Skills this job asks for
Deep learningPythonCommunicationRustC++
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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What Nvidia Corporation paid sponsored hires in similar roles701 certified filings for “Engineer Senior Systems Software” (Software Developers) in CA: $173k–$214k, median $190k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 701 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. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
About the role
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. GPU deep learning ignited the modern AI era, with NVIDIA hardware and software acting as the foundation for the world's most ambitious AI, robotics, and autonomous systems workloads. Today, we are the AI computing company. NVIDIA Data Center Systems, including DGX, HGX, and MGX platforms, deliver the world's leading infrastructure for AI at scale. We are growing our teams with the most thoughtful, creative, and driven people on the planet.
NVIDIA is searching for a highly motivated and creative senior security firmware engineer to join the Data Center Systems Software team and secure the platform: the baseboard management controllers, microcontrollers, and silicon roots of trust the rest of the platform depends on. You will design and deliver the firmware that proves the integrity of NVIDIA's data center systems from the first instruction out of reset through attestation, update, and recovery in production, and set technical direction for work that spans silicon vendors, platform teams, and industry standards bodies.
What you'll be doing:
• Derive security requirements for NVIDIA’s data center platforms from business needs and threat modeling.
• Design and deliver root of trust firmware with features like secure and measured boot, attestation, provisioning of identities and cryptographic material, and secure debug.
• Own features from architecture to code: make the trade-offs explicit, gain agreement across silicon, platform, security architecture, manufacturing, and partner teams, and deliver the implementation.
• Implement industry security standards (eg.: SPDM, TCG DICE).
• Lead design and code reviews, improve threat modeling, testing, CI, and release practices, and make AI agents a normal part of how the team builds firmware.
What we need to see:
• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
• 7+ years of software and firmware engineering experience, or equivalent depth, including products built on a hardware root of trust.
• Deep understanding of roof of trust security fundamentals: chains of trust, signing and key management, attestation, and anti-rollback.
• Strong low-level programming skills and a deep understanding of SoC access controls (privilege levels, TrustZone, memory and bus protection).
• Familiarity with server firmware and systems software, plus experience building automation using Python or a comparable language.
• A record of leading technical work across teams without formal authority, including guiding other engineers on a shared deliverable.
• Experience with modern AI and agents, including an AI-forward mindset and proactive adoption of new tools and techniques.
• Excellent written and verbal communication skills, with a strong preference for written communication that creates clarity and institutional memory for a distributed team.
• Comfortable with ambiguity and complexity; you make sound decisions quickly with incomplete information and course-correct without friction.
Ways to stand out from the crowd:
• Contributions to open-source root of trust projects or to industry security standards.
• Experience building systems with symmetric, asymmetric, and post-quantum cryptography.
• Rust firmware experience, including bringing Rust into an existing C or C++ codebase.
• Secure Manufacturing at scale. Security certifications such as FIPS 140-3.
• Hardware cryptographic accelerators, secure key storage, trusted execution frameworks such as OP-TEE or Keystone, and OpenBMC.
NVIDIA is widely considered to be one of the technology world's most desirable emp
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