Project Engineer, Energy Storage

Position Summary:

Redwood Materials is currently searching for a Project Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line. You will own the full project lifecycle - from commercial scoping and BD handoff through engineering, procurement, construction, commissioning, and structured handoff to Operations and Maintenance - for a growing portfolio of utility-scale and behind-the-meter storage projects. 

You are the connective tissue between Business Development, Product Engineering, EPC partners, and customers. You drive schedule, manage risk, and ensure every project is delivered on time, on budget, and to spec.

The ideal candidate is highly self-driven, adaptable to a startup environment, and comfortable operating where processes are still being built. You’re a doer and a builder, excited about working in a dynamic, fast-paced setting, and want to shape how Redwood delivers energy storage projects at scale. 

Essential Duties and Responsibilities

• Drive end-to-end project execution from requirements scoping and BD handoff through engineering, procurement, construction, commissioning, and O&M handoff
• Own the integrated end-to-end schedule, budget tracker, and risk register for each assigned project; proactively identify and escalate schedule or cost risks
• Serve as the primary interface between Business Development, Product Engineering, EPC partners, and customers across all project phases
• Track RFI and submittal workflows, change order logs, permitting, interconnection coordination, and all contractual project deliverables
• Partner with Product Engineering on equipment selection, BOM alignment, and technical scope definition for each project
• Oversee commissioning readiness and test plan execution; manage structured handoff documentation to O&M
• Maintain project data in Smartsheet, SharePoint, and relevant PM tooling; provide S&OP planning inputs and deployment forecasting to leadership
• Capture lessons learned and contribute to the development of repeatable delivery templates, checklists, and execution standards

Desired Qualifications:  

• Bachelor’s degree in Engineering, Program Management, Business, or a related discipline
• 5+ years of program management experience in energy storage, renewable energy, or utility-scale power infrastructure
• Demonstrated experience managing projects from scoping through commissioning and O&M handoff, with ownership of schedule, budget, and risk
• Strong cross-functional communication skills - comfortable managing up, down, and across EPC, customer, and internal engineering teams
• A Passion for sustainability and making the world a better place! 

Physical Requirements:  

• Ability to perform the essential job functions consistent safely and successfully with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards
• Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards

Working Conditions:  

• Hybrid office environment (San Francisco, CA) with regular travel to project sites
• Ability to work in varying site conditions which may include exposure to noise, dust, and temperature extremes while visiting active BESS construction and commissioning sites
• Essential physical requirements, such as climbing, standing, stooping, or typing 
• Occasional work on weekends or after hours to meet project milestones
• Travel requirements, up to 25% - primarily to project sites across the U.S.

Functional Safety Engineer, Energy Storage

Redwood Materials is pioneering a sustainable circular economy for lithium-ion batteries by transforming recycled materials into critical inputs for energy storage and next-generation battery technologies. We are seeking a motivated and experienced Functional Safety Engineer to join our team and play a key role in ensuring compliance with functional safety standards and advancing the safe deployment of new energy storage system (ESS) technologies. 

Responsibilities will include: 

• Functional Safety & Compliance: Lead compliance activities for ESS functional safety with a focus on UL 1998 (Software in Programmable Components), UL 991 (Tests for Safety-Related Controls Employing Solid-State Devices), and UL 5500 (Remote Software Updates). Support certification efforts and align product development with functional safety requirements
• Standards Application & Development: Apply safety principles and methodologies to ESS hardware and software. Facilitate and lead the development of FMEA’s, hazard analyses, safety cases, and test strategies. Represent Redwood in standards development activities to help shape emerging requirements for ESS functional safety
• Certification Management: Work with certification bodies (NRTLs) to establish and manage compliance programs for new technologies, ensuring timely approvals to support product introduction milestones. Partner closely with engineering and product teams to integrate safety requirements into development cycles
• Team Support & Alignment: Translate complex safety standards into actionable requirements for cross-functional teams. Provide technical guidance on functional safety practices and address feedback to align product designs with compliance needs
• Risk Management: Develop, document, and execute hazard mitigation and validation strategies. Support testing and verification activities to ensure system safety performance. Coordinate with internal and external stakeholders to resolve compliance and safety issues proactively
• Stakeholder Collaboration: Collaborate with engineering, manufacturing, and product design teams to streamline compliance and safety processes for ESS. Maintain strong relationships with certification bodies and industry partners to stay ahead of evolving safety requirements

Desired Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Systems Engineering, or related field 
• Hands-on experience in embedded software development, ideally within safety-critical or regulated environments
• Preferred experience developing or working directly with microcontroller-based systems, including low-level software or firmware
• Proficiency in C for real-time embedded systems
• Strong background in UL 1998, UL 991, and UL 5500
• Familiarity with international functional safety standards such as IEC 61508, IEC/UL 60730, ISO 26262, or ISO 13849 (preferred)
• Experience working with Energy Storage Systems, power electronics, or safety-critical systems
• Demonstrated ability to apply functional safety methodologies (e.g., hazard analysis, safety cases, V&V planning)
• Experience managing compliance or certification processes with third-party testing/certification bodies
• Strong organizational skills, with high attention to detail
• Excellent communication skills, with the ability to explain complex technical requirements to diverse stakeholders
• A passion for sustainability and making the world a better place!

Software Validation Engineer, Energy Storage 

The Redwood Vision: Architecting the Future of the Grid 

We are at the precipice of a global energy transition. At Redwood Materials, we are moving beyond battery recycling to build the most advanced, circular energy ecosystem on the planet. Our goal is to shift the industry from static, hardware-heavy infrastructure toward agile, software-defined energy assets. The Software Validation team ensures that these complex systems are safe, resilient, and ready for grid-scale deployment. 

As a Software Validation Engineer, you are the bridge between pure code and physical reality. You will design and maintain the environments—Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL)—that allow us to stress-test our power electronics and site controllers. Your mission is to build the automated frameworks that catch edge cases before they hit the field, ensuring every product we ship meets the highest standards of reliability. 

Key Responsibilities 

• Validation Environment Design: Architect and scale our SIL and HIL environments (using platforms like Typhoon HIL, Opal-RT, or similar) to provide high-fidelity simulations of battery assets and grid conditions
• Test Automation Frameworks: Lead the development of automated test suites in Python. You will transition our validation processes from manual intervention to a fully automated, scalable framework
• V&V Strategy: Define and execute comprehensive Verification and Validation (V&V) plans, ensuring all software requirements for the site controller and embedded power electronics are met under normal and fault conditions
• CI/CD Integration: Integrate automated HIL/SIL testing into our CI/CD pipelines, providing real-time feedback to the development teams and serving as the final gate for production-ready code
• Hardware-in-the-Loop Interfacing: Design custom interface hardware and wiring for HIL benches, bridging physical I/O from our controllers to simulated power stages
• Root Cause Analysis: Work closely with the firmware and systems teams to debug complex failures found during validation, using logic analyzers, oscilloscopes, and telemetry logs to pinpoint issues

Qualifications 

• Background: A BS or MS in Electrical Engineering, Computer Engineering, or a related field, combined with 2+ years of professional experience in software validation or test automation for hardware-focused systems
• HIL/SIL Mastery: Proven experience with real-time simulation platforms (Typhoon HIL, Opal-RT, or dSPACE) and a deep understanding of how to model power electronics components in a virtual environment
• Automation Toolchain: Expert proficiency in Python (specifically for test automation frameworks like Pytest) and familiarity with Rust and C/C++ to navigate embedded codebases
• Hardware Literacy: Comfortable in a high-voltage lab environment. You should be proficient with standard lab equipment (oscilloscopes, power supplies, electronic loads) and digital protocols like CAN, SPI, and Ethernet
• Systematic Thinking: A dedicated mindset for "breaking" software. You have a track record of finding critical edge cases in complex state machines and control loops
• Infrastructure: Experience with Git, Jenkins/GitHub Actions, and containerization tools like Docker for managing consistent test environments

About the role

Thatch is rewiring how health benefits work. We build software that gives employees real control over how they use their benefits.

We're looking for a Full Stack Engineer to join our Product Engagement team and improve how members and employers experience Thatch, from account creation through enrollment.

You’ll work on the product surfaces and systems that drive activation and engagement. That includes building user-facing features, the backend systems that support them, and the instrumentation needed to understand what’s working.

This is a product engineering role. You’ll work across the stack, partner closely with product and design, and ship changes that directly impact how customers experience Thatch. 

What you will do

• Own and improve core product flows related to onboarding, activation, and enrollment.
• Build and ship full stack features, from backend services to user-facing interfaces.
• Instrument product surfaces to understand user behavior and identify opportunities for improvement. 
• Design, test, and iterate on changes that improve conversion.
• Work closely with product, design, and cross-functional partners to ship solutions.
• Contribute to systems that support engagement and lifecycle messaging.

What we are looking for

• Experience building and shipping production web applications across the stack.
• Strong product judgment and comfort working through ambiguity.
• Ability to reason about user behavior and use data to inform decisions.
• Experience owning features end-to-end.
• Track record of cross-functional collaboration and good technical decision-making.

We care most about the scope you’ve owned, the impact you’ve had, and how you make decisions.

Tools and tech stack

• Ruby on Rails.
• React and TailwindCSS.
• Mixpanel, Segment, Braze.

Experience that stands out

• Work on onboarding, activation, or engagement-focused product areas.
• Experience at an early-stage or high-growth company.
• Background in healthcare, finance, or similarly complex domains.

How we work

• We move quickly and are biased toward action.
• We ship early, learn from real usage, and iterate.
• We operate with trust, ownership, and high empathy.
• We value clarity over ceremony and quality over shortcuts.

What to expect

We aim to keep the process thoughtful and efficient. Most candidates complete it within about three weeks. You can expect:

• An initial conversation with a recruiter.
• A conversation with the hiring manager.
• A collaborative pair programming session, followed by a systems design interview and a separate conversation with one of our engineering managers about how we work together.
• A final conversation with engineering and company leadership.

Software Simulation Engineer

We are looking for a Software Simulation Engineer to design and build the core architecture of our simulation platform. You will be responsible for the infrastructure that validates our intelligent systems before real-world deployment. Your focus will be on creating a scalable, high-performance virtual environment that seamlessly integrates flight software, autonomy stacks, and external models.

Role

• Simulation Architecture: Design, build, and maintain the core infrastructure, data pipelines, and timing mechanisms for our system-level and Software-in-the-Loop (SIL) simulation environments.
• Framework Development: Build robust APIs and interfaces that allow cross-functional teams to easily plug their specific sensor, actuator, and physics models into the broader simulation.
• Software Integration: Integrate flight software, autonomy stacks, and control algorithms directly into the simulator.
• Testing Infrastructure: Develop the backend tooling and automated test frameworks needed to run large-scale simulations, verify system behavior, and catch edge cases.
• Cross-Functional Sync: Act as the simulation platform owner, partnering with hardware and controls teams to ensure the architecture supports their testing requirements and scales effectively.

Requirements 

• BS or MS in Computer Science, Software Engineering, Systems Engineering, or a related field.
• 3+ years of experience in software simulation, systems architecture, or complex software development.
• Expert in Python with strong working knowledge of C++.
• Hands-on experience architecting, extending, or maintaining custom software simulators, test harnesses, or large-scale software frameworks.
• Solid understanding of system-level networking and data routing (e.g., Ethernet, UDP/TCP, CAN).

Bonus

• Background in aerospace, automotive, or robotics.
• Familiarity with Embedded Linux, RTOS, or supporting downstream Hardware-in-the-Loop (HIL) setups.
• Experience with CI/CD pipelines and scaling simulations in cloud environments.

Your Role

Ascend is hiring a Solutions Engineer (Contract) to take full ownership of critical AI agentic workflows. You’ll shape how automation powers the insurance industry—improving accuracy, scalability, and customer experience at every step.

You’ll dive deep into complex data problems, fine-tune prompts, and refine systems that power the automation layer behind Ascend’s financial infrastructure. This role is a mix of hands-on problem-solving, experimentation, and collaboration with Product, Operations, and Engineering teams to make our automation more reliable and intelligent.

This is a contract role based on-site at our San Francisco office, 40 hours per week for six months.

Responsibilities

Own and optimize prompt logic

• Build, test, and refine prompts that power AI agents using prompt engineering and analytical problem-solving.
• Design systems that enable scalable, high-accuracy iteration on prompt workflows.

