Sr./Staff Forward Deployed Engineer

About Groq

Inference is the engine that powers AI, and Groq was built from the silicon up to deliver the world's fastest inference at scale. We pioneered the LPU-the first processor designed specifically for AI inference-and are transforming that innovation into a global cloud platform powering production AI workloads.

With the capital, infrastructure, and team to execute, we're uniquely positioned to define the next era of AI infrastructure. The opportunity is massive, and it's still wide open. Now let's go build it!

Mission

As a Sr./Staff Forward Deployed Engineer focused on AI Infrastructure at Groq, you will work at the frontier of large-scale AI systems, taking complex customer infrastructure programs from requirements to working production environments. You’ll help bring some of the newest accelerator and infrastructure technologies into production, spanning next-generation NVIDIA GPU systems alongside Groq’s purpose-built inference platform.

You will operate across GroqCloud, GroqMetal (Groq’s infrastructure platform), GPU and LPX infrastructure, and the networking, storage, orchestration, observability, and workload layers around them. This is an opportunity to work on infrastructure where the playbooks are still being written: bringing up new systems, solving problems that emerge only at scale, and helping customers deploy demanding AI workloads on platforms at the leading edge of the market. You will work directly with customers while partnering closely with Commercial, Field Engineering, Platform and Cloud Engineering, Networking, Data Center Operations, Security, and Support teams.

This is a deeply hands-on individual-contributor role. You will work directly in systems, write code and automation, troubleshoot across layers of the stack, and turn ambiguous customer requirements into deployed and validated solutions. The work you do in the field will also shape what comes next: turning hard-won lessons into reusable tooling, deployment patterns, reference architectures, and improvements to the Groq platform for the customers that follow.

Location: We prioritize hiring in or near the SF Bay Area, New York City and Dallas.

Responsibilities & Opportunities in This Role

• Own technical execution across complex customer engagements, from discovery and architecture through PoCs, demos, deployment, cluster bring-up, validation, acceptance, production readiness, and operational handoff.
• Translate incomplete or ambiguous customer requirements into practical architectures, implementation plans, test criteria, runbooks, and concrete engineering actions.
• Work hands-on across Linux, bare-metal infrastructure, Kubernetes and Slurm, networking, storage, observability, automation, and Groq platform integrations to bring customer environments online and resolve issues.
• Support large-scale GPU and LPX deployments, including infrastructure bring-up, cluster health and performance validation, workload testing, benchmarking, failure isolation, and production-readiness evidence.
• Understand customer AI workloads well enough to reason about training and inference behavior, concurrency, throughput, latency, data movement, caching, scheduling, and infrastructure bottlenecks.
• Lead technical portions of customer discovery, architecture reviews, demonstrations, and proofs of concept, clearly explaining design choices, tradeoffs, performance results, and risks to both engineering and business stakeholders.
• Partner with Networking and Security teams on customer requirements such as private connectivity and peering, routing, ingress and egress, load balancing, network policy, access controls, security architecture reviews, and enterprise security diligence.
• Troubleshoot production and pre-production issues that cross organizational or technical boundaries, drive them to resolution, and coordinate the right internal experts without losing end-to-end ownership.
• Embed with Platform, Cloud, Infrastructure, or Operations teams when priority customer deployments expose gaps that require concentrated engineering execution, automation, or integration work.
• Build reusable tools, automation, reference architectures, test suites, deployment patterns, documentation, and lessons learned so that customer-specific engineering makes the platform better for the next deployment.
• Bring structured customer feedback and field evidence back to Product and Engineering, identifying recurring gaps and helping turn one-off solutions into repeatable platform capabilities.

Ideal Candidates Have/Are

• 4+ years of hands-on experience building, deploying, operating, or troubleshooting cloud infrastructure, AI infrastructure, HPC systems, large-scale platforms, or similarly demanding production environments.
• Strong Linux and distributed-systems fundamentals, with practical experience in Kubernetes, Slurm, bare-metal environments, or comparable infrastructure platforms.
• Meaningful technical depth in at least one area such as GPU or accelerator systems, networking, storage, orchestration/platform engineering, or infrastructure reliability, with enough breadth to troubleshoot across adjacent layers.
• Working knowledge of AI training and inference workloads and how workload characteristics affect compute, networking, storage, scheduling, latency, and throughput.
• Strong Python, Go, Bash, or equivalent scripting/programming skills for diagnostics, automation, deployment tooling, testing, or integrations.
• A track record of personally debugging and delivering systems rather than operating only at the architecture, project-management, or escalation level.
• Ability to break ambiguous problems into concrete technical actions and drive issues to resolution when responsibility spans multiple teams.
• Strong written and verbal communication skills, including the ability to gather requirements from customer engineers, explain technical tradeoffs clearly, and document work so that others can reproduce it.
• Comfortable operating in a fast-moving environment where customer requirements, platform capabilities, and implementation details can evolve in parallel.

