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Tesla Computer Science Jobs (NOW HIRING)

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 ...

Early Career AI/ML Engineer

San Francisco, CA · On-site

$134K - $162K/yr

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 ...

Our team includes individuals with experience at SpaceX, Tesla, Apple, Blue Origin, the U.S ... Bachelor's degree in Engineering, Computer Science, Information Technology, or equivalent ...

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

Materials Scientist

Boston, MA · On-site

$75K - $115K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

Materials Scientist

Somerville, MA · On-site

$75K - $115K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

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Tesla Computer Science information

See salary details

$56.5K

$83.1K

$98K

How much do tesla computer science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for tesla computer science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

Is it difficult to get hired at Tesla?

Getting hired for a Tesla Computer Science role can be competitive, as the company seeks candidates with strong technical skills, relevant experience, and a solid educational background in computer science or related fields. The hiring process often involves multiple interviews, technical assessments, and demonstrating problem-solving abilities. Candidates who showcase proficiency in programming, data structures, and systems design tend to have better chances.

How much do Tesla computer science jobs pay?

Tesla computer science jobs typically offer salaries ranging from $80,000 to over $150,000 annually, depending on experience, role, and location. Entry-level positions may start lower, while senior roles or specialized positions such as software engineers or data scientists tend to pay higher. Compensation often includes benefits like stock options and performance bonuses.

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.

What is the highest paid job at Tesla?

At Tesla, executive roles such as Vice President or Senior Vice President tend to be the highest paid, often earning multi-million dollar compensation packages that include base salary, bonuses, and stock options. These positions require extensive experience, leadership skills, and a deep understanding of the company's technology and operations.

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.

Does Tesla hire computer engineers?

Tesla hires computer engineers for roles involving software development, embedded systems, and autonomous vehicle technology. Candidates typically need strong programming skills in languages like C++ or Python, along with experience in robotics, AI, or embedded systems. The company offers opportunities in engineering teams focused on innovation and advanced technology.

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.

More about Tesla Computer Science jobs
What are the most commonly searched types of Tesla Computer Science jobs? The most popular types of Tesla Computer Science jobs are:
What states have the most Tesla Computer Science jobs? States with the most job openings for Tesla Computer Science jobs include:
Infographic showing various Tesla Computer Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Senior Software Engineer, 3D Computer Vision

FieldAI

Irvine, CA • On-site

$135K - $170K/yr

Full-time

Posted 15 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:
  • 2+ 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

$135,000 - $170,000 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.