NVIDIA Corporation

Director, Autonomous Vehicles Platform

NVIDIA Corporation$320K — $488K *
Manufacturing & Automotive
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • MS or PhD in Computer Engineering, Computer Science or related fields (or equivalent experience)
  • 15+ years of industry experience, including 8+ years in a management role
  • Strong programming skills in C and C++
  • Experience with multithreaded and distributed applications
  • Deep understanding of Linux and real-time operating systems
  • Familiarity with robotics frameworks like ROS and multimedia frameworks like GStreamer
  • Passion for low-latency, high-performance software development.

Responsibilities

  • Collaborate with OEM partners for platform integration and technology adaptation
  • Lead the development of Vehicle and Sensor Adaptation Layers
  • Design software abstractions for vehicle and sensor systems
  • Build mechanisms to enhance software integration for diverse vehicle and sensor setups
  • Conduct tests in vehicles, analyzing data for autonomous driving enhancements
  • Develop unit tests, documentation, and ensure software quality
  • Write production-quality C++ code utilizing parallel computing techniques.

Benefits

  • Equity options available
  • Comprehensive health benefits
  • Flexible work schedule
  • Opportunities for professional development
  • Supportive team environment
  • Access to cutting-edge technology and resources.
Full Job Description
In this role, you will work closely with key OEM partners to lead end-to-end platform integration and adapt our technology to OEM solutions.

You will also lead the architecture and development of vehicle and sensor abstraction layers that bridge our autonomous driving software with the physical world - from low-level sensor inputs and actuator commands to scalable integration with real-world hardware.

As a key contributor to enabling real-time autonomy at scale, you will help shape the future of robotics and self-driving technology.

What you will be doing:
  • Collaborate with key OEM partners to lead full platform integration and adapt our technology to OEM solutions.
  • Lead the Vehicle Adaptation Layer (VAL) and Sensor Adaptation Layer (SAL) teams, designing and developing software abstractions and plug-in frameworks that interface with vehicle and sensor systems while delivering exceptional customer outcomes.
  • Build efficient, user-friendly mechanisms to improve software integration across a wide range of vehicles and sensor configurations.
  • Enhance existing frameworks and software components, validating improvements through extensive real-world and synthetic testing to enhance computational performance and system utilization.
  • Conduct in-vehicle tests, collect and analyze sensor and vehicle data, and support the completion of autonomous drive missions.
  • Develop unit tests and documentation for key features, evaluate software quality, and propose corrective actions in alignment with industry best practices.
  • Write highly efficient, production-quality C++ code, demonstrating parallel computing capabilities through GPGPU (CUDA) to accelerate processing workloads.
  • Follow industry safety and quality standards, including MISRA and other automotive-grade software development practices.


What we need to see:
  • MS or PhD in Computer Engineering, Computer Science or related Engineering fields (or equivalent experience).
  • 15+ overall years of relevant industry experience and 8+ years of managing a team.
  • Excellent C and C++ programming skills.
  • Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.
  • Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
  • Strong knowledge on Linux, Android, and/or other real-time operating systems.
  • Experience with frameworks for robotics such as ROS and/or for multimedia such as GStreamer.
  • Passion for writing low-latency, high-performance software.
  • Excellent communication and analytical skills.
  • Self-motivated and a strong team-oriented mindset


Ways to stand out from the crowd:
  • Understanding of embedded and heterogeneous architectures, including GPUs.
  • Knowledge of automotive systems, including ADAS applications, AUTOSAR and drive-by-wire systems.
  • Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation
  • Experience developing software using modern OpenGL (Core Profile) on Linux.
  • Experience with version control systems GIT and build system like CMake/Bazel.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 5, 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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