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Tesla Computer Science Jobs in Massachusetts (NOW HIRING)

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

$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

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

Startup Founder - Form Now

Boston, MA · On-site

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Degree in Mechanical Engineering, Robotics, Computer Science, or a related technical field. * MBA ...

Formlabs

Startup Founder - Form Now

Billerica, MA

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Degree in Mechanical Engineering, Robotics, Computer Science, or a related technical field. * MBA ...

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 ...

Formlabs

Product Leader, Software

Boston, MA · On-site

... 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 ...

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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 Jun 11, 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.

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 expertise in programming, algorithms, and familiarity with Tesla's technologies tend to have better chances.

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 paying job at Tesla?

At Tesla, executive roles such as Vice President or Senior Director tend to be the highest paying positions, often earning multi-million dollar compensation packages including salary, bonuses, and stock options. These roles typically require extensive experience, advanced technical knowledge, and leadership skills in areas like engineering, manufacturing, or business strategy.

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 and experience with hardware integration and AI systems. The company values technical expertise and innovation in its engineering teams.

How much do computer engineers make at Tesla?

Computer engineers at Tesla typically earn between $80,000 and $130,000 annually, depending on experience, location, and specific role. Salaries can vary based on skills in software development, embedded systems, and familiarity with tools like Python or C++.

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 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 June 2026, with employment types broken down into 68% Full Time, 24% Part Time, 3% Temporary, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $90,765 per year, or $43.6 per hour.

1.11 Senior Research Engineer - Humanoid Manipulation

FieldAI

Boston, MA • On-site

$70K - $300K/yr

Full-time

Posted 4 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.
We are looking for a Research Engineer to join our growing humanoid manipulation efforts. In this role, you will work at the intersection of robotics research and applied engineering, building, testing, and refining manipulation capabilities that accelerate autonomous control and loco-manipulation on humanoid robots. You will collaborate closely with research scientists, engineers, and product partners to design novel manipulation strategies and deliver systems that directly feed into Field AI's robot learning pipelines.
You will also play a key role in advancing robotics foundation models designed to be embodiment agnostic, with an initial focus on humanoid platforms. This role is about pushing the frontier of manipulation research while ensuring that breakthroughs translate into practical, scalable autonomy in real-world environments.
What You'll Get To Do
  • Advance Humanoid Manipulation Research and Development
  • Design, implement, and evaluate manipulation strategies for humanoid robots across a wide range of tasks.
  • Drive projects from early concepts through on-robot testing and deployment.
  • Contribute to loco-manipulation capabilities that integrate perception, control, and planning.
  • Build Systems That Bridge Research and Deployment
  • Translate research ideas into reliable robotic systems that operate in real-world conditions.
  • Ensure systems are robust, reproducible, and aligned with data collection and learning objectives.
  • Develop experimental infrastructure to support rapid iteration and evaluation.
  • Collaborate Across Disciplines
  • Partner with mechanical and electrical engineers on hardware integration and system bring-up.
  • Work closely with teleoperators and field teams to refine interfaces and improve manipulation performance.
  • Act as a connective layer between autonomy research and applied robotics engineering.
  • Rapidly Iterate and Deliver
  • Prototype quickly, run experiments on hardware, and validate results in the field.
  • Balance exploratory research with concrete deliverables that support near-term goals.
  • Debug complex system-level issues spanning software, hardware, and learning.

What You Have
  • Bachelor's, Master's, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field.
  • 4+ years of hands-on experience in robotic manipulation in academic or industry settings.
  • Strong foundation in robot kinematics, dynamics, and control, with a focus on manipulation.
  • Proven experience implementing and evaluating robotic systems on real hardware.
  • Ability to work effectively in fast-paced, highly collaborative environments.
  • Curiosity, ownership, and the confidence to challenge assumptions and propose new approaches.

The Extras That Set You Apart
  • Experience working with humanoid robots or multi-fingered robotic hands.
  • Background in learning-based manipulation, including imitation learning or reinforcement learning.
  • Familiarity with teleoperation systems and human-in-the-loop data collection.
  • Publications or open-source contributions in top robotics venues.
  • Experience with large-scale robotics data collection and dataset management.
  • Strong interest in bridging cutting-edge research with field-ready robotic systems.

$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 Mission Viejo (Irvine adjacent), 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. 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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