You will own end-to-end accounting for Anthropic's infrastructure lease portfolio, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842, and help build the processes, controls, and systems that let this function scale.

Responsibilities:

• Lead end-to-end accounting for Anthropic's AI infrastructure lease portfolio, including monthly close, reconciliations, roll-forwards, and flux analysis
• Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments)
• Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made
• Serve as a trusted finance partner to non-finance stakeholders , explaining the financial statement impact of their decisions in clear, simple terms they can act on
• Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems
• Design and scale systems, processes, and controls to support a rapidly growing lease portfolio
• Collaborate with and mentor accounting professionals across the Infrastructure Accounting team
• Serve as a key point of contact with external auditors on lease accounting matters
• Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting

You may be a good fit if you:

• Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies
• Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred
• Possess strong technical accounting knowledge of ASC 842, particularly as applied to infrastructure, data center, or compute-related arrangements
• Have experience managing a significant lease portfolio in a high-growth environment
• Demonstrate strong analytical abilities and comfort working with large, complex datasets
• Have a track record of improving scalable financial processes in fast-moving environments
• Have experience mentoring and developing accounting professionals
• Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders
• Communicate clearly and influence effectively across cross-functional partners
• Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency

Strong candidates may have:

• Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure lease structures (including colocation, dark fiber IRUs, and compute / equipment leases)
• Experience with lease accounting software at scale
• SQL proficiency for querying and analyzing large infrastructure and accounting datasets
• Background in Big 4 accounting or advisory services combined with industry experience
• Experience with complex data center buildouts or hybrid cloud / on-premise environments
• Knowledge of AI/ML infrastructure and associated cost structures
• Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation
• Proven ability to navigate ambiguity and drive results in rapidly changing environments

The annual compensation range for this role is $190,000-$230,000 USD.

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$380K – $555K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Foundations team focuses on how model behavior changes as we scale models, data, and compute. The team studies the interactions between model architecture, optimization, and training data, and uses those insights to guide how new models are designed and trained.

About the Role

In this role, you will build the systems that enable advanced AI models to run efficiently at scale. You will operate at the intersection of model research and systems engineering, translating new architectural ideas into high-performance inference systems that surface real tradeoffs in performance, memory, and scalability.

Your work will directly influence how models are designed, evaluated, and iterated on across the research organization. By developing and evolving high-performance inference infrastructure, you will enable researchers to explore new ideas with a clear understanding of their computational and systems implications.

This is not a product-serving role. Instead, it is a research-enabling systems role focused on performance, correctness, and realism - ensuring that AI research is grounded in what can actually scale.

In this role, you will:

• Design and build high-performance inference runtimes for large-scale AI models, with a focus on efficiency, reliability, and scalability.

• Own and optimize core execution paths, including model execution, memory management, batching, and scheduling.

• Develop and improve distributed inference across multiple GPUs, including parallelism strategies, communication patterns, and runtime coordination.

• Implement and optimize inference-critical operators and kernels informed by real-world workloads.

• Partner closely with research teams to ensure new model architectures are supported accurately and efficiently in inference systems.

• Diagnose and resolve performance bottlenecks through profiling, benchmarking, and low-level debugging.

• Contribute to observability, correctness, and reliability of large-scale AI systems.

You might thrive in this role if you:

• Have experience building production inference systems, not just training or running models.

• Are comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs.

• Have worked on multi-GPU or distributed systems involving batching, scheduling, or runtime coordination.

• Can reason end-to-end about inference pipelines, from request handling through execution and output streaming.

• Are able to understand research ideas and implement them within real system and performance constraints.

• Enjoy solving hard, ambiguous systems problems that only emerge at scale.

