Software Product Manager Jobs at NVIDIA with Visa Sponsorship
NVIDIA's Software Product Manager roles sit at the intersection of GPU architecture, AI platforms, and enterprise software strategy. NVIDIA has a strong track record of sponsoring international talent for this function, covering both temporary work visas and permanent residence pathways for qualified candidates.
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At NVIDIA we meet customers where they are on their AI journey on our GPUs - this means we build best in class frameworks in OSS and support a robust eco-system of other OSS frameworks. As a Product Manager for AI Platform Recommender Systems, you will be responsible for building products for enabling frontier RecSys and Generative Recommendation Models on Nvidia systems.
As NVIDIA Product Managers, our goal is to enable researchers and operators to be successful on the NVIDIA Platform, and push the boundaries of what is possible in their research and research-to-production! Generative Recommender models are gaining momentum amongst our customers and partners. As Product Managers, we are the champions inside NVIDIA for frontier model builders looking to push the bounds of scale for current and emerging modeling paradigms on GPUs. We work directly with customers to identify key improvements, create roadmaps, and stay alert on the training/post training landscape. We also work with NVIDIA leaders to define clear product strategy, and marketing team teams to build go-to-market plans. The Product Management organization at NVIDIA is a small, strong, and impactful group. We focus on enabling deep learning across all GPU use cases and providing great products for our users. We are seeking a rare blend of product skills, technical depth, and passion to make NVIDIA great. Does that sound familiar? If so, we would love to hear from you!
What you'll be doing:
- Create and optimize pre-training/inference and post-training frameworks for RecSys and Generative Recommender researchers and production model builders
- Develop product strategy, roadmaps, and go-to-market plans
- Collaborate with internal and external customers to build product-based roadmaps for the E2E ML lifecycle
- Work with leadership to align with and drive company strategy
What we need to see:
- Experience with design and scaling of training/inference post training and optimization software (Torchtitan, FSDP)
- Demonstrable knowledge of GenAI or machine learning concepts, particularly around model training, performance optimization, inference, and software development and delivery
- Experience with large scale distributed systems
- BS or MS degree in Computer Science, Computer Engineering, or similar experience (or equivalent experience)
- 10+ years of technical product management, or similar, experience at a technology company
- Strong communication and interpersonal skills
Ways to Stand Out from the crowd:
- Experience leading GR systems - GEM, TIGER
- Working on Open Source & Github-first developer products with deep customer interactions
- Knowledge of GPU architecture, HW/SW co-design, and performance profiling
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.

At NVIDIA we meet customers where they are on their AI journey on our GPUs - this means we build best in class frameworks in OSS and support a robust eco-system of other OSS frameworks. As a Product Manager for AI Platform Recommender Systems, you will be responsible for building products for enabling frontier RecSys and Generative Recommendation Models on Nvidia systems.
As NVIDIA Product Managers, our goal is to enable researchers and operators to be successful on the NVIDIA Platform, and push the boundaries of what is possible in their research and research-to-production! Generative Recommender models are gaining momentum amongst our customers and partners. As Product Managers, we are the champions inside NVIDIA for frontier model builders looking to push the bounds of scale for current and emerging modeling paradigms on GPUs. We work directly with customers to identify key improvements, create roadmaps, and stay alert on the training/post training landscape. We also work with NVIDIA leaders to define clear product strategy, and marketing team teams to build go-to-market plans. The Product Management organization at NVIDIA is a small, strong, and impactful group. We focus on enabling deep learning across all GPU use cases and providing great products for our users. We are seeking a rare blend of product skills, technical depth, and passion to make NVIDIA great. Does that sound familiar? If so, we would love to hear from you!
