Agile development methodologies
Experience in hiring, mentoring/coaching and managing teams of software engineers
Experience with full-stack or front-end development
Deep knowledge of Golang
Familiarity with Twitch, either as a viewer or creator (or both!)

Perks

Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job ID: TW9132

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

US, WA, Seattle - Annually

$184,900—$250,200 USD

US, CA, San Francisco - Annually

$212,700—$287,700 USD

Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.

Ready to apply?

Apply to Twitch

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Twitch

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Staff Engineer, Storage Control Plane

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA

Apply now

Technology Dallas, TX San Francisco, CA Sunnyvale, CA Bellevue, WA Livingston, NJ New York, NY Posted May 5, 2026

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do:

We’re looking for a Staff Storage Engineer to play a key role in designing, building, and operating the control plane for our high-performance AI storage platform. You’ll help evolve CoreWeave’s storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and innovative AI workloads in the world. This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.

About the role:

Design and implement a highly scalable multi-tenant control plane that supports CoreWeave’s growing AI storage and cloud infrastructure needs.
Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.
Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.
Participate in efforts to improve the reliability, durability, and observability of our storage stack.
Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

Who You Are:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
10+ years of experience working in storage systems engineering or infrastructure.
Strong hands-on experience with object storage or distributed filesystems in production environments.
Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.
Proficiency in a systems programming language such as Go, C++, or Rust.
Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).
Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.
Strong debugging and problem-solving skills in distributed, high-performance environments.
Clear communicator, able to work collaboratively across teams and share technical insights effectively.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Ready to apply?

CoreWeave

View all jobs →

Offensive Security Engineer

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA

Apply now

Technology San Francisco, CA Sunnyvale, CA Bellevue, WA Livingston, NJ New York, NY Posted May 5, 2026

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do:

CoreWeave’s Information Security team ensures that both internal and external systems are secure, resilient, and compliant. Our team partners with engineering and product teams to identify vulnerabilities, harden systems, and maintain a high standard of security across all infrastructure and applications that deliver high-performance compute to our customers.

About the role:

As an Offensive Security Engineer at CoreWeave, you will lead efforts to identify and mitigate security risks across internal and external systems. You’ll perform penetration testing, conduct threat modeling, and provide guidance to engineering teams on secure design and best practices. This role also involves developing security tooling, researching emerging threats, and contributing to the continuous improvement of CoreWeave’s overall security posture.

Some of what you’ll work on:

Perform penetration testing as well as purple and red team exercises.
Conduct threat modeling, code reviews, and design reviews for development teams.
Research new attack techniques and develop strategies to counter them.
Develop and enforce security best practices and standards, maintaining internal compliance.
Provide solutions to complex security issues, manage multiple tasks, and prioritize effectively in a fast-paced environment.
Present technical security information to both technical and non-technical audiences.
Maintain technical documentation, reports, and security tooling with attention to detail.
Participate in other security-related initiatives as assigned.

Who You Are:

5+ years of experience in offensive information security roles.
Proficiency in at least one programming or scripting language (e.g., Go, Python, C/C++) for automation, code reviews, and tooling.
Hands-on penetration testing experience and familiarity with offensive security tools.
Strong technical knowledge of Linux operating systems and containerized environments.
Experience securing Kubernetes and understanding related security practices.
Able to navigate ambiguity, identify root causes, and solve complex security problems.
Excellent written and verbal communication skills with strong technical documentation abilities.
Capable of working independently while managing multiple priorities in a fast-paced environment.
Strong desire to continuously learn and adopt new technologies and security techniques.

Preferred:

Experience with firmware reverse engineering, analyzing binaries, bootloaders, and embedded systems for vulnerabilities.
Relevant certifications such as Sec+, Net+, OSCP, or equivalent.
Experience with EDR tuning, detections-as-code, or threat hunting as part of a Blue Team.
Deep understanding of business-wide security best practices and implementation strategies.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

You love hunting vulnerabilities and proactively improving security.
You’re curious about evolving attack vectors and defense strategies.
You’re an expert in offensive security techniques and tooling, with a passion for safeguarding systems.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Ready to apply?