• Prefer hands-on technical ownership and execution over abstract design work.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

Required Skills

• Experience building production inference systems, not just training or running models

• Comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs

• Multi-GPU or distributed systems involving batching, scheduling, or runtime coordination

• Reasoning end-to-end about inference pipelines, from request handling through execution and output streaming

• Understanding research ideas and implementing them within real system and performance constraints

• Solving hard, ambiguous systems problems that only emerge at scale

• Hands-on technical ownership and execution over abstract design work

Preferred Skills

• Experience working with large-scale AI models

• Distributed inference across multiple GPUs

• Parallelism strategies, communication patterns, and runtime coordination

• Implementing and optimizing inference-critical operators and kernels

• Observability, correctness, and reliability of large-scale AI systems

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

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In this role, you will own end-to-end accounting for Anthropic's infrastructure lease portfolio, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842, and help build the processes, controls, and systems that let this function scale.

Responsibilities:

• Lead end-to-end accounting for Anthropic's AI infrastructure lease portfolio, including monthly close, reconciliations, roll-forwards, and flux analysis
• Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments)
• Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made
• Serve as a trusted finance partner to non-finance stakeholders , explaining the financial statement impact of their decisions in clear, simple terms they can act on
• Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems
• Design and scale systems, processes, and controls to support a rapidly growing lease portfolio
• Collaborate with and mentor accounting professionals across the Infrastructure Accounting team
• Serve as a key point of contact with external auditors on lease accounting matters
• Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting

Requirements:

• 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies
• Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred
• Possess strong technical accounting knowledge of ASC 842, particularly as applied to infrastructure, data center, or compute-related arrangements
• Have experience managing a significant lease portfolio in a high-growth environment
• Demonstrate strong analytical abilities and comfort working with large, complex datasets
• Have a track record of improving scalable financial processes in fast-moving environments
• Have experience mentoring and developing accounting professionals
• Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders
• Communicate clearly and influence effectively across cross-functional partners
• Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency

Strong candidates may have:

• Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure lease structures (including colocation, dark fiber IRUs, and compute / equipment leases)
• Experience with lease accounting software at scale
• SQL proficiency for querying and analyzing large infrastructure and accounting datasets
• Background in Big 4 accounting or advisory services combined with industry experience
• Experience with complex data center buildouts or hybrid cloud / on-premise environments
• Knowledge of AI/ML infrastructure and associated cost structures
• Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation
• Proven ability to navigate ambiguity and drive results in rapidly changing environments

Annual compensation range for this role is $190,000-$230,000 USD.

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Responsibilities:

• Design and implement new features to accelerate Network and Storage
• Work closely with open source communities, participate in the relevant working groups
• Work with different teams across NVIDIA
• Mentor members of the team, enabling them to deliver high-quality software

Requirements:

• BSc in Computer Science or equivalent program
• 5+ years of hands-on experience in software development, preferably with Python/Golang
• Highly motivated with strong communication skills, the ability to work successfully with multi-functional teams, developers, and architects
• Coordinate effectively across organizational boundaries and geographies
• Strong self-initiative, independence, and flexibility to a new technology
• Deep understanding of network protocols, virtualization, and containers
• Strong background in designing, implementing, and debugging complex software
• Hands-on experience with Kubernetes

Nice to Have:

• Experience with working on open source projects
• Background with SR-IOV, DPDK, ROCE technologies
• Experience in developing Kubernetes Operators, CSI plugins, CNI Plugins

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As a Solutions Architect, you will be responsible for managing complex customer deployments across AWS, GCP, Azure, and on-prem environments. You’ll partner directly with customer engineering teams to provision and monitor services, debug and resolve infrastructure issues, and ensure performance and scalability using SRE best practices. This role blends hands-on technical problem-solving with customer-facing engagement, including technical discussions, demos, workshops, and enablement content creation. You’ll work closely with Sales Engineering, Field Engineering, Support, and Product to drive adoption and influence our product roadmap based on customer feedback.

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 diving into infrastructure problems and solving them systematically
• You’re curious about how to scale complex ML systems in production environments
• You’re an expert in building and running containerized, distributed systems

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

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

The base salary ranges for this role is $180,000 to $200,000. 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).

