{"id":3034843,"url":"https://alion.io/job/nvidia-engineering-technician-datacenter-performance","title":"Engineering Technician, Datacenter Performance","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":"B","score":80,"open_postings":805,"ghost_share":0.024,"stale_share":0.732,"repost_share":0.043,"time_to_fill_p50_days":35,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Field & Service","role_family":"Field & Service","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60000,"max":101200,"currency":"USD","period":"year","gross":null,"usd_annual":101200},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Configuration Management","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-21T21:09:58Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-24T08:48:21Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology-and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.\nNVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today. We are now looking for a Senior Validation Engineer in the DGX Server Product Engineering Team. In this role you will be working with a team of HW/SW engineers to develop and implement complex automated test plans for our industry leading GPU accelerated computing products.\nWhat you will be doing:\nDeploy, operate, and maintain GPU and compute infrastructure in a hardware lab, partnering with hardware, firmware, software, and engineering teams.\nCoordinate rack shipments, receiving, placement, and installation, including power, cooling, and network connections.\nTroubleshoot system issues across hardware, firmware, and software; drive root-cause investigation and coordinate corrective actions with the responsible engineering teams.\nService systems, including replacing components, cables, and compute trays.\nManage system and rack enrollment, configuration, and removal through cluster management and provisioning software such as NVIDIA Base Command Manager (BCM) or NVIDIA Infra Controller (NICo).\nPerform firmware and software updates, verify system configurations, and run system diagnostics and system health checks before releasing hardware to engineering teams.\nDevelop scripts and automation to simplify routine maintenance, diagnostics, configuration checks, and inventory tracking.\nMaintain accurate hardware inventory, IP address reservations, and connectivity records; document procedures and share knowledge with team members.\nWhat We Need to See:\nAbility to work on site in a hardware lab environment 5 days a week.\nAssociate degree in electronics, computer technology, or a related field, or equivalent hands-on experience.\n5+ years of experience operating in a technician capacity.\nHands-on experience operating, servicing, and troubleshooting server or datacenter infrastructure, including GPU-based systems.\nAbility to investigate hardware, firmware, and software failures, collect diagnostic evidence, and work with engineering teams to resolve issues.\nFamiliarity with x86 and Arm server architectures, GPU hardware, and common server components.\nComfort using Linux command-line tools for system diagnostics, firmware updates, and configuration management.\nExperience with hardware provisioning and cluster management tools.\nWorking knowledge of scripting or automation tools used to reduce repetitive tasks and improve operational consistency.\nFamiliarity with rack power, cooling, network cabling, IP addressing, and safe hardware handling.\nStrong organizational skills and attention to detail in maintaining inventory, configuration records, and technical documentation.\nWays to stand out from the crowd:\nExperience supporting pre-production GPU platforms, high-density racks, or liquid-cooled systems.\nExperience automating system provisioning, health checks, firmware updates, or configuration management using Python, shell scripting, Ansible, or similar tools.\nExperience validating system readiness before engineering handoff and creating procedures or training materials that help others support the infrastructure.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 60,000 USD - 101,200 USD for Level 3, and 72,000 USD - 120,750 USD for Level 4.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 25, 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":5206,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"associate","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":"2026-10-21T21:09:58Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":35,"reasons":["conf:21","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":101200,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-engineering-technician-datacenter-performance","json_url":"https://alion.io/job/nvidia-engineering-technician-datacenter-performance.json","meta":{"generated_at":"2026-10-26T06:01:38Z","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":8075,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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-engineering-technician-datacenter-performance"},{"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-engineering-technician-datacenter-performance"},{"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-engineering-technician-datacenter-performance"},{"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-engineering-technician-datacenter-performance\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-engineering-technician-datacenter-performance"}]}