CoreWeave

View all jobs →

Senior Data Center Security Initiatives Project Manager

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA/ Dallas, TX / Richmond, VA

Apply now

Data Center - COR Dallas, TX San Francisco, CA Sunnyvale, CA Bellevue, WA Livingston, NJ New York, NY Richmond, VA Posted May 5, 2026

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do:

The Sr. Data Center Security Initiatives Project Manager drives the end-to-end deployment of physical security innovations and enhancements. Reporting to the Senior Manager of Data Center Risk and Assurance, this position leads complex, large-scale projects including the implementation of Wireless Intrusion Detection Systems (WIDS) and other cross-functional physical security initiatives. You will work and influence across teams to ensure that cutting-edge security technologies and operational enhancements are integrated into CoreWeave’s Data Center Security program, aligning with security standards, customer requirements and organizational objectives.

This Sr. Project Manager will execute project lifecycle activities for new security systems and operational deployments, partnering closely with Security Design and Commissioning, Networking, Security Engineering, Global Security Operations Center, Security Operations, DC Operations, and external vendors. The role requires a strategic, technical physical security professional with an understanding of security systems architecture, security operations, project management methodologies, and the ability to influence technical and non-technical stakeholders in a fast-growing, high-performance environment.

About the role:

Project Management for Physical Security Initiatives: Lead the end-to-end deployment of new physical security systems and innovations, including Wireless Intrusion Detection Systems (WIDS), across multiple data centers.
Cross-functional Implementation Oversight: Execute project lifecycle activities for large-scale physical security design and operational enhancements, partnering closely with Security Design and Commissioning, Networking, Security Engineering, GSOC, Security Operations and other teams as applicable.
Project Planning & Execution: Build and maintain detailed project plans, scope, budgets, milestones, and metrics to ensure proactive reporting to leadership and predictable delivery of physical security initiative projects.
Deployment Standards and Compliance: Ensure all new technology deployments align with security standards, internal privacy, legal and security reviews, and meet customer requirements.
Documentation and Standardization: Develop and maintain standardized project management documentation, templates, and RACI matrices to ensure repeatable and scalable project management practices.

Who You Are:

5+ years of progressive project or technical program management experience focused on physical security deployments within data center or critical infrastructure environments.
Strong technical understanding of physical security controls, systems architecture (Access Control Systems, Video Management Systems, Intrusion Detection Systems), and related compliance frameworks (e.g., ISO 27001, SOC 2).
Proven proficiency in applying project management methodologies to lead and execute complex, cross-functional projects end-to-end.
Expertise in developing detailed project plans, scope, budgets, milestones, and metrics, including proactive risk assessment and mitigation strategies.
Excellent ability to navigate ambiguity, prioritize competing demands, and drive alignment and predictable delivery among technical and non-technical stakeholders.
Relevant Project Management (e.g., PMP, Scrum Master) or Physical Security certifications (e.g., PSP, CPP) preferred.

Why Us?

We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $143,000 to $191,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Ready to apply?

CoreWeave

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Senior Data Center Security Site Evaluation Program Manager

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA / Richmond, VA / Dallas, TX

Apply now

Data Center - COR Dallas, TX San Francisco, CA Sunnyvale, CA Bellevue, WA Livingston, NJ New York, NY Richmond, VA Posted May 5, 2026

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do:

The Sr. Data Center Security Site Evaluation Program Manager drives new site selection physical security due diligence and initial risk evaluation. Reporting to the Senior Manager of Data Center Risk and Assurance, this position ensures that security risks and mitigations for new locations are integrated into contractual requirements, designs, controls, and operational workflows, ensuring that every site aligns with established security standards, audit requirements, and CoreWeave’s organizational expectations.

This Sr. Program Manager will execute Risk and Assurance assessment activities for our data centers and associated facilities, partnering closely with Site Selection, Legal/Contracting, Security Design and Operations to ensure risks are mitigated. The role requires a strategic, detail-oriented physical security professional with an understanding of site selection due diligence, audit control assurance and strong cross-functional influence in a fast-growing, high-performance environment.

