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. With Terminal, businesses can unlock in-person payments use cases that are right for their business model—whether it’s creating a superb retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event. 

We’re looking for an experienced product manager to lead and shape the future of the software platform that powers Stripe Terminal’s devices portfolio. Working closely with your engineering partners you will design, build and launch device software capabilities that delight users and differentiate Stripe’s solutions in the market. Working closely with our hardware experts you will build the multi-year strategy for how Stripe will continue to enhance the scalability, reliability, usability, and market differentiation of the software capabilities of our in-person commerce devices. 

In this role, you will work with a spectrum of users, from our largest platforms to small start ups as well as external technology partners to deeply understand user needs and market trends. You will obsess over stability, scalability, and expanding our product while delivering the best in person experiences in the world. 

What you'll do:

Set a motivating multi-year vision for device software in partnership with the Hardware team and then break it down into measurable, meaningful milestones for the Terminal OS Platform Team and the Firmware team. This includes creating buy-in, crafting roadmaps and OKRs, and navigating trade-offs.

• Partner with software and hardware engineers to deeply understand the technology that our devices rely on and how to build on that technology to support exponential growth and a world-class user experience. These experiences will include (but are not limited to) device boot up, device software updates (including AOSP, firmware and applications), device security, software and device performance, connectivity and devices accessories.
• Partner with cross-functional partners to research, document, and deeply understand what Terminal customers need to enable an excellent in person payments experience. 
• Build empathy with our end users and the differentiation they aim to deliver for their merchants.
• Deeply research and understand the competitive landscape and translate that understanding into differentiating features for your product suite.
• Collaborate with the Partnerships team to develop a compelling roadmap for how we can extend Terminal growth via third-party hardware partnerships and clearly communicate the business value of these partnerships in the context of our wider Terminal Hardware roadmap to gain alignment across Terminal and Stripe leadership.
• Use metrics to inform your point of view and leverage analytics to measure success.
• Define product requirements, provide clear guidance on prioritization, and support decisions related to development sequencing. You will also participate in sprint planning rituals to deliver against those requirements and the overall roadmap.
• Leverage your technical knowledge and experience to help your team make technical trade off decisions. 

We’re looking for someone who has:

• 8+ years of product management experience or equivalent
• Demonstrated success and strong execution track record in building and sustaining scalable technology products.
• Great interpersonal skills and strong verbal and written communication. You can collaborate and thrive in productive, healthy debate done with mutual respect and shared goals. You can make complex concepts accessible with clear communication
• Proven track record of successful stakeholder management including executive communications, handling escalations, and advocating for ongoing investment in your product.
• Experience working on products with developer interfaces (App deployment, APIs, SDKs); hardware or hardware-related product experience a plus.
• Technically adept systems thinker, ideally with a Computer Science or equivalent degree or experience working as a software engineer
• Open to travel to Asia, including traveling at times to our Hong Kong or Taiwan locations.

Experience in 1 - 2 of the following areas are nice to have:

• Mobile device management
• Android operating system internals
• Hardware build and lifecycle management
• Payments and/or eCommerce
• Experience successfully building and launching 0-1 products 

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 Security Products organization at CoreWeave builds the identity, encryption, and self-managed security integrations that protect AI workloads and data across our cloud platform. If you are passionate about building foundational security primitives that enable enterprises and the top AI labs in the world to deploy regulated and security‑sensitive workloads at extreme scale, this is the team to join!

About the role

CoreWeave is seeking a Staff or Principal Engineer for our Security Products team to lead the technical direction and implementation of encryption and key lifecycle management  In this role, you’ll design and evolve the key lifecycle management, encryption control planes, algorithm/library selection, and systems integrations that allow CoreWeave customers to deploy sensitive, high security AI workloads and data. You’ll partner closely with teams across CoreWeave to develop customer-driven cryptography technology. Your day‑to‑day will blend hands‑on system design and coding with cross‑team technical leadership, design reviews, and roadmap shaping for Security Products.

In this role, you will:

• Lead the design and evolution of encryption and key lifecycle management products.
• Manage encryption and cryptography technology development for services within our Cloud Platform, particularly those for high security and highly regulated customers.
• Design and build deep integrations between our Cloud Platform and external key sources (eg, HashiCorp Vault, AWS KMS, HSMs).
• Collaborate with other product engineering teams to support the safe use of multicloud key management technology.
• Partner with IAM to define unified authorization patterns and policy models for key management APIs with consistent semantics across the resource hierarchy.
• Establish SLIs / SLOs for Remote Key Encryption (RKE) and related services, including availability, latency, and durability guarantees for key retrieval and encryption operations.
• Partner with the Security Engineering team on threat modeling and corporate strategy to enable the most sensitive AI workloads in the world to be deployed on CoreWeave's infrastructure.
• Author and review detailed technical designs and RFCs for new RKE capabilities, mentor other engineers on the team, and provide technical leadership across Security Products and adjacent organizations.

Who You Are

• 8+ years of experience building and operating distributed backend systems in production, including ownership of reliability and security outcomes for critical services.
• Deep experience with encryption at rest and key management systems, including envelope encryption patterns, key hierarchies and secure key lifecycle management.
• Hands-on experience integrating with at least one major KMS or secrets manager (e.g., AWS KMS, HashiCorp Vault, Azure Key Vault, GCP KMS, HSMs), including designing APIs and workflows around those systems.
• Strong proficiency in a systems programming language such as Go (preferred) or Rust, with experience building networked services (gRPC / REST) in a Linux / Kubernetes environment.
• Solid understanding of applied cryptography concepts relevant to data‑at‑rest protection (AES‑GCM/CTR, key wrapping, KDFs, randomness requirements, envelope encryption, and key separation) with the ability to reason about threat models and failure modes with Security partners.
• Experience designing and operating multi‑tenant services with strong isolation and authorization semantics across customers and internal tenants.
• Demonstrated track record of leading cross‑team technical initiatives, driving projects from problem statement through rollout, alignment, and operational readiness.
• Strong operational experience defining SLIs / SLOs, building dashboards and alerts, and partnering with SRE / Production Engineering on incident response and post‑incident improvement.
• Excellent written and verbal communication skills with the ability to produce clear, opinionated design docs that influence Senior Engineers, PMs, and Security stakeholders through context setting and sound technical judgment

Preferred (if applicable)

• Prior experience designing or implementing remote or externalized key management for cloud storage, databases, or filesystems (e.g., BYOK/BYOKMS, customer‑managed keys, envelope encryption for S3‑like object storage).
• Experience with hardware‑backed key management (HSMs) and cryptographic compliance regimes (FIPS 140‑2/3, PCI, HIPAA, FedRAMP Moderate+, or similar) and how they shape system design.
• Familiarity with IAM policy models (RBAC / ABAC, OpenFGA, OPA/Rego, etc.) and how to integrate fine‑grained authorization into security‑sensitive APIs.
• Experience extending encryption and key management across multiple storage domains (object storage, block/file storage, databases, control plane state like etcd) in a coherent way.
• Background working in security‑sensitive or regulated environments where auditability, segregation of duties, and key custody requirements are critical.
• Contributions to open source cryptography, security tooling, or KMS/client libraries.
• Previous US/NATO federal cryptographic security experience is ideal but not necessary. 

Wondering if you’re a good fit?

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

• You care deeply about getting the cryptographic and operational details right, and you’re comfortable saying “no” to shortcuts that weaken security or key custody guarantees.
• You’re excited by the challenge of building foundational security primitives that other product teams and large enterprises will build on for years.
• You enjoy working at the intersection between Platform, Storage, IAM, and Security Engineering, and you can translate between those domains without losing the plot.
• You’re skilled at turning complex requirements for highly regulated customers into simple, reliable, well‑documented APIs and workflows.
• You’re comfortable operating in a fast‑moving environment, iterating quickly while still holding a high bar for design review, testing, and safe rollout of security‑sensitive changes.

The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

About EG

Engineers Gate (EG) is a leading investment manager founded in 2014 as a quantitative, computer-driven trading firm. Today, EG operates as a diversified, multi-strategy investment platform that combines systematic research with selective discretionary approaches. 
 
EG's multi-manager platform allows independent investment teams to pursue distinct strategies while benefiting from shared infrastructure, risk management, and operational support. The firm’s collaborative groups of researchers, engineers, and investment professionals deploy sophisticated statistical models, proprietary technology, and a centralized data platform to isolate and solve challenging problem sets in the global financial markets. 

About The Role 

We are seeking an End User Services Engineer to join our Information Technology team. In this role, you will be part of a global team responsible for ensuring reliable, secure, and high-performance technology operations across all business units. This role requires hands-on end-user support, proactive issue resolution, and ownership of IT systems that enable productivity at scale. You will support traders, executives, and research staff in a fast-paced, mission-critical environment.  

The ideal candidate will have combined deep technical knowledge with outstanding communication and problem-solving skills, consistently delivering “white glove” service while improving systems and processes. This role is ideal for an engineer who thrives on solving complex problems, values precision and responsiveness, and wants to make a direct impact on mission-critical operations within a high-performance environment. 

This is an on-site role based out of our New York City office, five days a week.

Key Responsibilities 

• Deliver high-quality technical support to users across Windows, macOS, and mobile platforms (iOS). 
• Provide prompt troubleshooting and resolution of hardware, software, network, and market data issues. 
• Manage user onboarding/offboarding, permissions, and account administration. 
• Support audio/visual systems and conferencing technologies (Zoom, Teams, Cisco). 
• Assist with mobile device configuration and management through Intune or similar platforms. 
• Support virtual desktop infrastructure (VDI) environments to enable secure and flexible remote access. 
• Utilize an IT Service Management (ITSM) platform to log, track, and resolve support requests. 
• Document solutions and maintain IT knowledge bases for recurring issues and procedures. 
• Identify opportunities for automation and workflow improvement to enhance efficiency. 
• Provide after-hours and weekend on-call coverage as part of a support rotation. 

Qualifications 

• 2+ years of IT support experience in the financial services industry. 
• Bachelor's degree in computer science, Information Technology, or related field. 
• Strong troubleshooting, communication, and prioritization skills. 
• Experience supporting enterprise desktop environments, including Windows 11, and Office 365. 
• Knowledge of identity and access management systems, user management, and security group administration. 
• Experience with endpoint management, software deployment concepts, and packaging. 
• Understanding of basic networking concepts (LAN/WAN, VPN, DNS, DHCP). 
• Familiarity with cloud-based collaboration platforms (Microsoft 365, SharePoint, OneDrive). 
• Working knowledge of AV setups and remote conferencing technologies. (e.g. Zoom) 
• Ability to work independently, manage priorities, and maintain attention to detail in a fast-paced environment. 
• Comfortable interfacing directly with traders, executives, and analysts to provide professional, high-touch support. 

What We Value 

• Clear communication: You build trust through empathy, clarity, and accountability. 
• Proactive mindset: You anticipate issues and improve systems before problems arise. 
• Ownership: You take initiative and follow through until issue is resolved. 
• Growth orientation: You stay curious, learn continuously, and adapt quickly to new tools and technologies. 

The base salary for this role is anticipated to be $100,000–$130,000, excluding potential bonuses, additional compensation, and benefits. Actual compensation will depend on various factors including skills, experience, and qualifications. 

Who You Are:

The Procurement Manager leads Galaxy’s owner‑furnished (OFCI) procurement program for large‑scale data center development. You are accountable for planning, sourcing, contracting, and managing delivery for long‑lead equipment and technical service packages that directly impact critical‑path project schedules. You partner closely with Construction, Project Management, Operations, Engineering, and Finance to ensure Galaxy procures the right materials and services at the right time, with the right commercial terms—delivering outcomes better, faster, and cheaper.

You bring experience managing complex or long‑lead hardware procurement, understand critical‑path project delivery, and operate with a strong customer‑service mindset when supporting internal stakeholders.

What You’ll Do:

1. Requirements & Planning

• Collaborate with Engineering, Project Management, and Operations to define early procurement requirements for OFCI equipment and service packages.
• Develop category and sourcing strategies aligned to schedule risk, cost drivers, and technical requirements.
• Translate technical specifications into clear scopes of work, commercial requirements, and procurement schedules.

1. Strategic Sourcing & RFP Management

• Lead vendor prequalification, competitive sourcing events, and RFP/RFQ development for long‑lead equipment and construction‑adjacent service packages.
• Manage bid processes, analyze commercial and technical proposals, and perform total cost of ownership evaluations.
• Negotiate pricing, delivery schedules, risk allocations, and commercial terms that support project objectives.
• Prepare award recommendations and decision‑support materials for leadership review.

1. Contracting & Order Execution

• Support contract drafting and terms negotiation in partnership with Legal and technical stakeholders.
• Create and manage purchase orders, change orders, and contract amendments throughout the project lifecycle.
• Ensure contractual requirements align with specifications, schedule expectations, and budget assumptions.

1. Delivery Management & Supplier Performance

• Monitor production, logistics, and delivery of long‑lead equipment, proactively identifying risks to cost or schedule.
• Track supplier capacity, manufacturing constraints, and broader market conditions to inform early‑warning risk mitigation strategies.
• Support supplier onboarding, performance evaluation, KPI/SLA tracking, and issue resolution.
• Build and maintain strong supplier relationships across critical equipment and service categories.

