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Phd Robotics Jobs in California (NOW HIRING)

Relativity Space

Robotics Engineer II

Long Beach, CA

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 ...

Dexmate

Robot learning engineer

Santa Clara, CA · On-site

Required : • PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related field; OR Master's degree with 1+ years industry experience; OR Bachelor's degree with 3+ ...

Relativity Space

Robotics Engineer II

Long Beach, CA

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 ...

Relativity Space

Robotics Engineer II

Long Beach, CA · On-site

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 ...

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Showing results 21-40

All JobsPhd Robotics JobsPhd Robotics Jobs in California

Phd Robotics information

See California salary details

$82.9K

$94.7K

$115K

How much do phd robotics jobs pay per year?

As of Aug 17, 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 make?

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 research, development, or academia, where higher salaries are common for specialized skills in automation, machine learning, and control systems.

What is the highest paid job in robotics?

The highest paid jobs in robotics are often senior roles such as robotics engineering managers, research directors, or chief robotics officers, typically earning six-figure salaries. These positions require advanced technical skills, leadership experience, and often a PhD in robotics or related fields, along with expertise in AI, machine learning, and automation systems.

What cities in California are hiring for Phd Robotics jobs?

Cities in California with the most Phd Robotics job openings:

Phd Robotics jobs near you
Infographic showing various Phd Robotics job openings in California as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, 2% Temporary, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $94,742 per year, or $45.5 per hour.

Manager, Robot Diagnostics & Analysis

Agility Robotics

Fremont, CA • On-site, Remote

$185K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About the Role
We are seeking a Manager, Robot Diagnostics & Analysis to lead and scale a high-impact organization responsible for engineering issue triage, technical investigations, root cause analysis, fault attribution, and engineering analytics across the humanoid robot platform.
This role owns the strategy, execution, and evolution of the organization's diagnostic and investigation capabilities. You will lead a team of triage & root cause analysis engineers establishing the frameworks, processes, and technical rigor required to rapidly diagnose complex robot failures spanning hardware, software and firmware, improve organizational learning, and accelerate engineering resolution.
The ideal candidate combines strong technical depth in engineering, debugging, and root cause analysis with proven leadership experience, enabling them to set vision, drive execution, and build a high-performing team that delivers timely, data-driven understanding of complex robot issues.
About the Work
Organizational Leadership & Strategy
  • Build, lead, and develop a high-performing diagnostics and analysis team.
  • Define the vision, strategy, and operating model for engineering diagnostics across the robot platform.
  • Establish scalable processes, investigation frameworks, and team capabilities.
  • Mentor engineers and foster a culture of technical rigor, accountability, and continuous improvement.
Engineering Diagnostics, Investigation & Analysis
  • Lead investigation of complex robot failures across hardware, software, controls, manufacturing, and system integration.
  • Drive issue triage, fault isolation, root cause analysis, and ownership attribution.
  • Develop diagnostic tools, workflows, dashboards, and analytics that improve investigation effectiveness.
  • Identify systemic risks, recurring failure modes, and product improvement opportunities through data-driven analysis.
Cross-Functional Influence & Operational Excellence
  • Partner with engineering, manufacturing, reliability, quality, and field teams to drive efficient issue resolution.
  • Communicate investigation findings and recommendations to technical and executive stakeholders.
  • Establish scalable tools, knowledge management systems, and observability frameworks that improve organizational effectiveness.
  • Lead prioritization and execution across multiple programs aligned with product and business objectives.

About You
Experience
  • 8+ years of experience in systems engineering, diagnostics, integration, test, reliability, software, controls, or related engineering disciplines supporting complex electromechanical systems.
  • 3+ years of experience leading and managing engineering teams, including senior and staff-level engineers.
  • Experience in robotics, autonomous vehicles, aerospace, industrial automation, or similar high-complexity hardware and software systems.
  • Proven track record of leading complex technical investigations and root cause analysis efforts across multidisciplinary engineering organizations.
Technical Expertise
  • Strong expertise in system-level debugging, root cause analysis, fault isolation, and technical investigations across complex robotic and electromechanical systems.
  • Experience with telemetry, observability, logging, and engineering analytics tools used to diagnose and resolve system issues.
  • Proven ability to build and lead high-performing engineering teams while scaling processes and operational rigor.
  • Excellent systems thinking, analytical problem-solving, and cross-functional leadership skills.
  • Effective communicator capable of influencing technical and executive stakeholders.
  • Ability to balance technical depth with strategic leadership in fast-paced, ambiguous environments.
Education
  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Systems Engineering, Robotics, or a related field (Master's or PhD preferred).

Location
  • This a hybrid position based out of our Fremont office.:

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.
Anticipated Salary Range
$185,000-$240,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

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