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Tesla Research And Development Jobs (NOW HIRING)

Formlabs

R&D Reliability/Test Engineer

Somerville, MA · On-site

$111K - $140K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping creators design, prototype, and ... If so, join our small and agile R&D Reliability Engineering Team. What You'll Do: * Develop ...

Formlabs

R&D Reliability/Test Engineer

Boston, MA

$111K - $140K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping creators design, prototype, and ... If so, join our small and agile R&D Reliability Engineering Team. What You'll Do: * Develop ...

Formlabs

R&D Reliability/Test Engineer

Somerville, MA

$111K - $140K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping creators design, prototype, and ... If so, join our small and agile R&D Reliability Engineering Team. What You'll Do: * Develop ...

Formlabs

R&D Reliability/Test Engineer

Boston, MA · On-site

$111K - $140K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping creators design, prototype, and ... If so, join our small and agile R&D Reliability Engineering Team. What You'll Do: * Develop ...

Formlabs

Senior Product Design Engineer

Somerville, MA · On-site

$120K - $175K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Join a dynamic R&D team, comprising top-tier mechatronics, software and systems engineers. We're a ...

Formlabs

Senior Product Design Engineer

Boston, MA · On-site

$120K - $175K/yr

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Join a dynamic R&D team, comprising top-tier mechatronics, software and systems engineers. We're a ...

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All JobsTesla Research And Development Jobs

Tesla Research And Development information

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$20K

$96.6K

$151K

How much do tesla research and development jobs pay per year?

As of Jun 14, 2026, the average yearly pay for tesla research and development in the United States is $96,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $117,000.00 per year, depending on experience, location, and employer.

How much does a Tesla R&D machinist make?

A Tesla R&D machinist typically earns between $50,000 and $70,000 annually, depending on experience and location. The role involves operating precision machining tools and may require knowledge of CAD/CAM software and safety protocols.

Is it difficult to get hired at Tesla?

Getting hired for a research and development role at Tesla can be competitive due to the company's high standards and innovative environment. Candidates typically need relevant technical skills, a strong educational background, and experience in areas like engineering, software development, or design. The hiring process often involves multiple interviews and assessments to evaluate technical expertise and problem-solving abilities.

What is the highest paying job at Tesla?

The highest paying roles at Tesla are typically executive positions such as Chief Executive Officer (CEO), Chief Financial Officer (CFO), and Vice Presidents, which can offer compensation packages including high base salaries, bonuses, and stock options. Senior engineering and specialized technical roles, like Lead Battery Engineer or Head of Autopilot Software, can also command high salaries due to their expertise and impact on the company's products. Compensation varies based on experience, responsibilities, and performance.

What are some common challenges faced by professionals working in Tesla's Research and Development team?

Professionals in Tesla's Research and Development (R&D) team often encounter challenges such as fast-paced project timelines, rapidly evolving technology, and the need for constant innovation. The work environment is highly collaborative, requiring frequent cross-functional teamwork with engineering, manufacturing, and software departments. Adapting to shifting priorities and solving complex, real-world problems under tight deadlines are typical aspects of the role. However, these challenges also offer significant opportunities for professional growth and the chance to contribute to groundbreaking advancements in sustainable technology.

What is Tesla Research and Development?

Tesla Research and Development (R&D) refers to the division within Tesla, Inc. that focuses on innovating and advancing new technologies for electric vehicles, energy storage, and sustainable energy products. The R&D team works on developing new battery technologies, improving vehicle performance, enhancing software capabilities, and exploring new manufacturing methods. Their efforts are crucial for maintaining Tesla's position at the forefront of the electric vehicle and renewable energy industries. Tesla's R&D activities span multiple locations globally and often involve collaborations with other technology and research organizations.

What are the key skills and qualifications needed to thrive in Tesla Research and Development, and why are they important?

To thrive in Tesla Research and Development, you need a solid background in engineering, physics, or computer science, often supported by advanced degrees and relevant industry experience. Familiarity with CAD software, simulation tools, programming languages such as Python or C++, and certifications in project management or specialized technical areas are typically valuable. Creative problem-solving, strong teamwork, and effective communication distinguish top performers in this innovative environment. These skills and qualifications are crucial for driving breakthrough solutions and maintaining Tesla's competitive edge in rapidly evolving technology sectors.

What is the difference between Tesla Research And Development vs Tesla Mechanical Engineer?

AspectTesla Research And DevelopmentTesla Mechanical Engineer
Required CredentialsBachelor's or Master's in Engineering, Physics, or related fieldsBachelor's or Master's in Mechanical Engineering or related disciplines
Work EnvironmentInnovative labs, R&D centers, collaborative teamsDesign, testing, manufacturing facilities, on-site labs
Industry UsageFocuses on developing new technologies and productsFocuses on designing and improving mechanical systems
Common Search/ComparisonYesNo

Tesla Research And Development roles involve developing new technologies and products, requiring advanced degrees and innovative work environments. Tesla Mechanical Engineers focus on designing and improving mechanical systems, often working in manufacturing and testing settings. While both roles require engineering credentials, their focus areas and daily tasks differ significantly.

Why are employees leaving Tesla?

Employees in Tesla's research and development roles may leave due to factors such as high workload, rapid company growth, or seeking new opportunities. Turnover can also be influenced by job satisfaction, work environment, and career advancement prospects within the company.
More about Tesla Research And Development jobs
What cities are hiring for Tesla Research And Development jobs? Cities with the most Tesla Research And Development job openings:
What states have the most Tesla Research And Development jobs? States with the most job openings for Tesla Research And Development jobs include:
What job categories do people searching Tesla Research And Development jobs look for? The top searched job categories for Tesla Research And Development jobs are:
Tesla Research And Development jobs near you
Infographic showing various Tesla Research And Development job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 19% Full Time, 61% Part Time, and 17% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $96,571 per year, or $46.4 per hour.

1.11 Senior Research Engineer - Humanoid Manipulation

FieldAI

Boston, MA • On-site

$70K - $300K/yr

Full-time

Posted 7 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 Modelsâ„¢ 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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