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)