{"id":4029745,"url":"https://alion.io/job/atoms-staff-engineer-infrastructure-hpc-ai-compute","title":"Staff Engineer, Infrastructure – HPC & AI Compute","company":{"id":1533,"name":"Atoms","domain":"atoms.co","url":"https://alion.io/company/atoms","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":92,"open_postings":68,"ghost_share":0,"stale_share":0.324,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":224000,"max":284000,"currency":"USD","period":"year","gross":null,"usd_annual":284000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Ansible","optional":false},{"name":"Bash","optional":false},{"name":"C++","optional":false},{"name":"Configuration Management","optional":false},{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"InfiniBand","optional":true},{"name":"Kubernetes","optional":true},{"name":"SLURM","optional":true}],"status":"live","first_seen_at":"2026-11-10T17:22:32Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-13T20:24:52Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Who we are\nPronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field.\nWe are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company.\nWhat you’ll do\nAs a Staff Engineer focused on HPC & AI Compute Infrastructure, you’ll help build the physical computing infrastructure powering Atoms’ AI, robotics, and autonomous systems. You'll work closely with our Infrastructure, AI, and engineering teams to bring immediate GPU capacity online while architecting the foundation for thousands of GPUs, large-scale CPU compute, and Exabyte-scale storage. This is a hands-on role spanning hardware, software, networking, storage, and data-center infrastructure, where you'll own complex technical challenges from initial requirements through deployment and production.\nBuild AI compute infrastructure from the ground up. Lead the design, deployment, and commissioning of physical GPU and HPC infrastructure, including an intermediate data-center environment in San Francisco, to support autonomous systems, AI/ML workloads, and large-scale simulation.\nArchitect for scale. Define the technical foundation to grow from initial deployments to thousands of GPUs, large-scale CPU compute, and Exabyte-scale storage, balancing performance, reliability, scalability, and cost.\nOwn compute and hardware architecture. Evaluate and specify GPU servers, CPUs, memory, networking components, storage systems, and rack configurations based on workload requirements and infrastructure constraints.\nDesign high-performance networking and storage. Work across cluster interconnects, high-bandwidth networking, distributed storage, and data movement to support compute-intensive workloads.\nPartner on physical data-center delivery. Collaborate with facilities, real estate, and infrastructure teams to translate compute requirements into power, cooling, rack density, space, and connectivity specifications.\nDrive infrastructure deployment end to end. Work with hardware manufacturers, vendors, and internal teams on technical evaluations, bills of materials, procurement planning, installation, integration, validation, and production readiness.\nAutomate infrastructure operations. Develop tooling and processes for bare-metal provisioning, configuration management, monitoring, hardware validation, incident response, and failure recovery to make deployments repeatable and reliable.\nOwn capacity planning and operational reliability. Anticipate infrastructure bottlenecks, troubleshoot complex hardware and software issues, and continuously improve performance, utilization, and availability as compute demand grows.\nWhat we’re looking for\nWe're looking for a hands-on infrastructure engineer who has experience building and scaling physical compute environments, from initial system design through deployment and production. You should be comfortable working across hardware, software, networking, storage, and data-center infrastructure, bringing deep technical expertise and the ability to lead complex engineering initiatives. We're looking for someone who can move quickly to deliver immediate compute capacity while building the technical foundation for long-term scale.\nBasic qualifications\nBachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.\n8+ years of experience in infrastructure engineering, systems engineering, high-performance computing, data-center engineering, or related technical disciplines.\nDemonstrated experience designing, deploying, commissioning, or significantly expanding physical compute infrastructure, including HPC clusters, GPU systems, or large-scale data-center environments.\nProven ability to lead complex infrastructure initiatives from technical requirements and architecture through implementation, production readiness, and ongoing operations.\nStrong systems engineering foundation across Linux, server hardware, networking, and storage, with deep technical expertise in multiple areas.