Senior AI Software Engineer Jobs in USA with Visa Sponsorship
Senior AI Software Engineer roles are among the most actively H-1B visa sponsored positions in the U.S. tech industry. Employers regularly petition for candidates with machine learning expertise, and the specialty occupation requirement is straightforward to satisfy with a relevant bachelor's degree or higher. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
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!
Some existing projects we've been working on:
- RTX 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/
- Zorah 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
- Project 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
- NVIDIA 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
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Build 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.
- Train, fine-tune, and evaluate models, including data curation and adapting models to game-specific content and controls.
- Optimize 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.
- Profile and remove bottlenecks across the stack, from model architecture to GPU kernels.
- Integrate models into Unreal Engine, Unity, and custom engines, so they run efficiently alongside rendering.
- Lead technical decisions, mentor other engineers, and collaborate with NVIDIA Research, rendering, and art teams.
BASIC QUALIFICATIONS
What we need to see:
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- 12+ years of software engineering experience, including substantial hands-on work shipping AI, deep learning, or machine learning systems.
- Expert-level C++ and Python.
- Hands-on experience training and fine-tuning deep learning models with PyTorch or a similar framework, including distributed training.
- Experience in one or more of these areas: video generation, world models, diffusion or flow-matching models, transformers, or neural rendering.
- Experience optimizing GPU inference with CUDA, TensorRT, TensorRT-LLM, or Triton.
- A track record of turning complex prototypes into shipped products, and clear communication across research, engineering, and art.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Hands-on experience with interactive, action-conditioned, or real-time world models or video generation.
- Experience developing custom CUDA or Triton kernels.
- Experience with game engine development or real-time rendering pipelines.
- Open-source contributions (such as Diffusers, FastVideo, vLLM, SGLang, or TensorRT-LLM), publications, or patents.
If 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.
COMPENSATION
Your 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.
Applications for this job will be accepted at least until October 2, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA 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.
INTRODUCTION
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!
Some existing projects we've been working on:
- RTX 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/
- Zorah 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
- Project 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
- NVIDIA 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
ROLE AND RESPONSIBILITIES
What you'll be doing:
- Build 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.
- Train, fine-tune, and evaluate models, including data curation and adapting models to game-specific content and controls.
- Optimize 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.
- Profile and remove bottlenecks across the stack, from model architecture to GPU kernels.
- Integrate models into Unreal Engine, Unity, and custom engines, so they run efficiently alongside rendering.
- Lead technical decisions, mentor other engineers, and collaborate with NVIDIA Research, rendering, and art teams.
BASIC QUALIFICATIONS
What we need to see:
- BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- 12+ years of software engineering experience, including substantial hands-on work shipping AI, deep learning, or machine learning systems.
- Expert-level C++ and Python.
- Hands-on experience training and fine-tuning deep learning models with PyTorch or a similar framework, including distributed training.
- Experience in one or more of these areas: video generation, world models, diffusion or flow-matching models, transformers, or neural rendering.
- Experience optimizing GPU inference with CUDA, TensorRT, TensorRT-LLM, or Triton.
- A track record of turning complex prototypes into shipped products, and clear communication across research, engineering, and art.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- Hands-on experience with interactive, action-conditioned, or real-time world models or video generation.
- Experience developing custom CUDA or Triton kernels.
- Experience with game engine development or real-time rendering pipelines.
- Open-source contributions (such as Diffusers, FastVideo, vLLM, SGLang, or TensorRT-LLM), publications, or patents.
If 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.
COMPENSATION
Your 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.
Applications for this job will be accepted at least until October 2, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA 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.
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Get Access To All JobsTips for Finding Visa Sponsorship as a Senior AI Software Engineer
Target companies with H-1B sponsorship history
Large tech employers like Google, Microsoft, Amazon, and Meta sponsor hundreds of AI engineering roles annually. Focusing your search on companies with a demonstrated H-1B filing history dramatically improves your odds of receiving a sponsorship offer.
Emphasize your ML stack in applications
Employers filing H-1B petitions for AI engineers need to justify the specialty occupation requirement. A resume that clearly maps your PyTorch, TensorFlow, or LLM experience to the specific role description strengthens both your application and their petition.
Start the H-1B process before your OPT expires
H-1B cap filings open in March for an October 1 start date. If your OPT expires before October, confirm your employer will apply for a cap-gap extension to keep you authorized through the transition without a gap in employment.
Consider O-1A if you have notable research or publications
Senior AI engineers with published papers, patents, or conference presentations at NeurIPS or ICML may qualify for the O-1A extraordinary ability visa. It bypasses the H-1B lottery entirely and can be filed year-round without a cap.
Understand how the H-1B lottery affects your timeline
With a roughly 25% selection rate, H-1B lottery results are uncertain. Discuss backup authorization strategies with your employer early, including OPT extensions, L-1 visa transfers if you have overseas experience, or cap-exempt employer options like universities.
Browse roles on Migrate Mate to filter for sponsorship
Not every job posting makes visa sponsorship clear upfront. Migrate Mate surfaces Senior AI Software Engineer roles from employers actively open to sponsorship, saving you time and reducing the uncertainty of cold applications to companies with no sponsorship track record.
Frequently Asked Questions
Does a Senior AI Software Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. Senior AI Software Engineer positions consistently qualify as H-1B visa specialty occupations because the role requires at minimum a bachelor's degree in computer science, electrical engineering, mathematics, or a closely related field. USCIS has approved thousands of H-1B petitions for AI and machine learning engineering roles. Employers should document that the degree requirement is standard industry practice for the position, which is well-established in AI engineering.
What degree do I need for visa sponsorship as a Senior AI Software Engineer?
Most employers and USCIS require a bachelor's degree or higher in computer science, data science, mathematics, or a related technical field. A degree in an unrelated field is unlikely to satisfy the specialty occupation standard unless paired with substantial graduate coursework in AI or ML. If your degree is from outside the U.S., a credential evaluation confirming U.S. equivalency strengthens the petition.
How competitive is H-1B sponsorship for AI engineering roles compared to other tech jobs?
AI and machine learning engineering roles are among the most frequently sponsored H-1B occupations. Employers are highly motivated to sponsor because qualified candidates are scarce relative to demand. That said, H-1B selection is determined by lottery, not by role type or employer. Your best lever is targeting large employers with cap-exempt research divisions or companies with strong petition approval histories. Migrate Mate can help you identify which employers are actively sponsoring.
Can I get sponsored on an E-3 or TN visa as a Senior AI Software Engineer?
Australian citizens can pursue sponsorship through the E-3 visa, which has no lottery and a far higher approval rate than H-1B. Senior AI Software Engineer roles qualify as specialty occupations under E-3 with the same degree requirements. Canadian and Mexican nationals may qualify under the TN visa's computer systems analyst category, though the role title and duties need to map precisely to the approved TN occupation list.
Do employers need to pay anything to sponsor a Senior AI Software Engineer on an H-1B?
Yes, and the employer bears those costs, not the employee. Filing fees vary by employer size and whether premium processing is used, but they are legally required to cover all mandatory H-1B costs. Employers cannot pass government filing fees to the employee. If a company asks you to cover H-1B filing costs, that is a legal violation and a red flag. Most legitimate tech employers absorb these costs without hesitation.
What is the prevailing wage requirement for sponsored Senior AI Software Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.