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Tesla Computer Science Jobs in California (NOW HIRING)

Brain Co.

Machine Learning Engineer, Applied AI

San Francisco, CA · On-site

$180 - $280/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we ... Hold a BSc/Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related ...

Cacheflow

Senior Production Engineer

Mountain View, CA · On-site

$185 - $230/hr

Bachelor's in Computer Science or Electrical Engineering (MS preferred) * 5+ years experience in SR ... The company is backed by early investors in Google, DeepMind, Zoom and Tesla. Otter.ai is an equal ...

New

Alumni Ventures

Senior ML Engineer, Manipulation

San Francisco, CA · On-site

$200 - $300/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a ... MS or PhD in Robotics, Machine Learning, Computer Science, or a closely related field -- or ...

New

FlexAI

Software Engineer, New Grad

San Jose, CA · On-site

$100K - $150K/yr

Founded by Brijesh Tripathi, who brings experience from Nvidia, Apple, Tesla, Intel and Zoox ... S. in Computer Science, Software Engineering, or a related technical field * At least one ...

Otter.ai

Staff Software Engineer, Frontend

Mountain View, CA · On-site

$210K - $250K/yr

Bachelor's degree in computer science or related field, Masters degree is a plus About Otter.ai We ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Otter.ai

Staff Software Engineer, Frontend

Mountain View, CA · On-site

$210K - $250K/yr

Bachelor's degree in computer science or related field, Masters degree is a plus About Otter.ai We ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

$100 - $300/hr

Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase * World class ... Education: Degree in Computer Science or a closely related technical field (BS, MS, or PhD)

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

$100K - $300K/yr

Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase * World class ... Education: Degree in Computer Science or a closely related technical field (BS, MS, or PhD)

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All JobsTesla Computer Science JobsTesla Computer Science Jobs in California

Tesla Computer Science information

See California salary details

$55.8K

$82K

$96.7K

How much do tesla computer science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for tesla computer science in California is $82,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What is a Tesla computer science job?

A Tesla Computer Science job involves working on cutting-edge software and technology to support Tesla’s mission of accelerating the world’s transition to sustainable energy. Roles can include software engineering, artificial intelligence, data science, embedded systems, and cybersecurity. Employees develop and optimize software for Tesla’s vehicles, energy products, and internal systems. Strong programming skills, problem-solving abilities, and a passion for innovation are essential.

What typical projects or responsibilities might a computer science professional have at Tesla?

At Tesla, Computer Science professionals frequently work on projects involving the development and optimization of software for autonomous vehicles, factory automation, or energy management systems. Daily tasks may include designing scalable code, debugging complex systems, collaborating with cross-functional teams, and integrating new technologies into Tesla's products. Many roles require close teamwork with hardware engineers, data scientists, and product managers to achieve ambitious goals. This environment fosters ongoing learning and offers broad exposure to advanced technologies, giving employees the opportunity to rapidly develop their technical and leadership skills.

What are the key skills and qualifications needed to thrive in the Tesla computer science position, and why are they important?

To thrive in a Tesla Computer Science position, you need a solid background in software development, algorithms, and data structures, usually demonstrated through a degree in computer science or a related field. Familiarity with programming languages such as Python, C++, and Java, as well as experience with automation, embedded systems, and machine learning frameworks, is highly valuable. Problem-solving skills, strong collaboration, and adaptability set candidates apart in Tesla's fast-paced, innovative environment. These qualifications enable professionals to drive technological advancements and deliver reliable solutions for cutting-edge automotive and energy products.

Does Tesla hire computer science engineers?

Tesla hires computer science engineers for roles in software development, autonomous driving, and AI systems. Candidates typically need strong programming skills in languages like Python or C++, experience with machine learning, and knowledge of embedded systems or robotics. The company values innovation and technical expertise in its engineering teams.

What degree is best for a Tesla computer science career?

A bachelor's degree in computer science, software engineering, or a related field is typically required for a Tesla computer science career. Advanced roles may prefer or require a master's degree or higher, along with skills in programming, machine learning, or embedded systems relevant to Tesla's technology environment.

What are the most commonly searched types of Tesla Computer Science jobs in California?

The most popular types of Tesla Computer Science jobs in California are:

What are popular job titles related to Tesla Computer Science jobs in California?

For Tesla Computer Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Tesla Computer Science jobs in California look for?

The top searched job categories for Tesla Computer Science jobs in California are:

Tesla Computer Science jobs near you
Infographic showing various Tesla Computer Science job openings in California as of August 2026, with employment types broken down into 66% Full Time, 11% Part Time, and 23% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $82,020 per year, or $39.4 per hour.

Robotics AI Engineer - Sensor Calibration

FieldAI

Irvine, CA • On-site

Full-time

Posted 14 days ago

Job description

Robotics AI Engineer - Sensor Calibration
About Field AI
Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.
Learn more at https://fieldai.com.
About the Job
Field AI is seeking a Robotics AI Engineer to help advance the sensor calibration systems that power our autonomous robots. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work alongside a highly focused group of engineers developing production-grade calibration pipelines for complex multi-sensor robotic platforms. Your work will span camera, LiDAR, IMU, and other sensor modalities, contributing to intrinsic, extrinsic, and temporal calibration workflows that enable reliable perception in real-world environments. Depending on your experience and interests, you'll improve automated calibration tooling, optimize large-scale sensor data processing, and develop robust calibration algorithms that support our downstream localization, mapping, and autonomy systems. The ideal candidate combines a strong foundation in robotics, computer vision, and 3D geometry with the practical engineering skills needed to build scalable, maintainable software in a fast-paced, collaborative environment.
What You Get To Do
  • Develop and refine sensor calibration workflows for various sensor modalities (e.g., LiDAR, cameras, IMUs), including intrinsic, extrinsic and temporal calibration in online and offline settings.
  • Design and implement scalable systems to manage and process large sensor datasets for calibration purposes, ensuring high reliability and performance.
  • Implement and optimize algorithms in C++ and Python, maintaining a clean and organized code base.
  • Explore and integrate emerging technologies and tools to enhance sensor calibration workflows.
  • Collaborate with cross-functional teams to meet project-specific documentation requirements and deliverables.

What You Have
  • Master's degree in Computer Science, Engineering, or a related field.
  • 2+ years of work experience as a robotics software engineer, with expertise in robotics, computer vision and sensor calibration.
  • Proficiency in C++ and Python, with a proven ability to write maintainable and efficient code.
  • Solid background knowledge of 3D geometry and computer vision.
  • Solid understanding of sensor calibration techniques (e.g., camera intrinsic calibration, LiDAR-Camera calibration, multi-sensor extrinsic calibration).
  • Hands-on experience with sensor data processing tools and libraries such as PCL, Open3D, OpenCV, Kalibr, etc.
  • Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu.
  • Familiarity with backend optimization tools and libraries such as Ceres, GTSAM, g2o.
  • Strong problem-solving skills, attention to detail, and able to work independently while managing multiple priorities.
  • Strong work ethic, highly self-motivated, and excellent written and verbal communication skills.

The Extras That Set You Apart
  • Ph.D. in Computer Science, Engineering, or a related field.
  • Research experience with publications in top-tier conferences or journals related to robotics, computer vision or machine vision.
  • Familiarity with factory-level calibration procedures and tooling for high-volume product lines (e.g., drones, autonomous vehicles, AR/VR devices).
  • Hands-on experience calibrating hundreds of camera intrinsics or camera-LiDAR systems at scale, including automated or semi-automated workflows.

Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.
Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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