We are looking for a (Senior) 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
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
- PhD (1+ years) or MS (3+ years) or BS (5+ years) in Computer Science, Computer Engineering, or related field
- Excellent C++ programming skills
- Excellent Python programming skills
- Knowledge of fundamental algorithms in Robotics, Controls/Estimation, and 3D Computer Vision
- Strong programming and debugging techniques for automotive/robotics systems
- Comfort with Linux, git, and build systems
- Ability to develop unit tests, documentation, and participate in design/code reviews
- Experience with CUDA and data-parallel / GPGPU programming
- Experience with MISRA and AUTOSAR or developing to automotive safety/quality standards
- Experience with performance analysis, optimization, and benchmarking
- Background with automotive systems, notably ADAS applications
- Experience with Bazel, Docker, VSCode plugins, and code analysis/quality-of-life tools
- Proven track record working on calibration-related projects
- Good communication, analytical skills, self-motivation, and teamwork
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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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.”
