{"id":1158327,"url":"https://alion.io/job/nvidia-senior-engineer-performance","title":"Senior Engineer, 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":"A","score":91,"open_postings":243,"ghost_share":0.012,"stale_share":0.305,"repost_share":0.033,"time_to_fill_p50_days":27,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","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":136000,"max":212750,"currency":"USD","period":"year","gross":null,"usd_annual":212750},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-23T22:28:52Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-27T06:11:38Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"As a Performance Engineer at NVIDIA, you will be part of a team that’s advancing the limits of what technology can achieve. This is an outstanding opportunity to work at the forefront of AI, accelerated computing, and modern graphics technologies. You will play a crucial role in crafting the future of our products and influencing key business decisions. If you’re passionate about performance analysis and eager to contribute to world-class innovations, this is the perfect role for you!\nWhat you’ll be doing:\nWork directly with Marketing, Architecture, and Engineering across Enterprise business units to provide competitive and internal data analysis. Your insights will set industry performance expectations, support new product initiatives, and influence business decisions.\nBring-up, maintain, and debug pre-production, reference, and consumer hardware to help build the next great NVIDIA product.\nRun performance, image quality, and power tests of Professional Visualization, AI, and LLM benchmark applications on various GPUs\nDevelop and maintain Python-based automation scripts and tools to streamline benchmarking procedures and balance configuration files.\nDesign new tools and create efficient processes to improve benchmarking analysis and reporting workflows\nAnalyze and validate results from test runs and craft reports that will be used by various groups within the company.\nWhat we need to see:\nBachelor’s degree or equivalent experience in a technical or business marketing field along with 5+ years of experience.\nKnowledge of Enterprise Workstation/AI/LLM application benchmarking fundamentals, performance analysis, and competitive data comparisons.\nDeep understanding in the field 3D application performance testing methods and techniques.\nExcellent programming and debugging skills in a scripting language; Python preferred.\nExpert knowledge of hardware & PC components to identify and root-cause performance bottlenecks.\nStrong verbal and written interpersonal skills.\nDemonstrated ability to balance multiple simultaneous projects successfully.\nWays to stand out from the crowd:\nStrong skills or previous experience in benchmarking and competitive analysis.\nExperience with LLM development and deployment.\nKnowledge of NVIDIA hardware and NVIDIA software products.\nStrong collaboration and interpersonal skills.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until September 27, 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":3179,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","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":"2026-09-23T22:28:52Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":27,"reasons":["conf:23","velocity","win:early","comp:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":{"stated_usd_annual":212750,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-engineer-performance","json_url":"https://alion.io/job/nvidia-senior-engineer-performance.json","meta":{"generated_at":"2026-09-28T04:32:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2804,"day_limit":5000,"remaining_today":2196,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}