1. Documentation, Reporting & Compliance

• Maintain accurate procurement documentation, commercial logs, delivery trackers, and risk registers.
• Prepare recurring reporting on cost, lead times, supplier performance, market trends, and critical procurement milestones.
• Ensure compliance with Galaxy’s P2P policies, internal controls, and audit requirements.
• Contribute to continuous improvement by identifying opportunities to improve procurement processes and deliver results better, faster, and more efficiently.

What We’re Looking For:

• Bachelor’s degree in Integrated Supply Chain Management, Procurement Business, Engineering, Project Management, or a related field.
• 2+ years of procurement experience supporting hyperscale, hardware, energy, utilities, industrial, or mission‑critical construction projects.
• Experience purchasing long‑lead equipment (e.g., electrical gear, mechanical systems, generators, switchgear, cooling systems) or complex construction service packages.
• Demonstrated ability to negotiate complex technical and schedule‑critical contracts.
• Strong understanding of procurement best practices, including competitive sourcing, bid evaluation, supplier performance metrics, and RFP development.
• Excellent communication and analytical skills with the ability to distill complex technical and commercial information into clear, actionable recommendations.
• Strong customer‑service orientation with the ability to partner closely with stakeholders in a fast‑paced, high‑growth environment.

Bonus Points:

• Experience leveraging procure‑to‑pay systems such as Ramp, Workday, Coupa, or SAP Ariba.
• Professional certifications (ASCM, CSCP, PMP, or similar).

What We Offer:

• Competitive base salary and discretionary bonus
• Flexible Time Off (i.e. unlimited paid vacation days)
• Company paid Holidays (11)
• Company paid sick leave
• Company-paid health and protective benefits for employees, partners, and other dependents
• 3% 401(k) company contribution
• Generous paid Parental Leave
• Free virtual coaching and counseling sessions through Headspace 
• Opportunities to learn about the Crypto industry
• Free daily snacks in-office
• Smart, entrepreneurial, and fun colleagues
• Employee Resource Groups

Apply now and join us on our mission to engineer a new economic paradigm.

Available Locations: NYC

About the Role

Cloudflare’s Senior Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 7+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

Compensation may be adjusted depending on work location.

• For NYC based hires: Estimated annual salary of $185,000 - $254,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Come Work With Us:

Metropolitan Commercial Bank (“MCB” or the “Bank”) is a New York City–based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.

Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.

The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek’s Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor’s Choice recognition at the Banking Tech Awards USA for Digital Onboarding & Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.

We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human–AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank’s website at MCBankNY.com.

Position Summary:

Metropolitan Commercial Bank (the “Bank”) is seeking a VP-level AI/ML Engineer to deploy AI solutions at enterprise scale, with a strong emphasis on Large Language Model (LLM) applications and modern MLOps & AIOps practices. This role sits at the intersection of data science and software engineering, reporting to the manager of the IT Application Development and Support team and working closely with the Chief Artificial Intelligence Officer, transforming innovative AI prototypes into robust, scalable production systems. The AI/ML Engineer will lead the deployment of high-impact AI capabilities (e.g., generative AI systems, personalization engines, automation tools) and ensure scalable AI platforms that deliver real-world value. The role also includes designing, constructing, and maintaining the Bank’s AIOps solution, with Snowflake as the primary ML platform (e.g., Snowpark Python, UDFs/UDTFs, Tasks/Streams, and Snowflake-native ML).

Standard 4-day in-office requirement, 1 day remote (of your choosing)

Essential Functions & Responsibilities 

Production Architecture & AIOps

• Establish and enforce architecture standards for production AI systems, including data pipelines, model serving infrastructure, and real-time inference services.
• Implement AIOps/MLOps pipelines for CI/CD of ML models, model governance, monitoring, and lifecycle management.
• Design and maintain scalable software applications with integrated AI/ML capabilities.
• Develop software architecture and design patterns to ensure performance and scalability.
• Write clean, maintainable code in general-purpose programming languages (Python, Java, C, C++, Go).
• Implement and manage data pipelines for preprocessing and transforming data for AI/ML models.
• Integrate AI/ML models into production environments and optimize for reliability and scalability.
• Apply Site Reliability Engineering (SRE) principles and implement monitoring and alerting solutions.
• Conduct code reviews and provide technical guidance to junior developers.
• Stay current with advancements in software engineering and AI/ML technologies.
• Adhere to agile and lean software development best practices.
• Thoroughly document all developed models and processes according to relevant policies and standards.
• Support the production environment by either resolving technical or functional issues, in line with the procedures defined by the Bank.

Cross-Functional Collaboration

• Partner with data scientists, AI scientists, product managers, data engineers, DevOps, and business stakeholders to operationalize AI algorithms.
• Mentor or train teams and coordinate between research-oriented AI scientists and engineering teams to continuously improve models with production feedback.

Scaling & Performance

• Ensure AI solutions perform at scale, handling thousands of daily inferences with low latency and high reliability.
• Optimize model serving using techniques like model compression, caching, and hardware acceleration.

Implement robust monitoring and alerting for model performance to detect and address degradation (e.g., drift, latency issues).

Qualifications & Skills:

• 6+ years of experience
• Master’s or PhD in a relevant field (Computer Science, Software Engineering,  Machine Learning, Data Science, Statistics, etc.) is strongly preferred, especially with research or thesis work related to AI/ML
• LLM & GenAI Mastery: Expert in building and deploying LLM-based applications using RAG, prompt engineering, and vector databases. Skilled in LLMOps tools (LangChain, LlamaIndex) and fine-tuning models for enterprise use, including agent-based architectures.
• MLOps & Cloud Infrastructure: Proficient in cloud ML platforms (AWS, GCP, Azure) and MLOps workflows. Uses Docker, Kubernetes, and IaC tools (Terraform, CloudFormation) for scalable deployments. Experienced in CI/CD, real-time inference, GPU optimization, and ML observability (Prometheus, Grafana, MLflow).
• Full-Stack Development: Capable of building end-to-end AI solutions, from front-end (React) to back-end APIs (Flask, FastAPI, Node.js). Skilled in integrating ML models with databases (SQL, NoSQL) and delivering seamless user experiences through robust software engineering.
• Proficient in Python (pandas, scikit-learn), deep learning (PyTorch/TensorFlow/Keras), NLP/LLMs, LangChain, embeddings/vector search, and classic ML.
• Experienced with Snowflake-native ML (Snowpark Python, UDFs/UDTFs, Tasks/Streams).
• Competent in data engineering (SQL, ETL/pipelines, Spark/PySpark) and handling large structured/unstructured datasets.
• Strong understanding of AI/ML algorithms, application architecture, and design patterns.
• Excellent problem-solving, analytical, communication, and collaboration skills.

Preferred Qualifications & Skills

• Financial services domain experience (fraud risk, AML, underwriting, or commercial/treasury analytics).
• Hands-on experience with Snowflake ML/Snowpark (Python), Tasks/Streams, secure external functions, and feature management/registry tooling.
• Familiarity with fairness toolkits, XAI frameworks, and preparing models for validation, audit, or regulatory exams.
• Knowledge of SR 23‑4 (third‑party risk), NYC Local Law 144 (AEDT), NYDFS Part 500 (cyber).
• Ability to work in a constantly evolving environment.
• Excellent written and verbal communication skills.
• Strong listening and teaching abilities.
• Demonstrated analytical, troubleshooting, and problem-solving skills.
• Quick learner of new technologies.
• Self-directed with strong technology and communication skills.
• Ability to synthesize multiple sources of information and understand the broader operational context of the Bank.
• Collaborative team player with a practical and creative approach in a dynamic work environment.
• Ability to handle ambiguity, multitask, and adapt quickly to changing priorities.

Potential Salary: $130,000 - $200,000 annually

This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.

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

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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

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

You will:

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

Ideally you'd have:

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

Nice to haves:

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

About the Role

Anthropic manages one of the largest and fastest-growing accelerator fleets in the industry — spanning multiple accelerator families and clouds. The Accelerator Capacity Engineering (ACE) team is responsible for making sure every chip in that fleet is accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute.

As an engineer on ACE, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend.

You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment.

What This Team Owns

The team’s work spans three functional areas. Depending on your background and interests, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:

• Data infrastructure — collecting, normalizing, and serving the fleet-wide data that powers everything else. This means building pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalizing billing and usage data across cloud providers, and maintaining the BigQuery layer that the rest of the org queries against. Correctness, completeness, and latency matter here.

• Fleet observability — making the state of the accelerator fleet legible and actionable in real time. This means building cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and driving systemic improvements to scheduling and fragmentation. The work sits at the intersection of Kubernetes operations and cross-team coordination.

• Compute efficiency — measuring and improving how effectively every major workload uses the hardware it’s running on. This means instrumenting utilization metrics across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and collaborating directly with system-owning teams to close efficiency gaps.

• Internal compute tooling — building the platforms and interfaces that make capacity data usable across the org. This includes capacity planning tools, workload attribution systems, cost dashboards, and self-service APIs. The consumers are research engineers, infrastructure teams, finance, and leadership — each with different needs and different levels of technical depth. The work involves product thinking as much as engineering: figuring out what people actually need, defining schema contracts, and making the data discoverable.

You will be placed on a pod based on your background and interests. We are especially focused on hiring for Data Platform, but strong candidates for any of the three active pods will move forward.

What You’ll Do

• Build and operate data pipelines that ingest accelerator occupancy, utilization, and cost data from multiple cloud providers into BigQuery. Own data completeness, latency SLOs, gap detection, and backfill automation.

• Develop and maintain observability infrastructure — Prometheus recording rules, Grafana dashboards, and alerting systems — that surface actionable signals about fleet health, occupancy, and efficiency.

• Instrument and analyze compute efficiency metrics across training, inference, and eval workloads. Build benchmarking infrastructure, establish per-config baselines, and work with system-owning teams to improve utilization.

• Build internal tooling and platforms that enable capacity planning, workload attribution, and cluster debugging. The consumers are other engineering teams, finance, and leadership — not external users.

• Operate Kubernetes-native systems at scale — deploying data collection agents, managing workload labeling infrastructure, and understanding how taints, reservations, and scheduling affect capacity.

• Normalize and reconcile data across heterogeneous sources — including AWS, GCP, and Azure billing exports, vendor-specific telemetry formats, and internal systems with different schemas and billing arrangements.

• Collaborate across organizational boundaries with research engineering, infrastructure, inference, and finance teams. Gather requirements from technical stakeholders, translate them into useful systems, and communicate trade-offs to non-technical audiences.

You May Be a Good Fit If You Have

• 5+ years of software engineering experience with a strong track record building and operating production systems. You write code every day — this is a hands-on engineering role, not a planning or coordination role.

• Kubernetes fluency at operational depth — you’ve operated production K8s at meaningful scale, not just written manifests. Comfort with scheduling, taints, labels, node management, and debugging cluster-level issues.

• Data pipeline engineering experience — designing, building, and owning the full lifecycle of production data pipelines. Experience with data warehouses (BigQuery preferred), schema management, streaming ingestion, SLOs for latency and completeness, and a strong instinct for correctness.

• Observability tooling experience — Prometheus, PromQL, and Grafana are in the critical path for this team. Experience writing recording rules, understanding metric semantics, and building monitoring systems that engineering teams actually rely on.

• Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable.

• Familiarity with at least one major cloud provider (AWS, GCP, or Azure) at the infrastructure level — compute, billing, usage APIs, cost management tooling. Multi-cloud experience is a strong plus.

• High autonomy and strong cross-team communication. You can gather your own requirements, navigate ambiguity, and work across organizational boundaries. Scrappiness and ownership matter more than polish.

Strong Candidates May Also Have

• Multi-cloud data ingestion experience — especially working with AWS and GCP APIs, billing exports, or vendor-specific telemetry formats. Experience normalizing data from external providers with different billing arrangements is directly applicable.

• Accelerator infrastructure familiarity — GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience working with ML training/inference systems at the hardware level.

• Performance engineering and benchmarking experience — building benchmark harnesses, establishing baselines, reasoning about compute efficiency (FLOPs utilization, memory bandwidth, interconnect throughput), and working with system teams to diagnose and improve performance.

• Data-as-product thinking — experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just building pipelines, but thinking about how platform data gets consumed.

• Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or large-scale ML environment. FinOps, chargeback systems, or infrastructure cost modeling.

Familiarity with ClickHouse, Terraform, or Rust. ClickHouse is the team’s current streaming store; Terraform for infrastructure-as-code; Rust for high-performance data collection agents.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

The successful candidate will join the established DCO team at QRT, working closely with Network Engineering and infrastructure teams you will be responsible for the implementation and physical  deployment of electronic trading infrastructure in support of the firm’s trading activities.