Technical implementation & tooling

• Partner with internal teams to improve testing, monitoring, and refinement processes.
• Support new customer and organization onboarding through internal tooling improvements.
• Provide feedback and insights to shape the broader product roadmap.

Customer & stakeholder collaboration

• Work closely with internal and external users to gather context, troubleshoot challenges, and deliver consistent, high-quality results.

Quality assurance & reporting

• Track and analyze AI workflow accuracy metrics, uncovering trends and root causes.
• Recommend process improvements to reduce manual work over time.
• Build reusable playbooks and prompt strategies to support future automation efforts.

Why This Role Matters

This is a chance to own a critical piece of Ascend’s AI-powered automation systems and see your work directly impact product performance, customer satisfaction, and company growth.

You’ll thrive here if you love solving tough technical problems, moving quickly, and building systems that scale intelligently. This role is perfect for someone who operates at the intersection of data, engineering, and product thinking—and takes pride in turning complexity into clarity.

What We’re Looking For

• Exceptional analytical and critical thinking skills, with a track record of breaking down complex problems into actionable solutions.
• Experience with prompt engineering, AI agents, or AI-powered automation workflows.
• Proven ability to work with complex, real-world systems to identify patterns and improve reliability.
• Strong communication skills, with the ability to translate technical concepts for both technical and non-technical audiences.
• Bonus: Familiarity with large language models (LLMs) and their applications in automation or data systems.

Contract Details

• Location: On-site in San Francisco (SoMa)
• Schedule: Full-time, 40 hours per week
• Type: Contract to hire as a full time software engineer (6 months)

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Stripe Terminal helps our users extend their online presence to the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments – building for Unified Commerce. With Terminal, businesses can unify their in-person and online experiences, unlocking payments use cases that are right for their business model – whether it’s creating a modern retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event.

Within Terminal, the Developer Productivity team empowers mobile, full-stack and embedded/firmware engineers to ship high-quality products quickly and safely. We build tools, processes and infrastructure that accelerate engineers across multiple teams. Our work is critical to supporting Stripe’s in-person payment products and, ultimately, to helping increase the GDP of the internet.

We own a diverse tech stack, including build and developer productivity tooling for mobile engineers; release tooling that enables Terminal releases across SDKs, Android apps and firmware; and test automation infrastructure that helps product engineers ensure the quality and reliability of what they ship. As an engineer on this team, you’ll shape and deliver major pieces of this tooling and infrastructure and help raise the bar for developer experience across Terminal.

What you’ll do

Responsibilities

• Design, build and maintain tools, libraries and infrastructure that improve the productivity of Terminal engineers across mobile, backend and embedded systems.
• Collaborate closely with mobile engineers to understand their workflows and pain points and translate them into practical short-term and long-term solutions.
• Contribute to and improve our build, CI/CD and test automation systems for Terminal SDKs, Android apps and firmware.
• Work with stakeholders across Terminal to prioritize work, balance competing needs and ensure your solutions integrate cleanly into existing workflows.
• Own projects end-to-end, from problem discovery and design through implementation, rollout and ongoing operation.
• Participate in code reviews, design discussions and documentation to maintain a high bar for code quality, reliability and developer experience.
• Mentor other engineers in areas such as build, test and release best practices, helping to spread strong developer productivity practices across the team.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• BS or MS in Computer Science or a related field, or equivalent practical experience.
• 6+ years of software engineering experience, including meaningful experience with backend systems and at least one of: Android/mobile or embedded/firmware development.
• Experience designing, implementing and maintaining production systems or developer tooling.
• Understanding of how to build scalable, reliable and observable services, pipelines, or tooling.
• Experience owning projects from design through implementation, rollout and ongoing support.
• Ability to thrive in a collaborative environment involving multiple stakeholders and subject matter experts.
• Strong communication skills and the ability to explain technical concepts clearly to different audiences.
• Based in the PST time zone

Preferred qualifications

• Proficiency in one or more of: Kotlin, Java, or Go.
• Experience building tools or platforms to improve developer productivity, with clear empathy for internal developer users.
• Experience with CI/CD tooling and pipelines (e.g. Jenkins, GitLab CI, GitHub Actions) and modern build systems.
• Experience designing and maintaining automated testing infrastructure (e.g. integration/end-to-end tests, test orchestration, or reducing test flakiness).
• Experience with Android build and test tooling (e.g. Gradle, emulators, device farms) or firmware build pipelines.
• Experience in payments, point-of-sale, or hardware-integrated systems is a plus.

The Team

Our engineering team builds systems that interact with some of the most complex software  ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. 

We are looking for a client-obsessed AI Solutions Engineer with entrepreneurial tendencies to join the good fight and help build out our Solutions Engineering org. You’ll be the trusted technical advisors for our customers, driving business value, offering advice, and growing accounts. You’ll accomplish this by leading customers to solutions oftentimes by teaching the product to new users or consulting on best practices. You must be ready for technical discussions with data scientists and engineers, then demonstrate the value of Arize in business discussions with directors and executives. The goal is to enable our customers to become successful and enthusiastic about Arize. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone.

What You’ll Do

• Work closely with some of the most sophisticated ML / GenAI teams in the world.
  • You will act as a trusted advisor to our customers, while also building relationships with technical and business stakeholders.
• Advise on GenAI and ML best practices 
• Give ML and LLM product demos to technical and business stakeholders
• Run strategic business reviews for customers in partnership with our sales team
• Interface with our pre-sales engineering team to gather client goals and KPI’s.
• Partner with our product and engineering teams to help drive the product roadmap
• Spearhead new opportunities within existing accounts to help drive expansions.

What We’re Looking For

Note: Even if you do not check every single box, we still encourage you to apply! 

• Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production.
• Comfortable working in public Cloud environments (AWS, Azure, GCP)
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
• Knowledge of LLM / Agentic frameworks such as Llamaindex, LangGraph, and DSPy
• Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
• Understanding of GenAI concepts and application evaluation + development lifecycle  
• Proficiency in a programming language (Python, JS/TS, Java, Go, etc)
• Strong Communication Skills - Ability to simplify complex, technical concepts.
• A quick and self learner - undaunted by technical complexity of production ML deployments and welcome the challenge to learn about them and develop your own POV.

Bonus Points, But Not Required

• Previous engineering experience in:
  • Data Science
  • MLOps
  • ML Frameworks
  • LLM / Agentic frameworks
• Customer facing experience strongly preferred such as Solutions Architect, Implementation Specialist, Sales Engineer, Customer Success Engineer, Consultant, or Professional Service roles
• Prior experience working with applications deployed with Kubernetes
• Prior experience demoing technical products to both business and technical audiences

The estimated annual salary and variable compensation for this role is between $125,000 - $175,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.

MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.

We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion.

As the AI GTM Engineer, Growth Marketing, you’ll build and scale the technical foundation behind MaintainX’s acquisition engine. Reporting to the VP, Growth Marketing & Strategy, this is a hands-on, embedded role within the Growth Marketing team, where you will partner directly with marketers to design, build, and launch campaigns powered by automation and AI. You won’t operate as a separate engineering function, you’ll work side-by-side with Customer Marketing, Performance Marketing, SEO & GEO, Lifecycle, and Field Marketing teams to turn campaign ideas into scalable systems and live experiments. This role is critical to building an AI-native, system-driven marketing engine at MaintainX, enabling us to scale acquisition through automation, personalization, and experimentation.

What you'll do:

• Partner with Marketing to Build & Launch Campaigns
• Work directly with Growth marketers to ideate, design, and launch acquisition campaigns
• Translate campaign ideas into scalable systems, automations, and experiments
• Rapidly prototype and iterate on new growth plays (landing pages, outbound, paid, lifecycle)
• Build Systems That Power Campaign Execution
• Develop tooling for programmatic landing pages, ad creative generation, and email workflows
• Enable marketers to launch campaigns faster through reusable systems and automation
• Balance speed (quick tests) with scalability (systems that can be reused)
• Embed AI into Marketing Workflows
• Partner with marketers to identify high-leverage use cases for AI in campaigns
• Build and deploy AI-driven systems for:
• Creative generation and testing
• Personalization across channels
• Outbound messaging and sequencing
• Turn one-off experiments into repeatable campaign infrastructure
• Own Experimentation with Marketing
• Co-design and implement experiments across paid, SEO, lifecycle, and web
• Build tooling to track performance, attribution, and testing outcomes
• Enable faster, data-driven iteration across campaigns

Audience, Segmentation & Personalization

• Partner with marketers to define target audiences and ICP segments
• Build systems to dynamically segment, enrich, and activate audiences across channels
• Enable real-time personalization across the funnel

• Marketing Data & Performance
• Ensure clean data flows from marketing channels into CRM and analytics systems
• Build dashboards and reporting layers for campaign performance and funnel metrics
• Improve visibility into CAC, conversion rates, and pipeline generation 

What you’ll bring:

Technical Skills

• Strong programming ability (Python, JavaScript, or similar)
• Experience working with APIs, automation frameworks, and event-driven systems
• Strong SQL skills and experience with data warehouses (Snowflake, BigQuery, etc.)
• Experience integrating tools like Salesforce, HubSpot, Segment, Webflow, etc.
• Experience deploying AI/LLM workflows into production
• Marketing Systems Experience
• Experience working closely with marketing teams to build and launch campaigns
• Strong understanding of paid media, SEO, lifecycle marketing, and web conversion flows
• Experience building systems that directly support campaign execution and optimization
• Mindset
• Thinks like a marketer, builds like an engineer
• Optimizes for speed, iteration, and measurable impact
• Focused on pipeline and revenue outcomes, not just outputs
• Defaults to automation and scalable systems over manual work

About you:

• 5+ years in growth engineering, marketing engineering, or technical growth roles, with experience building systems that support marketing and acquisition.
• Strong ability to partner with marketers to design and launch campaigns, and translate those into scalable systems and automation.
• Proficiency in SQL and at least one programming language (e.g., Python, JavaScript), with experience building scripts, workflows, or internal tools.
• Experience working with APIs, data pipelines, and integrating marketing tools (e.g., Salesforce, HubSpot, Segment).
• Experience applying AI/LLMs to automate or scale marketing workflows (e.g., content generation, personalization, outbound).
• Solid understanding of paid media, SEO, lifecycle marketing, and experimentation frameworks.
• Strong analytical skills with experience in testing, attribution, and performance measurement.
• Entrepreneurial mindset: thrives in fast-paced, test-and-learn environments with a bias toward speed and execution.
  
  

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrolment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About the Role

The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.

This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.

What You'll Do

• Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
• Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
• Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
• Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
• Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability 
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have a strong interest in LLM serving; prior inference or ML experience is not required 
• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description

Strong Candidates May Also Have Experience With:

• LLM inference optimization, batching, and caching strategies
• Capacity-constrained scheduling or shared-resource test infrastructure
• Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
• Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
• Proficiency in Python or Rust

The Customer Problem

When you open Spotify, the homepage is different for every user. When you browse Nike's site, products are ranked by what Nike thinks you'll buy. When you log into Chase, offers are tailored to your spending. This is web and mobile personalization: deciding in real time what each customer sees inside your product. It directly moves conversion, retention, and revenue at the point where customers are already engaged.

Almost nobody does it well outside of companies that build it from scratch. A single experiment (testing whether high-spend users convert better seeing a loyalty upsell on the account page) requires an analyst to build the segment, a PM to write targeting rules, a designer to create variants, an engineer to instrument the test, and someone to monitor results. Most teams run 5–10 per quarter and end up with a handful of static rules covering a fraction of their users.

The tools that exist (Optimizely, Adobe Target) handle infrastructure but don't solve the coordination problem. Every experiment, audience, and piece of content still requires manual configuration. They also force companies to duplicate customer data into a proprietary store, adding months of implementation and permanent vendor lock-in.

Why Agents are the Solution

The shift from "AI assists a step" to "AI owns a workflow" is already happening in software engineering. Personalization is ready for the same shift.

Today: A growth team testing whether high-intent visitors convert better with a comparison page spends 2–4 weeks coordinating across tools and people. They run maybe 8 experiments that quarter.

With agents: The growth lead describes the goal. An agent identifies the audience from existing customer data, generates variants informed by past performance, configures the experiment with holdout groups, launches it, monitors significance, and reallocates traffic. The human reviews before launch. Calendar time: hours. The same team runs 50+ experiments per quarter because the coordination cost drops to nearly zero.

