Manager, Software Engineering - Security FirmwareNVIDIA • Santa Clara, California, United States
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Manager, Software Engineering - Security Firmware
NVIDIA
- Santa Clara, California, United States
- Santa Clara, California, United States
Über
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 a culture of 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 that enable a geographically distributed team to collaborate with clarity and minimal friction 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 highest reliability and security standards. Own project planning and execution: manage milestones, track risks, communicate status clearly to senior leadership, and make rapid decisions when priorities conflict. Drive continuous improvement in engineering processes, tooling, and team structure — identifying bottlenecks and acting decisively to improve throughput and morale.
What We Need to See:
BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. 10+ overall 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 clear philosophy for enabling autonomous, high‑agency contributors. Deep familiarity with modern software engineering methodologies: agile/iterative development, continuous integration, test‑driven development, and systematic code review practices. Genuine, demonstrable AI‑forward mindset: you actively use AI coding assistants and LLM‑based tooling in your own workflows and have driven adoption of these tools within engineering teams. Solid technical foundation in C/C++ and embedded systems, with the ability to engage credibly in deep technical discussions about firmware architecture, memory safety, and hardware‑software interfaces. Excellent written and verbal communication skills, with a strong preference for written communication that creates clarity and institutional memory for a remote 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:
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. Proven track record to build and sustain a strong team culture across remote, asynchronous settings — including hiring, onboarding, career development, and performance management for distributed engineers. Prior experience with formal threat modeling methodologies (STRIDE or similar) applied to firmware or embedded security contexts.
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 3, and 272,000 USD - 431,250 USD for Level 4. You will also be eligible for equity and benefits. 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. #J-18808-Ljbffr
Sprachkenntnisse
- English
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