We offer a variety of benefits to support your needs, including:

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

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This role is designed for a strong operator who will help scale our domestic, civilian, and commercial deployments. Operating CUAS capabilities inside the United States requires a combination of technical rigor, operational excellence, and regulatory awareness. Our systems must integrate seamlessly with civilian airspace operations while meeting federal, state, and local legal authorities governing counter-drone activity.

Our customers depend on precise execution, regulatory compliance, and professional fielding in environments where safety, legal authority, and public trust are paramount. This role is responsible for driving program execution to protect critical infrastructure, government facilities, and commercial sites.

You will serve as the operational expert for domestic Air Defense deployments,ensuring systems, personnel, training, documentation, and regulatory requirements are aligned for mission success. You will build repeatable deployment processes, manage cross-functional coordination, and serve as the connective tissue between technical teams and customers.

You will operate at the intersection of technology development, operational deployment, and customer engagement - serving as a key integrator across teams and ensuring the program executes effectively and efficiently at scale. You will directly support program cost, schedule, risk management, executive reporting, and strategic execution.

This role is ideal for an operator who thrives in ambiguity, is comfortable in front of customers and executives, wants to scale at speed, and build long-term sustainable operations.

Program Execution - Develop and maintain program execution frameworks, milestones, and reporting structures to ensure alignment across technical and operational teams - Drive program coordination across engineering, product, growth, compliance, and supply chain - Develop executive-level reporting, dashboards, and briefings to communicate program health and progress to leadership - Identify program risks early and drive mitigation strategies across technical and operational stakeholders - Ensure program execution aligns with applicable federal, state, and local regulatory frameworks governing domestics CUAS operations - Coordinate with regulatory and policy stakeholders to support deployments operating within FAA, DHS, and other relevant authorities - Serve as subject matter expert to ensure operational concepts and deployment strategies reflect real-world legal and regulatory constraints as well as operational realities

Deployment Planning - Oversee planning and coordination of CUAS deployments , from planning and logistics through on-site activation to long-term sustainment - Develop structured deployment plans, readiness gates, and operational checklists to ensure repeatable execution - Coordinate cross-functional teams to deliver mission-ready capabilities to customer sites - Lead after-action reviews and capture lessons learned to continuously improve deployment velocity and quality

Stakeholder Engagement - Serve as senior program representative during key deployments and operational activities - Ensure clear, proactive communication across internal stakeholders and external customers - Drive stakeholder alignment across technical, operational, and regulatory teams to ensure program decisions are made quickly, transparently, and in support of mission success - Ensure coordination between program leadership, field operations, and customer stakeholders to maintain readiness and program credibility

Required Qualifications - 6+ years of experience in deployment operations, defense programs, aerospace systems, logistics, or technical project management - Demonstrated experience managing complex, cross-functional programs involving hardware and software systems in high-stakes or regulated environments - Experience working with domestic government entities, critical infrastructure operators, or regulated commercial customers - Strong operational rigor,ability to build structured plans, manage concurrent workstreams, and execute against tight timelines - Proven ability to cut through ambiguity and drive cross-functional alignment without formal authority - Exceptional written and verbal communication skills; comfortable briefing senior leadership and customer executives - Willingness to travel up to 30% as program and deployment needs require - Eligible to obtain and maintain a security clearance

Preferred Qualifications - Familiarity with the domestic CUAS operating environment with direct experience work on sensor networks, autonomy, or ISR platforms - Knowledge of FAA coordination, regulatory compliance, and operational integration within civilian infrastructure - Prior experience in a Deputy Program Manager, Program Analyst, or Technical Program Management role - Familiarity with domestic airspace regulations, FAA coordination, or CUAS legal frameworks - Background in DoD, DHS, or critical infrastructure protection programs - Experience scaling operations from early-stage deployments to sustained production and fielding - MBA or advanced degree in Business, Public Policy, Engineering, or a related technical discipline

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In this role, you will work closely with our team to ensure that our infrastructure is reliable, efficient, and scalable. You will participate in an on-call rotation and be responsible for resolving integration challenges across the entire infrastructure stack, from data center hardware to orchestration platforms.

