Role at a glance
- Salary
- Not Disclosed
- Location
- 2 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- PhD with 2+ years, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer...
- Education
- PhD with 2+ years, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer...
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Role Summary
The Senior Localization Engineer develops map-enhanced localization solutions for autonomous driving, using navigation and crowdsourced map data. The role focuses on accurate, robust systems and real-world automotive software deployment.
What You'll Do
- Design and build robust, accurate solutions for map-enhanced autonomous driving with ASIL safety requirements in mind.
- Localize to map data to model the environment around the car, including areas beyond the horizon of perception.
- Test algorithms on large amounts of real and synthetic data across diverse environments and conditions.
- Write safe, efficient real-time C++ code using algorithmic parallelism through CUDA.
- Productize software for deployment in consumer cars according to automotive quality and safety standards, including MISRA and ISO 26262.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: PhD with 2+ years, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Experience in computer vision, 3D geometry, mapping, localization, or related technologies; outstanding communication and teamwork skills; modern C++ software craftsmanship; and a solid foundation in linear algebra and geometric computer vision.
Preferred
- Significant industry experience in the above areas.
- Experience developing real-time computer vision systems.
- Experience with CUDA parallel programming.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Intelligent machines powered by Artificial Intelligence 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. Do you agree with us that this truly is an extraordinary time and that the era of AI has begun? We are proud that NVIDIA is playing a meaningful role in this development, where our hardware and software platforms power a large eco-system of partners who are working to deliver products, all over the world. In the space of self-driving cars, NVIDIA provides the DRIVE AGX hardware platform which runs our DRIVE software.
We are looking for a Senior Localization Engineer for Autonomous Vehicles to join us. An always available map helps tremendously for reliable autonomous driving. In this role, you will help build robust solutions for using ubiquitous navigation maps as well as our crowd sourced maps in our driving stack.
What you'll be doing:
- Design and build robust and accurate solutions for map enhanced autonomous driving with ASIL safety requirements in mind.
- Localize to map data to provide the most precise and rich model of the environment around the car, including beyond the horizon of perception.
- Make sure our algorithms work well on large amounts of real and synthetic data, in a diverse range of environments and conditions.
- Write safe, highly efficient real-time code in C++, making use of algorithmic parallelism offered by GPGPU programming in CUDA.
- Productize all software for real-world deployment to consumer cars, following automotive quality and safety standards (MISRA, ISO26262).
What we need to see:
- PhD with 2+ years, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Experience in computer vision, 3D geometry, mapping, localization or related technologies.
- Outstanding communication and teamwork skills, as this project requires both cross-team collaboration and work in a tightly-knit team.
- Meticulous craftsmanship of software in modern C++.
- A solid foundation in linear algebra and geometric computer vision.
Ways to stand out from the crowd:
- Significant industry experience in above areas.
- Experience developing real-time Computer Vision systems.
- Experience with CUDA parallel programming
We believe that realizing self-driving cars will be a defining contribution of our generation (e.g. traffic accidents cause ~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 and hardworking people in the world working here. If you're creative and autonomous, we want to hear from you!
#AutonomousVehicles
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.