Jobs / United States / Nvidia Corporation
Senior Software Engineer, ML Loop
Nvidia Corporation · 🇺🇸 US, CA, Santa Clara
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Nvidia Corporation paid sponsored hires in similar roles701 certified filings for “Engineer Senior Systems Software” (Software Developers) in CA: $173k–$214k, median $190k. Most were filed at wage level IV (82%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. The pay stated here (168,000 USD) is below what this employer usually pays sponsored hires for this role. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Nvidia Corporation
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Nvidia Corporation →
About the role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Step into a role where you can make a significant impact on the future of autonomous vehicles. As a Senior Software Engineer, ML Loop - Automotive at NVIDIA, you will be at the forefront of our data flywheel operation. This is your opportunity to work with hardworking individuals and pioneer innovative technologies to contribute to world-class solutions. What You’ll Be Doing: • Design and lead cloud and in-car data mining strategy and operations, provide strong support to corner case identification, data delivery and case resolution for perception and E2E models. • Leverage AI and build software technology to accelerate in-car mining speed and quality. Work with the platform team to make sure in-car modules provide sufficient capability to support data collection needs. • Design and implement operational processes using data analysis, big data and software techniques to ensure data collected via collection and production vehicles are of high quality for model training. What We Need to See: • Deep understanding of AV data format and data content, including sensors and log information. Proficient in using visualization and mining tools related to these data. • Understand data closed-loop methodology for improving model performance and hands-on experience with large scale data operation to practise such methodology. • Proficiency with modern data technology stacks, have solid foundations in statistics and machine learning fields. • Excellent communication skills and a collaborative, team-focused approach. • Bachelor’s degree in Computer Science or related field, or equivalent experience, with 8+ years in relevant industry or research roles. Ways to Stand Out from the crowd: • Industry experience in autonomous driving data operations, including data collection, data mining and data delivery. • Industry experience practising data closed loop with production vehicles. • Operational expertise in balancing cost-effectiveness, engineering quality, and time-to-market demands. • Demonstrated success in implementing solutions in high-stakes, ambitious environments. Embrace this outstanding opportunity to be part of NVIDIA's ambitious journey and help craft the future of autonomous driving through outstanding data engineering. 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 - 270,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 6, 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