NVIDIA Corporation

Senior Software Engineer, Evaluation Flywheel - Autonomous Vehicles

NVIDIA Corporation$224K — $356K *
Transportation
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Computer Science, Robotics, or a related field (or equivalent experience)
  • 12+ years building software, particularly in autonomous vehicles, robotics, or large-scale ML systems
  • Deep experience with evaluating ML or robotic systems, including metric design and dataset curation
  • Strong Python and data engineering skills for production-scale pipelines
  • A proven track record in independent execution and technical leadership.

Responsibilities

  • Own the eval flywheel's strategy and architecture to transform road and simulation data into curated datasets
  • Set high standards for evaluation quality through effective dataset management and performance metrics
  • Build tools to facilitate rapid iteration for metric developers, enhancing dataset processes and reporting
  • Collaborate with senior engineers and teams, representing evaluation quality in cross-team decisions
  • Work closely with AI model developers to streamline evaluation iterations for program efficiency.

Benefits

  • Eligible for equity
  • Comprehensive benefits package
  • Access to training and development resources
  • Opportunities for collaboration with industry leaders
  • Dynamic, innovative work environment.
Full Job Description
We are looking for a senior engineer to own the engine that makes it all trustworthy: the eval flywheel. This is a hands-on technical leadership role - the flywheel's architecture, quality, and adoption are owned end to end by this person, in code and in the room, not from a strategy document.

What you'll be doing:
  • Owning the eval flywheel's strategy and architecture: how road and simulation driving data becomes curated golden datasets, how metrics are measured against them (precision/recall), and how those results earn lasting trust with the teams that depend on them.
  • Setting the standard for evaluation quality: golden dataset curation, versioning, and health; metric performance measurement; and release processes that keep results dependable as the system evolves.
  • Building the tooling that helps our metric developers iterate quickly: self-serve dataset pipelines, metric performance measurement, and quality reporting used every day by the team and our partners.
  • Partnering with senior engineers and leaders across test engineering, behavior planning, and infrastructure - setting expectations, working through trade-offs, and being the voice of evaluation quality in cross-team decisions.
  • Working directly with AI model developers so evaluation iteration speed becomes an advantage for the whole program, including our push into learned, VLM-based evaluation.


What we need to see:
  • A track record of independent execution and technical leadership: finding the highest-leverage problem, driving it across team boundaries, and delivering without waiting to be asked.
  • Clear, proactive communication with engineers and senior leaders alike, at a fast pace.
  • BS or MS in Computer Science, Robotics, or a related field (or equivalent experience).
  • 12+ years building software, with significant time in autonomous vehicles, robotics, or large-scale ML systems.
  • Deep experience evaluating ML or robotic systems: metric design, ground-truth and golden dataset curation, precision/recall methodology, and the data pipelines behind them.
  • Strong Python and data engineering skills for production-scale pipelines.


Ways to stand out from the crowd:
  • Experience building an evaluation flywheel before - dataset curation, metric measurement, developer tooling - and the story of how it changed model development velocity.
  • Closed-loop simulation evaluation for autonomous driving, and the realism questions that come with it.
  • Applying LLMs or VLMs to evaluation, or productionization the infrastructure behind them.
  • A history of earning trust for metrics across skeptical partner teams.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 31, 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 Transportation Jobs

Find similar Senior Software Engineer, Evaluation Flywheel - Autonomous Vehicles jobs: