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Phd Robotics Jobs in California (NOW HIRING)

Education: BS, MS, or PhD in Electrical Engineering, Mechanical Engineering, Computer Science, Robotics, or a related field, or self-taught with extensive hands-on experience * 3+ years of experience ...

Showing results 21-40

Phd Robotics information

See California salary details

$82.9K

$94.7K

$115K

How much do phd robotics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for phd robotics in California is $94,742.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $100,700.00 per year, depending on experience, location, and employer.

What is the difference between Phd Robotics vs Robotics Engineer?

AspectPhd RoboticsRobotics Engineer
Required CredentialsPhD in Robotics, Computer Science, or related fieldBachelor's or Master's in Robotics, Mechanical, Electrical Engineering
Work EnvironmentResearch labs, academia, advanced R&D projectsIndustry settings, manufacturing, product development
Employer & Industry UsageUniversities, research institutions, high-tech companiesTech companies, manufacturing firms, startups
Common Search & ComparisonAcademic research, specialized rolesPractical application, product design

While a Phd Robotics focuses on advanced research, theoretical development, and academic contributions, a Robotics Engineer applies practical skills to design, develop, and implement robotic systems in industry settings. Both roles require a background in robotics, but their career paths and work environments differ significantly.

Can I do a PhD in robotics?

A PhD in robotics is a research-focused doctoral degree that typically requires a master's degree in engineering, computer science, or a related field. It involves advanced coursework, original research, and skills in areas like programming, control systems, and machine learning, often taking 3-5 years to complete.

How much does a PhD in robotics earn?

A PhD in robotics typically earns between $80,000 and $130,000 annually, depending on experience, industry, and location. Robotics researchers and engineers with a doctorate often work in advanced technology sectors, research institutions, or academia, where higher salaries are common for specialized skills and expertise in programming, machine learning, and automation tools.

Is a PhD in robotics worth it?

A PhD in robotics prepares individuals for advanced research, development, and academic roles in the field, often requiring strong skills in programming, control systems, and machine learning. While it can lead to higher-level positions and specialized expertise, the investment in time and cost should be weighed against industry demand and career goals.

What cities in California are hiring for Phd Robotics jobs?

Cities in California with the most Phd Robotics job openings:

Infographic showing various Phd Robotics job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $94,742 per year, or $45.5 per hour.

Robotics Engineer, Humanoid System Integration

FieldAI

Irvine, CA • On-site

$80 - $110/hr

Other

Re-posted 12 days ago


Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk‑aware, reliable, field‑ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data‑driven approaches or pure transformer‑only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

The Robotics Engineer, Humanoid System Integration will own the integration of humanoid software and hardware subsystems into a cohesive robot stack that is testable, debuggable, and deployment‑ready. This role is responsible for bringing together perception, localization, planning, locomotion, manipulation, controls, sensors, compute, networking, diagnostics, and release workflows.

What You’ll Do
  • Integrate humanoid subsystems into a reliable full‑stack robot system running on physical hardware.
  • Define and maintain interfaces across autonomy, manipulation, locomotion, sensors, compute, controls, and field tools.
  • Own robot bring‑up, calibration, configuration, diagnostics, and validation workflows.
  • Debug system‑level issues across software, hardware, networking, timing, compute constraints, sensor data, and robot behavior.
  • Develop integration tests, regression tests, telemetry tools, dashboards, and release‑readiness checks.
  • Partner with manipulation, hardware, QA/QC, field application, and service teams to keep humanoid platforms continuously shippable.
  • Harden research or prototype capabilities into maintainable, testable, deployment‑ready modules.
What You Bring
  • MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field preferred; BS considered with a demonstrated track record of hands‑on robotics work across multiple physical systems — research projects, competition robotics, or internships with daily hardware exposure.
  • Background appropriate for a junior‑to‑mid engineer; fresh MS and PhD graduates welcome.
  • Strong hands‑on experience integrating robotic systems on real hardware — must include physical hardware; simulation‑only backgrounds will not be considered.
  • Strong C++ and Python skills in Linux‑based robotics environments.
  • Experience with ROS/ROS2, robot middleware, drivers, calibration, diagnostics, logging, and distributed systems.
  • Understanding of perception, planning, controls, locomotion, manipulation, sensor integration, and embedded compute constraints.
  • Ability to profile performance, isolate failures, define interfaces, and coordinate across multiple technical teams.
What Sets You Apart
  • You’ve integrated a humanoid or legged/mobile manipulation platform from bring‑up through field deployment — not just research or simulation.
  • You’ve owned the interfaces between locomotion, manipulation, and perception, and debugged failures across those seams on real hardware.
  • You’ve built the tooling that made other engineers faster: calibration pipelines, regression harnesses, telemetry dashboards, or release gates that prevented bad deploys.
  • You carry hard‑won instincts about what separates a demo‑ready system from a deployment‑ready one — and you’ve acted on that distinction.

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job‑related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?

In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real‑world use.

You will collaborate with a world‑class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution

We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field‑ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

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