{"id":1134491,"url":"https://alion.io/job/nvidia-senior-system-software-engineer-gpu-sw","title":"Senior System Software Engineer - GPU SW","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":251,"ghost_share":0.012,"stale_share":0.327,"repost_share":0.032,"time_to_fill_p50_days":27,"computed_at":"2026-09-28T05:45:00Z"}},"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":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":184000,"max":287500,"currency":"USD","period":"year","gross":null,"usd_annual":287500},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"RTOS","optional":false},{"name":"Threat Modeling","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-29T00:12:32Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"NVIDIA is seeking a Senior System SW Engineer with expertise in systems software, GPU drivers, embedded software, and platform security. You will provide technical leadership for security and architecture initiatives across production GPU kernel drivers, embedded software, and next-generation NVIDIA platforms.\nYou will strengthen the security, reliability, and performance of NVIDIA products across datacenter, gaming, and other compute markets. Working with hardware, software, and security teams, you will build secure, high-performance solutions from architecture through production.\nWhat you’ll be doing:\nArchitect, design, implement, and verify security and systems features for GPU kernel drivers, embedded software, and next-generation GPU architectures.\nDrive secure-design practices across code, development processes, and product architecture; lead adoption across partner engineering organizations.\nConduct software and hardware security reviews, identify vulnerabilities and architectural risks, and guide mitigation strategies.\nDebug and resolve complex issues across drivers, operating-system kernels, embedded environments, hardware interfaces, and virtualization layers.\nBalance security, reliability, and performance requirements for datacenter-scale and performance-sensitive inference & training workloads.\nDefine and execute long-term security roadmaps in collaboration with global software, hardware, and product teams.\nWhat we need to see:\nBS/MS in Computer Engineering, Computer Science, Electrical Engineering, or a related field-or equivalent experience\n8+ years in systems software, embedded development, or security engineering.\nExperience securing low-level software, including operating-system kernels, device drivers, embedded systems, or platform software.\nStrong C programming, low-level driver development, and system-level debugging skills.\nExperience with Linux, Windows, Android, ChromeOS, or comparable operating-system kernels.\nSolid understanding of computer architecture, including processors, caches, buses, memory controllers, DMA, interrupts, and memory protection.\nDemonstrated technical leadership, ownership, and ability to drive complex cross-functional projects.\nClear written and verbal communication skills, including the ability to explain complex security and systems topics to varied audiences.\nWays to stand out from the crowd:\nExperience with offensive and defensive security, including threat modeling, vulnerability research, reverse engineering, and exploit mitigations. \nFamiliarity with Confidential Computing technology\nFamiliarity with virtualization and isolation technologies, including hypervisors, IOMMUs, and virtual machines.\nExperience with GPU-driver architecture, embedded firmware/software, RTOS environments, RISC-V, or resource-constrained systems.\nProven ability to apply security principles across tightly integrated hardware and software systems.\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!\nWith competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and hardworking people in the world working for us. Due to outstanding growth, our skilled engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until September 26, 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":4425,"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":["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":"2026-09-23T07:00:04Z"}],"liveness":{"score":88,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.878,"p_room":1,"age_days":6,"expected_fill_days":27,"reasons":["conf:23","velocity","win:early","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":{"stated_usd_annual":287500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-senior-system-software-engineer-gpu-sw","json_url":"https://alion.io/job/nvidia-senior-system-software-engineer-gpu-sw.json","meta":{"generated_at":"2026-09-29T01:44:51Z","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":"assistant","counted_by":"address","units_charged":1,"used_today":285,"day_limit":2000,"remaining_today":1715,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}