Manager, Software Performance Engineering - Autonomous Vehicles

Reposted 10 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
224K-431K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Manage Software Performance Engineering for Autonomous Vehicles, lead engineers, establish workflows, and collaborate with product teams to enhance performance in NDAS products.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a Manager of Software Performance within the Autonomous Vehicles organization! In this role, you will drive the strategic scaling of performance engineering efforts across the full portfolio of NVIDIA DRIVE Autonomous Solutions (NDAS) products, spanning multiple customer programs and hardware generations. Your mission will be to cultivate and grow a deeply collaborative group that operates optimally across Product, Functions, Safety, Operating Systems & Middleware, and next-generation hardware teams — ultimately enabling the highest-quality autonomous driving experience NDAS can deliver!

What you'll be doing:

  • Define and maintain the strategic execution roadmap, ensuring scalability across diverse product lines, release timelines, emerging customer engagements, and next-generation hardware platforms.

  • Lead and mentor a team of Performance Engineers in day-to-day execution, driving timely NDAS releases aligned with OEM partner roadmaps.

  • Improve performance engineering workflows and processes to foster a scalable, organization-wide performance culture.

  • Partner proactively with OEM customers, algorithm teams, OS, and hardware groups to establish a cohesive long-term architecture and technical vision for NDAS.

  • Provide regular, transparent communication of program status, risks, and key issues to leadership and multi-functional collaborators.

What we need to see:

  • 8+ overall years recent Software Engineering experience driving the planning and execution of software engineering projects, and releasing commercial products; including at least 4 years of Software team management experience.

  • BS or MS degree in Computer Science or related field (or relevant experience).

  • Experience leading successful releases with short release cadence in a dynamic environment.

  • Proven ability to understand and collaborate across complex technical SW stacks and their interdependencies in big organizations.

  • Proven record of leading and successfully delivering organizational wide programs and projects as well as process improvements.

Ways to stand out from the crowd:

  • Software management or systems engineering experience for large-scale mission/safety critical systems, specifically with autonomous vehicles, avionics or robotics.

  • Software performance optimization exposure, especially in Embedded/Real-time Systems, GPU/CUDA optimizations or C++ algorithmic optimizations.

  • Strong grasp of Computer Architecture & Operating System concepts.

  • Exposure to developing or delivering deep learning projects on Embedded Systems/NVIDIA DRIVE platforms.

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.

Applications for this job will be accepted at least until April 24, 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.

Skills Required

  • 8+ years of Software Engineering experience
  • 4+ years of Software team management experience
  • BS or MS degree in Computer Science or related field
  • Experience leading successful releases in a dynamic environment

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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