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, AI —and amazing people. NVIDIA is widely considered to be one of the most desirable employers, with some of the most forward-thinking people in the world working with us. There has never been a more exciting time to join us!
We are looking for highly motivated individuals to join our fast-paced customer delivery organization in the role of Vehicle Test Engineer - ADAS. This outstanding opportunity allows you to support the organization’s efforts to adapt NVIDIA’s autonomous driving software stack to various customer vehicle variants and drive the function behavior to maturity. It involves tuning, debugging and adapting self-driving software in target vehicles and on customer sites/testing grounds.
What you’ll be doing:
Integrate ADAS functions and tune the software parameters to achieve the best customer
experience. Implement algorithmic improvements and solutions.
Drive the roll-out onto the fleet across dozens of carlines.
Install, troubleshoot, and operate software.
Understand the quality standards and encouraged functionality of brand-new features. Align
and report results to customers and the development organization.
Analyze and diagnose the underlying events contributing to these metrics, identify issues,
and help improve the product experience.
What we need to see:
Bachelor's or Master’s degree or equivalent experience in an engineering field, and at least 3 years of work experience in a related industry.
Proficiency in embedded systems and C/C++, as well as a scripting language (Python, Bash, etc.) to operate a complex software stack.
Ability to work efficiently with Linux and QNX environments on the command line.
Well-rounded knowledge of how an autonomous vehicle stack (or similar large system) works, and practical experience dealing with the challenges in integrating many components into one solution.
Excellent communication and organization skills, with a logical approach to problem solving, good time management, task prioritization skills, and soft skills for customer interaction.
Passion for working on cars, autonomous driving, or software engineering.
Onsite attendance in one of the development and testing locations in the greater Sindelfingen/Stuttgart area is required several times per week. Flexibility of work hours and willingness to travel around Europe to support testing in many locations.
Ways to stand out from the crowd:
Experience as an ADAS software engineer at a Tier 1 or OEM.
Detailed understanding of the algorithms in an autonomous parking or driving stack.
Understanding of vehicle architecture and communication protocols (CAN, LIN, Ethernet).
EU driver license and advanced driving skills for test driving prototypes that require special training and licensing (T2).
If you're passionate about autonomous vehicles, we would love to hear from you!
NVIDIA is committed to encouraging a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in all employees. We do not discriminate in hiring or promotion based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other legally protected characteristic.
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.
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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.”
