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Car Tech Jobs in California (NOW HIRING)

Paramount Recovery Service

Camera Car Driver

Modesto, CA · On-site

$12.75 - $17/hr

Powered by state-of-the-art LPR technology, we value the smooth transition of assets, no matter ... We are seeking highly motivated Camera Car Drivers to join our team. The successful candidate will ...

Paramount Recovery Service

Camera Car Driver

Signal Hill, CA · On-site

$12.75 - $17/hr

Powered by state-of-the-art LPR technology, we value the smooth transition of assets, no matter ... We are seeking highly motivated Camera Car Drivers to join our team. The successful candidate will ...

Capitol Nissan-INFINITI

USED CAR MANAGER

San Jose, CA

$75K - $180K/yr

A Used Car Manager (working full time) has unlimited earning potential and typically earns between ... Experience and desire to work with technology. * High School diploma or equivalent * Clean driving ...

Capitol Nissan-INFINITI

USED CAR MANAGER

San Jose, CA · On-site

$75K - $180K/yr

A Used Car Manager (working full time) has unlimited earning potential and typically earns between ... Experience and desire to work with technology. * High School diploma or equivalent * Clean driving ...

Capitol Nissan-INFINITI

USED CAR MANAGER

San Jose, CA · On-site

$75K - $180K/yr

A Used Car Manager (working full time) has unlimited earning potential and typically earns between ... Experience and desire to work with technology. * High School diploma or equivalent * Clean driving ...

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All JobsCar Tech JobsCar Tech Jobs in California

Car Tech information

See California salary details

$9

$18

$27

How much do car tech jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for car tech in California is $18.35, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $20.38 per hour, depending on experience, location, and employer.

What is a car tech?

Car Techs, short for Car Technicians or Automotive Technicians, are skilled professionals who inspect, maintain, and repair vehicles. Their responsibilities include diagnosing mechanical and electrical issues, performing routine maintenance such as oil changes and tire rotations, and ensuring vehicles are safe and efficient to operate. Car Techs often work in auto repair shops, dealerships, or specialized service centers, using a variety of tools and diagnostic equipment. They play a crucial role in keeping cars running smoothly and addressing any issues before they become major problems.

What are the key skills and qualifications needed to thrive as a car tech?

To thrive as a Car Tech, you need a solid understanding of automotive systems, diagnostics, and repair, often supported by a vocational certificate or associate degree in automotive technology. Familiarity with diagnostic scanners, repair databases, and manufacturer-specific tools is crucial for efficient troubleshooting and service. Strong problem-solving skills, attention to detail, and effective communication with team members and customers set top performers apart. These skills ensure accurate repairs, customer satisfaction, and workplace safety in a fast-evolving automotive industry.

What are some common challenges car techs face when diagnosing modern vehicles, and how can they overcome them?

Car Techs often encounter challenges with the increasing complexity of modern vehicles, especially as more electronic and computerized systems are integrated. Diagnosing issues now frequently requires using specialized diagnostic tools and staying updated with new technologies. To overcome these challenges, techs benefit from ongoing training, collaborating with experienced team members, and accessing updated technical manuals or service bulletins. Many shops also encourage sharing knowledge within the team to quickly solve unusual problems and ensure efficient repairs.

What is the difference between Car Tech vs Auto Technician?

AspectCar TechAuto Technician
CertificationsASE Certification, manufacturer-specific trainingASE Certification, state licensing
Work EnvironmentRepair shops, dealerships, service centersRepair shops, dealerships, independent garages
Job ResponsibilitiesDiagnosing, repairing, and maintaining vehicles, often focusing on electronics and systemsPerforming repairs, diagnostics, and maintenance on vehicles, including mechanical and electrical systems

Car Tech and Auto Technician roles often overlap in certifications and work environments. Car Techs typically focus on electronic systems and diagnostics, while Auto Technicians handle broader mechanical repairs. Both roles are essential in automotive service industries and require similar credentials, but their specific focus areas differ slightly.

How much do car technicians get paid?

Car technicians typically earn a median annual salary of around $40,000 to $60,000, depending on experience, certifications, and location. Entry-level technicians may start lower, while experienced or specialized technicians can earn higher wages, especially with ASE certifications and advanced skills.