Agents handle the full chain as one workflow: audience, content, experiment, optimization. Instead of a bunch of manual steps, agents rethink this as a continuously improving closed loop.

Why Hightouch, Why Now

More than 1,000 enterprises—like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, use Hightouch to run their marketing. Earlier this year we launched the Agentic Marketing Platform with two pillars:

• Agentic Advertising Studio. Agents analyze performance, competitor creative, and brand guidelines, then assemble ad concepts across Meta, Google, TikTok, and LinkedIn.
• Agentic Lifecycle Studio. Agents identify lifecycle opportunities, draft audiences, assemble on-brand email and SMS campaigns, and orchestrate them through Braze, Iterable, Salesforce, and Adobe.

Advertising covers paid media. Lifecycle covers email, SMS, and push. Agentic Personalization is the third pillar: what customers experience inside the website and mobile app. Different buyer (product and growth teams), different workflow (real-time experimentation), different technical surface (browser SDKs and edge delivery). Same agent infrastructure and data foundation.

What no competitor can replicate:

• Agent orchestration. 25+ specialized skills for audience building, content generation, campaign analysis, and multi-step workflow coordination.
• Content assembly. Agents search existing asset libraries for reusable on-brand content before generating anything new, which is what makes output trustworthy enough for enterprises to ship.
• Marketing and brand context. Persistent layer connecting customer data, brand guidelines, creative assets, and performance history so agents operate grounded in how the business works.
• Real-time data infrastructure. Low-latency personalization API, sub-second audience evaluation, ML-powered optimization and recommendations, event pipeline processing millions of events daily.

The Role

Founding Product Manager for Agentic Personalization: Hightouch's third major pillar and biggest new investment. You define the product, the sequencing, and the go-to-market.

• Customer discovery. Deep engagement with product and growth teams at enterprise companies to understand how they personalize web and mobile today, and what would earn their trust in an agent-driven approach. Translate into a roadmap tied to revenue milestones.
• Define the agent experience. What agents do autonomously (segments, variants, experiments, traffic allocation) vs. what needs human approval (production launches, brand-sensitive content). Design the feedback loop that builds trust over time.
• Scale the GTM. Co-own pipeline, join customer calls, shape competitive positioning, partner with CS on implementation playbooks.

High-visibility role working directly with founders and executive team.

What We're Looking For

• Zero-to-one track record. Products you built from nothing to meaningful revenue, ideally at a B2B SaaS company. Domain matters less than evidence you can find product-market fit under uncertainty.
• Technical depth. Can evaluate architectural tradeoffs, debate infrastructure decisions with senior engineers, and reason about things like batch vs. real-time and caching strategies at the level of product decisions.
• Commercial instinct. Think in terms of pipeline, conversion, and expansion. Build roadmaps that map to revenue targets.
• Speed. Small team, high autonomy, tight cycles. We use AI heavily in our own workflows.
• Cross-functional trust. This spans engineering, design, sales, CS, and leadership. You drive clarity from ambiguity.

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $240,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About Hightouch

Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.

Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.

Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

About the Role

We are looking for a Staff AI Productivity Engineer to accelerate how our engineering organization works with AI coding tools. This is a hands-on technical role focused on building infrastructure, tooling, and documentation that makes AI agents dramatically more effective across our codebase.

AI tools are evolving rapidly, and we believe the companies that invest in making agents truly productive - not just available - will have a significant advantage. You'll own this problem end-to-end: from setting up cloud development environments where agents can run autonomously, to building MCP integrations that give agents access to our internal systems, to creating the documentation and context that helps agents understand how we build software.

You’ll have the hands-on acumen to do a lot of the heavy lifting yourself and the leadership skills to drive cross-team efforts to raise the bar everywhere. This role is a companion role to our Developer Productivity role but has a distinct focus: while Dev Productivity owns the build/test/deploy pipeline, you'll own the AI-assisted development experience. An exceptional candidate could wear both hats.

Some of the problems we’ll be working on include:

• Own the agentic development environment: Ensure agents can operate in independent cloud-based development environments, execute our full test suites, examine build results visually, etc
• Build our tooling integrations: Build MCP server integrations that connect our agents to the systems needed to build and debug software, such as CircleCI, Slack, Datadog, Github, etc
• Documentation and context: Own our repo-wide agents.md file and work with teams to ensure our library of agent guidance and skills is continually pushing the bar. Ensure our conventions and package structures are exposed in ways that agents can effectively use
• Enablement: Work with our engineers to understand where agents are struggling and address root causes such as better docs, tooling access, etc. Develop tooling for non-engineers to make simple visual updates to our application
• Serve as a “PM” for internal AI agents: Consistently keep us on the leading edge of AI productivity trends by staying abreast of what is state-of-the-art in industry and driving those improvements across Hightouch

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

Must have

• Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly
• Deep hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or similar)
• Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output
• Track record of building developer tools or infrastructure that other engineers actually use
• Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code

Nice to have

• Experience building or contributing to MCP servers or similar agent-tooling integrations
• Background in developer productivity, platform engineering, or developer experience roles
• Experience with our stack: TypeScript/JavaScript monorepos, Go, GraphQL
• You've set up sandboxed or containerized development environments at scale

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
• System Design Screen [45m]: Designing a data processing feature end-to-end
• AI Skills Interview [60m]: We’ll dive into how you leverage AI and how you’ve helped others do the same
• Hiring Manager Interview [45m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical

About the Role

We are looking for a developer productivity engineer to take responsibility for our monorepo and the “path to production” for over 50 engineers pushing over 75 commits a day with continuous deployment to production. This presents an exciting challenge where you can apply your expertise in helping teams ship fast and safe to meaningfully improve the productivity of our engineering team. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. Our monorepo is primarily Javascript/Typescript with some Go and Python. While the primary responsibility of this job is developer productivity, to fit in with the team and be productive in our codebase generally, strong computer science and development fundamentals will be required. As part of your onboarding, you’ll spend significant time writing and delivering features to gain empathy for the current dev flow.

We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.

Some of the problems we’ll be working on include:

• Own the build: You’ll be the single threaded owner for the build/test/deploy of our software and how each team fits into it
• Monorepo productivity: Detangle our build/test/deploy patterns so teams can move fast and not block each other. Investigate/implement a tool like turbo repo to speed builds and separate concerns
• Drive excellence in testing: We need to improve our top-down and team-level views into test coverage + support an ever growing matrix of data sources, data destinations, and enrichment patterns. An excellent engineer in this role will be able to “hold up a mirror” to our dev teams, helping each team understand where they have gaps
• Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base
• Operational excellence: Support an increase in our ability to catch issues before they reach production and respond quickly if they do

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

You’ve driven significant improvement in the productivity of a 50+ person development team by making high-leverage changes to their build/test/deploy processes. While you likely have some infra chops, this is not an infra role: you have strong development fundamentals and are comfortable driving framework-level improvements across multiple teams. This could take several forms:

• You’ve been a member of a developer-productivity team/function for an outstanding development team
• You’ve organically become “the build person” at a fast-growing startup and helped bring order to chaos
• You’ve personally delivered code that has improved cross-team metrics related to developer productivity (e.g., DORA metrics, coverage, etc)

In addition to any of the above, we’re looking for someone who can dive into feature code, including complicated backend code, as needed.

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
• Recruiter Screen: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
• System Design Screen: Designing a data processing feature end-to-end.
• Developer Productivity Skills Interview: We’ll dive into your experience making teams productive through a discussion of past projects and tooling you've used.
• Hiring Manager Interview: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
• System Design Interview: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

⛵️ About Wholesail

Wholesail is an early stage startup that builds software to connect wholesalers and their buyers by automating and digitizing invoicing and payment in the $5 trillion wholesale trade industry. The company’s first product is an electronic invoicing and payment portal for wholesale sellers, which allows them to get paid faster and decrease losses. For buyers, Wholesail automates the accounts payable & expense management process to save them time and money. Wholesail’s initial industry focus is to build a network effect driven payment business in the highly fragmented $1 trillion US food distribution market, in which invoicing and payment is nearly entirely paper-driven today. 

Wholesail was founded by a team of engineers, product managers, and designers whose prior startups were acquired by OpenTable, and the company is well funded with backing from a half dozen VCs and 20+ angel investors including early executives and team members from Stripe, Square, Dropbox, Yelp, OpenTable and Everlane.

Are you fascinated by how people use products, actively seek to understand the “why” behind product decisions, and approach product building as a craft? Are you passionate about working with other experienced engineers who have a passion for their craft? We'd love to have you join our voyage as a founding member of our product engineering team.  

🛠 About the Role

As an early engineer, you’ll build new features and internal APIs to create value for the suppliers and buyers on our network. Your work will skew towards backend development, but you'll end up working up and down the stack and you’ll spend a lot of time with our sales and support team and our customers to figure out the details of the products you craft. Our small product team wears many hats, so you'll get significant exposure to many areas adjacent to engineering: design, marketing, customer success, sales, and all of the functions of an early stage startup.

As a product oriented member of our engineering team, you’ll couple strong technical execution with an active voice in shaping the product through contribution in product conversations and identifying product/technical tradeoffs. You’ll participate in different styles of execution based on the stage of product development – from iterating quickly on an experiment with intentionally scrappy code to building sustainable systems that serve as a foundation for years to come.

Most significantly, you'll be building the company with us. We are early on our voyage and there are vast uncharted seas ahead. We want to work with fellow Wholesailers who care deeply about the process of building an enduring company: from what values we embrace, how we build our teams, decisions about how we grow our business, and everything in between.

🚀  You’d be great a great fit for our voyage if you… 

• Are naturally curious about and have a keen interest in understanding the "why?" by digging into the nuts-and-bolts of how things work as a first principles thinker.
• Think deeply about products – from building empathy for users, to understanding how a product works, how it fits into a complex system, and how it creates business value.
• Obsess about the details of your craft whether it’s designing a new abstraction layer, building an API for a colleague on the frontend team or shipping a pixel perfect feature.
• Quickly build intuition in new domains and are able to articulate product/engineering tradeoffs early on while also pragmatically handling (and minimizing work on) edge cases.
• Estimate and prioritize when faced with different proposed solutions, to help guide the team towards building the most impactful products.
• Strive to quickly deliver value through rapid product validation cycles and have a keen ability to identify quick wins that create value for customers.
• Use data to guide your understanding of user behavior and inform the decisions you make to maximize building value for customers.
• Strive for end-to-end ownership of your work, are proactive with sharing product ideas/opinions, and seek early feedback from other members of your team.
• Build empathy and relationships with strong listening, written, and verbal communication skills – particularly with non-engineering folks such as designers, PMs, support and sales.

🤝 Engineering Culture & Environment

At Wholesail, we started as a team of senior engineers who are passionate about using technology to build products and tools to improve the lives of buyers and sellers in the wholesale industry. Many of us have a background working on technologies used in the relevant food and payments industries, and together with our cross-functional partners, we strive to learn about the problems that our customers in the wholesale industry are facing, so we can work hard to provide solutions for our buyers and sellers.  

Wholesail provides products that help our customers make payments and process orders, which are essential to our customers' business, and therefore we have a strong focus on security, reliability and system performance. We emphasize good engineering practices, and adopt test-driven development and continuous deployment to iterate quickly and confidently. We identify and eliminate or mitigate the impact of single points of failure in our systems. We also genuinely take pride in the craftsmanship of the code we produce, and we love to work with colleagues whose work we respect. Intermixed with all of this is a sense of good humor, and an earnest enjoyment in working together.

Wholesail’s tech stack starts with Java services running in Kubernetes (GKE on Google Cloud Platform), with PostgreSQL as the database. The frontend is a React-Native single page application that is served statically.  The Wholesail platform integrates with third party services and APIs, including Plaid, Stripe, Modern Treasury and QuickBooks, among other systems. Given the financial and accounting nature of the product, the company has invested in extensive testing infrastructure. In addition to more traditional automated testing, we built orchestration that provisions independent copies of the entire service architecture with candidate releases to test the system, end-to-end, before rolling out new changes.

• Help design, train, with a focus towards deploying onboard machine learning models that improve the performance/latency of the Kodiak autonomy stack which includes quantization, pruning, converting to ONNX/TensorRT, custom GPU kernels and profiling.
• Help identify and achieve parity between onboard and deployed offboard models using validation on HIL 
• Collaborate with cross-functional teams including perception, planning, simulation, and autonomy infrastructure to integrate ML models into production systems.
• Analyze real-world driving logs to identify edge cases and improve model robustness and safety.
• Use profiling tooling to additionally help improve the train time for models by identifying and removing bottlenecks.
• Contribute to the development of scalable AI infrastructure that supports continuous learning and deployment across Kodiak’s fleet.

