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Tesla Computer Science Jobs in Massachusetts (NOW HIRING)

Formlabs

Head of Software Product Management

Somerville, MA · On-site

$254K - $266K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Preferably have a computer science or embedded engineering background * At least 5 years of ...

Formlabs

Senior Shopify Engineer

Somerville, MA · On-site

$133K - $176K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

Formlabs

Senior Shopify Engineer

Somerville, MA · On-site

$133K - $176K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent ...

Formlabs

Industrial Design Fellowship

Somerville, MA · On-site

$140K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Create high quality CAD to communicate design intent * Collaborate closely with Product, UI Design ...

Formlabs

Senior Industrial Designer

Somerville, MA · On-site

$111K - $119K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Create high quality CAD to communicate design intent * Collaborate closely with Product, UI Design ...

Formlabs

R&D Engineer

Somerville, MA · On-site

Understand programming and scientific computing, ideally Python or Matlab * Familiar with ... CAD modeling * B.S., M.S., or PhD in an engineering field (all are welcome) Bonus Skills:

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Tesla Computer Science information

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$61.7K

$90.8K

$107K

How much do tesla computer science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for tesla computer science in Massachusetts is $90,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $102,100.00 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 Massachusetts?

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

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

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

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

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

Tesla Computer Science jobs near you
Infographic showing various Tesla Computer Science job openings in Massachusetts as of August 2026, with employment types broken down into 59% Full Time, 16% Part Time, and 25% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $90,765 per year, or $43.6 per hour.

Senior Robotics Software Engineer, System Integration

Boston, MA • On-site

FieldAI
201 - 500 employees
Learn more about FieldAIexternal

$115K - $170K/yr

Full-time

Re-posted 9 days ago

Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.

FieldAI is seeking passionate engineers to play a vital role in the development of our humanoid robot software stack. You will work with a focused team in a fast-paced environment to integrate perception, planning, locomotion, and manipulation subsystems into a single cohesive system that runs reliably on real hardware in unstructured, real-world environments. A core part of this role will be working with integrating and graduating research-grade capabilities into robust, production-quality systems. The ideal candidate will have a strong understanding of robotic software systems and the practical skills to deliver high-quality, maintainable code on a small, focused team.
What You'll Get To Do
  • Develop and maintain the core software framework that composes perception, planning, locomotion, and manipulation into a deployable system on humanoid platforms.
  • Define and enforce subsystem interfaces, communication patterns, and data contracts for reliable, independent module development.
  • Own system bring-up, sensor calibration, and validation workflows for new sensor/platform revisions and configurations.
  • Partner with research engineers to take algorithms from prototype to production-quality, tested, maintainable code.
  • Identify and close reliability gaps with fault handling, performance budgets, integration/regression tests, and hardware validation.
  • Build repeatable "graduation" pipelines so new capabilities land without breaking existing functionality.
  • Design and run end-to-end integration tests across hardware and simulation.
  • Build tooling for automated diagnostics, telemetry, and post-run analysis to speed up debugging.
  • Coordinate integration milestones across teams, flag risks early, and keep the system continuously shippable.
  • Profile and optimize latency, throughput, and memory on embedded platforms under real-time constraints.
  • Harden the stack against real-world failure modes (sensor dropouts, comms loss, thermal throttling, degraded modes).
  • Implement runtime monitoring and health checks so the robot can detect, log, and recover from faults autonomously.
What You Bring
  • Bachelor's or Master's in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent industry experience).
  • 7+ years hands-on experience developing and integrating robotics software, including work on physical hardware.
  • Strong C++ and Python proficiency with modern best practices; able to work in large, multi-language codebases.
  • Strong understanding of ROS/ROS2 and experience designing, building, and deploying nodes in complex robotic systems.
  • Solid understanding of real-time systems, inter-process communication, and resource-constrained embedded compute environments.
  • Experience hardening research/prototype code into production-quality software with testing and fault handling.
  • Strong problem-solving skills, attention to detail, and ability to work independently while managing multiple priorities.
  • Strong work ethic, self-motivated, and excellent written/verbal communication skills.
What Will Set You Apart
  • Experience with humanoid robots, legged locomotion platforms, or complex dexterous manipulation systems.Familiarity with motion planning, whole-body control, or contact-rich manipulation pipelines.
  • Experience working with computationally constrained platforms and designing efficient, real-time software with low overhead.
  • Background in CI/CD, automated testing, and release engineering for robotics software.
  • Contributions to open-source robotics frameworks or tools.
  • Experience deploying robots in unstructured, real-world environments (construction, logistics, manufacturing, mining, defense).
$115,000 - $170,000 a year
Why Join Field AI?
FieldAI is tackling one of robotics' hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.
 
You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
 
Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.
 
Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.
 
Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, 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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