Your Future Role within QRT

• Contribute to the design and planning of new equipment deployments in line with data centre best practices

• Deploy, maintain, and decommission trading infrastructure hardware, including FPGA platforms, ultra-low-latency servers, and high-performance network switches, across a global colocation footprint

• Ensure consistent build quality across structured cabling, rack layouts, power distribution, cooling infrastructure, and environmental monitoring

• Coordinate installations, upgrades, capacity expansions, and decommissions with exchanges, colocation providers, hardware vendors, and onsite engineers

• Support procurement, logistics, inventory management, and the movement of hardware and components between sites

• Maintain accurate and up-to-date infrastructure documentation (rack elevations, patching matrices, connectivity layouts) using CMDB tools such as NetBox

• Work closely with network engineering and trading teams to ensure physical infrastructure meets performance and operational requirements

• Use basic scripting (Python, Bash, Ansible) to support automation, monitoring, and operational tooling where required

• Ensure data centre operations meet high standards of security, cleanliness, documentation, and supply management

• Install, troubleshoot, and support servers, switches, timing devices, and cabling in live environments

• Provide break-fix support in a 24/7 global trading environment

Your Present Skillset:

• Experience working in low-latency or high-performance trading infrastructure environments (e.g. HFT, exchange colocation, market making)

• Strong understanding of hardware and systems used in low-latency trading, including FPGAs, optical taps, high-performance servers, networking, and timing equipment

• Solid understanding of hardware and network devices, including basic configuration

• Proven experience managing vendors and delivering on-site changes and large-scale deployments to exacting standards

• High standards of physical build quality, attention to detail, and operational discipline in infrastructure layout and cabling

• Strong documentation skills with a focus on process consistency and operational readiness

• Comfortable working in a fast-paced, globally distributed team environment

• Willingness to travel internationally and provide occasional evening or weekend support as part of a flexible operations schedule

• Ability to participate in an out-of-hours on-call rotation supporting global trading operations

Base salary range for this position is $150,000 to $180,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. 

The Infrastructure Operations Team ensures the stability and performance of QRT’s global Linux estate, which underpins both trading and research platforms. The team works closely with end users, application teams, and engineering groups to provide day-to-day operational support, while also driving automation, monitoring, and deployment initiatives across a high-performance computing environment. 

Your Future Role within QRT 

• Administer, support, and upgrade Linux-based trading and research platforms 

• Deploy new servers and manage end-to-end build processes 

• Collaborate with engineering teams on automation and monitoring initiatives 

• Troubleshoot incidents and carry out root-cause analysis to ensure long-term stability 

• Contribute to process documentation and knowledge sharing 

• Perform occasional out-of-hours work and participate in an on-call rota (primarily remote) 

Your Present Skillset 

• Strong Linux administration experience (Red Hat, CentOS) 

• Experience with full lifecycle server deployments (hardware to OS build) 

• Knowledge of AMD/Intel server hardware and components 

• Understanding of networking fundamentals (TCP/UDP, LAN/WAN) 

• Experience with automation tools (e.g. Ansible) 

• Familiarity with scripting languages (Python, Bash) 

• Problem-solving mindset with strong analytical and communication skills 

• Team-oriented with a willingness to learn and adapt 

• Exposure to NFS or SAN storage systems (advantage but not essential). 

This role may involve shift work as required.* 

Base salary range for this position is $150,000 to $200,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 

Your future role within QRT:

QRT are a rapidly growing hedge fund trading globally in competitive financial markets across Europe, the Middle East and Asia. As part of the next phase of development we are rolling out hardware platforms to accelerate our trading systems. FPGA development will be at the heart of many of these systems with a focus on high frequency trading. 

We are looking for talented hardware engineers with a track record of achievement in any domain. You may have experience of finance and trading, but it is not essential. You probably enjoy solving complex system problems where hardware and software come together to provide high performance solutions. We are looking for a range of experience from graduates through to senior engineers, so your achievements may be in academia or industry.

You will have the opportunity to work with the latest technologies and have your voice heard in this fast paced firm. Working with trading teams you will take ownership of:

• Translating trading ideas into the most appropriate solutions
• Develop RTL on the latest FPGAs with modern design flows
• Following through into production, analysing results and optimising

Your present skillset:

• A deep understanding of FPGA architecture leading to efficient designs
• Full lifecycle RTL development including automated verification
• Python scripting
• A working knowledge of C/C++ development
• An ability to see through complexity to identify simple solutions
• A realisation that good teamwork is essential to modern development

 
Base salary range for this position is $180,000 to $280,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. 

The Network Operations team is part of QRT’s global infrastructure function and ensures the stability and reliability of the firm’s global network. The team provides 24/7 operational support, covering monitoring, incident triage, and troubleshooting across a diverse set of environments including low-latency trading, high-performance computing, and global WAN technologies.  

Your Future Role within QRT  

• Ensuring the smooth and efficient operation of the QRT Network in Trading, High Performance Compute, WAN, and other environments.  

• Using modern monitoring techniques and tooling to detect and react to incidents, ensuring a fast response within the target SLA.  

• Provide initial triage of incidents reported by internal teams or detected through monitoring tooling.  

• Support and assist SMEs and vendor support teams through deeper and high priority incidents through to resolution.  

• Owning end-to-end hardware failure process, collaborating with vendors to obtain replacement parts and put into operation.  

• Drive proactively detection of potential incidents using monitoring tooling and trend analysis.  

• Perform operational BAU changes during out of hours change windows such as, ACL updates, port configurations…etc  

• Reporting service outages to connectivity providers, working for fast resolution and post outage RFO reports.  

• Create and update documentation such as diagrams, knowledge articles, how-to guide…etc with aim to reduce time to resolve.  

• Review service performance for connectivity providers and vendors to find and improve sub-performing areas for improvement.  

• Running post incident reviews finding opportunities to improve the availability and reliability of our infrastructure.  

Your Present Skillset  

• CCNA Certified and/or Degree in relevant subject area at 2:1 or above.  

• Experience in an operational support team  

• Experience using Cisco, Arista, Corvil products  

• Strong troubleshooting skills of network infrastructure and collaborating with vendor support teams when required to perform deep investigation.  

• Knowledge of network technologies (i.e. BGP, Multicast, TCP/IP, VXLAN, General Routing/Switching, etc.)  

• Prior usage of NMS tools (i.e. Solarwinds, Zabbix, Grafana, Prometheus, etc.)  

• Experience with analysis/troubleshooting tooling (i.e.  Wireshark, Splunk, PromQL., etc.)  

• Informed on industry trends and emerging technologies to ensure our automation and practices remains cutting-edge.  

• Experience of service management tooling (i.e. Jira, ServiceNow, etc.)  

 
Base salary range for this position is $150,000 to $200,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

The MongoDB Cloud Services Team is a diverse group of contributors working together to help our users manage MongoDB at global scale. The Cloud Team is responsible for MongoDB Atlas: our database as a service offering, and fastest growing product, which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.

The Backup Team delivers essential infrastructure to help our customers in their hour of need - providing the ability to quickly restore a massive, distributed database to any point in time at the click of a button. The Backup Team’s mission is to make MongoDB backup more reliable, faster, and also cheaper.  This team is responsible for the Backup Agent (Go), the extensive server-side infrastructure (Java) which manages 100s of TB of data and processes billions of operations per day, and the user interface (Javascript)  that customers use to manage their backups.  Common project themes are performance, scaling, and ease of use. 

We're looking for someone who is

• Skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.)
• Fond of chasing down tough problems in a distributed systems environment
• Cool under pressure - has wrangled production crises, and secretly finds this a little fun
• Experienced with Linux, and able to correlate application performance problems with underlying hardware limits
• Comfortable working across the stack of a modern web application
• Always striving to expand their knowledge
• Curious, collaborative and intellectually honest 

Responsibilities

• Work closely with product teams, considering the user’s perspective while helping the team achieve success
• Collaborate with team members over best practices and core concepts
• Hold yourself accountable to your actions, maintaining the balance between accomplishing goals with research & development
• Own our core values and adhere to them in your work, and
• Stay up to date with best practices in web engineering 

Success Measures

A Software Engineer will be successful in this role when they

• Are open, honest and willing to contribute and collaborate with others
• Develop confidence in finding their way across the platform
• Can take responsibility for the planning and execution of a major feature, representing Engineering when working with Product and Design
• Are willing to learn and contribute to all parts of the stack
• Are resolute in their approach to problem solving, balancing the needs of their team with the willingness to get to the bottom of issues

About MongoDB

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

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

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

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

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

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

Req ID: 1273405624

The Site Reliability Engineering team designs and builds the global infrastructure on which we deploy our services, focusing on the above mentioned flagship MongoDB Atlas platform. As our customers grow and globalize, our services must satisfy demands for low-latency requests around the globe, and comply with various data sovereignty requirements. The SRE Team’s mission is to build this increasingly complex infrastructure, while continually lowering the operational burden associated with it, and increasing our internal visibility into the health of the system. We are strong believers in infrastructure-as-code and self-healing systems. The SRE Team is fully integrated with all the other engineering teams, and the teams work closely together with a soft and traversable boundary between their areas of responsibility.

We are looking to speak to candidates who are based in New York City for our hybrid working model.

Responsibilities

• Design and build the infrastructure for a global cloud service that comprises hundreds of thousands of MongoDB clusters, processes a billion metrics per day, and replicates tens of billions of database writes to our backup service
• Design, implement, and troubleshoot the automation and monitoring of services that seamlessly spans the globe - including several cloud providers
• Become an expert in infrastructure performance, helping us optimize from the application level all the way through the firmware
• Build for resilience. Our goal is that nobody’s pager goes off, ever. Are we there yet? No. Are we really close? Very. While we work on that - participate in a weekly on-call rotation
• Improve our infrastructure capabilities, optimizing for cost, simplicity, and maintainability

Requirements

• 3+ years of experience running a mission critical service at scale in a Linux environment
• Firm grasp of at least one modern programming language, beyond basic scripting
• Familiarity with web and network protocols and standards (HTTP, TLS, DNS, etc)
• Bachelor’s degree in Computer Science or equivalent experience
• Experience writing automation tools & eagerness to "automate all the things"

Nice to have

• Experience building large applications from scratch, complete with CI/CD infrastructure
• Experience in networking, security, hardware or OS performance tuning
• Experience with at least one of the major cloud providers (Amazon Web Services, Google Compute, Microsoft Azure)
• Experience managing kubernetes clusters or some other container orchestration infrastructure
• Experience with observability of large scale distributed systems

About MongoDB

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

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

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

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

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

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

Req ID: 3263213607

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

The Site Reliability Engineering team designs and builds the global infrastructure on which we deploy our services, focusing on the above mentioned flagship MongoDB Atlas platform. As our customers grow and globalize, our services must satisfy demands for low-latency requests around the globe, and comply with various data sovereignty requirements. The SRE Team’s mission is to build this increasingly complex infrastructure, while continually lowering the operational burden associated with it, and increasing our internal visibility into the health of the system. We are strong believers in infrastructure-as-code and self-healing systems. The SRE Team is fully integrated with all the other engineering teams, and the teams work closely together with a soft and traversable boundary between their areas of responsibility.

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

Responsibilities

• Design and build the infrastructure for a global cloud service that comprises hundreds of thousands of MongoDB clusters, processes a billion metrics per day, and replicates tens of billions of database writes to our backup service
• Design, implement, and troubleshoot the automation and monitoring of services that seamlessly spans the globe - including several cloud providers
• Become an expert in infrastructure performance, helping us optimize from the application level all the way through the firmware
• Build for resilience. Our goal is that nobody’s pager goes off, ever. Are we there yet? No. Are we really close? Very. While we work on that - participate in a weekly on-call rotation
• Improve our infrastructure capabilities, optimizing for cost, simplicity, and maintainability

Requirements

• 3+ years of experience running a mission critical service at scale in a Linux environment
• Firm grasp of at least one modern programming language, beyond basic scripting
• Familiarity with web and network protocols and standards (HTTP, TLS, DNS, etc)
• Bachelor’s degree in Computer Science or equivalent experience
• Experience writing automation tools & eagerness to "automate all the things"

Nice to have

• Experience building large applications from scratch, complete with CI/CD infrastructure
• Experience in networking, security, hardware or OS performance tuning
• Experience with at least one of the major cloud providers (Amazon Web Services, Google Compute, Microsoft Azure)
• Experience managing kubernetes clusters or some other container orchestration infrastructure
• Experience with observability of large scale distributed systems

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

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

MongoDB is an equal opportunities employer.

Req ID: 3263213607

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.

Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale.

Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.

What You'll Do

• Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
• Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps
• Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
• Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
• Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region
• 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 significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• 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
• Are curious about LLM serving; prior inference or ML experience is not required
• 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

• Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
• Have experience working with external partners to align goals and deliver impact
• Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
• Solid understanding of multi-region deployments, geographic routing, and global traffic management
• Proficiency in Python or Rust

This is a hybrid role (4 days in office/1 day remote).

About your team:

Interactive Brokers (IBKR) is seeking a Platform Engineer – Support to join our Information Technology team. This role provides first-level technical support for Microsoft Windows platforms across the organization. You will assist business and development end-users via phone, email, and a centralized ticketing system to resolve or escalate IT issues.

This position requires strong technical knowledge, polished communication skills, and a high sense of urgency. Ideal candidates will demonstrate intermediate expertise in Windows and networking technologies, patience with less technical users, and the ability to thrive in a fast-paced environment.

What will be your responsibilities within IBKR: 

• Provide timely technical assistance for issues related to computer systems, software, and hardware in accordance with departmental SLAs.
• Support users via phone, email, in-person, and remote tools.
• Troubleshoot and resolve issues involving desktops, laptops, virtual machines, smartphones, scanners, printers, and other peripherals.
• Install operating systems, applications, drivers, and configure system settings per departmental standards.
• Diagnose root causes of technical problems and implement permanent solutions to prevent recurrence.
• Document resolutions in the department’s knowledge base and contribute to self-help resources for employees.
• Maintain detailed records of incident activity, including contact attempts and resolution notes, and escalate when necessary.
• Participate in departmental and firm-wide projects as assigned.
• Attend training sessions and team meetings to support productivity and development goals.
• Interface professionally with employees at all levels, including executives, to promote a positive image of the IT department.
• Communicate effectively with both technical and non-technical colleagues.

