NVIDIA DriveOS is the trusted, TÜV SÜD-certified operating system powering sophisticated AI, computer vision, and safety workloads for autonomous driving and AI cockpits. Running on Linux and QNX, it’s the bedrock for world-changing autonomous vehicles.
We seek a driven Senior Engineer who excels at technical mentorship and delivery ownership to join our Tegra System Software team. You will play a key role in advancing the PKCS#11‑based cryptographic abstraction layer for NVIDIA DriveOS across QNX, Linux, and safety/RTOS environments. This is your chance to create a significant contribution to the cyber-security and functional safety of Tegra-powered autonomous and industrial platforms.
What you'll be doing
This role balances around 50/50 between providing technical guidance and Scrum/delivery ownership.
Collaborate alongside the Principal Engineer to review functional requirements, refine scope, and estimate effort for PKCS#11 features and cryptographic services
Participate in design and code reviews, contributing to technical decisions
Lead sprint planning and Scrum execution: organize backlogs, plan sprints, run standups and retrospectives, and track progress toward DriveOS milestones
Represent the team in forums related to coordination and delivery, clearly sharing status, risks, and trade-offs
Drive project deliverables for the PKCS#11 abstraction layer and test suites, manage escalations, resolve resource conflicts, and recommend practical solutions
Deliver documentation and process outputs for ISO 26262 and ISO 21434 quality gates, working with safety, security, and verification leads
Guide the verification strategy to ensure thorough coverage and reliability
Build a culture of technical excellence, ownership, and collaboration by championing sound engineering practices, thoughtful code reviews, and knowledge sharing
What we need to see
Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical/Computer Engineering, Mathematics, or a related field
Strong background in software engineering and project or program management, ideally in embedded or systems domains (automotive, aerospace, defence, telecommunications)
8+ years of experience shipping production software on Linux, QNX, or similar RTOS platforms
Track record driving planning and execution: managing backlogs, estimating effort, organizing sprints, and delivering on schedule in complex, multi-site environments
Solid grasp of software engineering fundamentals (version control, debugging, code review, systematic testing) to engage in design discussions while empowering senior engineers to own detailed implementation
Clear communication and strong analytical problem-solving skills suited to safety- and security-sensitive work
Collaborative leadership approach that encourages cross-functional cooperation and open feedback across teams and time zones
Curiosity about emerging applied AI to explore agentic workflows for efficiency gains
Familiarity with ASPICE, ISO 26262, or similar assessments for software workflows
Forward-thinking approach to risk and issue resolution
Ways to stand out from the crowd
Experience delivering software with distributed teams and coordinating with hardware, systems, safety, and security groups on shared deliverables
Experience with Agile development of complex system software through silicon phases (POR, pre-silicon, bring-up, post-silicon)
Hands-on work with cryptography libraries or standards, hardware security modules, and similar security middleware
Background in embedded safety-critical systems (automotive, aerospace, industrial, medical, or defence) and related functional safety or cybersecurity processes
Experience with test tooling, automation, and CI pipelines for large embedded or security-sensitive codebases
Familiarity with NVIDIA technology (Tegra, DriveOS)
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