• MS or PhD in Computer Science, Robotics, Machine Learning, or a related technical field, or equivalent practical experience.
• 6+ years experience deploying machine learning or deep learning systems in production environments.
• Proficiency in Python, C++ and modern ML frameworks such as PyTorch or TensorFlow.
• Experience working with large-scale distributed training systems.
• Solid understanding of optimization, and machine learning fundamentals.
• Strong software engineering fundamentals including testing, debugging, and system design.
• Ability to work collaboratively across teams to solve complex autonomy and robotics challenges.

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.)

About World Labs:

We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. 

We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds.

We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users.

Role Overview

We are looking for a Platform Engineer to own Developer Infrastructure at World Labs.

This is a high impact systems role focused on build systems, testing infrastructure, and release and rollout pipelines, the critical path that determines how code moves from local development to production.

You will define and operate the systems that make our engineering organization fast, reliable, and scalable, in an environment where both the codebase and workloads are evolving quickly.

You will be responsible for the architecture and operation of the systems that power developer velocity and production safety, making foundational decisions around build performance, dependency structure, test execution, and release reliability.

This role is about turning complex, failure prone workflows into systems that are fast, correct, and reproducible, and setting the technical direction for how we build and ship software.

This is a hands on role. You will design, build, and operate these systems directly.

What You Will Do:

• Own the design and evolution of the build, test, and release systems that power the platform.
• Define architecture for a Bazel based monorepo, including performance, caching, and dependency graph scalability.
• Improve build performance and correctness, including incremental builds, caching strategies, and graph optimization.
• Design and operate test infrastructure, focusing on reliability, isolation, and signal quality.
• Build and improve release and rollout systems, including deployment pipelines, canarying, and rollback.
• Improve end to end developer velocity, from local iteration to production deployment.
• Debug and resolve complex issues across the pipeline, including build failures, dependency issues, test flakiness, and release regressions.
• Establish standards for reproducibility, observability, and operability across build and release systems.
• Identify and eliminate systemic failure modes across the development lifecycle.
• Contribute broadly across infrastructure and reliability work when needed.
• Mentor engineers and raise the bar for system design and technical decision making.

Key Qualifications:

• 5-10 years of experience building and operating production systems at scale, with ownership of critical infrastructure.
• Strong experience with build systems and dependency graphs such as Bazel, Buck, Pants, or similar, or the ability to quickly ramp on Bazel in a large monorepo environment.
• Experience designing and improving build, test, and release pipelines, with a focus on performance, correctness, and reproducibility.
• Strong systems understanding of how code moves from source to build to test to production.
• Hands on experience debugging complex system issues, including build failures, dependency issues, test flakiness, and release regressions.
• Experience owning systems with strict reliability and performance requirements.
• Strong proficiency in at least one of Python, Go, or Rust, with a strong preference for Python
• Comfort working across languages in a polyglot codebase.
• Proven ability to define architecture and drive technical decisions end to end.
• Strong judgment in balancing developer velocity, system complexity, and reliability.
• Ability to operate effectively in ambiguous, fast moving environments with high ownership.
• You have worked on systems where build performance, correctness, and reproducibility were first order concerns, not afterthoughts.
  
  

Preferred Qualifications:

• Deep experience with Bazel at scale, including remote caching, remote execution, and build graph optimization.
• Experience designing hermetic and reproducible build systems.
• Experience improving test infrastructure at scale, including eliminating flakiness and improving signal quality.
• Experience building or operating release and rollout systems, including canarying, staged rollouts, and rollback mechanisms.
• Experience instrumenting systems for observability and debugging of build, test, and release pipelines.
• Experience in early stage or high growth environments.

Who You Are:

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

We're hiring the brightest minds from around the globe to bring diverse perspectives to our cutting-edge work. If you're ready to work on technology that will reshape how machines perceive and interact with the world, World Labs is your launchpad.

Join us, and let's make history together.

Equal Opportunity & Pay Transparency

Equal Employment Opportunity

World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.

California Pay Transparency

In accordance with California law, we disclose the following:

Anaplan is at the forefront of the AI revolution in enterprise software. We're also building a cutting-edge AI capability to supercharge our Sales, Marketing, and Customer Success teams. This isn't about incremental improvements—we're fundamentally transforming how GTM teams work.

We're looking for a hungry, curious problem-solver who wants to be part of this transformation from day one and who can help operationalize the initiative. You'll work directly with senior leaders, ship real AI solutions, and help shape how one of the fastest-growing SaaS companies leverages AI at scale.

This is a rare opportunity for someone early in their career to gain hands-on AI experience, build cross-functional influence, and accelerate their professional growth.

Your Impact  

In your first 90 days, you'll ship AI workflows that help our teams work faster and smarter. By your first year, you'll have: 

• Automated 100+ hours of manual work across Sales, Marketing, and Success teams 

• Built and deployed 5+ AI agents that directly support revenue-generating activities 

• Enabled 500+ GTM professionals to leverage AI in their daily workflows 

• Influenced strategic decisions through data-driven insights and performance metrics 

You'll be the go-to expert for AI within GTM Operations, working directly with VPs and Directors to identify opportunities, design solutions, and drive adoption. This role offers high visibility and fast-paced growth for the right person. 

What You’ll Do  

Intake & Prioritization  

• Own the intake funnel for AI and automation use cases across GTM functions   

• Triage and prioritize requests based on business value, scalability, and feasibility   

• Collaborate with stakeholders to clearly define workflows, inputs, and expected outcomes   

AI Workflow & Agent Management   

• Create and maintain a centralized repository of AI use cases, tools, and integration patterns 

• Build lightweight AI-driven solutions using best-in-class tools and platforms 

• Ensure all workflows are documented, version-controlled, and accessible across teams 

Quality Assurance & Continuous Improvement  

• Test and validate outputs to ensure accuracy, consistency, and usability   

• Define and maintain quality standards for AI-generated outputs   

• Continuously refine workflows based on feedback and performance data   

Documentation & Enablement  

• Create clear documentation, playbooks, and templates to support adoption   

• Create video tutorials and how-to guides for non-technical users and host office hours to support adoption and answer questions 

• Support training and ongoing enablement to include building AI fluency and community 

Measurement & Reporting  

• Track adoption and usage across GTM teams   

• Measure impact through defined metrics (adoption, efficiency gains, pipeline contribution, revenue impact, workflow performance)   

• Provide regular insights and recommendations to improve effectiveness 

• Support quarterly business reviews with GTM leadership   

Workflow Coordination  

• Support the integration of AI workflows into existing GTM processes and systems to include leading SaaS platforms and Gemini Enterprise 

• Partner with IT and GTM teams to ensure secure, compliant, and scalable AI implementations 

• Ensure alignment with broader operational frameworks and tools   

Your Qualifications  

Core Requirements 

• Bachelor’s degree in Business, Economics, Operations, Information Systems, or related field   

• 0–2 years of experience (internships or entry-level roles in operations, consulting, analytics, or similar)   

• Quick learner with a curiosity for understanding complex systems, business, and technical requirements 

• Strong analytical and problem-solving skills with the ability to structure ambiguous requests   

• Demonstrated curiosity in AI, automation, and emerging technologies   

• Excellent written and verbal communication skills — you can explain technical concepts to non-technical audiences 

• Highly organized with exceptional attention to detail, commitment to quality, and disciplined execution  

Preferred  

• Hands-on experience with AI tools and platforms like Gemini, Claude, or ChatGPT 

• Exposure to CRM systems (e.g., Salesforce) and GTM processes   

• Experience building or automating workflows (academic, personal, or professional)  

• Prior experience in a startup or high-growth tech environment 

Mindset We're Looking For 

• Bias toward action — you'd rather test and iterate than overthink 

• Comfortable with ambiguity — you thrive when building from scratch 

• Intellectually curious — you love learning new technologies and approaches 

• Collaborative — you seek input and share credit generously 

• Data-driven — you let metrics guide decisions, not opinions 

• User-focused — you obsess over making things work for end users 

itD is seeking a Software Quality Assurance Engineer to drive the verification and validation of smart camera products, ensuring high-quality releases through comprehensive manual and automated testing. This role plays a critical part in delivering reliable, user-focused solutions by identifying edge cases, improving product usability, and embedding quality throughout the development lifecycle. The ideal candidate will bring deep experience in software testing, automation, and system validation, along with a proven track record of uncovering defects and enhancing product performance.

Location: Hybrid – San Francisco, CA (candidates must be able to visit the office multiple times per week if requested)
Pay Range: $26 - $27 hourly
Duration: 2 months

We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

Responsibilities:
• Analyze and validate product requirements and technical solutions to ensure test coverage and quality outcomes.
• Design and execute detailed manual test plans to identify edge cases, usability issues, and integration gaps.
• Identify, log, reproduce, and verify defects, partnering closely with engineering teams for root cause analysis.
• Develop and maintain automated test scripts using scripting languages such as Python or Ruby.
• Document test cases, procedures, and results to support traceability and knowledge sharing.
• Collaborate cross-functionally to support release validation and ensure product readiness.
• Advocate for the end-user experience by proactively identifying risks and quality improvements.

Internal Responsibilities:
• Attend regular internal practice community meetings.
• Collaborate with your itD practice team on industry thought leadership.
• Complete client case studies and learning material (blogs, media material).
• Build out material to contribute to the Digital Transformation practice.
• Attend internal itD networking events (in person and virtual).
• Work with leadership on career fast-track opportunities.

Required Qualifications and Skills:
• 5+ years of experience in software testing and test automation.
• Strong experience with manual and exploratory testing, including identifying edge cases and integration issues.
• Proficiency in at least one scripting language (e.g., Python, JavaScript, or Ruby).
• Experience developing, maintaining, and executing automated test frameworks.
• Solid understanding of software development lifecycle (SDLC), testing methodologies, and defect lifecycle.
• Working knowledge of Linux environments, including basic networking and CLI tools.
• Ability to work independently, communicate effectively, and meet project timelines.

Preferred Qualifications and Skills:
• Experience testing hardware-integrated or IoT-based products.
• Familiarity with cloud-based systems and distributed applications.
• Exposure to AI-assisted testing tools or modern test automation practices.
• Experience working in agile or cross-functional product teams.

Education:
• Bachelor’s degree in a relevant field or equivalent work experience required.

Scale AI is hiring a highly skilled Senior Software Engineer to help design, build, and operate secure, scalable infrastructure that empowers our employees to do their best work. You’ll join a creative, fast-moving, solutions-oriented group that architects and implements automation across identity and access management, endpoint management, and our broader SaaS stack. The ideal candidate will leverage various in-house and external models/platforms to build applications, slackbots, and dashboards for internal users, and streamline complex workflows through automation. This role will play a major role in elevating the overall velocity of all G&A teams at the organization. 

The Impact You Will Have

• As a full stack engineer (60% BE / 40% FE), you will work with your team to build amazing tools/applications for internal company use as well as external customers/partners
• You will design, develop, test, and support full-stack applications on cloud-native distributed systems
• You will build real-time integrations with SaaS platforms across the organization
• You will build a quality framework/unit tests that ensure product quality, performance, and load and are able to debug/identify system issues
• You will collaborate with the broader teams, engage in engineering council, conduct code reviews, and improve our delivery process
• Collaborate with the IAM team to manage cloud-based identity (Okta) and access controls, ensuring compliance with security policies and standards for internal applications.
• Work heavily cross-functionally to identify areas for corporate technology service improvement and implement self-service solutions.

What We Look For

• 5+ years of related experience with a Bachelor’s degree; or equivalent work experience.
• Proficiency with UI frameworks such as React or Angular and HTML, CSS, Typescript, etc
• Proficiency with backend technologies, including API development, databases, and privacy permissions. Ex. Go, Python, PostgreSQL and GraphQL
• Experience with end-to-end testing and documentation
• Experience developing secure, scalable, and resilient applications on the cloud that handle sensitive data
• Experience with cloud technologies, e.g., AWS, Azure, GCP, Docker, or Kubernetes
• Familiarity with compliance frameworks such as SOC 2, ISO 27001, FedRAMP, and NIST.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).

