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Flywheel Jobs in California (NOW HIRING)

Drive the ML Flywheel: Lead the end-to-end lifecycle of ML data, from initial mining and curation to labeling policy definition, validation, and model evaluation. Work cross-functionally to ensure ...

Manager, Retail Marketing, Amazon

Los Angeles, CA · On-site

$75K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The "Digital Flywheel" Strategy * Lead cross-category initiatives that leverage Paramount's media milestones (theatrical/streaming) to boost retail sales * You ensure that a "Top Gun: Maverick ...

Flywheel measurement. Build the analytical view of how our businesses (admin, Carry, Ark, Meridian) reinforce each other, where the flywheel is real, where it's aspirational, and what investments ...

Flywheel measurement. Build the analytical view of how our businesses (admin, Carry, Ark, Meridian) reinforce each other, where the flywheel is real, where it's aspirational, and what investments ...

Responsibilities : • Build the Semantic Layer Design and own the semantic layer that powers our system-of-record flywheel. This layer is the foundation for how data, state, and meaning flow through ...

Showing results 41-60

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 cities in California are hiring for Flywheel jobs?

Cities in California with the most Flywheel job openings:

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 Director - GenAI Data Strategy

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 8 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

As the Senior Director -Gen AI Data Strategy, you will own the comprehensive data strategy that fuels our most sophisticated foundation models. Data is the architecture of intelligence, moving beyond simple data fulfillment to become a visionary architect of our "data flywheel". Partner with top research scientists and engineers to identify model failure modes and bridge performance gaps through strategic data acquisition, curation, and synthetic generation.
What You Will be doing:
  • Holistic Data Strategy & Roadmap: Define and evolve the end-to-end roadmap for multi-lingual data acquisition across various modalities (text, vision, audio, etc.) to train and evaluate large-scale AI models. Data sources include:Pre-training: Large scale knowledge-based data collection. Post-training: Planning and collecting for next generation agentic capabilities. Building a golden bench set for both academic and real world measurements.
  • The Data Flywheel & Failure Analysis: Collaborate with research teams to interpret model edge cases and failure modes. Use these insights to refine data collection logic, crafting a continuous loop where model output informs the next phase of data acquisition.
  • Strategic Data Acquisition: Manage an external ecosystem of data partners and vendors. Establish meticulous qualification and acceptance criteria, ensuring all licensed assets meet legal, ethical, and technical standards.
  • Human-in-the-Loop (HITL) & Alignment: Lead the strategy for high-quality human data collection, including RLHF (Reinforcement Learning from Human Feedback), SFT (Supervised Fine-Tuning), and complex "human-in-the-loop" workflows to ensure model safety and alignment.
  • Synthetic Data Innovation: Orchestrate the synthetic data stream used to bootstrap and amplify model fine-tuning and evaluation techniques, effectively bridging the gap between real-world scarcity and infinite scale.
  • Customer & Ecosystem Engagement: Partner with Solutions Architects and enterprise customers to translate real-world deployment gaps into data priorities. Contribute to NVIDIA's open data strategy, defining benchmarks for developer adoption and dataset release.
  • Quality & Governance Frameworks: Establish data quality frameworks, including de-duplication, versioning, bias detection, and ethical filtering. Lead internal policies on data privacy, consent, and transparency.

What We Need to See:
  • Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related technical field (or equivalent experience).
  • 18+ overall years of experience in product management or data operations specifically within the AI/ML sector at a technology company.
  • 8+ years direct people management experience
  • Frontier Model Knowledge: Deep understanding of LLM/VLM architectures, training regimes, and alignment methods like RLHF and RLAIF.
  • Data-Centric Attitude: A "Full Stack" data perspective, with a proven track record of managing large-scale data pipelines and dealing with diverse modalities.
  • Customer Empathy: Experience working directly with enterprise customers or SAs to identify product capability gaps and translating those into concrete data collection requirements.

Ways to Stand Out From the Crowd:
  • Open Data & Ecosystem Strategy: Experience releasing public datasets or driving data-as-a-resource initiatives that activate an external developer community.
  • Industry Standardization: Experience driving industry-wide standards for data formats and quality metrics.
  • Tooling Proficiency: Exposure to data management and labeling platforms (e.g., Scale.ai, Labelbox) and technical tools like Python, SQL, or Spark.

NVIDIA is widely considered to be one of the technology world's most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 340,000 USD - 517,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 14, 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

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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