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Santa Clara, California, United States • On-site
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Develop and optimize sensor calibration algorithms for autonomous vehicles using both classical and deep learning methods. Collaborate with OEM partners to integrate calibration features and maintain fleet monitoring tools for performance validation.
Requires a degree in Computer Science, Computer Engineering, or a related field with relevant industry experience. Candidates must possess strong C++ and Python programming skills along with knowledge of robotics, 3D computer vision, and automotive systems.
We are looking for a Software Engineer for Autonomous Vehicles supporting Calibration. We are seeking software engineers with interests in computer vision, calibration, egomotion, sensor fusion, handling large and complex software systems on automotive and embedded platforms to work as part of NVIDIA’s autonomous vehicles team. You will be supporting the calibration team with development and validation of the calibration / egomotion algorithms on vehicles, maintaining and productizing existing calibration approaches, supporting infrastructure in first level triaging and monitoring calibration performance across the fleet. You will be working with NVIDIA's OEM partners to help bring up existing and new calibration-related features on prototype and pilot production vehicles.
What you will be doing:
Develop new approaches and implement improvements to existing algorithms for sensor calibration for ADAS using both classical and deep learning methods.
Work with large amounts of real and synthetic data to evaluate and improve the algorithmic and computational performance of sensor calibration.
Develop and optimize software architecture and frameworks for real-world performance towards internal and external customer requirements.
Work with a variety of sensor modalities: camera, LIDAR, radar, IMU, GPS, odometry, etc.
Develop unit tests, documentation for features, evaluate quality and propose improvements and corrective actions.
Develop highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).
Develop production code to strict quality and safety standards such as MISRA and AUTOSAR.
Develop and maintain fleet monitoring tools supporting calibration of a large vehicle fleet.
Perform in-vehicle tests and troubleshooting, mining/analyzing data and completing drive missions.
Adopt and improve calibration algorithms on existing and new vehicle variants.
What we need to see:
PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Excellent C++ and Python programming skills.
General knowledge of fundamental algorithms in Robotics, Controls / Estimation and 3D Computer Vision.
Strong knowledge of programming and debugging techniques, especially for automotive / robotics systems.
Great communication and analytical skills including contributing critical and constructive design and code review.
Comfort with local/remote Linux machines, git, build systems.
Self-motivation and a great teammate.
Ways to stand out from the crowd:
Experience with data-parallel and/or CUDA programming.
Experience with performance analysis, optimizations and benchmarking.
Background with automotive systems, notably ADAS applications.
Deep experience with bazel, docker, VSCode plugins, code analysis/QoL tools.
Proven track record of working on calibration related projects, i.e. developing new calibration algorithms
#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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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