About the role:

Site Selection Due Diligence: Conduct physical security due diligence for site selection, ensuring appropriate security requirements are included in Master Service Agreements and other lease contracts, collaborating with Site Selection and Legal teams.
Post Lease or Build Contract Execution: this role informs and collaborates with the Security Design and Security Operations teams to communicate site security requirements.
Conduct operational DC security risk assessments.
Collaboration & Influence: Build strong relationships with internal partners, fostering a culture of accountability and proactive risk management throughout the data center lifecycle.
Emerging Risk Monitoring: Stay current with evolving threat landscapes, compliance standards, and industry best practices to ensure CoreWeave’s data center security programs remain resilient and forward-looking.
Risk & Assurance program maturity: continually seek to improve, optimize and scale the Risk and Assurance program.

Who You Are:

5+ years of experience in physical security program managment, contracts management, security risk management, compliance, or assurance functions, ideally within data center or critical infrastructure environments.
Understanding of physical security controls and risk frameworks (e.g. ISO 27001, SOC 2).
Understanding of security systems and data center security operations.
Demonstrated ability to translate security concepts into actionable business insights and governance structures.
Excellent communication, influencing, and cross-functional collaboration skills.
Relevant certifications or on-the-job experience (e.g. PSP, CPP, ISO 27001 Lead Auditor) preferred.

Why Us?

We work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $143,000 to $191,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Ready to apply?

CoreWeave

View all jobs →

Senior Engineer, Cilium CNI & Cloud Networking

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA

Apply now

Technology San Francisco, CA Sunnyvale, CA Bellevue, WA Livingston, NJ New York, NY Posted May 5, 2026

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do
Network Services Team
The Network Services team builds and operates the foundational networking that powers CoreWeave’s Kubernetes platforms at cloud scale. The team is responsible for container networking, connectivity, and network services that support large-scale, GPU-driven workloads across regions and environments. They focus on scalability, reliability, security, and performance while delivering intuitive platforms for internal teams and customers.

About the Role
As a Senior Engineer focused on our Cilium-based CNI, you will design, build, and operate the container networking layer that underpins CoreWeave’s Kubernetes platforms. Day to day, you will work on evolving our CNI stack to support large, high-density GPU clusters with demanding throughput and latency requirements. You will partner closely with Kubernetes, Infrastructure, and Network Services engineers to ensure the platform is highly available, observable, and secure. This role spans architecture, implementation, and operations, with ownership from prototype through production. You will also help shape how our networking platform scales for future growth.

Who You Are

5+ years of experience as a Software Engineer or Systems Engineer working on cloud infrastructure or large-scale distributed systems.
Hands-on production experience with Cilium CNI (or equivalent advanced CNIs), including cluster configuration and lifecycle management.
Strong understanding of Cilium’s eBPF datapath, policy model, and load-balancing mechanisms.
Deep knowledge of cloud networking concepts, including VPCs, subnets, routing, security groups/ACLs, NAT, and ingress/egress architectures.
Experience designing multi-tenant network architectures with strong isolation and security.
Solid grounding in TCP/IP, dynamic routing (e.g., BGP), ECMP, MTU/fragmentation, and overlay/underlay networking (VXLAN, Geneve, encapsulation).
Experience with network observability and troubleshooting across L3–L7.
Proficiency in at least one systems language such as Golang or C/C++.
Experience working in modern CI/CD environments.
Experience operating Kubernetes at scale, including cluster lifecycle management and debugging networking issues across pods, nodes, and external services.
Demonstrated ownership of complex systems end-to-end.

Preferred

Experience operating cloud-scale network services across tens of thousands of nodes and multiple regions.
Contributions to Cilium, Kubernetes, or related open-source networking projects.
Experience with eBPF development and performance tuning.
Experience building Kubernetes operators or controllers.
Familiarity with service meshes, multi-cluster networking, or cluster mesh solutions.
Experience in GPU-heavy, HPC, or other performance-sensitive environments.