Which skills are required:

• Associate’s degree in Computer Science or related field preferred.
• Certifications such as A+, Network+, Microsoft, or VMware are a plus.
• Minimum 2+ years of technical support experience, or equivalent education and training.
• Strong organizational, prioritization, and multitasking abilities.
• Team-oriented mindset with a commitment to knowledge sharing.
• Ability to explain technical concepts to non-technical stakeholders.
• Excellent interpersonal, written, and verbal communication skills.
• Detail-oriented, flexible, and self-directed.
• Resourceful and proactive in solving problems independently.
• Ability to manage multiple high-priority tasks in a technical environment

Technical Competencies

• Strong knowledge of Microsoft Windows desktop operating systems.
• Proficiency in Microsoft Office Suite.
• Working knowledge of:
  • Entra ID and Azure services
  • Administrative scripting (PowerShell, Python, etc.)
  • Intune packaging and PC deployments
  • TCP/IP, Wi-Fi, DNS, DHCP
  • Active Directory environments and Office 365 cloud applications
  • Desktop imaging, application deployment, hard drive encryption, domains, and group policies

 Company Benefits & Perks

What You'll Do:

The Fleet Reliability Operations team is responsible for the day-to-day provisioning, management and uptime of CoreWeave’s ever-expanding fleet of server nodes. Playing a central role in CoreWeave’s growth strategy, this team is on the front line for configuration, updates and remote troubleshooting of our highest tier of supercomputing clusters and their networking, delivery platforms and tools dependencies. You will be in a daily battle with the forces of entropy to maximize the number of nodes CoreWeave can deliver to customers.

We are seeking curious, creative and persistent problem solvers to join our Fleet Reliability Operations team to help us drive batches of server nodes through our provisioning and validation processes while efficiently and effectively troubleshooting node or cluster problems as they arise. This individual will join a team of committed engineers working to deploy nodes as fast as they can be racked and turned on. 

• Configure and maintain large-scale high-performance supercomputing clusters running state-of-the-art GPUs
• Troubleshoot hardware and software issues; escalate and coordinate as needed with data center, network, hardware and platform teams to drive resolution
• Monitor and analyze system performance and take appropriate remediation actions for cloud health
• Approach your work with flexibility and optimism anticipating shifting business and technical priorities
• Create and maintain documentation of team processes, knowledge and best practices for system management
• Think critically about your day-to-day work and work collaboratively to improve team processes and efficiency
• Participate in oncall rotations which include after hours and weekend work

Who You Are:

Minimum Qualifications

• Strong understanding of Linux system administration and internals
• Ability to troubleshoot hardware and software issues and perform system maintenance tasks consistently and reliably
• Software development or scripting languages (bash, python, powershell, etc)

Preferred Qualifications

• 2 + years of experience troubleshooting or administering data center or on-prem infrastructure (servers, storage, network or a mix)
• Grafana, Prometheus, promsql queries or similar observability platforms
• Data center environments including server racks, HVAC systems, fiber trays
• Kubernetes administration
• HPC - administering GPU-related workloads
• Bachelor’s degree in a related field or equivalent experience 

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

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

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

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

The base salary range for this role is $83,000 to $110,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

About the Role

Together AI is building the Inference Platform that powers the world's most advanced generative AI models. Your role will be a critical bridge between cutting-edge research and real-world applications, focusing on making translating our internal model training research to production-ready deployment for our customers. This involves a deep commitment to data-centric development, meticulous hyperparameter tuning, and rigorous checkpoint evaluation before models ever hit production.

This role will involve understanding customer specific needs and fine-tuning models on our internal data recipe and their proprietary data. The goal is to transform general-purpose models into highly performant, specialized tools that solve real business problems. You will not be training foundation models from scratch but rather focusing on creating highly efficient, specialized models by working with dedicated GPU clusters.

Responsibilities

• Design and iterate on novel speculator algorithms, combining architectural innovations with carefully curated data to push the frontier of accuracy–efficiency tradeoffs.
• Be the critical link between raw data and a production-ready model, seeing your work directly impact our customers' success.
• Work in a fast-paced, high-impact role at the cutting edge of generative AI.
• Collaborate with a team of experts dedicated to solving real-world, high-performance challenges.
• You'll collaborate directly with customers to understand their needs, and work closely with our core inference and Applied ML research teams to integrate your work into the production platform.
• A culture of deep technical ownership where you are empowered to take on and solve challenging problems

Requirements

• A genuine love for data curation and processing, with a meticulous attention to detail. You believe that great models start with great data.
• Demonstrated ability to perform effective hyperparameter searches and understand the trade-offs involved in tuning models for specific tasks.
• Experience working with and building on top of existing training codebases. You are comfortable navigating complex code and contributing to its improvement.
• Strong attention-to-detail in evaluating model checkpoints to ensure they meet strict quality, performance, and reliability standards.
• Experience with Python and PyTorch.
• Familiarity with SLURM and/or Kubernetes clusters and experience submitting and managing jobs in a high-performance computing environment.
• Familiarity with modern LLMs and generative models.
• Basic understanding of distributed training frameworks (e.g., FSDP, DeepSpeed).
• Bachelor’s, Master’s degree, or Ph.D. in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.

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, ATLAS, 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 - $270,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

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

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

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

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

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. 

Our research spans:

• Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. 
• Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
• Imaging foundation models trained across the world's largest microscopy datasets
• Reasoning and agentic systems that connect frontier LLMs with biological foundation models
• Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
• Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join our Team!

As an ML Engineer, you'll join some of the strongest infrastructure engineers in AI, building the systems that connect everything together. The infrastructure problems you solve directly determine what science becomes possible. 

What You'll Do

• Work with high-dimensional scientific data formats and contribute to backend compatibility, format evaluation, and I/O performance benchmarking at petabyte scale.
• Define and shape the engineering patterns your team and collaborating researchers will build on for years; the abstractions you write today become the foundation others depend on at scale.
• Work at the intersection of AI systems and biological discovery, where the infrastructure problems you solve directly determine what science becomes possible.
• Deploy models to production and manage artifact tracking across models and datasets.
• Design and optimize GPU-native data loading pipelines for large-scale multi-dimensional tensor workloads, including profiling and resolving hardware utilization bottlenecks across multi-backend systems.
• Work on simplification and improvement of codebase abstractions to accelerate research momentum.
• Build and maintain primitives for pre-training infrastructure that ensure the reliability and continuity of large-scale training runs.
• Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring.
• Possesses the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training.
• Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration.
• Collaborate with partner researchers and engineers to deploy our technology within external infrastructure.

What You'll Bring

• Hands-on experience with PyTorch, including custom training loops, distributed training, or low-level performance work.
• Familiarity with GPU-native data I/O tools and large-scale tensor formats (e.g. Zarr, HDF5, TensorStore, or similar).
• Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Experience building or working with AI agent frameworks is a plus.
• A track record of building systems that other engineers and researchers depend on. Not just running experiments, but shipping infrastructure that scales.

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $150,000 to $350,000+ annually. Compensation ranges will vary based on job-related skills, level of experience, and knowledge. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time! 

#LI-Hybrid

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

Do you want to be a part of the clean energy movement? Are you passionate about improving our environment for this generation and those to follow? Are you ready to take on new challenges and collaborate with a future-focused team leading the way into new markets? Join Nexamp! 

This is where you can learn from industry leaders and become one yourself. It's fast-paced, mission-based work that challenges the status quo. Be on the team that's changing the world. 

What we’re looking for: 

Nexamp is looking to hire a Lead Commissioning Engineering to join it's Clean Energy Deployment team. In this role, you will be responsible for ensuring that Nexamp projects are safely and reliably energized on schedule, moving through project milestones, including, Mechanical Completion (MC), Permission to Operate (PTO) and Substantial Completion (SC). You will leverage deep SCADA and data acquisition expertise across utility-scale and distributed generation projects to validate that assets perform as modeled and as represented to financing partners, banks, and utilities, and to close gaps in our growing SCADA pipeline. By owning the technical review and implementation of SCADA and related controls, you will help turn projects on, maintain critical deadlines, and confirm that operational performance aligns with contractual, market, and internal performance requirements. 

We are supporting hybrid work out of either our Boston, Chicago, or NYC offices. You will report to the Director, Commissioning Engineering. 

What you’ll do:

• Independently leading the commissioning of PV, Battery Energy Storage Systems (BESS) from pre-energization through project operational turnover.
• Acting as a primary troubleshooting resource for the Commissioning Engineering and Field Commissioning teams, providing expert level support on common electrical, protection, and SCADA/communications issues surfaced during commissioning and early operations.
• Managing project commissioning schedules in partnership with Deployment, SCADA, Engineering, and external contractors, ensuring that inverter, DAS, SCADA, BESS, and protection system commissioning stays aligned with construction and interconnection milestones.
• Providing remote support and occasional field support for DAS, inverter, BESS and SCADA commissioning as well as witness tests.
• Reviewing and validating site performance of assets once live, including managing or executing performance testing and identifying and troubleshooting underperformance.
• Lead Data Acquisition System (DAS) and Supervisory Control and Data Acquisition (SCADA) system design for PV, BESS, and hybrid PV+BESS (DC- and AC-coupled) projects, including interpreting market, utility, and ISO SCADA/telemetry and controls requirements and coordinating the procurement and installation of required telecom, hardware, and software infrastructure.
• Assist in the development of SCADA engineering standards for utility scale applications.
• Mentor and train junior commissioning team members and field technicians to increase their capabilities.
• Support continuous improvement of networking equipment, products, and quality assurance processes by conducting research, contributing to commissioning best-practices documentation, and actively sharing experience and best practices.

What you’ll bring: 

• Bachelor's degree in Engineering or equivalent education/certification background.
• At least 7 years of experience designing and commissioning electrical power systems, or network design.
• At least 4 years of experience in renewables such as Solar, Wind, and Storage,
• Experience in controls engineering for utility-scale renewable/hybrid energy, PV/BESS, (AC-coupled/DC-coupled systems) preferred.
• Knowledge of inverter parameter setting procedures.
• Knowledge and experience with technical communications protocols (Modbus/TCP, DNP3.0, etc.), commonly used controls software/hardware platforms, and communication standards (MESA, Sunspec, etc.).
• Working knowledge and hands-on experience with various relays, meters, SCADA Gateways, and Data Concentrators, experience with programming of RTACs, preferred.
• Expertise in commissioning and resolving site technical issues, proven success in independently troubleshooting challenging SCADA related technical issues.
• MS Word, Excel, and PowerPoint software proficiency.
• Knowledge of industry standard design codes and electrical engineering and relaying principles.
• Commitment to Nexamp's mission and have a passion for solving tomorrow's climate crisis today.
• Demonstrated experience in effectively communicating information, ideas, and perspectives with people inside and beyond your organization.   
• Experience in showcasing initiative to make improvements to current work, processes, products, and services across the organization. We value accountability and an ownership mentality.
• Ability to ask appropriate questions, analyze data, identify the root causes of problems, and present creative solutions.
• Expertise in building strong internal and external relationships with customers and stakeholders, instilling trust and loyalty across the industry.
• Eagerness to develop a fundamental understanding of how Nexamp operates and then apply that knowledge effectively to inform business decisions.    

If you don’t meet 100% of the above qualifications, but see yourself contributing, please apply.

At Nexamp, our mission is to build the future of energy so it is clean, simple, and accessible for all. We are committed to providing a work environment free from discrimination. We are proud to be an equal opportunity employer. We do not discriminate against applicants on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, veteran status, or any other basis protected by law. By encouraging a culture where ideas and decisions come from all people, we believe it will help us grow, innovate, and be a part of environmental and social change.

You’ll love working here because:  

Not only will you get to take part in meaningful work and have the chance to change the world alongside innovative, dedicated, and motivated peers, but you will also have access to all the benefits that Nexamp offers! This includes our competitive compensation package; a 401(k) employer-match; health, dental, and vision insurance starting day one; flexible paid time off and holiday PTO; commuter benefits, and cell phone reimbursement. We have headquarters in Boston, MA and Chicago, IL, in addition to growing offices nationwide. We provide healthy snacks, coffee, service days and other volunteer opportunities, company outings, and more!  

Compensation  

The reasonably estimated salary for this role at Nexamp ranges from $140,000 - $155,000. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual bonus programs based on individual and company performance, non-annual sales incentive plans, or other non-annual incentive plans). Additionally, you may be eligible to participate in the Company’s stock option plan. Actual base salary may vary based upon, but is not limited to, skills and qualifications, internal equity, performance, and geographic location. 

Nexamp's People team manages all aspects of recruitment and hiring within our organization. We want to inform third-party recruiters, staffing firms, and related agencies that Nexamp does not accept unsolicited resumes. Resumes will only be considered from these entities if a signed agreement is in place and the People team explicitly authorizes external recruiting assistance for a specific position. Any unsolicited resumes received will be deemed the property of Nexamp. We want to emphasize that Nexamp is not liable for any fees associated with unsolicited resumes. 

