NVIDIA Corporation

System Software Engineer, Calibration - Autonomous Vehicles

NVIDIA Corporation$152K — $287K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD with 1+ years, MS with 3+ years, or BS with 5+ years in Computer Science, Computer Engineering, or related field.
  • Proficient in C++ and Python programming languages.
  • Strong grasp of fundamental algorithms in Robotics, Controls/Estimation, and 3D Computer Vision.
  • In-depth knowledge of programming and debugging techniques for automotive/robotics systems.
  • Effective communicator with strong analytical skills.
  • Familiarity with Linux, git, and build systems.
  • Self-motivated team player.

Responsibilities

  • Develop new sensor calibration algorithms for ADAS using classical and deep learning methods.
  • Evaluate and enhance algorithm performance using real and synthetic data.
  • Design and optimize software architecture to meet customer needs.
  • Work with various sensor modalities including camera, LIDAR, radar, and GPS.
  • Create unit tests and documentation, and propose quality improvements.
  • Write efficient product code in C++ leveraging GPGPU programming (CUDA).
  • Maintain calibration monitoring tools for a large vehicle fleet.
  • Conduct in-vehicle testing and troubleshooting of calibration systems.
  • Adapt calibration algorithms for different vehicle variants.

Benefits

  • Equity participation based on performance and tenure.
  • Supportive work environment promoting diversity and inclusion.
  • Access to advanced technology and resources for professional growth.
Full Job Description
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


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.

Applications for this job will be accepted at least until July 22, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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