We are looking for a Senior algorithm engineer/architect for Autonomous Vehicles to do online mapping. In this role, you will help craft and guide the future of our autonomous driving solution that helps the car perceive the world around it and build the 3D model of the driving environment. We seek extraordinary engineers who are passionate about building self-driving cars and who have a background in sensor fusion, multi-view geometry, and embedded real-time software. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!
What You'll Be Doing:
- Generate real-time 3D world model utilized by planning, incorporating a variety of inputs from sensors and external sources.
- Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world.
- Design and integrate algorithmic solutions into the core of NVIDIA AV.
- Write safe embedded software code to run in real-time systems.
- Develop highly efficient product code in C++ and make use of algorithmic parallelism offered by GPGPU programming (CUDA).
- Produce code and designs following automotive quality and safety standards.
What We Need To See:
- Bachelor’s / Master’s / PhD in Computer Science or a related field (or equivalent experience) with 6+ years of experience.
- Software industry experience.
- Strong C++ development skills.
- Passion for robotics and autonomous vehicles.
- Drive to learn new things and tackle meaningful problems.
- Outstanding communication and cross-team collaboration.
- Independent and analytical software engineering skills.
- Software development on embedded or automotive platforms.
Ways To Stand Out From The Crowd:
- Background in 3D geometry, computer vision, or state estimation algorithms like Kalman filters, particle filters.
- Understanding of ADASISv2 as well as crowdsourced maps and geographic information systems (GIS).
- Runtime optimization of code using profilers.
- Experience with CUDA parallel programming.
#AutonomousVehicles
We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
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.Skills Required
- Bachelor’s, master’s, or PhD in Computer Science or a related field, or equivalent experience
- 6+ years of experience
- Software industry experience
- Strong C++ development skills
- Passion for robotics and autonomous vehicles
- Strong communication and cross-team collaboration skills
- Independent and analytical software engineering skills
- Software development experience on embedded or automotive platforms
- Background in 3D geometry, computer vision, or state estimation algorithms such as Kalman or particle filters
- Understanding of ADASISv2, crowdsourced maps, and geographic information systems
- Runtime code optimization using profilers
- CUDA parallel programming experience
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.”