About The Role

We are seeking a Senior Project Engineer in the Global Services division with expert experience in Cloud Security, IoT Systems, Networking, Linux systems, Security Surveillance, and Access Control. You will partner with the Global Services Manager and Territory Account Executives to service large and strategic customers within the Verkada footprint. In this role, you will interface with customers and partners on post-sales deployment project management, assisting with technical issues and providing expert-level configuration and training on Verkada Products. We need someone who will be highly motivated, able to learn quickly, and work independently while making an impact on the success of our Global deployments. 

We are committed to a thriving in-office culture. This role requires that you be on-site 5 days per week in New York City, NY.

What You'll Do

• Be the subject matter authority on the full Verkada suite of products and offerings and provide expert-level service to customers during the post-sales process
• Serve as the project management arm for customer accounts, ensuring successful deployments of Verkada products in the customer’s environment
• Magnify the value of Verkada products for customers through configuring and fine-tuning product features, use cases, and analytics; provide vendor-led training to customers
• Effectively serve as the technical voice to all levels of customer, from C-level executives to loss prevention managers and directors of IT
• Work directly with your Global Services Manager and Sales Account Executives to develop services strategies and workflows for the customer, as well as participate in cross-selling and up-selling opportunities
• Be a Product Technical Evangelist in training/educating partners, customers, and internal employees on the latest Verkada product offerings

What You Bring

• 4+ years of experience as a Sales Engineer, Technical Account Manager, Network Engineer, or Professional Services Consultant with a proven track record of working with Fortune 500 companies
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Information and Computer Technology, Networking, IT Security, or similar field 
• Ability to gain FedRAMP Compliance: Must be a U.S. Citizen or Permanent Resident (Green Card) 
• Strong background in Computer Networking: HTTPS/SSL, VLANs, TCP/IP, DNS, NAT devices, DHCP servers, firewalls, and software systems
• Outstanding written & verbal communication skills to efficiently articulate technical matters with customers and partners
• Entrepreneurial and positive attitude with a strong desire to learn
• Ability to adapt to an ever evolving workplace and company
• Genuine excitement for software/hardware products, Cloud Security, and IoT devices
• Travel up to 25%

Preferred Qualifications

• Industry certifications such as AWS, CCNA, CCDA, CCNP, MCSE, CEH, Security+, A+, Network+
• Experience working with Linux systems 
• Previous startup experience

Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Fertility Stipend 
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

Additional Information

• You must be independently authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this role, at this time.

About the Role

We are seeking a highly skilled and experienced Principal Engineer to join our Engineering team. As a Principal Engineer, you will be responsible for leading the design, development, and implementation of our brokerage systems. You will work closely with our engineering team and other stakeholders to create scalable, low latency, and highly available trading systems. 

What You’ll Do

• Responsible for the technical architecture, design and delivery of high performance, low-latency brokerage systems using Java/Golang
• Assesses the health and performance of software applications and databases and provides software and technology solutions
• Design, develop, and maintain REST APIs and microservices.
• Work with the Broker Dealer Operations teams to support and enhance the trading and backend system for multiple asset classes like Equities, Options, Mutual Funds etc
• Define specifications and develops components, modifies existing software stack, prepare test data, and prepares functional specifications
• Analyze Service and application performance using various programming
• languages, tools and techniques
• Develop and maintain automated testing frameworks and CI/CD pipelines
• Provide technical leadership and mentorship to the engineering team
• Provide guidance to non-technical staff in using software and hardware systems most effectively and efficiently
• Support applications with an understanding of system integration, test planning, scripting, and troubleshooting
  
  

What You’ll Need

• Bachelor’s degree in Computer Science or related field or equivalent experience
• At least 10 years of experience in Software Engineering with expertise in Java
• Must understand Test Driven Development and how to write effective unit/integration tests
• Strong understanding of CI/CD and automated testing frameworks
• Proficient in developing and maintaining robust REST APIs and implementing sophisticated event-driven architectures with Kafka and Kubernetes
• Background in financial technology or capital markets is required
• Proficient in No SQL, SQL and Stored Procedures such as in Postgres, MySQL
• Experience with Unix, Linux Operating Systems
• Knowledge of Jira, Git, Jenkins
• Experience with a 24x7, highly-available architecture
• Strong experience with Amazon Web Services
• Experience with Scrum and other Agile processes
• Strong communication skills
• Strong analytical and problem-solving skills
  
  Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.

Special Knowledge (Nice to Have, But Not Rqequired)

• Experience with Amazon Web Services
• Experience with Linux and writing scripts to extract and transform data
• Multiple years experience in fin-tech specifically Post Trade, Payment or SaaS

Hudson River Trading (HRT) is seeking a Senior Telecom Procurement Specialist to join our growing infrastructure team. In this role, you will help procure, build, and optimize the physical backbone of HRT’s global trading infrastructure. The ideal candidate is a commercial engineer who can negotiate fiercely, but also geeks out over optical hardware specs and treats an inventory database like a perfectly calibrated 3D printer. If you view a global network footprint as the ultimate hardware puzzle, love to tinker with hardware in your spare time, and get a thrill from mapping complex physical topologies – like understanding exactly how fiber runs under streets and across oceans – this role is for you.

Responsibilities

• Strategic Sourcing & Negotiation: Procure global circuits, dark fiber, colocation space, and custom wireless networks. Negotiate complex MSAs and SLAs with global carriers and niche infrastructure providers.
• Engineering Partnership: Act as the commercial bridge to our Network & Ops teams. You must speak the physical layer's language: optical budgets, DWDM hardware quirks, Layer 2/3 routing, and strict route diversity.
• Inventory & Automation: Partner with developers to build elegant, automated tooling for HRT’s infrastructure, and champion a "System of Record" mindset for inventory management. If messy spreadsheets make your eyes twitch, you'll fit right in. 
• Lifecycle & Optimization: Own the asset lifecycle, end-to-end. Gather requirements from trading teams, hold vendors accountable to delivery milestones, overhaul underperforming circuits, and retire legacy routes.

Qualifications

• 5+ years in telecom procurement, capacity management, or network operations. Proprietary trading, capital markets, or Tier-1 carrier experience is highly preferred.
• Deep conceptual understanding of fiber optics, Ethernet, and colocation, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation.
• Passionate about strict inventory databases, with the ability to learn new skills and help build elegant systems of record.
• Exceptional commercial acumen and contract redlining skills, with the ability to partner seamlessly with Legal to execute agreements efficiently and with minimal risk.
• Ability to work autonymously, with a can-do, "roll-up-your-sleeves" mentality.
• Ability to travel, build on-the-ground vendor relationships, and navigate regional market nuances.

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Junior Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Junior Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment. 

Responsibilities

• Manage worldwide Linux-based trading infrastructure by contributing to the planning and execution of complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Plan and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Improve documentation and reduce technical debt
• Benchmark the performance of the trading stack, working with subject matter experts across the organization
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 2+ years of relevant experience managing Linux systems: you can install packages, manage users, control services, and know where to look for system logs, and you understand TCP/IP networking, default gateways, and how to debug connectivity problems
• Familiarity installing and configuring Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Basic familiarity with configuration management tools, particularly SaltStack – some knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Proven programming experience: you don't just know what big-O notation is, you've also built working software and can explain and defend your design
• Basic shell (bash) scripting experience
• Experience using JIRA
• Strong cross-functional communication and organization skills
• Experience with production systems, as well as some cloud experience in AWS or GCP, is desirable but not required

The estimated base salary range for this position is 120,000 to 160,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

At Hudson River Trading (HRT), C++ is at the center of our live trading systems and research infrastructure. Our C++ engineers build the highly performant, fault-tolerant systems that power trading across global markets. HRT’s distributed system is on the Pareto frontier of latency and throughput, giving you limitless opportunity to leverage your deep knowledge of C++, OS internals, CPU architecture, and networking hardware and protocols. You’ll work side-by-side with researchers, traders, and hardware specialists, implementing solutions where every microsecond matters.

Our bottom-up approach to projects and our highly collaborative environment empower talented engineers to make significant contributions and see their impact daily. At HRT, you'll be challenged to solve complex problems in a fast-paced, highly competitive industry, surrounded by some of the brightest minds in the field.

C++ Engineers at HRT work on a wide variety of projects. Examples include: 

• Develop and optimize infrastructure for market data, order entry and execution logic, spanning tens of asset classes including options, equities, futures, crypto, and fixed income. 
• Design fault-tolerant, low-latency systems for live trading, including encoding/prioritization of data over WAN links and recovery from hardware failures.
• Profile and improve performance-critical code for both throughput and latency in production environments.
• Build and maintain infrastructure that drives products including client-facing wholesale and SDP platforms, distributed network filesystems, and scalable research workflows.
• Write software that interfaces with specialized hardware such as FPGAs and ASICs used in trading systems.

Profile

• You’re one of the top devs in your current organization, as measured by productivity, technical capability, and helpfulness to other devs.
• You are capable of solving complex engineering problems independently and providing technical advice for others in areas of your expertise. 
• You can make progress on long-term architectural projects while troubleshooting smaller tasks and bug fixes with agility.
• You can describe software designs at a high level (the abstract interface), low level (step-by-step algorithm), or anywhere in between. 
• You are always looking for ways to make systems better.

Qualifications

• 1+ years of professional work experience 
• Bachelor's degree in Computer Science, Computer Engineering, or related field
• Superior design, debugging, and problem solving skills
• Advanced C++ experience is required, daily use preferred
• Knowledge of UNIX operating systems (we use Linux), system/processor performance, and network communication

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

The Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technology to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.

These high performance designs require even higher performance verification. We are looking for experienced Design Verification (DV) engineers who are skilled at writing testbenches and building verification environments to exercise complex HDL. Our ideal candidate is not only an ace tester, but a practicing toolsmith. You know the EDA landscape and want to be part of a team actively working to rethink, redesign, and surpass the status quo. For example, members of our team are active maintainers of popular open source projects such as Slang, Verilator, and Cocotb.

FPGA and ASIC verification is part of an innovative, growing team at HRT which is integral to the success of our trading. You can expect to always be challenged by the ever-changing financial markets as you work to ensure correctness and robustness of our critical hardware in an extremely fast-paced, real-time environment. No financial experience is necessary.

Responsibilities

• Creating testbenches and tests for our hardware platform, leveraging a hybrid open-source/proprietary, highly flexible environment
• Writing detailed verification plans
• Quickly root-cause RTL bugs
• Collaborating directly with designers for rapid bringup of new projects and debugging of existing designs
• Managing test suites and continuous integration infrastructure
• Developing and improving open-source and internal tools

Qualifications 

• Superb debug and analytical skills 
• Professional experience (2+ years) in RTL functional verification for FPGA or ASIC
• Experience with code and functional coverage collection/analysis
• Experience with SystemVerilog and industry-standard frameworks such as UVM
• Experience with Python
• Comfortable in a Linux environment
• Familiarity with Verilator and/or Cocotb preferred
• C++ experience is a plus
• A bachelor’s degree in computer science, electrical engineering, or a related field

The estimated base salary range for this position is 175,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

The Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technology to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.

FPGAs and ASICs are critical pieces of our technology stack. We are looking for talented hardware developers to architect and design complex systems on a highly collaborative global team. In this role, you'll identify efficient ways to perform on-the-fly transformations of market data and implement models with complex data structures in RTL. Deep knowledge of SystemVerilog, FPGA internals and/or ASIC primitives, computer architecture, and vendor tool suites are essential to succeeding in this role. Expertise in networking protocols, CPU design, and/or machine learning accelerators is a big plus. No financial experience is necessary.

Responsibilities

• Collaborate with a cross-functional team to develop and deploy custom FPGA and/or ASIC solutions for a wide range of trading applications
• Investigate new technologies and tools
• Contribute to a nimble hardware development tech stack

Qualifications

• Ability to describe hardware designs at a high level, low level, or anywhere in between
• Brilliant design, optimization, debugging and problem solving skills
• Professional experience (2+ years) in RTL design for FPGA or ASIC
• Expert SystemVerilog development skills with a thorough understanding of the language 
• Expert on low level FPGA or ASIC architectures, with a deep understanding of what makes them "tick"
• Skilled in network communications, processing pipelines, and/or machine learning
• Working knowledge of Python and/or C++
• Comfortable in a Linux environment
• Strong verification experience
• Familiarity with AMD Vivado is a plus
• A bachelor’s degree in computer science, electrical engineering, or a related field

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Hudson River Trading (HRT) is seeking a Physical Design Engineer with a broad, versatile skillset to join our growing Hardware team. In this role, you will help deliver performance-critical ASICs and advance our physical design methodologies on leading-edge process nodes.

The Hardware team at HRT builds high-performance compute engines using FPGA and ASIC technology to drive low-latency trading decisions on global markets. We create custom solutions across the full spectrum of speed and sophistication, from bespoke circuits to world-class machine learning accelerators.

