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Tesla Computer Science Jobs in California (NOW HIRING)

LightSource

Senior PM

San Francisco, CA · On-site

$150 - $200/hr

Ideally computer science, engineering, information systems, mathematics, physics, applied sciences ... Tesla, Waymo, Google, Meta, Amazon, Dropbox, Airbnb and many more). And now we're tackling an ...

Cogent Security

AI Research Scientist

San Francisco, CA · On-site

$100K - $300K/yr

Unicorn, high-growth companies like Scale AI, Databricks, Stripe, Tesla, Coinbase * World class ... An MSc or PhD/DPhil in Computer Science or a closely related technical field * Proven Track Record:

Info Way Solutions

Staff Software Engineer

Fremont, CA · On-site

... financial systems for Tesla's products and services, ensuring 99.99% uptime • Lead the ... Required : • Degree in Computer Science, Information Technology, Software Engineering, or related ...

Kaav Inc

Full stack sw engineer role

Palo Alto, CA · On-site

... tesla, honda, mercedes etc Contract - 3 year Experience Need 10 years Automotive Full-stack SW ... S. in Computer Science and 5 years of industry experience, or at least 10 years of equivalent ...

Otter.ai

Senior Applied Scientist, Speech

Mountain View, CA · On-site +1

$230K - $265K/yr

Holds a Bachelor's or Master's degree in Computer Science or a related field with 5+ years of ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Otter.ai

Senior Applied Scientist, Speech

Mountain View, CA · On-site

$230K - $265K/yr

Holds a Bachelor's or Master's degree in Computer Science or a related field with 5+ years of ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Medra

Robotics Software Engineer

San Francisco, CA · On-site

The Team: * We're a team of passionate, mission-driven engineers from companies like Tesla, Amazon ... D. in Computer Science, Mechanical Engineering, Electrical Engineering, Aeronautical Engineering or ...

Arini

Software Engineer II

San Francisco, CA · On-site

$170K - $185K/yr

Meta, SpaceX, Tesla, MIT, Berkeley, Harvard, and other YC startups. Our founding team has deep ... Employer will accept a bachelor's degree in computer science, information systems, or a related ...

ARINI

Software Engineer II

San Francisco, CA · On-site

$150 - $200/hr

Meta, SpaceX, Tesla, MIT, Berkeley, Harvard, and other YC startups. Our founding team has deep ... Employer will accept a bachelor's degree in computer science, information systems, or a related ...

ApplyMint

Software Engineer II

San Francisco, CA · On-site

$150 - $200/hr

Meta, SpaceX, Tesla, MIT, Berkeley, Harvard, and other YC startups. Our founding team has deep ... Requirements Employer will accept a bachelor's degree in computer science, information systems, or ...

Emergent Software

Embedded Software Engineer

Carlsbad, CA · On-site

$150K - $190K/yr

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related ... Experience with Tesla, Rivian, hybrid vehicle programs, or similar organizations * Knowledge of EV ...

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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 Sep 9, 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 65% Full Time, 30% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $82,020 per year, or $39.4 per hour.

Senior Software Engineer, 3D Computer Vision

Irvine, CA • On-site

FieldAI
201 - 500 employees
Learn more about FieldAIexternal

$150K - $200K/yr

Full-time

Re-posted 17 days ago

Job description


Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
What You Get To Do:
  • Develop and optimize point cloud processing pipelines, including registration, denoising, normal estimation, segmentation, and primitive extraction
  • Design efficient algorithms for large-scale, unstructured 3D datasets with attention to memory and runtime performance
  • Implement production-grade computational geometry and linear algebra in C++ and Python
  • Solve complex reconstruction challenges such as loop closure, global consistency, and multi-view fusion
  • Evaluate and integrate emerging 3D vision methods (e.g., neural implicit representations, advanced meshing techniques)
  • Partner with platform teams to ensure scalable, efficient deployment of algorithms
What You Bring:
  • 4+ years of experience in Computer Vision, Computational Geometry, or 3D-focused Software Engineering
  • Master's or Ph.D. in Computer Science, Applied Mathematics, or related field with specialization in 3D vision or geometric processing
  • Strong proficiency in modern C++ (C++14/17) and Python
  • Solid mathematical foundation in 3D geometry, linear algebra, rigid body transformations (SE(3), quaternions), and projective geometry
  • Deep experience with point cloud algorithms (ICP, GICP, RANSAC, NDT, region growing) and spatial data structures (k-d trees, octrees, voxel grids)
  • Hands-on experience with libraries such as PCL, Open3D, Eigen, or Ceres
  • Familiarity with common 3D data formats (PCD, PLY, E57, LAS)
  • Strong problem-solving skills and ability to translate academic research into production-ready code
What Sets You Apart:
  • Experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) for bundle adjustment or pose graph optimization
  • Background in SLAM or Structure from Motion (SfM) pipelines
  • Experience processing LiDAR, RGB-D, or photogrammetry datasets
  • Familiarity with Linux development environments and containerization (Docker)
  • Exposure to ROS (not required)
  • Knowledge of survey-grade accuracy standards and georeferencing algorithms
$150,000 - $200,000 a year
Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 

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 Mission Viejo (Irvine adjacent), 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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