NVIDIA Corporation

Senior Software Engineer, Deep Learning Inference - Automotive Safety

NVIDIA Corporation$152K — $287K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's, Master's, PhD, or equivalent experience in Computer Engineering, Computer Science, Electrical Engineering, or AI
  • 5+ years software development experience
  • Strong skills in C++, particularly with C++14 or newer
  • Familiarity with deep learning concepts and frameworks
  • Experience in safety-critical software development and validation
  • Proven initiative and project completion capabilities
  • Excellent interpersonal skills with a collaborative problem-solving approach

Responsibilities

  • Lead design and development of deep learning inference software for automotive applications
  • Integrate new hardware functionalities into TensorRT's compiler and runtime
  • Collaborate with cross-functional teams to enhance TensorRT performance
  • Design and implement high-quality C++ code per Modern C++ standards
  • Develop comprehensive test plans with a focus on safety validation
  • Document safety-critical properties for certification purposes
  • Optimize performance for specialized automotive platforms

Benefits

  • Equity participation
  • Diverse work environment
  • Equal opportunity employer
  • Hybrid work options
  • Collaborative and innovative culture
Full Job Description
Are you passionate about driving innovation in deep learning and eager to work on cutting-edge AI technology for safety-critical applications? Join NVIDIA's TensorRT team as a Senior Software Engineer, and be at the forefront of technology, enabling high-performance AI inference solutions for automotive safety and other specialized platforms. Your expertise will help shape the performance, functionality, and safety of our products, ensuring NVIDIA remains synonymous with innovation. If you're ready to tackle challenging projects, push the boundaries of AI performance in demanding environments, and make a significant impact in a company that values creativity, excellence, and teamwork, we want to hear from you!

What you'll be doing:
  • Lead the design and development of high-performance deep learning inference software for safety-critical automotive applications using modern C++
  • Orchestrate the integration of new hardware functionalities into TensorRT's compiler and runtime for specialized and constrained platforms
  • Work closely with teams and stakeholders across the hardware and software stack to understand and leverage new technologies to improve TensorRT's functionality and performance
  • Guide the design and implementation of robust, high-quality C++ code in alignment with Modern C++ standards and safety-critical software requirements
  • Drive systematic development of test plans from unit to integration level, with emphasis on rigorous safety validation and verification
  • Lead documentation efforts for safety-critical properties of functions, classes, and systems to support certification and robustness requirements
  • Contribute to performance optimization and benchmarking efforts for specialized automotive platforms


What we need to see:
  • Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Engineering, Computer Science, Electrical Engineering, AI)
  • At least 5+ years of relevant software development experience
  • Strong C++ skills, including knowledge of and application of best practices with C++14 or newer standards
  • Familiarity with deep learning concepts and frameworks
  • Experience with safety-critical software development, including rigorous testing, validation, and documentation practices
  • A track record of taking initiative and driving projects to completion
  • Excellent interpersonal skills and a collaborative, pragmatic approach to solving problems


Ways to stand out from the crowd:
  • Experience with automotive safety standards (e.g., ISO 26262, ASIL) or other functional safety frameworks
  • Proficiency with Python and/or CUDA, ideally with experience in a professional environment
  • Background with systems programming, embedded systems, and/or compiler development
  • Experience in software performance benchmarking, profiling, and optimizations
  • Experience with state-of-the-art deep learning models (such as Large Language Models) and frameworks for inference


#LI-Hybrid

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 March 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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