What are popular job titles related to Car Tech jobs in California?

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

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

The top searched job categories for Car Tech jobs in California are:

What cities in California are hiring for Car Tech jobs?

Cities in California with the most Car Tech job openings:

Car Tech jobs near you
Infographic showing various Car Tech job openings in California as of August 2026, with employment types broken down into 51% Full Time, 46% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $38,174 per year, or $18.4 per hour.

Engineering Manager, Machine Learning Behavior Planning & Prediction

Woven by Toyota

Palo Alto, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM
The Behavior team at Woven by Toyota tackles Autonomy challenges for problems in prediction and trajectory planning. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Prediction and Motion Planning.
 
WHO ARE WE LOOKING FOR?
We are seeking an experienced and technically strong, hands-on Engineering Manager to lead a group of highly talented and passionate engineers in the behavior team. This role is focused on developing and deploying state-of-the-art machine learning models for planning and prediction in AD/ADAS, along with their associated data processing pipelines and vehicle deployment. The ideal candidate has a deep passion for self-driving technology and its potential global impact. You will lead your team in advancing our core behavior machine learning models and accompanying pipelines. We are looking for an individual with domain expertise in machine learning, a comprehensive understanding of the model lifecycle, and experience developing tools and pipelines for behavior problems. Success in this role requires a candidate who thrives in a fast-paced environment, is hands-on, and is eager to push the boundaries of our technology. Prior experience building and deploying real-world autonomous driving products, collaborating with highly talented engineers, is essential.
RESPONSIBILITIES
  • Define the team's short-term and long-term technical direction while collaborating on broader, cross-functional strategic initiatives.
  • Initiate and influence cross-functional teams towards common development goals.
  • Enable and help other engineers on the team to be more effective through coaching and leading by example and by providing high-quality code and design document reviews and delivering rigorous reports from ML experiments.
  • Be actively involved in day-to-day development and code review.
  • Collaborate with team members to design, develop, deploy, and evaluate state of the art algorithms and capabilities for prediction and motion planning.
  • Use metrics to measure, validate, and improve performance through testing in simulation and on roads.
  • Design reusable software components as part of an integrated system.
  • Understand and fulfill the software practices that produce maintainable code, including simulation, continuous integration, code review, HIL testing, and in-vehicle testing.
  • Be a champion of the scientific method and critical thinking to invent state-of-the-art deep learning solutions
  • Work in a high-velocity environment and employ agile development practices.
  • Collaborate closely with teams such as Perception, Simulation, Infrastructure, and Tooling to drive unified solutions.
MINIMUM QUALIFICATIONS
  • M.S., Ph.D., or equivalent, in Computer Science, Robotics, Control, Applied Mathematics, or other quantitative fields.
  • 3+ years of experience managing an engineering team, both in people management and technical leadership. A strong candidate should have demonstrated strong technical leadership, team development, and delivered high-impact projects in the automotive industry.
  • 5+ years of experience with learning-based planning approaches such as supervised/unsupervised imitation learning, transfer learning, multi-task learning, reinforcement learning, and state-of-the-art techniques for sequential modeling like Transformer architectures
  • 5+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
  • Passionate about self-driving car technology and its potential for humanity.
  • Strong communication skills with the ability to communicate concepts clearly and precisely
  • Strong programming skills in Python.
NICE TO HAVES
  • Published research at top-tier conferences (NeurIPS, CVPR, RSS, IROS, ICRA, and similar).
  • Proven track record of deploying ML models at scale in self-driving or related fields.
  • Familiarity with production-level coding in time-limited task schedules.
  • Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control) 
  • Experience with temporal data and/or sequential modeling.
  • Experience in self-driving challenges (Perception, Prediction, Planning, Simulation).
The base pay ranges from $140,000 to $230,000 per year.
 
Your base salary is one part of your total compensation. We offer a base salary, short-term and long-term incentives, and a comprehensive benefits package. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.

WHAT WE OFFER
We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.
Excellent health, wellness, dental and vision coverage
A rewarding 401k program
Flexible vacation policy
Family planning and care benefits

Our Commitment
We are an equal opportunity employer and value diversity.
Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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