Responsibilities

• Drive design-for-test (DFT) methodologies and implementation 
• Contribute to physical implementation, from RTL handoff through GDSII on advanced process nodes 
• Partner on floorplanning and physical optimization for high-performance, latency-critical designs
• Close timing across multiple modes and corners while optimizing power, performance, and area (PPA)
• Diagnose and resolve physical design issues such as timing bottlenecks, congestion, and IR/EM violations
• Build, maintain, and improve repeatable, automated physical design flows
• Develop scripts and tooling to improve productivity, robustness, and insight into design behavior
• Collaborate closely with RTL, architecture, and other hardware engineers to influence design decisions early

Qualifications

• Experience working in high-performance ASIC design environments
• Strong fundamentals in digital logic, circuit design, and process technology
• Familiarity with DFT concepts and testing methodologies
• Strong scripting and automation skills (Python, Tcl, shell), including parsing and analyzing tool outputs
• Ability to design robust methodologies, diagnose complex failures, and improve physical design flows
• Applied use of statistics in analyzing timing, power, or design data (preferred)
• Hands-on experience with static timing analysis and timing closure methodologies
• Expertise using industry-standard physical design and signoff tools (e.g., Innovus, PrimeTime)

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Hudson River Trading (HRT) is seeking a Software Engineer focused on GPU reliability to join our Systems Development team. The Systems Development team builds and maintains the platform that is shared by all Systems teams to provision, monitor, and manage HRT’s server and network infrastructure. In this role, your main focus will be to develop tools in Python to analyze the performance of GPU hardware and build creative solutions to improve observability, reliability, and efficiency of the fleet. You’ll work closely with other engineering teams to deeply understand research and trading workflows and ensure that GPU infrastructure is utilized optimally. Strong Python skills and development experience are required, along with Unix experience and a background of managing GPU hardware at scale.

Responsibilities

This role offers a unique opportunity to make a significant impact on a critical part of our existing and growing infrastructure. Your responsibilities may vary day to day, but will include:

• Building and maintaining tools and software features to automate systems engineering workflows related to GPU management, monitoring, metrics collection, maintenance, and network configuration
• Troubleshooting software and hardware bugs on a fleet of GPU devices, including application, network, operating system, and/or kernel issues
• Working across HRT’s engineering teams to tune workloads and processes to use GPUs more efficiently 
• Analyzing GPU job statistics to identify trends and areas for improvement

Qualifications

Required:

• BS and/or MS in computer science or a related field
• 2+ years of relevant experience, including programming in Python and managing GPUs
• Experience using automation to solve problems and improve process efficiency
• Experience working with, troubleshooting, tuning, and deploying various types of GPU hardware
• Strong grasp of computer science fundamentals and software design patterns
• Solid understanding of Linux/UNIX operating systems 
• Familiarity with open-source software
• Ability to debug and analyze problems quickly
• Skilled at balancing multiple tasks while maintaining meticulous attention to detail
• Ability to operate effectively as a team player and also work independently 
• Ability to learn at a fast pace and apply new skills effectively

Preferred:

• Understanding of Debian operating system
• Familiarity with systems configuration management and monitoring technologies 
• Familiarity with continuous integration and continuous deployment tools and processes
• Understanding of networking protocols

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

Hudson River Trading (HRT) is seeking an IT Operations Engineer to join our Information Technology team. In this role, you’ll be responsible for providing technical support to HRTers around the globe, while also driving automation and engineering solutions to improve scalability and efficiency. You’ll work closely with IT leadership to deliver projects, meet service-level objectives, and continuously improve internal processes.

We’re looking for someone who thrives in a fast-paced environment and demonstrates strong communication and collaboration skills. The ideal candidate brings a positive attitude and a customer service mindset to deliver outstanding support to internal users. This role is expected to be onsite up to 80% of the time.

Responsibilities

• Design, build, and maintain automations with code to streamline recurring IT support tasks, reduce manual toil, and improve team scalability
• Deliver responsive and in-depth technical support for end users, serving as a high-level escalation point for advanced Windows endpoint issues
• Administer and support core IT platforms and SaaS tools including Okta, Google Workspace, Jira, Microsoft 365, Slack, Zoom, and others
• Partner with Technical Procurement to ensure accurate tracking, lifecycle management, and compliance of IT assets
• Co-own the onboarding process for user accounts and hardware in your region, ensuring a seamless experience for new hires
• Maintain and improve internal documentation to serve as a resource for the IT team and broader organization
• Participate in an on-call rotation for IT support coverage, which may include occasional weekend shifts

Qualifications

• 5+ years of IT support experience in fast-paced, tech driven environments
• Proficiency across macOS, Linux, and Windows operating systems, with strong technical intuition for diagnosing Windows performance issues, driver conflicts, and application errors
• Hands-on experience administering core SaaS platforms such as Okta, Google Workspace, Jira, Slack, and Zoom
• Familiarity with code version control systems like Git, and an understanding of developer workflows including CI/CD tooling
• Strong analytical and problem-solving skills; able to identify root causes, detect patterns, and work independently
• Customer-focused mindset with a proactive, positive attitude and strong communication skills
• Ability to lift and move equipment up to 25 lbs

Annual base salary range of $100,000 to $150,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign-on and discretionary performance bonus may be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.

The Research and Development (R&D) team at Hudson River Trading (HRT) builds and maintains the computers, networks, data storage, operating systems, and software that allow our trading strategies and research environment to operate worldwide 24/7. The Storage team within R&D manages hundreds of petabytes of storage to facilitate industry-leading AI/ML-based trading.

We are seeking an experienced Storage Engineer who enjoys being challenged, appreciates an open and collaborative organizational structure, and thrives in a fast-paced environment. In this role, you will manage our existing storage infrastructure and be responsible for the design, automation, and management of future storage solutions to support our large-scale research environment. This is an exciting opportunity to join a small team focused on HPC storage and help set the direction for storage solutions at HRT. You’ll have freedom to research, propose, and test new hardware and software to improve the performance and usability of our research environment.

Responsibilities

• Design, deploy and manage a variety of storage solutions
• Troubleshoot complex storage, OS, and networking issues
• Build tools to improve the performance and monitoring of storage clusters
• Research and experiment with new storage solutions

Qualifications

• Knowledge of distributed file systems used for large-scale cluster computing (Lustre, CephFS, GPFS, etc.) 
• Ability to design a home grown NAS storage solution with redundancy and high availability
• 3+ years of experience in HPC-like environments with large scale storage deployments greater than 1PB
• 3+ years of experience with scale-out enterprise storage solutions such as Isilon, VAST, NetApp, and Pure
• Extensive experience with Linux troubleshooting and NFS
• Strong knowledge of Linux, ZFS, and other Linux filesystems
• Proficient in Python and shell scripting 
• Strong cross-functional communication skills
• Ability to analyze and solve problems quickly in a fast-paced environment
• Exceptional time management skills and the ability to balance independent and collaborative workflows 
• Eager to learn and apply new skills

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment.

Responsibilities

• Design, manage, automate, and optimize worldwide Linux-based trading infrastructure by planning and executing complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Design and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Remain unfazed by production-critical issues, resolving them quickly and efficiently
• Benchmark and tune the performance of the trading stack 
• Hold vendors accountable on performance and reliability issues, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 7+ years of relevant experience supporting a live production environment (especially trading)
• Expert in installing, configuring, and troubleshooting Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Proficiency with configuration management tools, particularly SaltStack – strong knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Advanced programming experience focusing on automation and integration; Python is strongly preferred
• Advanced shell (bash) scripting experience
• Significant experience managing and debugging production trading services
• Strong cross-functional communication and organization skills
• Proven ability to manage assigned projects efficiently, ideally using JIRA
• Architect-level cloud experience in AWS or GCP is desirable, but not required

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Hudson River Trading (HRT) is looking for Systems Engineers to join our growing Research & Development team. This team builds and maintains exceptionally large and growing distributed compute clusters, multi petabyte-scale storage layers, operating systems, automation software, and development tools. We have incredibly large GPU and CPU compute clusters, larger than most national labs. We are building or have built our own on-prem data centers globally and have teams focused on industry leading compute, network, storage and power optimization. Our people and our compute capabilities are our two most important differentiators, and that is where we are investing the most.

As a full-time Systems Engineer, you’ll work on projects that impact our live trading and research and allow them to run worldwide 24/7. A typical day could include scaling and keeping our HPC environment running smoothly or designing and building services to improve HRT’s research environment, but responsibilities are broad! Your day could also consist of hardware and software installation and configuration, remote administration, monitoring, new hardware and software testing, automation and tool development, and performance tuning. 

Responsibilities

• Plan/execute technical projects to make our Linux trading systems (hardware, network, OS, etc) faster, adaptable, and more maintainable
• Manage and optimize large scale distributed compute/HPC clusters
• Automate/troubleshoot a broad range of technical infrastructure 
• Troubleshoot hardware and software issues
• Operating system installation and upgrading
• Performance testing and tuning
• Scripting to automate repetitive tasks
• Working with vendors to resolve issues

Qualifications

• 5+ years of relevant experience
• Expertise in installation, configuration, and troubleshooting of Linux systems
• Comfortable using Linux/UNIX command line tools
• Experience with configuration management tools
• Python and Shell scripting experience
• Attention to detail needed to manage and debug production services
• Strong communication and organization
• You enjoy tinkering with technology in your spare time
• Exceptional communication skills - this role will require cross-collaboration with various stakeholders across HRT
• You are resourceful, have a sense of urgency, and are motivated to make things better and to always be learning
• Ability to context switch to work on several projects at once 
• Experience and knowledge of Debian/Ubuntu is a plus
• GPU Optimization experience is a plus

The estimated base salary range for this position is 150,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking curious, thoughtful engineers who enjoy working with data and solving real-world technical problems to join our growing Market Structure Analysis team. In this role as a Quantitative Latency Engineer, you’ll apply data-driven methodologies to understand and optimize trading technology and real-time interactions with financial markets across the globe, spanning traditional and crypto exchanges. No prior finance experience is needed!

Responsibilities 

• Analyze time series network and exchange protocol captures
• Become familiar with the details of specific markets, attend presentations and liaise with exchange counterparts
• Research exchange features, capabilities, and architecture
• Automate collection and visualization of metrics that quantify efficacy of exchange communication
• Formulate and conduct controlled experiments that measure impact of calculated changes to HRT’s trading infrastructure
• Communicate ideas, requirements, and results across disparate teams
• Improve fill rate of our hardware-based trading strategy
• Reduce incidence of cancel-reject responses
• Investigate and report details of various latency-sensitive exchanges

Profile 

• You possess a degree in Data Analytics or a related field
• You can collect and interpret network and/or financial market data
• You have professional experience in latency reduction, preferably in finance
• You have a basic understanding of proprietary trading and exchange technologies

Skills 

• Proficiency in data analytics including statistics, data visualization, and working with large data sets
• Basic understanding of TCP and UDP network protocols
• Extensive experience with Python and relevant data libraries (Pandas, Numpy/Scipy)
• Some familiarity with the details of modern computer systems and networks
• Experience with real time exchange market data and order entry a plus

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is looking for GPU Systems Engineers to help scale and evolve our exceptionally sophisticated HPC/AI research environment. 

Joining our Research and Development team, you will collaborate with experts responsible for the compute, storage, operating systems, and automation tools that enable our trading and research to run 24/7 across the globe. We design, grow, and operate infrastructure at a large scale, including triple-digit petabyte-scale storage and massive CPU and GPU clusters in globally distributed data centers. As such, this is a high-impact role with broad scope, from HPC/AI cluster design and performance tuning, to troubleshooting and automation for thousands of nodes.

Responsibilities

• Design, build, and optimize large-scale distributed GPU compute clusters
• Identify and resolve GPU workloads’ performance bottlenecks across compute, storage, and networking layers
• Collaborate with research and development teams to profile, benchmark, and fine-tune GPU-based workloads
• Automate system deployment, monitoring, and troubleshooting across thousands of nodes
• Collaborate with research, and engineering teams to support evolving workloads
• Own critical infrastructure projects — from concept to implementation and support
• Test and deploy new hardware and software, and partner with vendors to resolve complex issues

Qualifications 

• 5+ years of experience in large-scale Linux systems engineering in HPC, AI or distributed infrastructure roles.
• Extensive experience in Linux system installation, performance tuning, and troubleshooting
• Expertise in troubleshooting distributed GPU workloads
• Deep knowledge around GPU optimization and performance  
• Proficiency in Python scripting and automation frameworks 
  • CUDA or C/C++ experience is a plus
• Experience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink 
• Familiarity with configuration management tools (e.g. Salt, Ansible, Puppet, Chef)
• Comfortable diagnosing complex system issues at the hardware, OS, and network levels
• Strong communication and organizational skills; able to collaborate across diverse technical teams
• Thrive in fast-paced environments and excited by high-impact work

The estimated base salary range for this position is 150,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. 

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

About the role

Anthropic’s mission requires the ability to defend our compute resources against all types of adversaries. Meeting that bar requires more than trustworthy hardware, it requires a software stack to consume the trust primitives the platform produces: device identities, attestation evidence, integrity manifests, DICE chains, topology claims, debug-state assertions, encryption posture, etc.

This role makes sure that all the security-relevant system state that needs to be attested to is properly accounted for in a robust and comprehensive manner, and used appropriately for authorization decisions in production.