The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions 
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
• Be able and willing to multi-task and learn new technologies quickly

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

Senior Machine Learning Engineer - Model Evaluations, Public Sector

The Public Sector ML team at Scale deploys advanced AI systems—including LLMs, agentic models, and multimodal pipelines—into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

You will:

• Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.
• Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.
• Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.
• Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes.
• Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems.
• Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.
• Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets.
• Comfortable with light travel (approximately 10%) for customer interaction and team needs.

This role will require an active security clearance or the ability to obtain a security clearance.

Ideally you’d have:

• Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings.
• Strong programming skills in Python; experience with TensorFlow or PyTorch.
• Background in algorithms, data structures, and object-oriented programming.
• Experience with LLM pipelines, simulation environments, or automated evaluation systems.
• Ability to convert research insights into measurable evaluation criteria.

Nice to haves:

• Graduate degree in CS, ML, or AI.
• Cloud experience (AWS, GCP) and model deployment experience.
• Experience with LLM evaluation, CV robustness, or RL validation.
• Knowledge of interpretability, adversarial robustness, or AI safety frameworks.
• Familiarity with ML evaluation frameworks and agentic model design.
• Experience in regulated, classified, or mission-critical ML domains.

We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. This role sits at the intersection of security operations and software engineering — you won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert.

You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps — but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation.

You will:

• Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.
• Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.
• Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.
• Perform digital incident investigations to identify and contain potential security breaches.
• Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.
• Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.
• Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization.
• Utilize threat intelligence platforms to improve hunting, detection, and response workflows.
• Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.

Ideally, you'd have:

• • 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.
  • Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code — not just scripts.
  • Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.
  • Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.
  • Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.
  • Familiarity with digital forensics tools and malware analysis techniques.
  • Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.
  • Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.
  • Strong communication skills, with the ability to translate complex security findings into clear business impact.
  • Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus.

About Us

At Prenuvo, we are on a mission to flip the paradigm from reactive “sick-care” to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against “we caught it too late again".

We're looking for a Senior Frontend Engineer to join our eCommerce team, focusing on optimizing user experience, reducing friction in booking flows, and driving growth through continuous experimentation. You will be a key contributor to our online booking platform—a critical, revenue-driving application that guides customers through scan selection, scheduling, and payment. If you have a startup mentality, a passion for data-driven decisions, and the technical depth to own features from concept to production, this is a high-impact role that directly influences conversion rates, customer satisfaction, and core business metrics.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives!

What You’ll Do

• Optimize the User Experience: Identify and eliminate friction points in the booking funnel, optimize page load performance, and ensure WCAG accessibility compliance across all flows.
• Drive Experimentation & Growth: Design, implement, and analyze A/B tests using a platform like PostHog or DataDog. Build feature flag infrastructure for gradual rollouts and track conversion metrics at each stage of the funnel.
• Own Frontend Architecture: Build highly responsive interfaces using a hook-first architecture (separating business logic from presentational components) and modern state patterns (optimistic updates, single-flight request patterns).
• Ensure Reliability & Observability: Set up and maintain Datadog RUM dashboards, implement comprehensive error tracking, and debug production issues to maintain high system reliability.
• Champion Testing & Quality: Write and maintain robust E2E tests (Playwright) for critical booking flows and ensure high component test coverage (Vitest, React Testing Library).
• Implement Secure Integrations: Build secure authentication flows (Auth0, OAuth 2.0) and handle payment processing data (Stripe, Affirm) according to strict PCI and frontend security standards.
• Collaborate & Mentor: Work autonomously while surfacing blockers early. Mentor junior engineers, partner closely with Product and Design, and comfortably challenge product decisions using data.

What You’ll Bring

• 5+ years of professional frontend software engineering experience, with a deep understanding of React (React 19 preferred, including hooks and functional components).
• Strong proficiency in TypeScript (strict mode, generics, type safety).
• Solid experience with modern state management (Zustand, TanStack Query) and utility-first CSS (Tailwind).
• A strong track record of writing, maintaining, and debugging automated tests using Playwright, Vitest, and React Testing Library.
• Hands-on experience with monitoring and experimentation tooling (Datadog RUM, PostHog, or similar).
• A data-driven, user-focused mindset: you empathize with customer pain points and make decisions based on metrics rather than opinions.
• A strong "startup mentality": you are comfortable with ambiguity, know how to balance speed with quality, and take deep ownership of outcomes.
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Nice to Have

• Experience with e-commerce, checkout flows, or headless commerce platforms (e.g., CommerceTools).
• Experience with design systems and mobile-first design implementation.
• Experience with component libraries (e.g., Material UI) and implementing mobile-first design systems.
• Deep performance optimization expertise (Core Web Vitals, bundle optimization).
• Knowledge of Google Tag Manager (GTM) and Google Analytics 4 (GA4).
• Experience with Next.js (App Router, SSR/SSG patterns).
• Familiarity with healthcare or heavily regulated industries.

Our Values

First: we are Pioneers

• Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.

Second: we are Platform-Builders

• We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.

Above all: we are Patients

• We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.

What We Offer

• An avenue to make a positive impact on people's lives and their health
• We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member 
• Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
• Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize 
• Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
• We now offer the Prenuvo’s Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we’ve got you covered—making your commute easier and more affordable! 
• Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions.
• We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
• The base salary for this role is $175,000 to $190,000 in local currency, depending on experience and geographic location

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.

Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.

We are looking for a Functional Safety Software Engineer to join us and drive the development and management of our autonomous vehicle safety cases as we bring the Kodiak Autonomy System to market. We first published our Safety Report in 2019 and have based our development on systems engineering, the ISO26262 process and SOTIF principles. 

In this role, you will:

• Participate in developing technical safety requirements to be used in the Kodiak Autonomy System in various approved Operational Design Domains. 
• Lead specification of software safety requirements.
• Participate in development of software safety architectural design.
• Participate in software safety unit design and implementation.
• Develop test plans, test procedures, verification reports at the software unit and software integration levels. Support system level testing from a software safety perspective.
• Perform software safety analyses (e.g. dependent failure analysis) to comply with ISO 26262.
• Support Hardware-Software Interface development and derive safety measures.
• Collaborate with Kodiak internal and external stakeholders to review and assess work products for compliance with ISO 26262.
• 10% travel to test sites possible

What you’ll bring:

• Bachelor’s degree or higher in software, electrical, mechanical or other related engineering and/or a Bachelor’s degree with professional experience in a high tech environment
  
• Experience with Part 4, 6, 8 and 9 of ISO 26262. Special emphasis on implementation of Part 6 for autonomous vehicles  
  
• Experience with developing work products for safety critical systems. 
  
• Experience with system and software level verification and validation of autonomous vehicles
  
• Experience with functional safety standards such as ISO26262, SOTIF, and UL4600.
  
• Good communication skills with a collaborative approach
  
• Ability to structure project tasks and drive evidence development among teams
  
• Knowledge of software configuration management and software quality assurance
  

What we offer:

• Competitive compensation package including equity and biannual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
• Flexible PTO 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, One Medical, Gympass, Spring Health
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that unifies identity, intelligence, and omnichannel activation into a single platform – powered by trillions of consumer signals and one of the industry’s largest proprietary databases. Our enterprise clients use the Zeta Marketing Platform (ZMP) to personalize experiences at the individual level across every channel. 

THE ROLE

Our Vertical Applications team builds web applications that bring the power of ZMP to specific industries – Healthcare, Political, Retail, and more. Every vertical comes with its own fascinating challenges: unique compliance requirements, distinct data models, and workflows that genuinely matter to the people using them. It’s the kind of work where you get to learn new domains, solve real problems, and see your applications make a tangible impact. 

You’ll own applications end-to-end: partner with product owners to define the problem, architect the backend, integrate with Zeta’s core platform, build the frontend, ship to production, and ensure operational excellence. We value clean, simple architectures, test-first development, and continuous delivery. AI-assisted development with tools like Cursor, Claude Code, Gemini and Codex is embedded in our everyday workflow, and we’re excited about what agentic engineering unlocks for both development velocity and software quality. 

What You’ll Do 

• Own vertical web applications from idea to production – working closely with product owners, designing the architecture, building it, shipping it, and running it. 

• Architect backend services (Python, Java, Ruby, Node.js) with a focus on simplicity and reusability across verticals, so good patterns compound over time. 

• Build polished frontend experiences in React/TypeScript/Ant Design System that connect seamlessly with backend APIs (REST, Thrift). 

• Ship continuously and confidently through CI/CD, with observability, resilience and reliability built in from the start. 

• Use AI-assisted development tools as a natural part of your workflow to move faster while keeping quality high. 

• Weave AI/LLM capabilities into vertical applications, opening up new possibilities for each domain. 

• Collaborate across teams – mentor fellow engineers, lead technical initiatives, and bring clarity to complex decisions for both technical and non-technical audiences. 

What We’re Looking For 

10+ years of software engineering with a history of owning and operating the systems you build. You’re deeply proficient in at least two of Python, Java, Ruby, or Node.js, with solid React/TypeScript skills on the frontend. Continuous delivery, test-driven development, agile and shift-left are things you genuinely practice – not just checkboxes on a process document. 

You’re comfortable building and operating scalable, distributed, high performant systems and navigating multi-tenant, compliant environments. You’re already using AI-assisted coding tools (Cursor, Claude Code, Gemini, Codex, or similar) and you’re curious about pushing those workflows further.  

You’re a strong communicator who enjoys working directly with product owners, proposing architectures, building consensus across teams, and then making it happen. You’re energized by learning new domains and collaborating with people who care about their craft. 

Nice to Have 

• MarTech or AdTech experience (DSPs, bid stream processing, data-intensive platforms). 

• Domain knowledge in Healthcare, Political, or Retail verticals. 

Tech Stack 

Why You’ll Love It Here 

• Interesting problems across diverse verticals – Healthcare, Political, Retail – on a platform processing trillions of consumer signals. You’ll never be bored. 

• AI-native engineering culture – agentic development isn’t a side experiment, it’s how we build. You’ll be at the forefront of how software teams work in the future. 

• Real ownership and autonomy. We trust our engineers to make great decisions and give them the space to do it. 

• Collaborative, low-ego team that genuinely enjoys working together and learning from each other. 
• Public company (NYSE: ZETA) with strong growth, competitive compensation, equity, and comprehensive benefits. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $200,000 - $220,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-YW1

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that unifies identity, intelligence, and omnichannel activation into a single platform – powered by trillions of consumer signals and one of the industry’s largest proprietary databases. Our enterprise clients use the Zeta Marketing Platform (ZMP) to personalize experiences at the individual level across every channel. 

THE ROLE

Our Vertical Applications team builds web applications that bring the power of ZMP to specific industries – Healthcare, Political, Retail, and more. Every vertical comes with its own fascinating challenges: unique compliance requirements, distinct data models, and workflows that genuinely matter to the people using them. It’s the kind of work where you get to learn new domains, solve real problems, and see your applications make a tangible impact. 

You’ll own applications end-to-end: partner with product owners to define the problem, architect the backend, integrate with Zeta’s core platform, build the frontend, ship to production, and ensure operational excellence. We value clean, simple architectures, test-first development, and continuous delivery. AI-assisted development with tools like Cursor, Claude Code, Gemini and Codex is embedded in our everyday workflow, and we’re excited about what agentic engineering unlocks for both development velocity and software quality. 

What You’ll Do 

• Own vertical web applications from idea to production – working closely with product owners, designing the architecture, building it, shipping it, and running it. 

• Architect backend services (Python, Java, Ruby, Node.js) with a focus on simplicity and reusability across verticals, so good patterns compound over time. 

• Build polished frontend experiences in React/TypeScript/Ant Design System that connect seamlessly with backend APIs (REST, Thrift). 

• Ship continuously and confidently through CI/CD, with observability, resilience and reliability built in from the start. 

• Use AI-assisted development tools as a natural part of your workflow to move faster while keeping quality high. 

• Weave AI/LLM capabilities into vertical applications, opening up new possibilities for each domain. 

• Collaborate across teams – mentor fellow engineers, lead technical initiatives, and bring clarity to complex decisions for both technical and non-technical audiences. 

What We’re Looking For 

10+ years of software engineering with a history of owning and operating the systems you build. You’re deeply proficient in at least two of Python, Java, Ruby, or Node.js, with solid React/TypeScript skills on the frontend. Continuous delivery, test-driven development, agile and shift-left are things you genuinely practice – not just checkboxes on a process document. 

