We are seeking an energetic, hardworking manager to lead a team of developers through the productization and delivery of crucial ADAS and autonomy functions. In this role, you will participate in the full development life-cycle of the product. You will act as both a technical leader, as well as, a career mentor. Similarly, you will bridge the gap between engineering, product, and project management teams.
What you'll be doing:
We believe that the maturation and productization of any ADAS or autonomy function entails a diversity of activities, including:
Setting the algorithmic direction (trajectory planning, decision making) for the function
Providing the generalized software architecture
Designing system interfaces that are general and scale-able across multiple programs with different customers
Building an ambitious testing infrastructure to mature the feature through automated regressions, unit testing, as well as in-vehicle evaluations
Collaborating with system engineering to write succinct and achievable engineering requirements at the vehicle, subsystem, and element level
Providing career development to each of your team members through constructive reviews and performance feedback
What we need to see:
BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent experience
8+ years of software product experience
3+ years of team lead or management experience
Experience writing software in C++ or C
Conversant with an Agile/Scrum software development environment using Gerrit (or similar), Jira, and Confluence
Well practiced developing software with GIT in a Linux environment
Ways to stand out from the crowd:
We definitely want to hear from you if you are an upbeat contributor with a background that includes one or more of the following:
Experience shipping ADAS or Autonomy functions in a software driven culture
Experience shipping products, especially building from a clean sheet design
Background in building a robust software testing infrastructure
Experience developing algorithms for physical systems and maturing such algorithms to real products
A background in automotive systems, including system architecture and CAN communication.
Academic and commercial groups around the world are powering a revolution in artificial intelligence using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles. Intelligent AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an outstanding time. The era of AI has begun and NVIDIA is leading the drive with groundbreaking hardware and software. Come join us at NVIDIA!
Skills Required
- BS or higher in an engineering or technical field or equivalent experience
- 8+ years of software product experience
- 3+ years of team lead or management experience
- Experience writing software in C++ or C
- Conversant with an Agile/Scrum software development environment
- Well practiced developing software with GIT in a Linux 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.
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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.
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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.
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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.
NVIDIA Insights
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.”
