Senior Software Engineer - AV Components

Posted Yesterday
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Munich, Bayern, DEU
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and integrate production autonomous-vehicle software components across perception, mapping, planning, and control. Optimize performance across vehicle platforms, regions, operating domains, and sensor configurations. Diagnose complex issues using simulation, replay tools, logs, and on-vehicle diagnostics, then coordinate resolution with engineering teams and OEM partners. Build AI-assisted tools for replay, KPI evaluation, issue classification, root-cause analysis, and regression detection. Travel internationally for vehicle testing and customer collaboration.
Summary Generated by Built In

At NVIDIA, we are building the next generation AI-native autonomous driving architecture — combining classical safety stacks, foundation models, and scalable AI systems into a unified production platform. Autonomous driving is entering a new era. The next generation of AV systems will not be purely classical stacks, nor purely end-to-end neural networks. The future lies in the deep integration of classical architectures and large-scale AI-driven systems. If you have the drive to build the future of autonomous systems over the next decade, this is the place!

We are looking for a Senior Software Engineer who will work on state-of-the-art autonomous vehicle technologies in AI / deep learning, computer vision, mapping, prediction, and vehicle control. You will be responsible for developing, maintaining, and integrating components of AV stack. In this role, you will be working with cross-functional teams within NVIDIA as well as OEM partners locally.

What You’ll Be Doing:

  • Design, develop, optimize components of NVIDIA's AV stack and integrate on OEM platforms, taking features from prototype to production performance.

  • Evaluate and tune feature performance across OEM carlines, platforms, regions, ODDs, and sensor configurations, ensuring that KPIs reflect real-world performance.

  • Triage complex feature issues, identify root causes using simulation, replay tools, vehicle logs, and on-vehicle diagnostics and drive end-to-end resolution in collaboration with customer engineering teams.

  • Develop AI-assisted tools for large-scale replay, KPI evaluation, issue classification, root-cause analysis, and regression detection

 

What We Need To See:

  • BS/MS/PhD or equivalent experience in Computer Science, Electrical Engineering, Robotics, Mathematics, Physics, or a related field, with 5+ years of relevant industry experience.

  • Strong C/C++ and QNX/Linux skills, including modern C++, data structures, debugging, software design, and performance optimization in real-time embedded/control systems

  • Deep expertise in one or more components of AV stack — Perception, Mapping, Planning & Control

  • Ability to communicate clearly and collaborate effectively across global teams and more importantly with OEM partners 

  • A proactive, self-driven, owner mindset.

  • Travel within EU and internationally for vehicle testing and OEM collaboration as needed

Ways to Stand Out from the Crowd:

  • Experience delivering one or more components of production grade AV stack: Perception, Fusion, Mapping, Planning & Control

  • Hands-on deep learning experience — model training, evaluation, and optimisation under production-grade deployment constraints.

  • Advanced control theory — classical, nonlinear, MPC, or optimal control — applied to real vehicle behavior.

  • Certified test driver experience in Europe

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to outstanding growth, our elite engineering teams are fast-growing fast. If you're a creative test engineer with a sincere real passion for technology, we want to hear from you.

Skills Required

  • Bachelor’s, master’s, or doctoral degree in Computer Science, Electrical Engineering, Robotics, Mathematics, Physics, or a related field, or equivalent experience
  • 5+ years of relevant industry experience
  • Strong C and C++ programming skills, including modern C++, data structures, debugging, software design, and performance optimization
  • Strong QNX and Linux skills
  • Experience with real-time embedded or control systems
  • Deep expertise in at least one autonomous-driving component: perception, mapping, planning, or control
  • Clear communication and effective collaboration across global teams and with OEM partners
  • Proactive, self-driven ownership mindset
  • Production-grade autonomous-driving stack experience in perception, sensor fusion, mapping, planning, or control
  • Hands-on deep-learning experience with model training, evaluation, and production optimization
  • Advanced control theory experience, including classical, nonlinear, model predictive, or optimal control
  • Certified test-driver experience in Europe

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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