Preferred Qualifications

• Experience at a neocloud, hyperscaler, AI infrastructure provider, HPC environment, frontier AI company, or other organization operating large-scale accelerator infrastructure.
• Hands-on experience with NVIDIA GPU infrastructure and technologies such as CUDA, NCCL, NVLink/NVSwitch, DCGM, GPU Operator, InfiniBand, RoCE, Kubernetes, or Slurm.
• Experience bringing up, qualifying, or operating multi-node GPU clusters, including health checks, burn-in or stress testing, collective-communication testing, performance benchmarking, and acceptance criteria.
• Familiarity with high-performance storage systems such as VAST, Weka, Lustre, Ceph, or similar technologies and the data-access patterns of distributed AI workloads.
• Experience with infrastructure automation and lifecycle tooling such as Terraform, Ansible, CI/CD, BMC/Redfish, PXE/iPXE, or related systems.
• Prior solutions engineering, sales engineering, solutions architecture, or technical pre-sales experience in cloud, networking, security, AI infrastructure, or data center systems.
• Customer-facing networking experience including private interconnects and peering, BGP and routing, load balancing, Kubernetes/Cilium network policy, and north-south and east-west traffic design.
• Customer-facing security experience including access-control architecture, network isolation, enterprise security reviews, and SOC 2 / ISO 27001-style diligence or questionnaires.
• Experience defining or executing technical PoCs, reference architectures, cluster acceptance tests, performance benchmarks, migration plans, or production-readiness criteria.

Compensation

Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay. The total cash salary ranges for this position, which is inclusive of the potential bonus value, is dependent by level:

- Staff: $270,400-$318,100

- Sr. Staff: $341,400 - $401,600

Individual placement within these ranges is determined by your geographic location, experience, skills, and alignment with internal compensation standards. These ranges are specific to candidates located in the United States. Compensation for international candidates will vary based on local market dynamics. Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits.

US Job Posting

This position may require access to technology and/or information subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). To comply with these requirements, candidates for this role must meet certain citizenship or residency criteria. Specifically, they must qualify as U.S. Persons for export control purposes (i.e., U.S. citizen, U.S. lawful permanent resident (Green Card holder), or a protected individual under 8 U.S.C. § 1324b(a)(3) such as a refugee or asylee), or otherwise be eligible for an applicable export license.

Groq is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex (including gender identity, sexual orientation, and pregnancy), age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.

Groq complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We do not tolerate discrimination or harassment based on any protected characteristic.

Groq iscommitted to working with and providing reasonable accommodations to qualified individuals with physical or mental disabilities. If you require a reasonable accommodation to complete an application or to participate in the hiring process, please contact us at [email protected]. This contact is for accommodation requests only, which will be considered on a case-by-case basis.

All offers of employment are contingent upon verification of the applicant’s identity and employment authorization in accordance with federal law.

Groq encourages people with criminal record histories to apply for employment, and values diverse experiences, including prior contact with the criminal legal system. To that end, Groq welcomes such applicants in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: https://www.phila.gov/documents/fair-chance-hiring-law-poster.

As part of our hiring process, Groq may use artificial intelligence (“AI”) tools or automated systems to assist with activities such as reviewing applications, evaluating qualifications, scheduling interviews, analyzing assessment responses, or supporting recruiting operations. These tools are designed to assist-not replace-human decision-making, and hiring decisions are subject to human review. We may process information you provide during the application process, including resumes, application materials, interview responses, assessments, and, where applicable, audio, video, or transcript data. If legally required, we will request consent before using technologies that analyze biometric or video interview data. Candidates may request reasonable accommodations, an alternative evaluation process, additional information regarding the use of AI in the hiring process, or review of certain automated decisions by contacting [email protected].