{"id":3686530,"url":"https://alion.io/job/nvidia-compiler-verification-engineer-compute-performance-gpu-2","title":"Compiler Verification Engineer, Compute Performance – GPU","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":84,"open_postings":772,"ghost_share":0.022,"stale_share":0.583,"repost_share":0.04,"time_to_fill_p50_days":40,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States","Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Confluence","optional":false},{"name":"CUDA","optional":false},{"name":"Git","optional":false},{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-03T20:57:00Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"NVIDIA's invention of the GPU 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 - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”.\nWe are looking for a Verification Engineer, Compute Performance to join our Compiler Verification Team!\nWhat you’ll be doing:\nAnalysis: Analyze performance degradation or functional defect of compilers, identify regression root cause, suggest corrective action, and perform reviews to continuously improve testing.\nTest Automation: Automate compiler testing using NVIDIA test frameworks and by programming. Includes test execution, test reporting, and results analysis and automation of build and test environments. Work with software compiler developers and assist in providing automated solutions for unit testing.\nTest Operations: Apply test suites to find, report and track compiler performance changes. Work with development team to drive regressions to resolution. Generate statistics based on performance data, identify and investigate outliers and monitor performance trends. Maintain historical data and baselines for comparison.\nCompiler Test Development: Develop and review test plans, implement test cases, automate tests, integrate tests into NVIDIA test management frameworks, port 3rd party testing, and author test reports. May include integrating already existing tests into the compiler test automation.\nProcess Improvement: Apply current iterative planning and test development processes. As part of team, identify potential or observed weaknesses in current process, offer ideas for actions that can improve quality, and participate in quality initiatives.\nWhat we need to see:\nBachelor’s or Master’s Degree or equivalent experience.\n2+ years’ work experience in a software development or test organization\nExcellent communications skills, self-motivated and well organized.\nDeep understanding of Software Development Life Cycle (SDLC), High-Performance Computing (HPC), and Software Testing Methodologies.\nCompiler Domain Expertise: You should understand how compilers work and how compilers are implemented. Proven strength in problem solving and implement solutions.\nAbility to work with various teams to generate a solution for performance regression and be productive under tight schedules, and have strong analytical skills with attention to detail.\nYou have experience writing test plans, test development, test automation, test execution and reporting in a production environment.\nProgramming Languages: Have experience programming and/or testing in C/C++/CUDA as well as scripting languages (Python, Perl, Shell)\nWays to stand out from the crowd:\nProficient proven experience in testing production software. Preferably compiler or other system software.\nPrevious compiler development and/or compiler verification/test or performance analysis experience.\nExperience with NVIDIA CUDA Toolkit, especially solving issues and debugging in Linux environment.\nBackground with revision control software and management tools, such as Git, Perforce, JIRA, Confluence and Make.\nFamiliarity with statistical analysis tools for identifying and isolating out-of-bound behavior\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until November 6, 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. 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