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Tesla Computer Science Jobs in Massachusetts (NOW HIRING)

Formlabs

Senior SLS Materials Scientist

Somerville, MA · On-site

$115K - $142K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus skills:

Formlabs

Senior SLS Materials Scientist

Boston, MA · On-site

$115K - $142K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... S., or PhD in a relevant science or engineering field (all are welcome)**Bonus skills:

Formlabs

Senior SLS Materials Scientist

Boston, MA · On-site

$115K - $142K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus skills:

Formlabs

Software Engineer - Print Pipeline

Somerville, MA · On-site

$120K - $170K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Excited to study computer science journal articles to supplement algorithm development* Experience ...

Formlabs

NPI Operations Program Manager

Somerville, MA · On-site

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Mechanical, electrical, computer science * Willingness and ability to travel internationally ...

Formlabs

Software Product Designer

Somerville, MA · On-site

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Computer Science background or coding experience. * Experience with Qt, QML, or OpenGL. Our ...

Formlabs

Startup Founder

Somerville, MA · On-site

$250K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Bonus Skills: * Robotics, Mechanical Engineering, Computer Science Degree, or related

Formlabs

Startup Founder

Somerville, MA · On-site

$250K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Bonus Skills: * Robotics, Mechanical Engineering, Computer Science Degree, or related

FUJIFILM Biotechnologies

QualificationsAssociates degree in electrical engineering, electronics or computer science ... The position may require the ability to physically work in high magnetic fields of up to 3 Tesla ...

Formlabs

Software Product Designer

Somerville, MA · On-site

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Computer Science background or coding experience.* Experience with Qt, QML, or OpenGL.**Our ...

Formlabs

Software Product Designer

Somerville, MA · On-site

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Computer Science background or coding experience. * Experience with Qt, QML, or OpenGL. Our ...

Socket.dev

Software Product Designer

Somerville, MA · On-site

$110K - $165K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Computer Science background or coding experience. * Experience with Qt, QML, or OpenGL. Our ...

Formlabs

NPI Operations Program Manager

Somerville, MA · On-site

$95K - $130K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Mechanical, electrical, computer science * Willingness and ability to travel internationally ...

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Tesla Computer Science information

See Massachusetts salary details

$61.7K

$90.8K

$107K

How much do tesla computer science jobs pay per year?

As of Sep 12, 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 Engineering Manager, Robotics and Humanoid Research

Boston, MA • On-site

FieldAI
201 - 500 employees
Learn more about FieldAIexternal

$70K - $300K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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.
We are seeking an accomplished Senior Engineering Manager to lead a lean, high-performing team of research scientists and engineers working at the forefront of robotics AI. In this role, you will define and drive research strategy, oversee the development of advanced AI algorithms, and guide programs from early research through real-world deployment on physical robotic systems. You will balance deep technical leadership with people management, ensuring both scientific excellence and real-world impact.
This is an opportunity to shape the future of robotic autonomy by translating cutting-edge research into systems that operate reliably in complex, dynamic environments on real robots.
What You Will Get To Do
  • Set Research Vision and Strategy
  • Define and execute the robotics AI research roadmap in alignment with FieldAI's mission and product goals.
  • Identify emerging research directions, tools, and techniques across robotics, embodied AI, and machine learning.
  • Establish clear technical goals, milestones, and success metrics tied to real-world robot performance.
  • Lead and Grow Research Teams
  • Recruit, mentor, and manage a multidisciplinary team of research scientists and engineers.
  • Provide hands-on technical leadership through design reviews, experiment reviews, and close collaboration on challenging problems.
  • Own performance management, professional development, and career progression within the team.
  • Drive End-to-End Research and Deployment
  • Lead projects from problem definition through algorithm design, simulation, on-robot testing, and field deployment.
  • Ensure research outputs translate into robust, scalable, and safe systems on physical robots.
  • Champion experimental rigor, including benchmarking, ablations, reproducibility, and failure analysis.
  • Partner Across the Organization
  • Collaborate closely with product, engineering, and operations teams to integrate research into production systems.
  • Communicate technical progress, risks, and tradeoffs clearly to cross-functional stakeholders and leadership.
  • Represent Field AI externally through publications, conferences, collaborations, and recruiting.
  • Ensure Operational Excellence
  • Build and maintain processes for experiment management, evaluation, and reproducibility.
  • Manage resources, timelines, and priorities to deliver high-quality results efficiently.
  • Foster a culture of technical excellence, ownership, and rapid iteration.

What You Have
  • PhD in Computer Science, Robotics, Artificial Intelligence, or a related field, or equivalent practical experience, with a strong background in applied research.
  • 8+ years of experience delivering impactful research in robotics AI, machine learning, or closely related domains.
  • 4+ years of leadership experience managing research and engineering teams, including hiring, mentorship, performance management, and career development.
  • Proven ability to lead multiple complex projects in parallel, from early research through real-world validation.
  • Direct, hands-on experience developing, testing, and deploying AI models on humanoid and/or quadruped robots.

The Extras That Set You Apart
  • Experience with large-scale field robotics deployments.
  • Deep expertise in one or more areas such as robotics reinforcement learning, manipulation, perception, planning, or multi-robot systems.
  • Demonstrated success with sim-to-real transfer on legged or humanoid platforms.
  • Experience deploying AI on embedded or edge systems in resource-constrained environments.
  • Publications or impactful open-source contributions in robotics or embodied AI.

$70,000 - $300,000 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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