{"id":2210896,"url":"https://alion.io/job/nvidia-software-engineer-sre-and-production-engineering-dgx-cloud","title":"Software Engineer, SRE and Production Engineering - DGX Cloud","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":396,"ghost_share":0.015,"stale_share":0.472,"repost_share":0.033,"time_to_fill_p50_days":29,"computed_at":"2026-10-10T05:45:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":184000,"max":287500,"currency":"USD","period":"year","gross":null,"usd_annual":287500},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ArgoCD","optional":false},{"name":"GitOps","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"NVLink","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T01:06:07Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"NVIDIA DGX Cloud builds and operates large-scale GPU infrastructure for AI workloads. We are looking for Software Engineers with SRE or Production Engineering experience who have worked hands-on with bare-metal NVIDIA systems. This team builds the software and operational tooling that moves GPU capacity from installed hardware to production service supporting an IaaS production environment of BMaaS, VMaaS.\nWhat makes this opportunity outstanding is the chance to work with innovative technology to develop the future of AI computing. Join us to be part of a world-class team and make an impact on the next era of computing! At NVIDIA, you’ll help make next-generation AI infrastructure production-ready at scale!\nWhat you’ll be doing:\nBuild automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management.\nBuild tools using BMC and Redfish interfaces to assess hardware health, regulate server state, and facilitate recovery workflows.\nManage and enhance NVIDIA NVL72 systems and BlueField-3 or later DPUs within cloud partner and on-premises environments.\nDiagnose failures across servers, DPUs, GPU systems, CPU systems, networking, Linux, and Kubernetes; turn recurring issues into automated detection and repair.\nDefine validation and handoff criteria so new capacity enters production safely and consistently.\nTake part in on-call duties, incident response, root-cause analysis, and ensure permanent resolutions are implemented.\nCollaborate with hardware, networking, platform, data center operations, and partner teams to resolve issues across ownership boundaries.\nWhat we need to see:\n8+ years building software for or operating production infrastructure, including substantial hands-on bare-metal experience.\nStrong Go or Python skills, with a record of delivering production automation and services.\nDirect experience working with BMC and Redfish for server provisioning, health inspection, power control, or fault diagnosis.\nPractical experience working directly with NVIDIA GPU hardware, including NVL72 systems, and BlueField-3 or later DPUs.\nExperience with Linux, firmware and driver management, network boot, and the server lifecycle from initial provisioning through repair.\nExperience managing production reliability via on-call duties, incident handling, observability, and durable solutions.\nAbility to debug failures across hardware, host operating systems, networking, and distributed services.\nClear communication and demonstrated ownership of problems that span multiple teams.\nBS/MS in Computer Science or equivalent experience in a related field.\nWays to stand out from the crowd:\nExperience operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging, or equivalent experience.\nBackground with NVLink, InfiniBand, Spectrum-X, or GPU cluster performance validation.\nExperience building safe, repeatable workflows for rack-scale bringup, firmware upgrades, hardware replacement, and customer handoff.\nBackground with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 13, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","description_format":"text","description_chars":3954,"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"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-10T02:38:54Z"}],"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":29,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-software-engineer-sre-and-production-engineering-dgx-cloud","json_url":"https://alion.io/job/nvidia-software-engineer-sre-and-production-engineering-dgx-cloud.json","meta":{"generated_at":"2026-10-12T01:16:57Z","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":1422,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-software-engineer-sre-and-production-engineering-dgx-cloud"},{"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%2Fnvidia-software-engineer-sre-and-production-engineering-dgx-cloud"},{"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%2Fnvidia-software-engineer-sre-and-production-engineering-dgx-cloud"},{"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/nvidia-software-engineer-sre-and-production-engineering-dgx-cloud\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-software-engineer-sre-and-production-engineering-dgx-cloud"}]}