{"id":1407060,"url":"https://alion.io/job/nvidia-ai-software-engineer-lightspeed-studios","title":"AI Software Engineer, Lightspeed Studios","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":299,"ghost_share":0.017,"stale_share":0.381,"repost_share":0.033,"time_to_fill_p50_days":29,"computed_at":"2026-10-03T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States","United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":224000,"max":356500,"currency":"USD","period":"year","gross":null,"usd_annual":356500},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Diffusers","optional":false},{"name":"Diffusion Models","optional":false},{"name":"DLSS SDK","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"SGLang","optional":false},{"name":"TensorRT","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Triton","optional":false},{"name":"Unity","optional":false},{"name":"Unreal Engine","optional":false},{"name":"vLLM","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-09-28T18:14:41Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-04T00:54:03Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"At NVIDIA Lightspeed Studios we are passionate about pushing the limits of technology, and we're looking for a Senior Software Engineer to join our team! We help shape the future of games by combining the best AI and graphics technology NVIDIA has to offer with the most advanced games and tools in the industry. In this role, you'll help take new, unannounced projects powered by state-of-the-art AI models from research to real-time, interactive gaming experiences. If you're passionate about bringing generative AI to games, we'd love to hear from you!\nSome existing projects we've been working on:\nRTX Remix is an open-source modding platform for remastering classic games with full path tracing, DLSS 4.5, and generative AI tools that turn low-resolution textures into physically based materials. Newer features like RTX Remix Logic and Advanced Particle VFX let modders add dynamic, gameplay-driven effects: https://www.nvidia.com/en-us/geforce/rtx-remix/\nZorah is our neural rendering tech demo for the GeForce RTX 50 Series launch at CES 2025. It features massive, fully path-traced scenes in Unreal Engine 5, powered by RTX Neural Shaders, RTX Mega Geometry, and DLSS 4: https://developer.nvidia.com/rtx-kit\nProject R2X is a vision-enabled AI avatar for RTX PCs that can see the screen, assist with apps, and summarize documents. It is rendered with RTX Neural Faces and animated by a diffusion-based Audio2Face-3D model: https://nvidianews.nvidia.com/news/nvidia-launches-ai-foundation-models-for-rtx-ai-pcs\nNVIDIA AI for Gaming brings conversational, autonomous game characters to life with small on-device models for speech, intelligence, and animation. It powers AI teammates in PUBG: BATTLEGROUNDS, AI citizens in inZOI, and an in-game advisor in Total War: PHARAOH: https://developer.nvidia.com/ace-for-games\nWhat you'll be doing:\nBuild and ship software for upcoming, not-yet-announced projects that bring world models and video diffusion models to real-time gaming, from prototype to release.\nTrain, fine-tune, and evaluate models, including data curation and adapting models to game-specific content and controls.\nOptimize models and inference for latency, token throughput, and quality, using techniques such as distillation, quantization, and reduced-step sampling on RTX devices and in the cloud.\nProfile and remove bottlenecks across the stack, from model architecture to GPU kernels.\nIntegrate models into Unreal Engine, Unity, and custom engines, so they run efficiently alongside rendering.\nLead technical decisions, mentor other engineers, and collaborate with NVIDIA Research, rendering, and art teams.\nWhat we need to see:\nBS, MS, or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.\n12+ years of software engineering experience, including substantial hands-on work shipping AI, deep learning, or machine learning systems.\nExpert-level C++ and Python.\nHands-on experience training and fine-tuning deep learning models with PyTorch or a similar framework, including distributed training.\nExperience in one or more of these areas: video generation, world models, diffusion or flow-matching models, transformers, or neural rendering.\nExperience optimizing GPU inference with CUDA, TensorRT, TensorRT-LLM, or Triton.\nA track record of turning complex prototypes into shipped products, and clear communication across research, engineering, and art.\nWays to stand out from the crowd:\nHands-on experience with interactive, action-conditioned, or real-time world models or video generation.\nExperience developing custom CUDA or Triton kernels.\nExperience with game engine development or real-time rendering pipelines.\nOpen-source contributions (such as Diffusers, FastVideo, vLLM, SGLang, or TensorRT-LLM), publications, or patents.\nIf you're motivated to join the Lightspeed Studios Engineering team, please submit your resume and a cover letter explaining your proven experience and why you'd be a phenomenal fit for NVIDIA Lightspeed. We look forward to reviewing your application and potentially welcoming you to our team.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 2, 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":4985,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-09-28T18:14:41Z"}],"visa":[],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.894,"p_room":1,"age_days":4,"expected_fill_days":29,"reasons":["conf:6","velocity","win:early","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":356500,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-ai-software-engineer-lightspeed-studios","json_url":"https://alion.io/job/nvidia-ai-software-engineer-lightspeed-studios.json","meta":{"generated_at":"2026-10-04T02:40:45Z","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":3922,"day_limit":5000,"remaining_today":1078,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}