Remote Nvidia Data Scientist Jobs (NOW HIRING)

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.

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.

Your team is distributed across multiple time zones, with highly experienced individual contributors who operate with a significant degree of autonomy. Your role is not to micromanage - it is to set clear direction, unblock hard problems, cultivate a culture of excellence, and ensure that your engineers have what they need to do their best work. You will be expected to lead by example: staying technically sharp, embracing AI-assisted engineering workflows, and modeling the kind of clear thinking and high standards that NVIDIA is known for.

What You'll Be Doing:

• 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.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking outstanding individuals like you to help us drive the next wave of artificial intelligence.

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.Applications for this job will be accepted at least until May 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.