What you'll be doing:
- Create and optimize pre-training/inference and post-training frameworks for RecSys and Generative Recommender researchers and production model builders
- Develop product strategy, roadmaps, and go-to-market plans
- Collaborate with internal and external customers to build product-based roadmaps for the E2E ML lifecycle
- Work with leadership to align with and drive company strategy
What we need to see:
- Experience with design and scaling of training/inference post training and optimization software (Torchtitan, FSDP)
- Demonstrable knowledge of GenAI or machine learning concepts, particularly around model training, performance optimization, inference, and software development and delivery
- Experience with large scale distributed systems
- BS or MS degree in Computer Science, Computer Engineering, or similar experience (or equivalent experience)
- 10+ years of technical product management, or similar, experience at a technology company
- Strong communication and interpersonal skills
Ways to Stand Out from the crowd:
- Experience leading GR systems - GEM, TIGER
- Working on Open Source & Github-first developer products with deep customer interactions
- Knowledge of GPU architecture, HW/SW co-design, and performance profiling
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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 Software Product Manager Jobs at NVIDIA Jobs
Align your portfolio to NVIDIA's product domains
NVIDIA hires Software Product Managers for specific platforms like CUDA, DGX, and AI Enterprise. Tailor your resume and portfolio to show product lifecycle ownership in GPU computing, developer tools, or AI infrastructure rather than general software products.
Prepare your specialty occupation documentation early
For H-1B eligibility, USCIS requires that the role qualifies as a specialty occupation. Gather your degree transcripts, any equivalency evaluations, and evidence that your field of study directly supports product management in semiconductor or AI software domains.
Ask about LCA timing during the offer stage
NVIDIA must file a certified Labor Condition Application with DOL before submitting your H-1B or E-3 petition. During offer negotiations, ask the recruiting team where they are in that process so you can plan your start date around realistic government processing windows.
Target NVIDIA's enterprise software product groups directly
NVIDIA's most active Software Product Manager hiring sits within its data center, networking, and AI software divisions. Applying to postings under those business units, rather than hardware-adjacent roles, increases the likelihood of landing in a group with established sponsorship workflows.
Use Migrate Mate to surface active NVIDIA openings
NVIDIA posts Software Product Manager roles across multiple business units, and availability shifts quickly. Use Migrate Mate to filter specifically for NVIDIA positions that include visa sponsorship, so you're applying to verified openings rather than guessing from the main careers page.
Software Product Manager at NVIDIA jobs are hiring across the US. Find yours.
Find Software Product Manager at NVIDIA JobsFrequently Asked Questions
Does NVIDIA sponsor H-1B visas for Software Product Managers?
Yes, NVIDIA sponsors H-1B visas for Software Product Manager roles. The role typically qualifies as a specialty occupation under USCIS standards given the technical depth required, usually a degree in computer science, electrical engineering, or a closely related field. Your employer will file the H-1B petition on your behalf after securing a certified Labor Condition Application from DOL.
Which visa types does NVIDIA commonly sponsor for Software Product Manager roles?
NVIDIA sponsors H-1B visas for most international hires and E-3 visas for Australian citizens, which have no annual lottery. For longer-term pathways, NVIDIA also supports EB-2 and EB-3 Green Card sponsorship, which typically becomes available after you've established yourself in the role. The right pathway depends on your nationality, degree, and career stage.
What qualifications does NVIDIA expect for Software Product Manager roles?
NVIDIA's Software Product Manager postings typically require a bachelor's degree in computer science, software engineering, or a technical discipline, along with hands-on experience shipping software products in AI, cloud, or developer platform environments. Many roles also expect familiarity with GPU computing, CUDA programming, or enterprise software deployment at scale. An MBA is sometimes listed as preferred but rarely required.
How do I apply for Software Product Manager jobs at NVIDIA?
Apply through NVIDIA's careers portal or through Migrate Mate, which filters for NVIDIA roles that include visa sponsorship. Before applying, review the specific business unit the role sits in, as NVIDIA's data center, AI software, and developer relations teams each have distinct product scopes. Tailor your application to the platform or product line named in the posting rather than sending a generic resume.
How do I plan my timeline for H-1B sponsorship at NVIDIA?
H-1B cap-subject filings open in March each year for an October 1 start date, so timing your offer relative to that window matters. If you're selected in the lottery, USCIS processing runs several months. NVIDIA has experience managing this cycle, but you should confirm your preferred start date with the recruiting team early so both sides can plan around DOL and USCIS timelines realistically.
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