You’re comfortable building and operating scalable, distributed, high performant systems and navigating multi-tenant, compliant environments. You’re already using AI-assisted coding tools (Cursor, Claude Code, Gemini, Codex, or similar) and you’re curious about pushing those workflows further.  

You’re a strong communicator who enjoys working directly with product owners, proposing architectures, building consensus across teams, and then making it happen. You’re energized by learning new domains and collaborating with people who care about their craft. 

Nice to Have 

• MarTech or AdTech experience (DSPs, bid stream processing, data-intensive platforms). 

• Domain knowledge in Healthcare, Political, or Retail verticals. 

Tech Stack 

Why You’ll Love It Here 

• Interesting problems across diverse verticals – Healthcare, Political, Retail – on a platform processing trillions of consumer signals. You’ll never be bored. 

• AI-native engineering culture – agentic development isn’t a side experiment, it’s how we build. You’ll be at the forefront of how software teams work in the future. 

• Real ownership and autonomy. We trust our engineers to make great decisions and give them the space to do it. 

• Collaborative, low-ego team that genuinely enjoys working together and learning from each other. 
• Public company (NYSE: ZETA) with strong growth, competitive compensation, equity, and comprehensive benefits. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $200,000 - $220,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-YW1

OUR COMPANY:

EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees.

We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency.

WHAT YOU WILL DO:

As an Audio Visual Post Sales Systems Engineer, you will provide technical oversight from project award through final commissioning. You’ll ensure successful delivery by identifying specific needs or processes, including tooling, test documentation, and resource planning. This role supports project managers, field teams, and sales, ensuring technical excellence and customer satisfaction.

This role requires up to 70% travel to client sites. 

KEY RESPONSIBILITIES:

• Provide technical support to Project Managers, Field Implementation Teams, and Sales.
• Assist with product testing and remote commissioning.
• Review and refine project Scope of Works (SOW) to ensure optimal operation and customer satisfaction.
• Approve support documentation for project deployment.
• Stay current with system technologies via manufacturer training and partner relationships.
• Review and approve technical documents (schematics, rack drawings, layout drawings, IP system details).
• Provide feedback on technical aspects to improve project processes and deployments.
• Approve final as-built drawing sets for project close-out.
• Collaborate on change orders and scope modifications.

ESSENTIAL CRITERIA:

• 8+ years of AV industry design experience.
• Degree in a technical discipline or 10+ years of professional AV experience in implementation/system support.
• Expertise in key technologies:
  • Control: Crestron, AMX, Extron
  • Audio: BIAMP, QSC, Polycom
  • Video: Cisco, Polycom, QSC, Crestron, Lightware, Teams, Zoom
  • AVoIP Design and Deployment
• CTS certification or higher.
• Experience managing large projects (Project or Field).
• Strong written and verbal communication skills.
• Proficiency in:
  • Audio systems design (conferencing, digital sound, public address, event spaces)
  • Video systems (large format displays, projection, video wall processing)
  • Control systems (touchscreen, automation, smart building tech)
  • Video conferencing integration and deployment
  • AV infrastructure design and planning
• Flexibility to work across time zones and travel internationally as needed.
• Valid driver’s license.

DESIRABLE CRITERIA:

• CTS-D, CTS-I certifications
• Formal engineering degree
• Experience with AutoCAD, BIM software
• Proficiency in Microsoft Excel, PowerPoint, Visio
• Familiarity with Ease Software
• Certifications in Shure, QSC, Lightware
• Strong technical writing skills

The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. 

EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. 

#LI-Onsite, #LI-Remote, #LI-Hybrid

OUR COMPANY:

EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees.

We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency.

WHAT YOU WILL DO:

As an Audio Visual Post Sales Systems Engineer, you will provide technical oversight from project award through final commissioning. You’ll ensure successful delivery by identifying specific needs or processes, including tooling, test documentation, and resource planning. This role supports project managers, field teams, and sales, ensuring technical excellence and customer satisfaction.

This role requires up to 70% travel to client sites. 

KEY RESPONSIBILITIES:

• Provide technical support to Project Managers, Field Implementation Teams, and Sales.
• Assist with product testing and remote commissioning.
• Review and refine project Scope of Works (SOW) to ensure optimal operation and customer satisfaction.
• Approve support documentation for project deployment.
• Stay current with system technologies via manufacturer training and partner relationships.
• Review and approve technical documents (schematics, rack drawings, layout drawings, IP system details).
• Provide feedback on technical aspects to improve project processes and deployments.
• Approve final as-built drawing sets for project close-out.
• Collaborate on change orders and scope modifications.

ESSENTIAL CRITERIA:

• 8+ years of AV industry design experience.
• Degree in a technical discipline or 10+ years of professional AV experience in implementation/system support.
• Expertise in key technologies:
  • Control: Crestron, AMX, Extron
  • Audio: BIAMP, QSC, Polycom
  • Video: Cisco, Polycom, QSC, Crestron, Lightware, Teams, Zoom
  • AVoIP Design and Deployment
• CTS certification or higher.
• Experience managing large projects (Project or Field).
• Strong written and verbal communication skills.
• Proficiency in:
  • Audio systems design (conferencing, digital sound, public address, event spaces)
  • Video systems (large format displays, projection, video wall processing)
  • Control systems (touchscreen, automation, smart building tech)
  • Video conferencing integration and deployment
  • AV infrastructure design and planning
• Flexibility to work across time zones and travel internationally as needed.
• Valid driver’s license.

DESIRABLE CRITERIA:

• CTS-D, CTS-I certifications
• Formal engineering degree
• Experience with AutoCAD, BIM software
• Proficiency in Microsoft Excel, PowerPoint, Visio
• Familiarity with Ease Software
• Certifications in Shure, QSC, Lightware
• Strong technical writing skills

The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. 

EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. 

#LI-Onsite, #LI-Remote, #LI-Hybrid

OUR COMPANY:

EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees.

We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency.

WHAT YOU WILL DO:

As an Audio Visual Post Sales Systems Engineer, you will provide technical oversight from project award through final commissioning. You’ll ensure successful delivery by identifying specific needs or processes, including tooling, test documentation, and resource planning. This role supports project managers, field teams, and sales, ensuring technical excellence and customer satisfaction.

This role requires up to 70% travel to client sites. 

KEY RESPONSIBILITIES:

• Provide technical support to Project Managers, Field Implementation Teams, and Sales.
• Assist with product testing and remote commissioning.
• Review and refine project Scope of Works (SOW) to ensure optimal operation and customer satisfaction.
• Approve support documentation for project deployment.
• Stay current with system technologies via manufacturer training and partner relationships.
• Review and approve technical documents (schematics, rack drawings, layout drawings, IP system details).
• Provide feedback on technical aspects to improve project processes and deployments.
• Approve final as-built drawing sets for project close-out.
• Collaborate on change orders and scope modifications.

ESSENTIAL CRITERIA:

• 8+ years of AV industry design experience.
• Degree in a technical discipline or 10+ years of professional AV experience in implementation/system support.
• Expertise in key technologies:
  • Control: Crestron, AMX, Extron
  • Audio: BIAMP, QSC, Polycom
  • Video: Cisco, Polycom, QSC, Crestron, Lightware, Teams, Zoom
  • AVoIP Design and Deployment
• CTS certification or higher.
• Experience managing large projects (Project or Field).
• Strong written and verbal communication skills.
• Proficiency in:
  • Audio systems design (conferencing, digital sound, public address, event spaces)
  • Video systems (large format displays, projection, video wall processing)
  • Control systems (touchscreen, automation, smart building tech)
  • Video conferencing integration and deployment
  • AV infrastructure design and planning
• Flexibility to work across time zones and travel internationally as needed.
• Valid driver’s license.

DESIRABLE CRITERIA:

• CTS-D, CTS-I certifications
• Formal engineering degree
• Experience with AutoCAD, BIM software
• Proficiency in Microsoft Excel, PowerPoint, Visio
• Familiarity with Ease Software
• Certifications in Shure, QSC, Lightware
• Strong technical writing skills

The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. 

EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. 

#LI-Onsite, #LI-Remote, #LI-Hybrid

OUR COMPANY:

EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees.

We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency.

WHAT YOU WILL DO:

As an Audio Visual Post Sales Systems Engineer, you will provide technical oversight from project award through final commissioning. You’ll ensure successful delivery by identifying specific needs or processes, including tooling, test documentation, and resource planning. This role supports project managers, field teams, and sales, ensuring technical excellence and customer satisfaction.

This role requires up to 70% travel to client sites. 

KEY RESPONSIBILITIES:

• Provide technical support to Project Managers, Field Implementation Teams, and Sales.
• Assist with product testing and remote commissioning.
• Review and refine project Scope of Works (SOW) to ensure optimal operation and customer satisfaction.
• Approve support documentation for project deployment.
• Stay current with system technologies via manufacturer training and partner relationships.
• Review and approve technical documents (schematics, rack drawings, layout drawings, IP system details).
• Provide feedback on technical aspects to improve project processes and deployments.
• Approve final as-built drawing sets for project close-out.
• Collaborate on change orders and scope modifications.

ESSENTIAL CRITERIA:

• 8+ years of AV industry design experience.
• Degree in a technical discipline or 10+ years of professional AV experience in implementation/system support.
• Expertise in key technologies:
  • Control: Crestron, AMX, Extron
  • Audio: BIAMP, QSC, Polycom
  • Video: Cisco, Polycom, QSC, Crestron, Lightware, Teams, Zoom
  • AVoIP Design and Deployment
• CTS certification or higher.
• Experience managing large projects (Project or Field).
• Strong written and verbal communication skills.
• Proficiency in:
  • Audio systems design (conferencing, digital sound, public address, event spaces)
  • Video systems (large format displays, projection, video wall processing)
  • Control systems (touchscreen, automation, smart building tech)
  • Video conferencing integration and deployment
  • AV infrastructure design and planning
• Flexibility to work across time zones and travel internationally as needed.
• Valid driver’s license.

DESIRABLE CRITERIA:

• CTS-D, CTS-I certifications
• Formal engineering degree
• Experience with AutoCAD, BIM software
• Proficiency in Microsoft Excel, PowerPoint, Visio
• Familiarity with Ease Software
• Certifications in Shure, QSC, Lightware
• Strong technical writing skills

The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. 

EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. 

#LI-Onsite, #LI-Remote, #LI-Hybrid

OUR COMPANY:

EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees.

We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency.

WHAT YOU WILL DO:

We are looking for a skilled and detail-oriented AV Commissioning Engineer to lead the testing, configuration, and fine-tuning of complex audio-visual systems. In this role, you’ll collaborate with cross-functional teams to ensure AV systems are delivered to the highest quality standards and meet client expectations. This is an excellent opportunity for a hands-on AV professional with strong technical acumen and a passion for delivering world-class AV experiences.

KEY RESPONSIBILITIES:

• Collaborate with project teams to review and understand AV designs and specifications
• Perform on-site testing and commissioning of AV systems, ensuring full functionality
• Configure, program, and integrate AV components including displays, projectors, audio processors, and control systems
• Calibrate AV systems for optimal audio and video performance (levels, resolutions, color accuracy)
• Troubleshoot and resolve technical issues during commissioning and handover
• Validate signal flow and connectivity across all AV components
• Implement and test AV control systems (touch panels, automation, user interfaces)
• Document configuration settings, commissioning results, and system adjustments
• Provide training and operational support to end-users and clients
• Partner with designers and programmers to optimize system performance and user experience

ESSENTIAL CRITERIA:

• Previous experience in AV commissioning or a similar technical AV role
• Strong understanding of AV hardware and protocols (HDMI, HDBaseT, Dante, AES67)
• Proficient in AV calibration techniques and the use of testing tools (e.g., signal generators, analyzers)
• Familiarity with AV control and DSP platforms such as Crestron, Extron, Biamp, or QSC
• Exceptional troubleshooting and diagnostic skills
• Excellent written and verbal communication skills
• Detail-oriented and highly organized, with a commitment to high-quality delivery
• Able to work both independently and in a team setting
• Flexibility to travel to client/project sites as needed

DESIRABLE CRITERIA:

• Bachelor's degree in Electrical Engineering, Audio Engineering, Computer Science, or equivalent experience
• Industry certifications such as CTS (Certified Technology Specialist) 
• Experience in enterprise environments or large-scale AV deployments
• Proficiency in control system programming or GUI customization
• Familiarity with remote monitoring tools or AV over IP technologies
• Experience training end-users and conducting technical walkthroughs

EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of gender, gender identity, gender reassignment, age, religious or similar philosophical belief, race, national origin, political opinion, sexual orientation, disability, marital or civil partnership status, or other non-merit factor.

