{"id":2916176,"url":"https://alion.io/job/buildxpartners-graphicsai-performance-engineer-staff-senior","title":"Graphics/AI Performance Engineer - Staff / Senior","company":{"id":3800477,"name":"Buildxpartners","domain":"buildxpartners.com","url":"https://alion.io/company/buildxpartners","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"D","score":54,"open_postings":53,"ghost_share":0.774,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":84000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"DirectX","optional":false},{"name":"OpenCL","optional":false},{"name":"OpenGL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Synopsys PrimeTime","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"SystemVerilog","optional":true},{"name":"Verilog","optional":true}],"status":"live","first_seen_at":"2026-06-18T00:00:00Z","employer_posted_date":"2026-06-18","last_verified_at":"2026-10-23T09:13:01Z","board_verified":true,"closed_at":null,"days_open":127,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":127},"description":"Senior Engineer: 6 - 12 years\nStaff Engineer: 8 - 15 years\n\nAbout the Opportunity\n\nWe are hiring on behalf of our client, a leading global semiconductor and technology company, for a Graphics/AI Performance Engineer to work on next-generation GPU architectures and AI workloads. The role focuses on performance analysis, power optimization, workload characterization, and architectural improvements for graphics and AI applications.\nKey Responsibilities\nDevelop and maintain GPU power and performance models for graphics and AI workloads.\nAnalyze GPU architecture and microarchitecture to identify performance and power optimization opportunities.\nEvaluate AI workload behavior and correlate performance metrics with power consumption.\nIdentify system bottlenecks and propose hardware, software, or algorithmic optimizations.\nCollaborate with architecture, hardware, software, compiler, driver, and ML teams.\nPerform power-performance tradeoff studies and provide data-driven recommendations.\nContribute to future GPU architecture and roadmap planning.\nRequired Qualifications\nBachelor's degree with 6+ years, Master's degree with 5+ years, or PhD with 4+ years of relevant experience.\nStrong understanding of CPU/GPU architecture and microarchitecture.\nExperience in performance analysis, workload characterization, and system optimization.\nExperience with low-power ASIC design techniques.\nProficiency in C/C++ and Python.\nExperience with AI/ML frameworks such as TensorFlow or PyTorch.\nKnowledge of GPU computing technologies such as CUDA, OpenCL, Vulkan, OpenGL, or DirectX.\nExperience with power analysis tools such as PrimeTime PX, Power Artist, or similar tools.\nUnderstanding of GPU drivers, compilers, and runtime software is a plus.\nExposure to Verilog/SystemVerilog is desirable.\nPreferred Skills\nGraphics performance analysis.\nAI workload optimization.\nGPU architecture and performance modelling.\nLow-power design methodologies.\nHardware-software co-optimization.\nPerformance benchmarking and 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