Key responsibilities

You will be the technical owner of Anthropic's platform trust integration surface, the host-side stack that ingests trust primitives produced by hardware and converts them into production gates for workloads. Concretely:

• Attestation verification pipeline. Consume trusted reference integrity manifests for every component in the TCB. Validate measurements end-to-end, surface drift, and gate workload placement on attestation outcomes.
• DICE chain consumption. Integrate with iRoT-rooted DICE chains where exposed, and define what Anthropic requires of partners where they aren't yet.
• Dynamic root-of-trust and late-launch integration. Working with other security engineers to ensure Anthropic's host software stack securely leverages DRTM primitives, and work with silicon vendors and firmware maintainers to address gaps in relevant technologies.
• Interconnect topology validation. Build the tooling to validate interconnect topology claims for multi-node workloads and catch deviations before they reach production.
• CPU and interconnect encryption posture. Validate that CPU and interconnect encryption are enabled and attestable on a given system; own Anthropic's position on performance tradeoffs and multi-node attestation integration work.
• Debug-disable verification. Define automated mechanisms to prove hardware debug mechanisms are disabled in production.
• Ensure devices/peripherals are appropriately covered. Accelerators are an essential component of AI workloads. We must ensure that platform trust extends to all relevant components, and the channels between them, too.

This is an IC engineering role not a PM role. You will write code, own services, and be accountable for the correctness of Anthropic's platform trust pipeline in production. You'll operate at the interface between Platform Security Engineering and the rest of Anthropic.

Minimum qualifications

• Deep systems software engineering experience with kernel, firmware, or low-level platform code.
• Understanding of hardware as encountered in modern server platforms, and implications of trust relationships within.
• Working knowledge of modern attestation primitives: RoTs, TPMs, DICE, SPDM, measured boot, DRTM across major CPU architectures, reference integrity manifest best practices, remote attestation protocols and design patterns.
• Ability to read vendor documentation critically and identify gaps between what the spec claims and what can actually be relied on in production.
• Strong ownership disposition: comfortable being the one accountable for a capability landing, including when it requires pushing partners.
• Supply-chain attestation work (SPDM, TCG provenance, pre-delivery identity bootstrapping beyond TOFU).
• Familiarity with relevant standards from TCG (TPM, DICE, etc.), IETF (RATS WG, SEAT WG, etc.), DMTF (SPDM, etc.), etc.
• History of shipping security-critical code in production at scale.

What You’ll Do:

The Enterprise Security team at CoreWeave is responsible for securing how our people work every day—identity, endpoints, networks, and SaaS—so the company can move fast without compromising safety. This team owns the controls, guardrails, and automation that keep our workforce, contractors, and critical business applications protected in a modern, cloud-native environment.

If you’re excited about zero trust, phishing-resistant MFA, and building secure-by-default experiences that actually make people more productive, this is the team to join.

About the Role:

As a Senior Security Engineer, Enterprise Security, you’ll design and ship the security controls that underpin CoreWeave’s workforce and enterprise stack. You’ll lead initiatives across identity, access management, device and endpoint security, and SaaS security—partnering closely with IT Engineering, Endpoint, Network, and other security teams.

Your day-to-day will blend hands-on engineering (writing code, building integrations, tuning controls) with architecture and program ownership (setting standards, defining patterns, and driving adoption across teams). You’ll be responsible for turning high-level objectives—like “implement zero trust for workforce access” or “deploy phishing-resistant MFA at scale”—into concrete designs, automation, and measurable risk reduction.

In this role, you will:

Engineer modern identity and access controls

• Design, implement, and operate workforce identity solutions (e.g., Okta/Entra and other IdPs) including SSO, MFA, conditional access, and lifecycle automation via SCIM.
• Develop and roll out phishing-resistant MFA for high-value accounts and critical access paths (e.g., FIDO2/WebAuthn, hardware keys, device-bound authenticators).
• Define and maintain RBAC/IAM patterns for enterprise applications (role models, groups, entitlements, JIT access, and approvals).

Implement zero trust for workforce and enterprise access

• Design and deploy controls that combine user identity, device posture, network context, and application sensitivity to enforce least-privilege access.
• Partner with Network and Infrastructure teams to integrate mTLS, service identity, and policy-based access into internal services and admin interfaces.
• Help transition from legacy perimeter models to zero trust network access (ZTNA) patterns for employees, contractors, and third parties.

Secure SaaS and collaboration platforms

• Evaluate, onboard, and harden SaaS applications (Google Workspace, Microsoft 365, Slack, HRIS, ticketing, and other business apps) to align with enterprise security policies.
• Implement and tune controls such as SCIM provisioning, data access policies, DLP, sharing controls, and audit logging across the SaaS estate.
• Partner with business and IT owners to ensure new SaaS applications meet baseline security standards before adoption.

Harden endpoints and the extended workforce

• Collaborate with Endpoint/IT teams to define and enforce baseline configurations for laptops, workstations, and other managed devices via MDM and EDR.
• Design secure patterns for contractor and vendor access, including device requirements, identity separation, and time-bound access.
• Support investigations and incident response related to identity, endpoint, and SaaS domains.

Automate and instrument everything you can

• Build automation and self-service experiences for access requests, approvals, access reviews, and break-glass workflows.
• Develop integrations between IdPs, HRIS, ticketing, and other systems to minimize manual toil and reduce identity-related error rates.
• Define and instrument metrics for enterprise security (e.g., MFA coverage, zero trust policy enforcement, joiner/mover/leaver SLA adherence, SaaS posture).

Partner on detection, response, and governance

• Work with Security Operations and SIEM teams to ensure robust visibility into identity, device, and SaaS activity, and to build high-signal detections.
• Contribute to policies, standards, and reference architectures that encode enterprise security expectations.
• Author clear documentation and runbooks that make it easy for teams to consume and operate the controls you build.

Who You Are:

Minimum Qualifications

• 5+ years of experience in enterprise security, identity and access management, or closely related security engineering roles.
• Strong, practical understanding of modern IAM concepts: SSO, federation, RBAC/ABAC, JIT access, least privilege, and separation of duties.
• Hands-on experience implementing and operating SSO and workforce identity with platforms such as Okta, Entra ID, or equivalent IdPs.
• Deep familiarity with SAML, OAuth 2.0/OIDC, and SCIM, including real-world experience integrating these protocols with third-party SaaS and internal apps.
• Demonstrated experience designing and rolling out MFA, ideally including phishing-resistant approaches (FIDO2/WebAuthn, hardware security keys, device-bound authenticators, step-up authentication).
• Experience designing and deploying zero trust or context-aware access controls (e.g., device trust, network segmentation, mTLS, ZTNA) in hybrid or remote-friendly environments.
• Proficiency in at least one modern scripting or programming language (e.g., Python, Go) used to build automations, integrations, or internal tooling.
• Experience securing and integrating business-critical SaaS (e.g., Google Workspace, Microsoft 365, Slack, Atlassian, HRIS, ticketing) including SCIM provisioning, access reviews, and audit log ingestion.
• Familiarity with MDM and endpoint security tooling (e.g., Jamf, Intune, EDR platforms) and how they tie into identity and access decisions.
• Exposure to SIEM/detection ecosystems (e.g., Elastic) and experience collaborating with detection & response teams on identity/endpoint/SaaS detections.
• A track record of owning cross-functional projects from design through adoption, with an emphasis on measurable risk reduction and user experience.

Preferred

• Experience working in high-growth or hyperscale environments where security must keep pace with rapid headcount and tooling expansion.
• Hands-on experience with zero trust network access or secure access products (e.g., ZTNA, secure web gateways, or identity-aware proxies).
• Familiarity with enterprise security standards and frameworks (e.g., SOC 2, ISO 27001, NIST 800-53) and mapping enterprise controls to these requirements.
• Experience with SaaS security posture management (SSPM), CASB, DLP, or insider risk tooling focused on collaboration platforms and data access.
• Experience building or contributing to internal security tooling (e.g., access review automation, JML workflows, policy-as-code).
• Participation in security communities, standards groups, or open-source contributions in IAM, zero trust, or enterprise security.

Wondering if you’re a good fit?

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

• You love to build secure-by-default experiences that remove friction instead of adding gates, and you think deeply about usability when you design controls.
• You’re curious about how identity, devices, networks, and SaaS all intersect in real-world zero trust architectures—and you like “drawing the owl” where clear patterns don’t yet exist.
• You’re an expert in turning vague risk concerns into concrete requirements, automation, and metrics, and you enjoy collaborating across Security, IT, and business teams to get it done.

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

What You’ll Do

To accelerate datacenter deployment and management, CoreWeave is expanding its firmware engineering team to focus on developing and maintaining OpenBMC-based firmware for our next-generation Baseboard Management Controllers (BMCs).

As a Senior Firmware Engineer, you’ll design, implement, and maintain embedded firmware features that enable secure, scalable, and reliable control across CoreWeave’s high-performance compute infrastructure. You’ll work independently on complex components, collaborate closely with cross-functional teams, and help set best practices for firmware quality and performance.

Key Responsibilities

• Design & Implement: Develop and enhance OpenBMC firmware in C++ for CoreWeave’s custom server platforms, contributing to key subsystems such as sensor management, power and thermal control, networking, and system monitoring.
• Integrate & Debug: Collaborate with hardware design, platform software, and reliability teams to integrate firmware with new hardware and validate performance across diverse environments.
• Optimize: BMC Performance and Harden Security
• Root Cause Analysis: Perform deep system-level debugging using tools such as GDB, JTAG, or logic analyzers to resolve cross-layer issues between hardware, firmware, and OS.
• Automate & Validate: Contribute to continuous integration and automated testing frameworks for OpenBMC build and validation.
• Document & Share: Maintain clear technical documentation and participate in design reviews to ensure consistency and maintainability across the firmware codebase.
• Collaborate Broadly: Partner with other ICs and technical leads across CoreWeave’s infrastructure engineering, hardware design, and operations teams to align firmware capabilities with platform and datacenter goals.
  
  

Who You Are

Minimum Qualifications

• Experience: 4+ of professional experience in firmware or embedded systems development, including direct work with Linux-based OpenBMC firmware.
• Education: Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

Technical Skills:

• Proficiency in C/C++ for embedded systems.
• Hands-on experience with OpenBMC, Yocto Project, and embedded Linux environments.
• Familiarity with hardware interfaces and protocols (I2C, SPI, UART, GPIO, IPMI, DMTF Redfish)
• Experience with hardware bring-up, board-level debugging, and sensor integration.
• Comfort with Linux kernel configuration, device trees, and BSP-level integration.
• Working knowledge of source code control system such as Git
• Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles.
• Basic scripting skills in Python or Bash for build automation and validation.

• Strong problem-solving and analytical thinking; able to break down complex system-level issues.
• Communicates effectively with peers across hardware, firmware, and operations teams.
• Self-driven with a focus on delivering high-quality, maintainable code.
• Thrives in a fast-paced environment and balances multiple priorities effectively.

Preferred Qualification

• Experience developing CI/CD pipeline for firmware builds and regression testing
• Exposure to large-scale datacenter or HPC environments
• Contributions to open-source firmware projects or upstream Linux development

The base salary range for this role is $153,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

On this team, you will:

• Design servers, develop and review board designs.
• Collaborate with exceptional engineers developing cutting-edge AI/ML hardware
• Review JDM’s high speed design, including reviewing signal integrity simulations, including running your own simulations 
• Review power designs and work closely with power engineers 
• Debug hard issues and feed the lessons learned back into design

About the role:

In this role, you will:

• Conduct schematics, board design and power design reviews
• Take design from concept to mass production
• Collaborate closely with others from the development teams to build a solid quality and high performance and reliable product
• Work closely with manufacturing teams
• Actively participate in architectural discussions and providing insightful hardware design recommendations
• Mentor and grow junior engineers 

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Who You Are:

• At least 5 years of internal design experience developing complex hardware systems with high speed design interfaces
• Strong skills in electrical board design
• Solid experience with high speed interfaces
• Required experience working with interdisciplinary teams on product design from concept to production, and experience with server technologies like thermal, mechanical, power, and signal integrity are also required.
• Excellent ability to negotiate and reach consensus with developers and fellow colleagues from interdisciplinary teams, as well as excellent documentation skills
• Strong understanding of latest PCB, PCBA and system assembly manufacturing capabilities, including testing.
• Strong debug skills of complex issues 
• Strong understanding of design for mass manufacturing and reliability
• Bachelor’s degree in Engineering or a related technical field required

Preferred:

• Experience in the hyperscaler space, specifically GPU systems
• Prior experience with ODM/JDM design model
• 10+ years of hardware development experience with a focus on servers 
• Excellent ability to use high speed SI simulation tools

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

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

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

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

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

Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the Role:

As a Senior Cloud Support Engineer at CoreWeave, you'll be on the front lines of a technological revolution, empowering our customers to harness the full potential of our advanced Kubernetes-powered HPC cloud infrastructure. You'll be hands-on, collaborating with engineers and researchers to resolve issues that impact high-profile, mission-critical applications and cutting-edge AI training workloads. Your contributions will be pivotal in ensuring seamless performance, reliability, and success for our customers, positioning you at the very core of transformative technologies reshaping industries worldwide at a company that is truly one of a Kind.