The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. 

#LI-HH1

About the Role:

We're looking for seasoned full-stack software engineers to join the teams behind Gusto's customer-facing products — the features and experiences that small business owners and their employees rely on every day.

As a Staff Software Engineer, you'll operate across the full product lifecycle: shaping features from early spec and design through to launch and long-term iteration. That means writing clean frontend code, designing and building reliable backend APIs, influencing product direction, and taking ownership of what happens after a feature ships. 

If you're drawn to work that combines technical craft with real-world impact — helping power the livelihoods of millions using Gusto products — join us!

Here’s what you’ll do day-to-day:

• Design, build, and test Gusto core products such as Payroll, Benefits, HR, Retirement, Gusto Money, Gusto Solo, and Gusto Pro, among others
• Mentor other engineers to help solve some of the hardest technical problems out there in very complex domains and at a large scale
• Help scale one of the largest Ruby/Rails and Javascript/React applications in the world
• Collaborate with our Product Management, Data, Design, and Platform Engineering teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch daily
• Build products that our customers genuinely love

Here’s what we’re looking for:

• Successful applicants typically have 8+ years of software development experience
• Experience building scalable solutions that eliminate customer pain; passion for creating memorable experiences for customers
• Experience leveraging AI tools or systems to accelerate development, improve testing, and deliver new product capabilities
• Curiosity and experimentation with emerging AI frameworks, applying and sharing best practices to evaluate and scale AI use safely across teams
• Experience owning multi-quarter projects that solve complex engineering problems and make measurable customer impact at scale
• Experience with large scale refactors, performance and reliability issues, and a strong sense of ownership over all aspects of your product area
• Ability to mentor engineers to maximize their performance and impact

Others:

• Experience in, or interest working in, Ruby on Rails 
• Appreciation for a collaborative, test-driven environment
• Ability to build well-structured, maintainable, well-documented code
• Ability to effectively communicate across engineering teams and with business stakeholders

Do you prefer platform development instead? Check out our Staff Software Engineer, Core Platforms job listing. 

Please note that a two day travel to a Gusto office for onboarding is required for this position. If you have any questions regarding this requirement, please share with your recruiter.

Our cash compensation amount for this role is targeted at $163,000–$204,000 in Denver & most remote locations, and $197,000–$247,000 for San Francisco & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

About the role

MyPay is Chime’s Earned Wage Access (EWA) product and one of the company’s fastest-growing, revenue-driving products, used by millions of members to access their earnings when they need it.

We power complex, real-time money movement at scale - including underwriting, eligibility decisions, ledgering, and seamless financial transactions.

In this role, you will design and build backend services where correctness, resiliency, and performance are critical. You will collaborate closely with Product, Design, Data Science, Risk, Analytics, and others to drive rapid experiments, make data-driven decisions and scale high-impact solutions.

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. 

In this role, you can expect to

• Independently own and deliver features end-to-end
• Design, develop, test, refactor and scale backend implementations of new and existing consumer product features
• Work with the mobile team to design and build strong, resilient APIs that power the member facing mobile app
• Collaborate with cross functional teams to understand member pain points and come up with solutions
• Proactively identify opportunities for improving the reliability and scalability of our systems
• Work across the engineering team to improve and uphold high technical standards
• Grow into owning larger components of the system over time

To thrive in this role, you have

• 3+ years developing software in a production environment at scale
• Experience designing APIs, working with transactional databases and caching systems
• Exposure to architectural patterns of large, high-scale web applications
• An appreciation of maintainable and well-tested code
• Enjoyment in learning and diving into the deepest levels of how things work
• Collaborative spirit and strong communication skills, with experience working cross-functionally
• Product mindset with a strong bias toward experimentation, iteration, and measuring impact
• Start-up experience as an added plus

#LI-Hybrid #LI-SB1

About the role

Chime’s Instant Loans team builds products that give members upfront liquidity for larger, specific needs, with clear, predictable repayment that helps them build credit responsibly. As an engineer on the team, you’ll work across the stack to build and scale services that offer a few hundred to a few thousand dollars over terms from months to years, making fair credit accessible to people who are often denied by traditional banks. This role is ideal for engineers who want to move quickly, collaborate closely with product, design, data, and risk, and care deeply about expanding financial access and stability for millions of members.

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. 

In this role, you can expect to

• Design, develop, test, refactor and scale backend implementations of new and existing consumer product features
• Work on member-facing mobile app, including designing and building strong, resilient APIs that power key member experiences.
• Collaborate with cross functional teams to understand member pain points and come up with solutions
• Develop thoroughly tested code and conduct quality assurance on all new code alongside our QA team
• Proactively identify opportunities for improving the reliability and scalability of our systems
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

To thrive in this role, you have

• 3+ years developing software in a production environment at scale
• Proven experience with Ruby on Rails or comparable frameworks
• Comfort working across the stack and an eagerness to learn new technologies
• Experience designing APIs, working with transactional databases and caching systems
• A product mindset with a strong bias toward experimentation, iteration, and measuring impact
• Exposure to large-scale architecture patterns and an appreciation for clean, maintainable code
• A collaborative spirit and strong communication skills, with experience working cross-functionally
• Experience working in a fast-paced, product-focused environment (Fintech experience is a plus)

#LI-Hybrid #LI-SB1

About the role

SpotMe provides our members with liquidity when and where they need it so they can still buy groceries, pay for transportation or cover unexpected expenses when money is tight. We’re looking for a backend engineer to help build and operate our services that make this possible. You’ll join a tight-knit, collaborative team that holds a high bar for quality, learns together and cares deeply about solving real member problems.

Our members regularly tell us SpotMe is one of the main reasons they recommend Chime. If you’re curious, collaborative and excited to grow as a product-minded backend engineer, this is a chance to work on a beloved, high-impact feature at meaningful scale.

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. 

In this role, you can expect to

• Design, develop, test and scale backend APIs and services of new and existing product features
• Collaborate closely with mobile, product, design, risk and data partners to understand member pain points and turn them into simple and reliable solutions
• Proactively identify opportunities for improving the reliability and scalability of our systems
• Work across the engineering team to improve and uphold high technical standards
• Participate in code reviews, on-call rotations and incident follow-ups to grow quickly while helping the team raise the bar on quality and operational excellence

To thrive in this role, you have

• 3+ years developing software in a production environment at scale
• Proven experience with Ruby on Rails or comparable frameworks
• Experience working with transactional databases and caching systems
• Exposure to architectural patterns of large, high-scale web applications
• An appreciation of maintainable and well-tested code
• A collaborative, low-ego working style. You enjoy pairing with others, giving and receiving feedback and helping your teammates succeed
• Enjoyment in learning and diving into the deepest levels of how things work
• Start-up experience as an added plus
• A strong product and member mindset. You care about the real people on the other side of the API and are motivated by seeing your work have a positive impact

#LI-Hybrid #LI-SB1

About the role

Chime Engineering is growing rapidly as we scale to support the financial needs of our members. We are looking for driven engineers to join our Credit Risk Platform team, where you’ll build backend services and internal tools that help Chime manage credit risk and losses across all of our credit products, including Loans, MyPay, SpotMe, and a growing pipeline of new credit products in development.

This team is building a shared risk platform that expands with every new product we launch. A key part of the mission is being able to onboard new credit products as a platform capability, not a reinvention of decisioning, controls, and monitoring each time. You’ll partner closely with Credit Risk, Product, Analytics, and Data Science to help risk experts iterate safely using better tooling, richer data, and clear guardrails. That includes integrating third-party data sources and building systems that are reliable, observable, and auditable, because they sit on the critical path of member experiences and credit outcomes.

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. 

In this role, you can expect to

• Design, develop, test, and maintain backend services and internal tools that support risk strategy across multiple products (e.g., eligibility, limits, exposure tracking, policy enforcement)
• Contribute to reusable platform primitives that make it faster and safer to launch new credit products without duplicating risk decisioning and controls
• Build and improve workflows that enable Credit Risk teams to adjust strategies (rules, thresholds, segmentation) with appropriate guardrails and review processes
• Integrate third-party data sources used in decisioning and monitoring, including implementing data validation, error handling, and resilience to vendor changes
• Add instrumentation, dashboards, and alerts for key risk and loss signals, and participate in on-call/incident response as part of a supportive team rotation
• Collaborate with senior engineers to learn best practices in system design, testing, and operational excellence
• Proactively identify reliability and scalability improvements and drive them to completion with mentorship and feedback

To thrive in this role, you have

• 3+ years developing software in a production environment
• Experience with Ruby on Rails or comparable frameworks, building and operating APIs
• Experience working with relational databases and caching systems, and writing safe schema changes and migrations
• Familiarity with distributed systems fundamentals (async processing, idempotency, retries, backfills) and an interest in learning deeper system design
• A strong appreciation for maintainable, well-tested code and a willingness to improve existing systems, not just ship new ones
• Comfort working across teams to clarify requirements, communicate tradeoffs, and deliver incrementally
• Interest in data-driven systems and integrating external/third-party data sources (fintech or risk experience is a plus, not required)

#LI-Hybrid #LI-SB1

About the role

We are looking for a Software Engineer to help build our new financial platform that is highly reliable, scalable, and will serve as the backbone for Chime. This platform will power the most important financial activities that millions of Chime members undertake every day. You will ensure that we build the highest levels of trust with our members by making our platform lightning-fast, available, secure, resilient and auditable. This is an exciting opportunity to be an invaluable member of a strategically important  initiative for Chime. 

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Design, develop, test, and deploy components of a new financial platform
• Deliver secure, reliable, and high-performance infrastructure and APIs
• Work with our infrastructure engineering team to minimize the operational overhead of production systems you deploy
• Develop thoroughly tested code and conduct quality assurance on all new code alongside our QA team
• Learn and execute on agile methodologies, follow test driven development approach
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

To thrive in this role, you have

• Must have experience in Go
• Experience in additional backend languages such as Ruby, Java and Python is preferred
• Have 4+ years of engineering experience
• Have contributed to the development of backend systems
• Experience in payment processing systems
• Take a rigorous approach to testing backed development
• Experience with AWS or other cloud platforms, Cloud Native technology, No-SQL Databases as a bonus!
• Have an understanding of architectural patterns of large, mission-critical production services as a bonus!
• Have worked in continuous integration/deployment environments as a bonus!
• Please note: If you are located in Seattle, you will be required to onboard in person at our SF HQ + occasional business travel.

#LI-Onsite #LI-GC1

About the Role

This is the first dedicated data hire on Together AI's Finance team. You will own the data layer that Finance runs on — building from scratch the models, pipelines, and reporting infrastructure that allow Strategic Finance, FP&A, and Accounting teams to get reliable answers quickly. The person in this role will have direct exposure to every part of the Finance organization and a real opportunity to shape how data-driven decision-making develops here as the company scales.

A significant portion of your work will touch the data behind the economics of Together's infrastructure, which sits behind nearly every financial question we ask. You will work closely with Together's Data and Commerce engineering team, which owns the underlying billing pipelines and data warehouse. Your job is to define and build the modeling and reporting layer that turns raw operational data into finance-grade datasets — aligning on data contracts, representing Finance's requirements in data design decisions, and ensuring the metrics Finance depends on are correct, documented, and trusted.