\nExperience working with high-performance or large-scale computing environments, including GPU/CPU clusters, distributed computing, AI/ML infrastructure, simulation, or comparable workloads.\nHands-on experience developing infrastructure automation or tooling using Python, Go, Bash, C++, Ansible, or similar technologies.\nExperience evaluating hardware configurations, networking and storage technologies, vendor solutions, and performance, reliability, and cost tradeoffs.\nWorking knowledge of data-center infrastructure requirements, including power, cooling, rack density, cabling, and network connectivity.\nStrong troubleshooting skills and experience diagnosing complex production issues across hardware, operating systems, networking, and storage.\nAbility to operate independently in fast-moving environments, navigate ambiguity, collaborate across engineering disciplines, and drive technical decisions without relying on established processes.\nNice to have \nExperience building or operating large-scale AI/ML training clusters, GPU supercomputers, or high-density HPC environments.\nExperience in industries such as AI infrastructure, autonomous vehicles, robotics, scientific computing, semiconductor engineering, hyperscale data centers, or GPU cloud infrastructure.\nFamiliarity with NVIDIA DGX/HGX systems, InfiniBand, RDMA/RoCE, Slurm, Kubernetes, or other HPC and distributed computing technologies.\nExperience with distributed storage technologies such as Ceph, Lustre, GPFS/Spectrum Scale, BeeGFS, or similar systems.\nExperience with bare-metal provisioning and cluster automation using PXE, xCAT, Warewulf, NVIDIA Base Command Manager, or comparable tools.\nExposure to modular data centers, liquid cooling, high-density rack deployments, and large-scale power and cooling infrastructure.\nExperience working directly with hardware OEMs, infrastructure vendors, procurement teams, and facilities partners on capacity planning, infrastructure deployments, and capital expenditure decisions.\nWhy join us \nWork on real, production-deployed autonomy.\nBuild technology that directly improves safety, efficiency, and productivity.\nTackle complex challenges in demanding, real-world environments.\nBe part of a fast-moving team with high ownership and impact.\nSee your work deployed and making a difference in the field.\nCollaborate closely with experienced engineers and industry operators.\nWhat else you need to know \nThis role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. \nThe base salary range for this role is$224,000 - $284,000 per year.\nActual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.\nBase salary is just one part of your total rewards package. You may also be eligible for equity awards.\nBenefits Summary (USA Full-Time Exempt Employees):\nMedical, Dental, Vision, Disability, and Life Insurance\nFlexible Spending Account / Health Savings Account Options\n401(k)\nEquity\nSick Time, Unlimited Flexible Time Off, and Paid Holidays\nPaid Parental Leave \nPre-Tax Commuter Benefit Plan\nTeam lunch in our SoMa office every Tuesday and Thursday\nBenefits are subject to change at the company's discretion.\nPronto accepts applications on an ongoing basis.\nReady to join us as we serve those who serve others? \n#LI-Onsite","description_format":"text","description_chars":8002,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible time off","Life insurance","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Industrial Automation","Industrial Robotics","Mining & Heavy Industry Robotics"],"lifecycle":[{"event":"open","at":"2026-11-10T18:14:17Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":55,"reasons":["conf:4","velocity","win:early","comp:brand"],"computed_at":"2026-11-12T10:38:37Z"},"pay":{"stated_usd_annual":284000,"is_top_pay":true},"html_url":"https://alion.io/job/atoms-staff-engineer-infrastructure-hpc-ai-compute","json_url":"https://alion.io/job/atoms-staff-engineer-infrastructure-hpc-ai-compute.json","meta":{"generated_at":"2026-11-14T01:06:06Z","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":453,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":1533},"rest":"https://alion.io/mcp/rest/get_company?id=1533"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fatoms-staff-engineer-infrastructure-hpc-ai-compute"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fatoms-staff-engineer-infrastructure-hpc-ai-compute"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fatoms-staff-engineer-infrastructure-hpc-ai-compute"},{"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/atoms-staff-engineer-infrastructure-hpc-ai-compute\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fatoms-staff-engineer-infrastructure-hpc-ai-compute"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4029745}},{"tool":"search_jobs","arguments":{"company":"atoms.co","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4029745},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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