We're looking for someone with a strong background in software engineering, experience with Go and/or Python, and familiarity with CI/CD tools like Argo, Flux, and GitHub Actions. You should also have a strong understanding of Linux internals and experience designing, implementing, and monitoring Kubernetes operators for custom resource definitions.

As a senior software engineer at CoreWeave, you will have the opportunity to work on a wide range of projects and contribute to the development of our cloud computing platform. You will be part of a collaborative and dynamic team that is passionate about building innovative solutions to complex problems.

If you're a motivated and experienced software engineer looking for a new challenge, we encourage you to apply for this role.

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

About the Role

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

Who You Are

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

Preferred

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

Wondering if you’re a good fit?

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

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

Why CoreWeave?

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

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

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

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

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

Our Workplace

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

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

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

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You'll help shape the systems and tooling that support environments ranging from single-node virtual machines to large Kubernetes clusters, with a focus on reliability, operational simplicity, upgrade velocity, and zero-downtime capabilities across GitLab.com, GitLab Dedicated, and self-managed deployments.

In this role, you'll partner closely with a Product Manager and work across Infrastructure Platforms to connect customer needs and business goals with practical engineering choices.

This is a hands-on leadership opportunity for someone who wants to support a high-performing team while influencing how GitLab is delivered at scale.

In your first year, you'll help the team deliver better deployment and upgrade experiences, guide technical direction in areas like Kubernetes Operators, Helm charts, and cloud-native deployment architectures, and contribute to incident management to help support the availability of GitLab.com.

Responsibilities

• Guide a globally distributed engineering team and create an environment where team members can do strong work and grow in an all-remote, asynchronous setting.

• Hire onboard, and develop team members who align with GitLab's values and contribute to an outcome-focused engineering organization.

• Manage and improve agile, asynchronous workflows so the team can deliver deployment tooling and services iteratively and reliably.

• Partner with Product Management and engineering peers across Infrastructure Platforms to align team priorities with customer needs and business goals.

• Own the reliability, upgrade experience, and operational simplicity of GitLab deployments across self-managed environments, GitLab.com, and GitLab Dedicated.

• Improve deployment patterns, observability, zero-downtime capabilities, and upgrade orchestration for customers running GitLab on their own infrastructure.

• Apply technical judgment in areas such as Kubernetes Operators, Helm charts, and stateful application delivery to guide choices and unblock the team.

• Participate in incident management and work with reliability and development teams to help maintain the availability of GitLab.com.

Requirements

• Experience guiding deployment tooling, platform engineering, or site reliability engineering teams that operate at meaningful scale.

• Strong technical knowledge of Kubernetes Operators, Helm charts for stateful applications, and upgrade orchestration patterns.

• Familiarity with cloud-native deployment architectures, database lifecycle management, schema migrations, and zero-downtime upgrade strategies.

• Experience working on enterprise-scale or consumer-scale platforms, ideally in a product-focused software environment.

• Ability to investigate complex deployment and operational issues and explain tradeoffs clearly to both technical and non-technical stakeholders.

• Experience building high-performing, distributed teams and supporting team members in an asynchronous, all-remote environment.

• Effective cross-functional skills across functions such as Infrastructure, Support, and Customer Success to improve customer outcomes.

• Openness to diverse paths into the role, including transferable skills, formal computer science education, or equivalent practical experience, along with interest in open source and developer tools.

About the Team

The GitLab Delivery - Operate team is part of the Infrastructure Platforms department, which enables how GitLab operates, scales, and is delivered across GitLab.com, GitLab Dedicated, and self-managed offerings.

We are a globally distributed team that owns deployment tooling and operational patterns to help customers run GitLab reliably on infrastructure ranging from virtual machines to Kubernetes clusters.

We work asynchronously across regions and work closely with other Infrastructure teams, along with Support and Customer Success, to turn lessons from operating GitLab at scale into product and tooling improvements that benefit customers across all deployment models.

Benefits

• Benefits to support your health, finances, and well-being

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave

• Home office support

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Working at the intersection of hardware and software, you will implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack,from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization.

Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.

Responsibilities:

• Architect and implement foundational systems that power Claude
• Maximize GPU utilization and performance at unprecedented scale
• Develop cutting-edge optimizations that directly enable new model capabilities
• Dramatically improve inference efficiency
• Implement state-of-the-art techniques from custom kernel development to distributed system architectures
• Work at the intersection of hardware and software
• Span the entire stack,from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization

Requirements:

• Deep experience with GPU programming and optimization at scale
• Impact-driven, passionate about delivering measurable performance breakthroughs
• Ability to navigate complex systems from hardware interfaces to high-level ML frameworks
• Enjoy collaborative problem-solving and pair programming
• Want to work on state-of-the-art language models with real-world impact
• Care about the societal impacts of your work
• Thrive in ambiguous environments where you define the path forward

Nice to have:

• Experience with GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization
• ML Compilers & Frameworks: PyTorch/JAX internals, torch.compile, XLA, custom operators
• Performance Engineering: Kernel fusion, memory bandwidth optimization, profiling with Nsight
• Distributed Systems: NCCL, NVLink, collective communication, model parallelism
• Low-Precision: INT8/FP8 quantization, mixed-precision techniques
• Production Systems: Large-scale training infrastructure, fault tolerance, cluster orchestration

Representative projects:

• Co-design attention mechanisms and algorithms for next-generation hardware architectures
• Develop custom kernels for emerging quantization formats and mixed-precision techniques
• Design distributed communication strategies for multi-node GPU clusters
• Optimize end-to-end training and inference pipelines for frontier language models
• Build performance modeling frameworks to predict and optimize GPU utilization
• Implement kernel fusion strategies to minimize memory bandwidth bottlenecks
• Create resilient systems for planet-scale distributed training infrastructure
• Profile and eliminate performance bottlenecks in production serving infrastructure
• Partner with hardware vendors to influence future accelerator capabilities and software stacks

Note: The salary range for this position is $280,000-$850,000 USD per year.

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That spirit is at the heart of this Account Executive role at Mercury, where success comes from being a true multipurpose operator: someone who can prospect, run discovery, adapt on the fly, decode messy financial workflows, and make founders feel understood and supported.

At Mercury, we build modern business banking along with tools for payments, cards, and cash management so companies can run their finances from a single, intuitive dashboard. We are looking for multiple Account Executives to help a wide range of businesses make Mercury the core of how money moves through their company.

One day you might be talking to a fast-growing AI startup, the next to an ecommerce brand you love, or a 30-year-old family-owned business that is ready to modernize its banking and finance operations. Many of these customers are lean and fast-moving, and they will look to you as a partner who understands both their business and their operations.

This is a full-cycle, quota-carrying, consultative role in a fast-changing environment where you will build and iterate on your own sales motion.

Responsibilities

• Own a quota and the full sales cycle from first touch through activation across a diverse range of companies across all stages, industries, and use cases.
• Design and execute your own pipeline strategy across outbound, inbound, and creative channels, while partnering closely with SDRs.
• Run high-quality discovery with founders, operators, and lean finance teams to uncover real problems in how they manage cash, payments, and financial operations.
• Connect pain-points to Mercury's products and tell clear, simple stories that help customers make confident decisions.
• Drive a strong pipeline of high-velocity deals while staying in control of your time and competing priorities.
• Collaborate with Account Management, Partnerships, Marketing, and Product to win complex deals and unlock new segments.
• Turn what you see in the field into structured feedback and ideas that improve our go-to-market motion, processes, and product.

