{"id":1551635,"url":"https://alion.io/job/nvidia-senior-gpu-compiler-development-engineer","title":"Senior GPU Compiler Development Engineer","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":89,"open_postings":297,"ghost_share":0.02,"stale_share":0.367,"repost_share":0.04,"time_to_fill_p50_days":28,"computed_at":"2026-10-01T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Bengaluru, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":63000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Assembly","optional":false},{"name":"C++","optional":false},{"name":"Claude","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Cursor","optional":false},{"name":"HPC","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"OpenCL","optional":false}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-01T18:49:34Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"We are looking for an experience compiler engineer for an exciting role in the GPU Assembler team. Join the GPU Assembler team and help build tools that enable creation of most performant applications and libraries for HPC, DL and Autonomous Driving domain. Work with key HPC developers around the world to help them achieve the best performance & efficiency on current and next generation NVIDIA GPUs by developing best in industry Assembler and Code Analysis Tools. We will be part of a team that develops a core component of our platform for accelerating general purpose computation on the GPU. Disassembler (NVDISASM) developed by the team is used by all the CUDA users worldwide to analyze their binaries with various code analysis features built into the disassembler. Assembler is used for achieving the best performance for key DL applications.\nWhat you will be doing:\nLead design and development of NVIDIA’s Assembler and Disassembler for GPU compute.\nWork on binary analysis & instrumentation features like call graphs generation, program register usage and patching of GPU binaries\nWork with GPU architecture and debugger/profiler development teams to understand their requirements and deliver new features & product improvements.\nCollaborate closely with teams developing other related components to ensure compatibility, reliability, and high-quality code generation\nWorking with customers/partners to collect feedback and drive innovative ideas and features to incorporate into the product\nWhat we need to see:\nBS or MS degree in Computer Science, Computer Engineering, or related fields with 8+ years of experience in low-level system SW development and a minimum of 6 years of development in compilers, assemblers, binary utilities, binary analysis tools.\nGood analytical and C/C++ programming skills\nExperience in any one area of compiler development including feature support, code generation and compiler infrastructure.\nGood understanding of Assembly Language, Processor ISA (GPU ISA a plus) and processor architecture.\nKnowledge of object file formats such as ELF and debugging formats (DWARF).\nWays to stand out from the crowd:\nUnderstanding of debugger / profiler tools / bintools / Linker internals, experience in binary analysis / instrumentation tools like BOLT etc.\nUsage of AI tools in everyday work like Cursor, Codex, Claude etc.\nKnowledge of GPU development and compute APIs such as CUDA and OpenCL.","description_format":"text","description_chars":2430,"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":[],"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":"2026-10-01T00:25:15Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":28,"reasons":["conf:5","velocity","win:early","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-senior-gpu-compiler-development-engineer","json_url":"https://alion.io/job/nvidia-senior-gpu-compiler-development-engineer.json","meta":{"generated_at":"2026-10-02T00:21:26Z","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":191,"day_limit":5000,"remaining_today":4809,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}