Engineering Manager, DRIVE OS Communication Infrastructure
Overview
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NVIDIA is a leading artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming and visualization. We give automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Our unified computing architecture enables training deep neural networks in the data center, and then seamlessly runs them on NVIDIA DRIVE Platforms inside the vehicle.
The NvSci team within NVIDIA DRIVE Software plays a critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous vehicles. NvStreams is a high-performance inter-process and inter-chip communication library within NVIDIA DRIVE OS, providing the sophisticated, high-integrity data and sensor processing infrastructure that forms a core element of the NVIDIA DRIVE software platform. It enables developers to build software frameworks and distributed applications that fully leverage NVIDIA hardware acceleration, seamlessly port across NVIDIA-powered platforms — from data center to vehicle — and scale effortlessly from simple deployments to complex, multi-system architectures, all while maintaining strong isolation guarantees and real-time monitoring across the entire processing pipeline. We are seeking a seasoned Engineering Manager to lead our rapidly growing NvStreams team. If you are passionate about cutting-edge technology, committed to shaping the future of transportation, and driven by a strong focus on software quality, we invite you to join us and make a lasting impact.
What you’ll be doing:
• Lead and grow a team of highly skilled engineers.
• Drive development of NvSci technology for next generation automotive and other Embedded applications.
• Apply and invent processes to ensure high software quality and reliable schedules
• Directly collaborate with other groups to align technology development with NVIDIA goals
What we need to see:
• BS or MS degree in EE/CS/CE or equivalent experience
• 8+ years of overall relevant experience
• 4+ years of management experience
• Prior software development experience
• Effective written and verbal communication regardless of audience or problem complexity
• Organizational skills to lead projects and drive software development with a matrix team of globally distributed engineers
• Experience with mentorship and developing engineering staff
• Embedded Software development background
Ways to stand out from the crowd:
• Previous Agile experience, especially with distributed teams and matrix projects
• Prior leadership of rapidly growing teams
• Experience with industrial quality standards: ASPICE, ISO 26262, ISO 21434
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.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 1, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
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Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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