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F1 Engineer Jobs in California (NOW HIRING)

Five9

WEM AQM Prompt Engineer

San Francisco, CA

We are seeking three WEM AQM Prompt Engineers to join this new capability team. These roles sit at ... recall, and F1-score thinking to prompt performance measurement. * Proven ability to translate ...

Apple Inc.

Cloud Media Engineer

Cupertino, CA · On-site

$129 - $225/hr

Today, that legacy lives in every F1 race streamed live on Apple TV, every song that starts playing ... The Cloud Media Engineering team needs a curious, talented, creative, and motivated engineer to ...

Five9

WEM AQM Prompt Engineer

San Ramon, CA · On-site

We are seeking three WEM AQM Prompt Engineers to join this new capability team. These roles sit at ... recall, and F1-score thinking to prompt performance measurement. * Proven ability to translate ...

Worky

Senior Frontend Software Engineer

Sacramento, CA · On-site

$105 - $145/hr

POSITION SUMMARY The Senior Frontend Engineer is a technical leader who owns large-scale UI ... F1, CPT, OPT, STEM OPT, visa status and other employment‑based nonimmigrant visas) for this ...

Taskrabbit

Staff Data Engineer

San Francisco, CA · On-site +1

$150K - $200K/yr

We are currently unable to provide visa sponsorship for this position (including H-1B, OPT, F1, CPT ... About the Role We're hiring a Staff Data Engineer to build the data foundation for a new discovery ...

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Showing results 41-60

All JobsF1 Engineer JobsF1 Engineer Jobs in California

F1 Engineer information

See California salary details

$30.6K

$94.5K

$125.8K

How much do f1 engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for f1 engineer in California is $94,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,900.00 and $114,500.00 per year, depending on experience, location, and employer.

What is an F1 engineer?

F1 Engineers are specialized professionals who design, develop, and optimize the performance of Formula 1 cars. They work in various roles such as race engineers, performance engineers, and design engineers, collaborating closely with drivers and technical teams. Their responsibilities include analyzing data, improving car setups, and ensuring compliance with regulations to achieve maximum speed and reliability on the track. F1 Engineers play a crucial role in a team's success during both races and development phases.

What are the key skills and qualifications needed to thrive as an F1 engineer, and why are they important?

To thrive as a F1 Engineer, you need a deep understanding of mechanical or automotive engineering, advanced problem-solving abilities, and typically a relevant engineering degree. Familiarity with CAD software, telemetry systems, and simulation tools, as well as experience with rapid prototyping and data analysis platforms, is crucial. Excellent teamwork, communication, and the ability to perform under pressure distinguish top candidates in this high-stakes environment. These skills and qualities are vital to ensuring innovation, precision, and seamless collaboration in the fast-paced world of Formula 1 racing.

What are some common challenges F1 engineers face when working with race teams during a season?

F1 Engineers often encounter the challenge of adapting quickly to changing race conditions and regulations, which requires constant problem-solving and innovative thinking. They work in high-pressure environments where split-second decisions can impact race outcomes, and collaboration with drivers, mechanics, and other engineers is crucial. Additionally, balancing the need for performance improvements with strict technical regulations and tight deadlines can be demanding. These challenges make the role dynamic and rewarding for those who thrive in fast-paced, team-oriented settings.

What is the difference between F1 Engineer vs Race Engineer?

AspectF1 EngineerRace Engineer
CredentialsEngineering degree, motorsport certificationsEngineering degree, motorsport certifications
Work EnvironmentF1 teams, race tracks, engineering labsF1 teams, race tracks, engineering labs
Industry UsageDesign, development, testing of F1 carsCommunication, strategy, car setup during races
Primary FocusTechnical development and analysisReal-time race strategy and driver communication

While both F1 Engineers and Race Engineers work within the motorsport industry, F1 Engineers focus on the technical development and testing of the car, whereas Race Engineers handle real-time race strategy and driver communication during events. Both roles require engineering expertise and are integral to a team's success in Formula 1 racing.

What are popular job titles related to F1 Engineer jobs in California?

For F1 Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching F1 Engineer jobs in California look for?

The top searched job categories for F1 Engineer jobs in California are:

What cities in California are hiring for F1 Engineer jobs?

Cities in California with the most F1 Engineer job openings:

F1 Engineer jobs near you
Infographic showing various F1 Engineer job openings in California as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $94,542 per year, or $45.5 per hour.

ML Engineers - with LLM GenAI

Spark Tek Inc

San Jose, CA • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Spark Tek Inc is a company focused on machine learning solutions, and they are seeking ML Engineers with expertise in LLM GenAI. The role involves writing efficient machine learning workflows, evaluating model performance, and collaborating with cross-functional teams to implement ML solutions.
Responsibilities:
• Write efficient machine learning workflows and pipelines
• Measure Model metrics to evaluate the performance of the model (Predictive & Gen AI metrics) - ( F1 Score, Faithfulness, Answer Relevancy etc. )
• Evaluate and compare model performance for specific tasks to enable picking the optimal models
• Apply Guardrails for both inputs and outputs
• Identify areas of improvements for machine learning pipelines and models and implement them
• Collaborate with Data scientists, MLOps/Devsecops and UX engineers to implement the solution
• Collaborate with cross functional teams to translate business requirements into ML solutions
• Document and communicate, ml workflows, algorithms and solutions to technical and non-technical stakeholders
• AI application experience with Network Domain solutions would be a plus
Qualifications:
Required:
• ML Engineer with 4-6 Years of relevant experience
• Excellent experience with Python NLP libraries (NLTK, gensim, spacy etc.)
• Good experience with deploying production models for Classification / Regression tasks
• Working experience with LLM Application frameworks like langchain
• Working experience with LLM Data and pre-processing frameworks like Llamaindex and unstructured.io
• Experience with applying guardrails for machine learning workflows. Experience with nemo-guardrails for LLM and microsoft presidio or any other PII removal frameworks
• Working experience with open source and commercial LLM models
• Working experience in benchmarking embedding models (both open and closed source) for vectorization and indexing
• Working experience on integrating with any Vector Databases (elastic, quadrant etc.)
• Experience with any MLOps frameworks (open source or commercial)
• Experience with any cloud based AI platforms (Sagemaker, Vertex AI etc.)
• Experience with HungginFace libraries (SentenceTransformers etc.)
• Adept at prompt engineering - Using the right prompts that maximises the accuracy of the Models response
• Excellent experience with Python and the related ecosystem for package management
• Excellent knowledge of Notebook environment (Jupyter, VS Code IDE) for experimentation and development
• Good experience with Git platforms and development workflows (Github, Gitlab etc.)
Preferred:
• AI application experience with Network Domain solutions would be a plus
• Experience with any MLOps frameworks (open source or commercial) would be a plus
• Rust, Go or C for compute efficient workflows like efficient model serving would be a plus
Company:
Spark Tek Inc offers IT solutions and consultancy services, specializing in IT services and consulting for various industries. Founded in 2021, the company is headquartered in Farmers Branch, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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