Wondering if you’re a good fit?
We believe in investing in our people and value candidates who bring diverse experiences — even if you’re not a 100% match on paper. If some of this sounds like you, we’d love to talk.

You love solving complex distributed systems and networking challenges at scale.
You’re curious about cloud-native networking, eBPF, and Kubernetes internals.
You’re an expert in building reliable, scalable infrastructure that runs in production.

Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Ready to apply?

CoreWeave

View all jobs →

Senior Software Engineer, Sandboxes & Virtualization

CoreWeave · Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA / San Francisco, CA

Apply now

Technology San Francisco, CA Sunnyvale, CA Bellevue, WA Livingston, NJ New York, NY Posted May 5, 2026

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do:

The Runtime & GPU Systems team builds and operates secure, high-performance environments for multi-tenant Kubernetes platforms at scale. Our team sits at the intersection of container runtimes, lightweight virtualization, GPU infrastructure, and Linux systems engineering. We partner closely with security, platform, and GPU infrastructure teams to deliver robust, isolated, and efficient execution environments for AI-driven workloads.

About the role:

As a GPU & Runtime Systems Engineer, you will design, build, and evolve secure sandboxed runtime environments for Kubernetes workloads, focusing on runtime isolation, performance, and security. You will integrate container runtimes, lightweight VMs, and virtualization technologies to support GPU-accelerated workloads in multi-tenant environments. Day-to-day, you’ll develop GPU-aware sandboxing and scheduling strategies, optimize containerization and I/O performance for latency-sensitive workloads, and influence architectural decisions across Linux internals, container runtimes, virtualization layers, and GPU drivers.

Some of what you’ll work on:

Design and implement secure execution environments for containerized and virtualized workloads.
Build GPU-aware scheduling, isolation, and resource management strategies for multi-tenant workloads.
Optimize container, VM, and I/O performance across GPU-accelerated workloads.
Conduct profiling, benchmarking, and performance tuning for runtime, virtualization, and GPU stacks.
Contribute to architectural decisions across Linux internals, container runtimes, virtualization layers, and GPU drivers.
Collaborate with security, platform, and infrastructure teams to define and implement runtime isolation and performance standards.

Who You Are:

3+ years of experience in systems, platform, infrastructure, or production engineering at scale.
Strong hands-on experience with Kubernetes, container orchestration, and cloud-native architectures, including controllers, operators, or scheduling extensions.
Experience designing, implementing, or operating secure execution environments (container runtimes, sandboxed workloads, or virtualized systems).
Practical experience with lightweight virtualization and sandboxing technologies (e.g., Kata Containers, gVisor, KubeVirt, QEMU).
Experience supporting GPU-accelerated workloads in multi-tenant environments, including GPU scheduling, isolation, device passthrough, mediated devices, or virtualization.
Proficient in systems-oriented programming (Go, C/C++, Rust, Bash) with strong Linux internals knowledge.
Skilled at diagnosing and resolving complex performance, reliability, or isolation issues across containers, VMs, and infrastructure.
Experienced in profiling, benchmarking, and tuning performance across runtime, virtualization, and GPU stacks.

Preferred:

Experience building systems for safely executing untrusted or sensitive workloads in shared environments.
Familiarity with GPU drivers and low-level virtualization or I/O optimization techniques.
Experience defining threat models and implementing runtime security policies in multi-tenant systems.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

You love building high-performance systems that operate reliably under extreme scale and demand.
You’re curious about the intersection of security, virtualization, Kubernetes, and GPU infrastructure.
You’re an expert in reasoning about trade-offs between isolation, performance, and operability.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best-in-Class Client Experiences
Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $139,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Ability to Participate in Employee Stock Purchase Program (ESPP)
Mental Wellness Benefits through Spring Health
Family-Forming support provided by Carrot
Paid Parental Leave
Flexible, full-service childcare support with Kinside
401(k) with a generous employer match
Flexible PTO
Catered lunch each day in our office and data center locations
A casual work environment
A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Ready to apply?