System Software Engineer, Calibration - Autonomous Vehicles

NVIDIA is hiring a System Software Engineer, Calibration - Autonomous Vehicles in Santa Clara, United States. It pays $152k-$242k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
The posting mentions C, Python and CUDA among its tools and skills.
Level classes it as a senior role.
NVIDIA has 2,600+ other open roles on Level.
Posted within the past week.

AI in this role

Develop sensor calibration algorithms and software frameworks using classical and deep learning methods for autonomous vehicles.

cpythoncuda

computer-visionsensor-calibrationautonomous-vehiclesdeep-learning

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 other objective job-related factors. The expected base salary ranges for this position are:
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.

Applications for this job will be accepted at least until November 3, 2026.

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.

How we rate this

System Software Engineer, Calibration - Autonomous Vehicles at NVIDIA rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

System Software Engineer, Calibration - Autonomous Vehicles is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $152k-$242k a year.
The role is based in US, CA, Santa Clara.
The job was posted on October 28, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionSensor CalibrationAutonomous VehiclesDeep learningCPythonCUDA

Also common in software engineer jobs at this level

AWS LLM Java AI agents TypeScript Kubernetes

Pay

This job starts at: $152k
Typical software engineer job: $168k

This posting starts 9% below the typical software engineer job. See software engineer jobs

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where sensor calibration was part of your work. What did you do?
Tell me about a project where autonomous vehicles was part of your work. What did you do?
Tell me about a project where deep learning was part of your work. What did you do?
Walk me through how you've used C in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Computer vision, Sensor Calibration, Autonomous Vehicles, Deep learning, and C. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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