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Tesla Artificial Intelligence Jobs (NOW HIRING)

Otter.ai

Senior Machine Learning Engineer

Mountain View, CA · On-site

$123K - $169K/yr

Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

FieldAI

Software Engineer, DevOps

Irvine, CA

$115K - $170K/yr

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

FieldAI

Senior Product Manager, Construction

Irvine, CA · On-site

$180K - $220K/yr

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Otter.ai

Senior Machine Learning Engineer

Mountain View, CA

$123K - $169K/yr

Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

FieldAI

Software Engineer, Product

Irvine, CA

... Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

FieldAI

Software Engineer, DevOps

Irvine, CA · On-site

$115K - $170K/yr

... Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

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How much do tesla artificial intelligence jobs pay per year?

As of Aug 6, 2026, the average yearly pay for tesla artificial intelligence in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the typical projects and daily responsibilities for someone in a Tesla Artificial Intelligence role?

At Tesla, professionals in Artificial Intelligence roles work on projects that advance autonomous driving, robotic automation, and intelligent energy management systems. Daily responsibilities often include designing and training machine learning models, analyzing large data sets captured from Tesla vehicles, collaborating with multidisciplinary engineering teams, and optimizing AI algorithms for deployment in real-world scenarios. You can expect to participate in code reviews, contribute to scalable system design, and work closely with hardware teams to ensure seamless integration of AI solutions. This dynamic environment offers the chance to contribute to high-impact products and to grow your expertise in a rapidly evolving field.

What is a Tesla Artificial Intelligence?

A Tesla Artificial Intelligence job involves working on cutting-edge AI technologies to advance Tesla's autonomous driving, robotics, and energy solutions. Roles in AI at Tesla range from neural network research and machine learning engineering to software development and data analysis. Employees in this field contribute to the development of Full Self-Driving (FSD), Optimus humanoid robots, and AI-driven manufacturing. Strong programming skills, experience with deep learning, and a passion for innovation are essential for these roles.

What are the key skills and qualifications needed to thrive in the Tesla Artificial Intelligence position, and why are they important?

To thrive in a Tesla Artificial Intelligence role, a deep understanding of machine learning, neural networks, computer vision, and software engineering—supported by a relevant degree and hands-on project experience—is essential. Familiarity with tools such as Python, TensorFlow or PyTorch, and large-scale data processing frameworks, along with experience deploying AI models in production environments, are highly valuable. Strong problem-solving skills, innovative thinking, and effective teamwork enable professionals to excel in Tesla's fast-paced and collaborative setting. These competencies are vital for developing cutting-edge AI systems that directly impact Tesla’s products and mission.

More about Tesla Artificial Intelligence jobs
What are the most commonly searched types of Tesla Artificial Intelligence jobs? The most popular types of Tesla Artificial Intelligence jobs are:
What states have the most Tesla Artificial Intelligence jobs? States with the most job openings for Tesla Artificial Intelligence jobs include:
What job categories do people searching Tesla Artificial Intelligence jobs look for? The top searched job categories for Tesla Artificial Intelligence jobs are:
Tesla Artificial Intelligence jobs near you
Infographic showing various Tesla Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Senior Engineering Manager, Robotics and Humanoid Research

FieldAI

Boston, MA • On-site

$70K - $300K/yr

Full-time

Re-posted 23 hours 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 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 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 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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