In this role, you will:

• Guide and mentor team members in developing their technical skills and troubleshooting capabilities across all disciplines supported by CoreWeave.
• Provide real-time feedback and coaching, reviewing tickets to identify opportunities for improvement and ensure quality assurance (QA).
• Develop and deliver training sessions to improve the team’s proficiency and efficiency in resolving customer issues.
• Use technical expertise to investigate, debug, and resolve customer-impacting issues with the curiosity required to uncover and understand root causes.
• Maintain high customer satisfaction through swift, accurate, and empathetic high-touch support communications, as well as established best practices.
• Help design and implement troubleshooting best practices to ensure fast, accurate client resolutions.
• Contribute to refining processes, workflows, and playbooks for handling complex customer challenges.
• Serve as a technical escalation point for high-priority escalations or complex cases, modeling effective problem-solving approaches.
• Lead the creation of knowledge-sharing resources, including documentation, tutorials, and how-to guides.
• Enhance the support team’s knowledge of CoreWeave’s products and services through continuous learning initiatives.
• Includes consistent shift work with participation in on-call rotations. Occasional after-hours and holiday coverage required.

Who You Are:

• Have a Bachelor’s degree in Information Science / Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, OR equivalent experience in a technical position
• At least 5+ years of experience in cloud support, systems administration, or related technical support-focused roles
• Proven hands-on work experience with Kubernetes
• Experience with networking, load balancing, storage volumes, observability, node management, High-Performance Computing (HPC), and Linux system administration
• Proven ability to mentor team members, foster technical growth, and improve team-wide capabilities through guidance and feedback
• Experience with observability tools such as Grafana
• Strong troubleshooting skills, with experience resolving complex customer issues and driving quality assurance through ticket reviews or similar processes
• Demonstrated success collaborating with cross-functional teams to refine workflows, implement best practices, and advocate for necessary tools or process changes
• Excellent written and verbal communication skills, with a track record of simplifying complex concepts for diverse audiences
• Strong technical presentation skills, with experience delivering precise, engaging, and informative presentations to technical and non-technical audiences, effectively showcasing complex concepts and solutions

Preferred:

• CKA Certified 
• Demonstrated experience with training, coaching, and creating onboarding materials.
• Operates in a fast-paced, global, 24/7 support team environment
• Ability to collaborate across different time zones
• On-site office environment, hybrid, or remote options depending on location
• Flexible to travel up to 10% (~25 days/year)

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

• You love to dive into problems, test for solutions, and enjoy engaging with customers.
• You’re curious about AI.
• You’re an expert in providing outstanding technical support and have strong competencies in Kubernetes and Linux.

Why CoreWeave?

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

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

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

What you'll do:

CoreWeave is seeking a highly skilled and motivated HPC Performance Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will play a crucial part in the design, development, and optimization of our bare-metal systems from POST through joining a Kubernetes cluster. The team’s primary responsibilities include maintaining a custom Linux kernel, various OS images (Ubuntu-based), the virtualization stack (kubevirt/qemu/vfio), and the container/pod runtime stack (containerd/nydus/kubelet). You will collaborate closely with cross-functional teams, up stack engineering teams, and stakeholders to ensure our low-level software stack is performant in the context of hardware updates; and providing data, metrics, dashboards, and analysis to substantiate performance assertions.

Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet

Our Team’s Stack:

• Python, Go, bash/sh, C
• Prometheus, Victoria Metrics, Grafana
• Linux Kernel (custom build), Ubuntu
• Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Docker, kubernetes (k8s), KubeVirt, containerd, kubelet

About the role:

• Develop and maintain tools for establishing systems performance baselines 
• Develop and maintain performance regression analysis testing automation
• Design and maintain performance regression test pipelines for HPC workloads
• Debug and Tune fabric-level performance to ensure low-latency high throughput configurations
• Development of telemetry for performance analysis across distributed clusters of servers
• Triage and fix performance issues in Linux
• Collect data, produce metrics and visualizations that communicate performance information compared to benchmarks; this data should lead to appropriate business decisions and toward greater automation that improves customer experience in relation to performance
• Define Linux and OS requirements, specifications, and system architecture in relation to systems performance, in collaboration with cross-functional teams. Along with these responsibilities there will also be cross team collaboration to triage and resolve bottlenecks

Who you are:

• 5+ years of professional experience in Systems/HPC Performance Engineering, Benchmarking, and/or Validation.
• Strong experience with MPI workloads and distributed system performance analysis
• Familiarity with RoCE, InfiniBand, and GPUDirect/Data Direct I/O, NUMA, etc in HPC workloads
• Hands-on use of public HPC benchmarks (HPCC, HPL, OSU, MLPerf-HPC, STREAM, IO500)
• Extensive, deep experience in Linux internals
• Fluency with a programming language geared toward automation (Python preferred, but others possible)
• Experience writing robust, testable code
• Experience diagnosing and fixing systems performance issues
• Experiencing with implementing automation testing
• Ability to effectively prioritize and communicate proposed features and fixes in a remote-employee environment
• Strong passion for automation, with a commitment to automating processes comprehensively
• Excellent documentation skills and attention to detail
• Strong analytical and problem-solving abilities

Preferred:

• Familiarity with QA/QE best practices
• Familiarity with Golang
• Opinions about software version control and team collaboration 
• Experience working in Cloud environments
• Experience as a software engineer writing large-scale applications
• Experience in open-source community software development
• Experience with machine learning is a huge bonus

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

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

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

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

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

What You’ll Do:

CoreWeave is seeking a highly skilled and motivated Systems Kernel Engineer to join our HAVOCK Team, reporting into the Manager of Systems Engineering. In this role, you will be a key contributor to the stability, performance, and evolution of CoreWeave’s Linux based infrastructure. As a kernel generalist, you will be responsible for debugging kernel-level issues, analyzing and fixing crashes, panics, dumps, and upstreaming fixes and features that improves the performance and reliability of our stack.

This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage.

Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet

Our Team’s Stack:

• Python, Go, bash/sh, C
• Prometheus, Victoria Metrics, Grafana
• Linux Kernel (custom build), Ubuntu
• Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs
• Docker, kubernetes (k8s), KubeVirt, containerd, kubelet

Focus Areas:

• Kernel Debugging – Analyze kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes.
• Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement).
• Stack-Wide Support – Ensure kernel support and stability across:
• Virtualization (KubeVirt, QEMU, vFIO)
• Container runtimes (containerd, nydus, kubelet)
• HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand)
• Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs.
• Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.

About the role:

• Triage and fix kernel crashes and performance regressions.
• Develop, test, and upstream kernel patches relevant to CoreWeave’s hardware/software environment.
• Collaborate with hardware vendors and the Linux community on feature enablement.
• Implement diagnostics and tooling for kernel-level observability.
• Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads.
• Provide kernel-level expertise during incident response and root-cause investigations.

Who You Are:

• 5+ years of professional experience in Linux kernel engineering or systems-level development.
• Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers).
• Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump.
• Strong C programming skills with the ability to write maintainable and upstream-quality code.
• Experience working with kernel modules, drivers, and subsystems.
• Strong problem-solving abilities with a “full-stack” systems perspective.

Preferred:

• Contributions to the Linux kernel or related open-source projects.
• Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes.
• Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning).
• GPU/DPU bring-up and driver experience.
• Experience in HPC or large-scale distributed systems.
• Familiarity with QA/QE best practices
• Experience working in Cloud environments
• Experience as a software engineer writing large-scale applications
• Experience with machine learning is a huge bonus

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

Metal Net Network Engineer

We are seeking a skilled and driven NVLink Engineer to support large-scale data center deployments. In this role, you'll be at the forefront of cutting-edge infrastructure technologies, ensuring the optimal performance and stability of NVLink systems. You’ll collaborate with global teams and customers, troubleshoot complex issues and help drive operational excellence.

Key Responsibilities:

• Support the deployment of NVLink systems across large data center environments.
• Support the full lifecycle management of NVLink hardware and software components.
• Build and maintain tooling to automate and streamline the deployment, monitoring and troubleshooting workflows.
• Diagnose and resolve performance, connectivity and stability issues in complex environments.
• Collaborate with internal teams and external customers worldwide.
• Participate in a rotating on-call schedule to ensure 24/7 support coverage.
  
  

Required Qualifications:

• Solid understanding of networking fundamentals
• Proven background in troubleshooting network and server hardware at the component level.
• Strong Linux system administration skills.
• Proficiency in at least one language (e.g., Python, Go).
• Proven ability to troubleshoot and debug complex application issues.
• Excellent communication and collaboration skills.
• Experience with Ansible.
  
  

Preferred Qualifications:

• Experience with InfiniBand networking.
• Experience managing large-scale environments (1,000+ switches or nodes).
• Prior experience with NVLink technologies.
• Knowledge of Redfish API for system management.
• Experience with NVUE (NVIDIA User Experience).
• Background with SONiC.
• Experience with Grafana/PromQL

The base salary range for this role is $109,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

NÜ Metal is CoreWeave’s Hardware New Product Introduction (NPI) team, a multidisciplinary group of mechanical, thermal, electrical, and power engineers that takes new GPU and server platforms from early concept through validation, integration, and large-scale production across our data centers. The team bridges hardware design, manufacturing partners, and data center operations to de-risk new platforms early and ensure each new generation of high-density, often liquid-cooled hardware lands in the fleet reliably, efficiently, and at scale. 

What You’ll Do

• Own the architecture, design, and evolution of thermals for high-density, GPU-accelerated data centers.
• Design, validate, and optimize rack-level and server-level thermal solutions.
• Partner closely with data center teams to define end-to-end thermal architecture—from building infrastructure through the rack.
• Collaborate with world-class engineers developing next-generation AI/ML hardware platforms.
• Advise on data center secondary loop layout, commissioning, and operation
• Review and evaluate JDM/ODM thermal designs, including thermal simulations; independently run simulations as needed.
• Debug complex thermal and system-level issues, incorporating learnings into future designs.
• Collaborate with vendors and internal teams to manage heterogeneous deployments, ensuring a cohesive thermal strategy across varying CDUs, server platforms, and facilities. 
• Drive thermal designs from early concept through mass production.
• Ensure designs meet high standards for efficiency, safety, reliability, and scalability.
• Partner with manufacturing teams to support production readiness and ramp.
• Actively contribute to architectural discussions, providing strong hardware design guidance and tradeoff analysis.
• Mentor and support the growth of junior engineers.
  
  

Who You Are

Minimum Qualifications:

• 10+ years of thermal management experience 
• Bachelor’s Degree in Mechanical Engineering, Aerospace Engineering, or a related technical field
• Experience in heatsinks, thermal interface materials, liquid cooling, heat exchangers and fans

Preferred Qualifications:

• 10+ years of experience designing complex thermal systems for hyperscale data centers
• Experience in liquid cooled data center architectures, including cold plates, wetted material compatibility, and CDUs
• Strong thermal design expertise
• Experience leading cross-functional design efforts in fast-paced environments
• Strong documentation and design review practices
• Excellent negotiation and stakeholder-management skills
• Understanding of rack-level thermal requirements and their impact on upstream infrastructure, including CDUs, facility piping, and chillers

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

As a Staff Software Engineer within our Compute Architecture Org, you’ll shape the backbone of our GPU-driven data centers—powering some of the most advanced workloads in AI and large-scale computing. This isn’t just about keeping the lights on; it’s about architecting the next generation of reliable, secure, and massively scalable infrastructure. 

The METALDEV team builds and operates a suite of Go-based services that power large-scale datacenter deployments. These platforms automate complex workflows while providing deep observability and monitoring for tens of thousands of GPU servers and diverse infrastructure components—including CDUs, PDUs, and NVLink switches. Our tooling is designed for next-generation rack systems like NVIDIA GB200 and GB300, as well as a broad range of GPU server platforms.

• Provide technical leadership in designing, architecting, and operating large-scale infrastructure services for GPU servers, with a focus on security, reliability, and scalability.
• Build and enhance infrastructure services and automation, including inventory management systems and lifecycle management solutions using open source technologies.
• Drive strategic direction for infrastructure automation, lifecycle management, and service orchestration, making MetalDev core services more scalable and resilient.
• Define best practices for API development (REST/gRPC), distributed databases, and Kubernetes orchestration—while mentoring engineers to follow your lead.
• Partner with hardware, software, and operations teams to align infrastructure with business impact.
• Contribute to open source communities (e.g., Go, Redfish) through collaboration and technical thought leadership.
• Lead and improve CI/CD pipelines for hardware compliance, firmware management, and data systems.
• Champion reliability and operational excellence by driving observability (Prometheus/Grafana), production incident response, and continuous service improvement.

Who You Are:

• B.S., M.S., or PhD in Computer Science or related field, or equivalent experience.
• 8+ years of software engineering experience with a strong focus on infrastructure, cloud engineering, and distributed databases—particularly within large-scale datacenter and cloud environments.
• Expertise in Go and proven experience building REST/gRPC APIs for mission-critical platforms.
• Strong background in architecting and scaling cloud-native Kubernetes infrastructure and distributed services.
• Proven success in mentoring engineers, leading technical projects, and influencing engineering strategy across teams.
• Experience contributing to and collaborating with open source communities.
• Skilled in applying a data-driven approach to reliability, optimization, and continuous improvement.
• Excellent communicator able to work effectively with both technical and non-technical stakeholders.
• Hands-on experience with observability stacks (Prometheus, Grafana, PromQL), CI/CD pipelines, and operating large fleets of GPU servers.
• Track record of leading incident response, postmortems, and driving robust service reliability.

Preferred:

• Working knowledge of Kafka, ClickHouse and CRDB.
• DMTF, RedFish APIs, and GPU servers. 

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

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

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

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

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).