Responsibilities

• Own and evolve the dbt transformation layer for Finance: design, build, test, document, and maintain models covering billing, financial performance, compute unit economics, and operational metrics
• Author and maintain Airflow DAGs (Astronomer-managed) that orchestrate Finance dbt runs, data quality checks, and downstream dependencies reliably
• Deliver dashboards and reporting in Hex for the executive team covering financial performance, utilization, and key operating metrics
• Partner with Strategic Finance, FP&A, and Accounting teams on the data infrastructure behind forecasting, cost modeling, and other financial analyses
• Set data quality standards across Finance data products and own incident response when Finance-critical pipelines break
• Build the data foundation – clean, well-structured, documented, and reliably maintained – that enables Finance team to self-serve data analysis and supports AI automation and agentic workflows 

Requirements

• 5+ years in an analytics engineering or data engineering role, with meaningful time supporting Finance or business operations teams
• Expert SQL and production-grade dbt experience — models, tests, docs, snapshots, incremental strategies; you've designed a dbt project from scratch and maintained it
• Hands-on experience with Snowflake and Airflow in production; familiarity with Astronomer and the Cosmos dbt integration is a strong plus
• Solid dimensional modeling fundamentals: star schemas, slowly changing dimensions, fact table grain — you can apply Kimball principles without needing to look them up
• Strong dashboarding skills with a track record of executive-facing reporting that people actually use; experience with Hex or a comparable notebook/BI tool
• Clear communicator who can align stakeholders on metric definitions and translate between engineering tradeoffs and Finance requirements in both directions
• High comfort with ambiguity; this role will require scoping problems from scratch, not executing against pre-defined specs

Nice to Have

• Experience with financial data or billing data such as ARR, usage-based billing, invoice reconciliation, revenue recognition patterns, etc.. We operate a usage-based billing system and this context transfers directly.
• Experience with PII handling, data masking, access-tier modeling, or compliance work (SOC 2, ISO 27001, GDPR, CCPA).
• Familiarity with lakehouse patterns (Iceberg, Delta, Hudi) and hybrid warehouse/lake architectures.
• Python for data tooling: automation, data quality frameworks, custom dbt macros or operators.
• Experience with Hex, Metabase, or similar notebook/BI tooling that sits on top of your dbt models.
• Prior experience in a high-growth AI/ML infrastructure or platform company

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 -$240k + 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.  

About the role

As a Forward Deployed Engineer (FDE) focused on large scale GPU clusters, you will be a hands-on technical partner to our strategic customers – the world’s leading AI model builders. You will partner with our SAs as a deep-domain specialist in large-scale infrastructure, storage, high-performance networking, and cluster orchestration. As key contributors to the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption for our strategic customers, and guide tailored optimization efforts - directly impacting company growth and the hardening of our core platform.

Responsibilities

• Cluster Hardening & Validation: Design and execute rigorous pre-handover test suites (NCCL, DCGM, GPU Burn) to ensure clusters are stable under the extreme stress of multi-node training.
• Technical Partnership: Act as the primary technical point of contact for model labs, helping them tune their orchestration layer (Kubernetes or SLURM) for maximum throughput.
• Infrastructure Optimization: Profile and debug low-level bottlenecks in InfiniBand (IB) fabrics, NVLink topologies, and high-performance storage systems.
• Opinionated Onboarding: Build reference designs and "out-of-the-box" configurations for training frameworks to reduce customer time-to-train.
• Benchmarking & Migration: Lead complex benchmarking exercises to demonstrate the performance impact of migrating to new hardware families or Together AI’s optimized infrastructure.
• Product Feedback Loop: Directly influence our hardware and software roadmap by surfacing edge cases and performance gaps found during customer deployments.

Requirements

• Experience: 5+ years in a technical role, with a strong focus on Large-Scale GPU Infrastructure.
• Orchestration Mastery: Deep, hands-on experience with Kubernetes (specifically GPU-operator and device plugins) and/or SLURM for workload scheduling.
• Networking & Interconnects: Expert knowledge of InfiniBand, RoCE, and NVLink; ability to diagnose network failures that degrade collective communication (NCCL).
• Storage Knowledge: Familiarity with parallel file systems (VAST or Weka preferred) and object storage, specifically in the context of large-scale checkpointing.
• Benchmarking Skills: Ability to run and interpret training benchmarks and communication tests to validate cluster health and performance.
• Coding & Automation: Proficiency in Python and shell scripting; experience with Ansible or similar tools for automated cluster configuration.
• Willingness to dive into the customer's stack to solve hard problems and comfortable with the high-stakes, fast-paced environment of frontier model labs.

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 advancements such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers on our journey in building the next generation of AI infrastructure. 

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $270,000 - $300,000 OTE + 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

About the Role

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.

As a Senior Developer Productivity Engineer at Together AI, you’ll own the systems and tooling that empower engineers to ship high-quality software faster. You’ll optimize workflows, enhance testing, enable reliable and reusable CI/CD, and work with developers to build out stable local environments. Your work will directly impact release velocity, developer happiness, and cross-cutting enablement ensuring engineers spend less time churning on infrastructure and more time building.

Responsibilities

• Automate CI/CD pipelines for zero-downtime deployments (e.g., Canary, Blue/Green).
• Create smart pipelines encouraging reusable workflows and simplicity
• Streamline build/test/deploy workflows.
• Build shared tooling (CLIs, codegen, IDE plugins) to accelerate teams.
• Reduce friction (e.g., faster builds, hot-reload, test tooling).
• Collaborate with developers to identify pain points and streamline workflows.
• Champion best practices through documentation.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field or 5+ years of industry experience in DevOps/SRE, developer tooling, or infrastructure engineering.
• Proficiency in Python, Go, and JavaScript/TypeScript (for tooling, automation, and FE enablement).
• Strong experience with CI/CD tools (GitHub Actions, ArgoCD, Gitops methodology) for building scalable, reusable pipelines.
• Experience with local dev environment tooling (e.g., Skaffold) and containerized development workflows
• Experience with creating starter templates in coordination with engineering for enabling rapid spin up of new services 
• Strong ownership and a builder mindset, you love creating tools others rely on.
• Problem-solving rigor and attention to detail (e.g., diagnosing flaky tests, build latency).

Nice to have

• Kubernetes expertise (EKS, K3s) and optimizing containerized builds.
• Infrastructure as Code (Terraform, Ansible, Pulumi).
• Front-end tooling familiarity (e.g., React, Next.js, Jest) to optimize FE dev workflows.
• Monitoring/observability (Prometheus, Grafana, Honeycomb) to debug bottlenecks.

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 - $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

About the Role

As a Senior Network Engineer at Together, you are responsible for designing, implementing, and maintaining our network infrastructure to ensure seamless connectivity and optimal performance for all user-facing services and production systems. As both a strategic planner and a hands-on engineer, you apply sound networking principles, operational discipline, and advanced automation to our network environments.

You specialize in networking systems—including routing, switching, network security, and protocols—implementing best practices for availability, reliability, and scalability. You have a keen interest in network design, optimization, and emerging technologies in HPC-based data center networking.

Outstanding problem-solving abilities and a comprehensive understanding of fundamental network theory are also critical to your success.

Requirements

• 8+ years of professional experience building, managing, and supporting large-scale hybrid data center networks (excluding enterprise networks).
• High level of proficiency with TCP/IP networking architecture and technologies such as BGP, OSPF, VXLAN, EVPN, and QoS.
• Experience developing network automation pipelines using Python, Ansible, or other languages/tools utilized in infrastructure automation.
• Proficient in using tools such as Wireshark, tcpdump, nmap, MTR, and curl to identify connectivity issues, latency problems, and network bottlenecks.
• Experience designing and supporting multi-tenant networks
• Hands-on experience deploying and supporting network devices from Cisco, Arista, Juniper, and Mellanox.
• Experience working with cloud networks such as AWS, GCP, and Azure.
• Solid experience working in and troubleshooting within a Linux environment.

Responsibilities

• Design, deploy, manage and maintain global multi-vendor, multi-protocol high performance compute networks.
• Analyze data to diagnose and identify root causes to network issues to minimize downtime
• Evaluate and recommend network technologies, hardware, and software solutions.

• Participate in design reviews to ensure the proposed network architecture aligns with business needs and is optimized for performance, scalability, and reliability. 
• Manage relationships with external vendors and partners to test and verify hardware and software selections.

• Develop, and deploy systems and tools to keep all networks running reliably and efficiently
• Establish and implement industry best practices and contribute to the design of new scalable network solutions
• Ensure compliance with IT governance standards and best practices.
• Lead projects to address complex technical challenges, directly contributing to roadmaps and partner alongside the best engineers in the industry to develop world-class solutions

Preferred

• Knowledge of RoCE and Infiniband protocols a plus
• Experience with Docker, Kubernetes, or Slurm a plus 
• Understanding of AI training workloads and the demands they exert on networks 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: $190,000 - $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  

The Opportunity

This is a unique opportunity to join a new engineering team at the ground floor. As an SDE 1, you will learn from senior and staff level engineers while contributing to real production systems that power global trade. We are building Flexport’s client-facing rates platform and a new self-serve booking experience, moving the company from an assisted-sales model to a tech-run one.

You will help build the "front door" of our Client App: the interfaces and services that allow customers to see pricing and book shipments without manual intervention. This is an AI-first team where you will see firsthand how intelligent automation is applied to real-world logistics. If you are looking for a high-growth environment where you can see your code impact thousands of shipments across 112 countries, this is the team for you.

You Will

• Design, develop, test, deploy, and maintain systems that represent the real-world intricacies of global logistics and pricing logic.
• Work within an AI-integrated codebase, learning how to build and maintain services that support autonomous booking and intelligent quoting.
• Contribute to code reviews to maintain code quality, share knowledge, and learn from experienced mentors on the team.
• Collaborate with engineering, product, and design to translate complex business problems into elegant technical solutions.
• Build highly available, secure, and distributed services within a modern microservices architecture.
• Build and launch products rapidly and incrementally: we ship to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics and monitoring into every service you touch.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 1+ years of professional experience in software development with demonstrated coding skills: strong internship experience in a product-focused environment is highly valued.
• Proficiency in modern programming languages: specifically Java, Ruby, or TypeScript.
• Familiarity with technologies like databases, API development, and modern frontend frameworks like React.
• AI Curiosity: A strong interest in how AI and LLMs are transforming software development and a desire to learn how to build with these technologies.
• A self-starter attitude: You are curious, eager to learn, and when you see a problem, you look for a way to solve it.
• Product Curiosity: An interest in how users interact with software and a desire to understand the "why" behind the features you build.

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience using AI coding assistants to accelerate your development workflow.
• Ability to convey technical ideas in common terms to business stakeholders and product managers.
• Excellent written and verbal communication skills.

#LI-Onsite

The Opportunity

Join a new engineering team in San Francisco building Flexport’s client-facing rates platform and self-serve freight booking experience from the ground up. You will work alongside experienced engineers and have direct ownership of features that move the company from an assisted-sales model to a tech-run one for the long tail of our client base.

This team owns two of the highest-leverage surfaces in the Client App: how clients see pricing and how they book without manual intervention. Rates sit at the center of every freight decision, and you will build the systems that power rate visibility, quoting, and pricing intelligence across ocean, air, and trucking. You will also help build the infrastructure that integrates AI-powered automation into the booking flow. This is a rare opportunity to build the "front door" of an $8.6 trillion industry, turning the complexity of global trade into a seamless digital experience for thousands of shippers.

You Will

• Design, develop, test, deploy, and maintain systems within a microservices architecture that power rate visibility and autonomous booking.
• Own the entire lifecycle of a feature: from database schema design and scalable backend APIs to building the React-based frontend applications our customers use.
• Support the integration of AI models and automated workflows to make the pricing and booking experience increasingly intelligent.
• Collaborate with engineering, product, and design to translate complex business problems into elegant, production-ready technical solutions.
• Contribute to code reviews to maintain high quality standards, share knowledge, and mentor peer engineers.
• Build highly available, secure, and distributed systems that can scale with Flexport’s global volume.
• Rapidly build and launch products incrementally, leveraging best practices around CI/CD and shipping to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics, monitoring, and applying learnings from post-mortems to all services.

You Should Have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 3+ years of professional software engineering experience with a proven track record of shipping production-grade applications.
• Full-Stack Capability: You are comfortable owning a feature from end-to-end: working with databases, backend services (Java/Ruby), and frontend frameworks (React).
• Technical Rigor: A passion for simple, well-tested code that is easy to extend and hard to break.
• AI Familiarity: Experience or interest in working with AI APIs and building software that leverages machine learning models to automate user tasks.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns.
• Proficiency with modern programming languages: specifically Java, Ruby, or TypeScript.
• Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS).

It’s a Plus If You Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in fintech, pricing engines, or booking systems.
• Experience in logistics, supply chain, or freight technology.
• A bias for action: When you see a problem, you fix it.
• Excellent written and verbal communication skills: you can convey technical ideas in common terms to business stakeholders and product managers.

#LI-onsite

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Systems, Image & Validation Infrastructure

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or similar scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
• Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
• Data center operations experience, including working with physical hardware
• Experience supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation