Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 3
Automated Testing @ 3
CI/CD @ 3
Leadership @ 3
Communication @ 3
Engineering Management @ 3
LLM @ 3
Agile @ 2
GPU @ 3
Deep Learning @ 3
AI @ 3
Robotics @ 3
Prompt Engineering @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 looking for a Software Engineering Manager to lead a team building security-critical root-of-trust (RoT) firmware for NVIDIA Data Center Systems. This firmware sits at the deepest layer of platform trust — establishing hardware-rooted security for boot integrity, cryptographic attestation, and secure lifecycle management across NVIDIA’s next-generation data center compute platforms. The team is distributed across multiple time zones and operates with a high degree of autonomy.
Responsibilities
- Own the delivery, quality, and security posture of root-of-trust firmware across NVIDIA’s data center compute platforms, from architecture through production release.
- Lead, mentor, and grow a distributed team of senior firmware and security engineers, fostering autonomy, accountability, and continuous learning.
- Drive adoption of modern software engineering practices: rigorous code review, robust CI/CD pipelines, automated testing and fuzzing for security-critical code paths, and systematic threat modeling.
- Champion an AI-forward engineering culture — actively using and encouraging AI coding assistants, automated analysis tools, and LLM-assisted workflows to improve team velocity and code quality.
- Establish and maintain effective asynchronous-first communication practices to enable a geographically distributed team to collaborate with clarity across time zones.
- Partner with security architects, hardware engineers, system software teams, and data center customers to define requirements, review designs, and ensure the firmware stack meets NVIDIA’s reliability and security standards.
- Own project planning and execution: manage milestones, track risks, communicate status to senior leadership, and make rapid decisions when priorities conflict.
- Drive continuous improvement in engineering processes, tooling, and team structure — identify bottlenecks and act decisively to improve throughput and morale.
Requirements
- BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
- 10+ years of relevant software or firmware engineering experience, including meaningful work in security-critical, embedded, or low-level systems software.
- 5+ years of engineering management experience, with a track record of building and scaling high-performing teams.
- Demonstrated experience managing distributed, remote-first engineering teams across multiple time zones, with a philosophy for enabling autonomous contributors.
- Deep familiarity with modern software engineering methodologies: agile/iterative development, continuous integration, test-driven development, and systematic code review practices.
- Active use of AI coding assistants and LLM-based tooling in personal workflows and experience driving adoption within engineering teams.
- Solid technical foundation in C/C++ and embedded systems, with the ability to engage in deep technical discussions about firmware architecture, memory safety, and hardware-software interfaces.
- Excellent written and verbal communication skills, with a preference for written communication that creates clarity and institutional memory for a remote team.
- Comfortable making sound decisions quickly with incomplete information and course-correcting without friction.
Ways to Stand Out
- Hands-on experience with root-of-trust architectures, secure boot, hardware security modules (HSMs), cryptographic attestation, or similar security-critical firmware domains.
- Experience with NIST SP 800-193 Platform Firmware Resiliency guidelines, DICE (Device Identifier Composition Engine), or SPDM (Security Protocol and Data Model).
- Familiarity with NVIDIA Data Center platforms (DGX, HGX, MGX) or equivalent hyperscale infrastructure, including in-band and out-of-band management stacks.
- Experience building or contributing to AI-assisted development tooling: prompt engineering for code generation, retrieval-augmented engineering workflows, or integrating LLMs into CI pipelines.
- Prior experience with formal threat modeling methodologies (STRIDE or similar) applied to firmware or embedded security contexts.
Compensation and Other Details
- The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.
- You will also be eligible for equity and benefits.
- Applications for this job will be accepted at least until April 11, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity and inclusion.