Who You Are

• Coachable and growth-oriented. You seek out feedback, integrate it quickly, and can point to a clear improvement curve in your recent roles.
• Curious, creative, and strategic. You ask why, not just what, and you adjust your approach based on the customer, especially in founder-led cycles.
• Scrappy and resourceful. You are comfortable without a rigid playbook, clean territory, or heavy inbound, and you know how to build pipeline from almost zero.
• Disciplined and accountable. You manage your time, pipeline, and follow-through with intention and take ownership of both inputs and outcomes.
• Comfortable with ambiguity. You have succeeded in environments where product, ICP, and GTM change quickly, and you adapt rather than stall.
• Collaborative generalist. You enjoy working with SDRs, marketing, product, and post-sales, and you are excited to take on projects beyond your core deals when they unlock revenue opportunities for Mercury.
• Willing to travel on occasion for conferences or strategic in-person meetings.

Qualifications

• At least one year of closing experience in an Account Executive role, or equivalent full-cycle experience in a similar capacity.
• Experience selling to founders, owner-operators, or small leadership teams is a plus.
• Proven ability to build and manage a high-quality pipeline and hit or exceed targets in a fast-paced environment.
• Excellent written and verbal communication skills, with the ability to tailor your message to different audiences.
• A bachelor's degree or equivalent practical experience.
• Genuine interest in fintech and how better financial tools can help growing businesses operate and scale.

Compensation

• The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.
• Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry.
• New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $134,000-$168,200
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $121,000-$151,400

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Key responsibilities include:

• Maintaining research infrastructure, ensuring health, and optimizing components to extract peak performance from the system (both on application and infrastructure side)
• Scaling infrastructure to meet growing research demands while maintaining reliability and performance
• Collaborating with research teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency
• Identifying and resolving performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale
• Building and evolving telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilization, and costs across our cloud and datacenter fleets
• Participating in on-call rotations and incident response to maintain system reliability

Technical focus includes:

• Python, Bash, Go
• Kubernetes
• Nvidia GPU drivers and operators
• OTel, Prometheus

Requirements include:

• Experience building or operating large-scale training platforms
• Worked with large-scale compute clusters (GPUs)
• Proven ability to debug performance and reliability issues across large distributed fleets
• Strong problem-solving skills and ability to work independently
• Strong communication skills and the ability to work effectively with both internal and external partners
• Deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP
• Experience with SLURM

We offer a competitive base annual salary of $180,000-$300,000 USD and a hybrid work model with a meaningful in-person presence.

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Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency.

Working at the intersection of hardware and software, you'll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization.

Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.

You might be a good fit if you:

• Have deep experience with GPU programming and optimization at scale
• Are impact-driven, passionate about delivering measurable performance breakthroughs
• Can navigate complex systems from hardware interfaces to high-level ML frameworks
• Enjoy collaborative problem-solving and pair programming
• Want to work on state-of-the-art language models with real-world impact
• Care about the societal impacts of your work
• Thrive in ambiguous environments where you define the path forward

Strong candidates may also have experience with:

• GPU Kernel Development: CUDA, Triton, CUTLASS, Flash Attention, tensor core optimization
• ML Compilers & Frameworks: PyTorch/JAX internals, torch.compile, XLA, custom operators
• Performance Engineering: Kernel fusion, memory bandwidth optimization, profiling with Nsight
• Distributed Systems: NCCL, NVLink, collective communication, model parallelism
• Low-Precision: INT8/FP8 quantization, mixed-precision techniques
• Production Systems: Large-scale training infrastructure, fault tolerance, cluster orchestration

Representative projects:

• Co-design attention mechanisms and algorithms for next-generation hardware architectures
• Develop custom kernels for emerging quantization formats and mixed-precision techniques
• Design distributed communication strategies for multi-node GPU clusters
• Optimize end-to-end training and inference pipelines for frontier language models
• Build performance modeling frameworks to predict and optimize GPU utilization
• Implement kernel fusion strategies to minimize memory bandwidth bottlenecks
• Create resilient systems for planet-scale distributed training infrastructure
• Profile and eliminate performance bottlenecks in production serving infrastructure
• Partner with hardware vendors to influence future accelerator capabilities and software stacks

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

Annual Salary: $280,000 - $850,000USD

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What you'll do

• Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
• Manage and optimize Slurm-based HPC environments for distributed training of large language models

What you need

• Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
• Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization

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