{"id":1741299,"url":"https://alion.io/job/groq-sr-staff-forward-deployed-engineer","title":"Sr./Staff Forward Deployed Engineer","company":{"id":99,"name":"Groq","domain":"groq.com","url":"https://alion.io/company/groq","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bash","optional":false},{"name":"Groq","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SLURM","optional":false},{"name":"Ansible","optional":true},{"name":"BGP","optional":true},{"name":"CI/CD","optional":true},{"name":"Cilium","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"InfiniBand","optional":true},{"name":"ISO 27001","optional":true},{"name":"NCCL","optional":true},{"name":"NVLink","optional":true},{"name":"SOC 2","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-05-29T17:50:59Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-13T05:40:47Z","board_verified":true,"closed_at":null,"days_open":136,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":136},"description":"About Groq\nInference 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.\nWith 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!\nMission\nAs 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.\nYou 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.\nThis 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.\nLocation: This role will be based in one of our three hiring hubs: the Dallas, San Francisco, or New York City area. The person hired for this role must be based in one of these three areas. You’ll have the flexibility to work remotely while we establish our local Groq office, with the expectation that this role will transition to onsite once the office opens.\nResponsibilities & Opportunities in This Role\nOwn technical execution across complex customer engagements, from discovery and architecture through PoCs, demos, deployment, cluster bring-up, validation, acceptance, production readiness, and operational handoff.\nTranslate incomplete or ambiguous customer requirements into practical architectures, implementation plans, test criteria, runbooks, and concrete engineering actions.\nWork 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.\nSupport large-scale GPU and LPX deployments, including infrastructure bring-up, cluster health and performance validation, workload testing, benchmarking, failure isolation, and production-readiness evidence.\nUnderstand customer AI workloads well enough to reason about training and inference behavior, concurrency, throughput, latency, data movement, caching, scheduling, and infrastructure bottlenecks.\nLead 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.\nPartner 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.\nTroubleshoot 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.\nEmbed with Platform, Cloud, Infrastructure, or Operations teams when priority customer deployments expose gaps that require concentrated engineering execution, automation, or integration work.\nBuild 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.\nBring structured customer feedback and field evidence back to Product and Engineering, identifying recurring gaps and helping turn one-off solutions into repeatable platform capabilities.\nIdeal Candidates Have/Are\n4+ years of hands-on experience building, deploying, operating, or troubleshooting cloud infrastructure, AI infrastructure, HPC systems, large-scale platforms, or similarly demanding production environments.\nStrong Linux and distributed-systems fundamentals, with practical experience in Kubernetes, Slurm, bare-metal environments, or comparable infrastructure platforms.\nMeaningful 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.\nWorking knowledge of AI training and inference workloads and how workload characteristics affect compute, networking, storage, scheduling, latency, and throughput.\nStrong Python, Go, Bash, or equivalent scripting/programming skills for diagnostics, automation, deployment tooling, testing, or integrations.\nA track record of personally debugging and delivering systems rather than operating only at the architecture, project-management, or escalation level.\nAbility to break ambiguous problems into concrete technical actions and drive issues to resolution when responsibility spans multiple teams.\nStrong 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.\nComfortable operating in a fast-moving environment where customer requirements, platform capabilities, and implementation details can evolve in parallel.\nPreferred Qualifications\nExperience at a neocloud, hyperscaler, AI infrastructure provider, HPC environment, frontier AI company, or other organization operating large-scale accelerator infrastructure.\nHands-on experience with NVIDIA GPU infrastructure and technologies such as CUDA, NCCL, NVLink/NVSwitch, DCGM, GPU Operator, InfiniBand, RoCE, Kubernetes, or Slurm.\nExperience 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.\nFamiliarity with high-performance storage systems such as VAST, Weka, Lustre, Ceph, or similar technologies and the data-access patterns of distributed AI workloads.\nExperience with infrastructure automation and lifecycle tooling such as Terraform, Ansible, CI/CD, BMC/Redfish, PXE/iPXE, or related systems.\nPrior solutions engineering, sales engineering, solutions architecture, or technical pre-sales experience in cloud, networking, security, AI infrastructure, or data center systems.\nCustomer-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.\nCustomer-facing security experience including access-control architecture, network isolation, enterprise security reviews, and SOC 2 / ISO 27001-style diligence or questionnaires.\nExperience defining or executing technical PoCs, reference architectures, cluster acceptance tests, performance benchmarks, migration plans, or production-readiness criteria.\nWhy Join Us:\nPurposeful Hiring: You’re not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build with matters.\nBuilders Wanted: You’re not just riding the rocket ship, you’re building it. Your work directly shapes the trajectory of our company.\nMission-Driven Work: We’re here to make a real impact. Our mission fuels everything we do.\nTackling Hard Problems: If easy isn’t your thing, you’re in the right place. We solve some of the most complex and exciting challenges in our space.\nExcellence Is The Standard: High performance isn’t just encouraged, it’s the baseline. And it’s contagious.\nCompensation\nGroq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay. The total cash salary range for this position, which is inclusive of the potential bonus value, is $270,400-$401,600, with individual placement determined by your geographic location, experience, skills, and alignment with internal compensation standards. This range is 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.\nUS Job Posting\nThis 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.\nNon-US Job Postings\nThis position may require access to technology and/or information subject to U.S. export control laws and regulations, as well as applicable local laws and regulations, including the Export Administration Regulations (EAR). To comply with these requirements, candidates for this role must meet all relevant export control eligibility criteria.\nGroq 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.\nGroq 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.\nGroq 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 . This contact is for accommodation requests only, which will be considered on a case-by-case basis.\nAll offers of employment are contingent upon verification of the applicant’s identity and employment authorization in accordance with federal law.\nGroq 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://w...","description_format":"text","description_chars":13009,"description_truncated":true,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","AI Compute & Inference","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-03T03:26:54Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 19 · green card filings: 2","filings_12m":19,"filings_prev_12m":12,"green_card_filings_12m":2,"median_offered_wage_usd":245357,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.417,"p_room":0.28,"age_days":136,"expected_fill_days":29,"reasons":["conf:0","wave","velocity","win:tail","crowd:"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/groq-sr-staff-forward-deployed-engineer","json_url":"https://alion.io/job/groq-sr-staff-forward-deployed-engineer.json","meta":{"generated_at":"2026-10-13T08:57:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":13351,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":99},"rest":"https://alion.io/mcp/rest/get_company?id=99"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgroq-sr-staff-forward-deployed-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgroq-sr-staff-forward-deployed-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgroq-sr-staff-forward-deployed-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/groq-sr-staff-forward-deployed-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgroq-sr-staff-forward-deployed-engineer"}]}