NVIDIA Corporation

Senior Software Control Integration Engineer - Autonomous Vehicles

NVIDIA Corporation$184K — $356K *
Manufacturing & Automotive
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or higher degree in Mechanical Engineering, Electrical Engineering, Computer Science, or equivalent experience
  • 8+ years of work experience in relevant fields
  • Hands-on application background in various control theories including classical, modern, nonlinear, MPC, and robust control
  • Understanding of state estimation techniques like Luenberger observer and Kalman filter
  • Ability to develop vehicle models and conduct parameter identification and benchmarking
  • Experience in algorithm design and simulation in Matlab/Simulink/Python to C/C++ implementation
  • Experience in real-time embedded control systems such as vehicle ECU systems

Responsibilities

  • Contribute to vehicle dynamics and control development, aiding related teams in ACC/LK and trajectory planning
  • Design technologies for Autonomous Vehicle software and write new driving software modules
  • Provide feedback for system design aspects like architecture and redundancy
  • Build performance benchmarks for vehicle control both offline and online
  • Create tools for tuning vehicle dynamics control and managing calibration updates
  • Integrate control functionality across platforms and troubleshoot related issues
  • Develop vehicle test suites and maintain automated tests for software quality

Benefits

  • Eligible for equity
  • Health, dental, and vision insurance
  • 401(k) retirement plan
  • Generous paid time off
  • Opportunities for professional growth and development
Full Job Description
We are now looking for a Senior Software Autonomous Vehicle Control Integration Engineer. As a Senior Software Control Integration Engineer, you will work on state-of-the-art autonomous vehicle technologies with leaders in AI / deep learning, computer vision, and vehicle control.

You will be responsible for developing, maintaining and integrating autonomous auto control algorithms and software. You will develop solutions for vehicle trajectory tracking, model predictive control, and vehicle state estimation. You should have strong analytical skills, good communication, and interpersonal capabilities to work in a team and make a joint effort towards a common goal. Prior knowledge about vehicle control, vehicle ECU, Drive-by-Wire systems, and in-vehicle network and autonomous vehicles are highly valued.

What you'll be doing:
  • Contribute to the development related to vehicle dynamics and control and support other teams in such areas, e.g. ACC/LK, urban driving, trajectory planning, vehicle operation limit estimation, emergency maneuvers (collision avoidance, mitigation), etc.
  • Design technologies needed to build Autonomous Vehicle software stack, write new software modules from scratch that drive our vehicles.
  • Provide feedback for overall system design to product level: system architecture, failure mode, system redundancy, etc.
  • Build new performance offline and online benchmarks for vehicle control.
  • Define and build tools to tune our vehicle dynamics control and manage calibration updates for various vehicle types.
  • Drive integration efforts of control functionality across different platforms, support troubleshooting of control and actuation issues in vehicles.
  • Develop and maintain vehicle test suites to detect control integration problems, develop and maintain automated tests to ensure SW quality and prevent regressions.
  • Most importantly, work on groundbreaking and innovative technology, tackle difficult problems, and help build a world-class system!


What we need to see:
  • BS, MS, or higher degree in Mechanical Engineering, Electrical Engineering, Computer Science or equivalent experience
  • 8+ years of work experience in relevant fields
  • Knowledge and hands-on application background in control theories, including at least three of the following fields: classical control, modern control, nonlinear control, MPC, optimal control, robust control, sliding mode control.
  • Understanding of state estimation techniques such as Luenberger observer, kalman filter, etc.
  • Ability to develop vehicle models and perform parameter identification and benchmarking.
  • Knowledge of high-level algorithm design and prototyping in simulation environments (Matlab/Simulink/Python) to product oriented implementation with C/C++.
  • Experience in architectural design and software development with C/C++ for real-time embedded control systems, such as vehicle ECU systems.
  • Understanding of test and verification methodologies for automotive software, know-how in writing unit and system level tests.
  • Experience of integrating, tuning, and validating prototype and/or production control software with application, driver, and vehicle network layers.
  • Experience of development and/or usage of in-vehicle control software verification and calibration tools for autonomous vehicle applications.


Ways to stand out from the crowd:
  • Hands-on experience in autonomous vehicle or advanced driver assist system development such as lane keeping, adaptive cruise control, etc.
  • Background in automotive safety concept, failure mode, common analysis tools such as FMEA
  • Experience in developing and launching vehicle safety critical control system products such as powertrain, steering system, brake system, advanced driver assist system, etc.
  • Understanding of deep learning and neural network concepts
  • 12+ years engineering experience at automotive OEM, tier-1 supplier or autonomous driving start-ups
  • PhD with relevant experience


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.

Applications for this job will be accepted at least until September 25, 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

Similar Jobs

More Jobs at NVIDIA Corporation

More Manufacturing & Automotive Jobs

Find similar Senior Software Control Integration Engineer - Autonomous Vehicles jobs: