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Flywheel Jobs in California (NOW HIRING)

General Motors

Senior Manager, Embodied AI

Sunnyvale, CA · On-site +1

$296K - $453K/yr

The Data Scaling group owns the Data Flywheel for AVFoundationmodel development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at ...

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Flywheel information

What is a flywheel?

A flywheel is a mechanical device specifically designed to efficiently store rotational energy. It works by resisting changes in rotational speed, helping to maintain a consistent output of energy even when the input energy fluctuates. Flywheels are commonly used in engines, industrial machines, and energy storage systems to smooth out energy delivery, reduce vibration, and improve overall efficiency. They are essential in applications where steady and reliable energy is required.

What are the key skills and qualifications needed to thrive as a Flywheel engineer?

To thrive as a Flywheel Engineer, you need a solid background in mechanical engineering, physics, and rotational dynamics, typically supported by a relevant engineering degree. Familiarity with CAD software, simulation tools like ANSYS, and industry standards for rotating machinery is essential. Strong problem-solving skills, attention to detail, and effective teamwork are important soft skills for excelling in this role. These competencies are crucial for designing, testing, and maintaining reliable flywheel systems used in energy storage and mechanical applications.

What are the main responsibilities of a Flywheel engineer in a manufacturing setting?

As a Flywheel Engineer in a manufacturing environment, your typical responsibilities include designing, analyzing, and optimizing flywheel systems used for energy storage or mechanical applications. You will collaborate closely with mechanical and electrical engineers to ensure the flywheel meets performance and safety specifications. Daily tasks often involve overseeing prototype development, troubleshooting issues during testing, and working with production teams to integrate flywheels into larger mechanical systems. Effective communication and problem-solving skills are key to succeeding in this collaborative and dynamic role.

What is the difference between Flywheel vs Web Developer?

AspectFlywheelWeb Developer
Required CredentialsTypically a background in digital marketing, advertising, or media production; certifications in digital tools are commonUsually a degree in computer science, web development, or related field; certifications in coding languages or frameworks
Work EnvironmentAgency or digital marketing firm; collaborative, client-focusedTech companies, agencies, or freelance; project-based, technical
Employer & Industry UsageMarketing agencies, media companies, startupsTech firms, digital agencies, freelance projects

Flywheel professionals focus on digital marketing strategies, content management, and client campaigns, while Web Developers primarily build and maintain websites using coding skills. Both roles often collaborate but serve different core functions within digital projects.

What are popular job titles related to Flywheel jobs in California?

For Flywheel jobs in California, the most frequently searched job titles are:

What job categories do people searching Flywheel jobs in California look for?

The top searched job categories for Flywheel jobs in California are:

What cities in California are hiring for Flywheel jobs?

Cities in California with the most Flywheel job openings:

Flywheel jobs near you
Infographic showing various Flywheel job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution.

Senior Software Engineer, Evaluation Flywheel - Autonomous Vehicles

Nvidia

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 21 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

NVIDIA is building the future of autonomous driving, and evaluation is how we know the drive is getting better. Our AV Evaluation team owns the metrics, golden datasets, and closed-loop evaluation workflows that decide what ships in NVIDIA's self-driving stack - every model change runs through us. We are bringing frontier vision-language models and agentic techniques to evaluation at scale, and the early results are changing how our organization develops AI drivers!

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.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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