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Phd In Robotics Salary Jobs (NOW HIRING)

Motion Recruitment

Senior Robotics Engineer

Waltham, MA · On-site

... or PhD in Robotics, Mechanical Engineering, Computer Science, or related field · Experience with industrial automation or mechatronic systems beyond traditional robotic arms · Experience with ...

Persona AI

Robotics Simulation Engineer

Pensacola, FL · On-site

We're Looking For: * BS, MS, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field. * 3+ years of professional experience in robotics simulation, digital twin development ...

General Robotics

Robotics Engineer

Redmond, WA · On-site

$155K - $205K/yr

About General Robotics General Robotics is building the future of general robot intelligence. Our ... In addition to base salary, this role is eligible for benefits including medical, 401K and other ...

Graphon.AI

ML Infrastructure Engineer

San Francisco, CA · On-site

$180K - $250K/yr

PhD in Robotics and ML. * Clark Zhang, CTO: ex-Meta; PhD in Robotics and ML. * Deepak Mishra, COO: ... Base salary range: $180,000 - $250,000 (depending on experience and level) * Meaningful equity with ...

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How much do phd in robotics salary jobs pay per year?

As of Jul 11, 2026, the average yearly pay for phd in robotics salary in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What can I do with a PhD in robotics?

A PhD in robotics prepares individuals for advanced research, development, and engineering roles in industries such as automation, aerospace, manufacturing, and healthcare. Graduates often work as robotics researchers, systems engineers, or data scientists, utilizing skills in programming, control systems, and machine learning. They may also pursue academic positions or lead innovation projects in robotics companies.

What is the average salary for someone with a PhD in Robotics?

The average salary for individuals with a PhD in Robotics varies depending on the industry, location, and level of experience. In the United States, salaries typically range from $90,000 to $150,000 per year, with higher salaries often found in sectors like technology, manufacturing, and academia. Senior roles in research and development or at leading tech companies may offer even higher compensation. Factors such as geographic location, specific expertise, and employer type can significantly influence the salary range.

What are the key skills and qualifications needed to thrive as a Robotics Engineer with a PhD, and why are they important?

To excel as a Robotics Engineer with a PhD, you need advanced knowledge in robotics, control systems, artificial intelligence, and a strong academic background typically demonstrated by a doctorate in robotics, computer science, or a related field. Expertise in programming languages (such as Python, C++), simulation tools (like ROS or MATLAB), and experience with hardware prototyping are commonly required technical skills. Exceptional problem-solving, innovation, and teamwork abilities distinguish top performers in this role. These competencies enable the design and implementation of cutting-edge robotic systems, driving progress in research and industry applications.

How much do PhD in robotics make?

PhD holders in robotics typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Advanced degrees often lead to higher salaries in research, development, or academia roles, especially when combined with specialized skills in programming, machine learning, or hardware design.

Which PhD gives the highest salary?

Among PhD fields, those in engineering, computer science, and robotics tend to have the highest salaries due to high demand for technical expertise and specialized skills. Robotics PhDs with expertise in AI, machine learning, and automation often command top salaries in industry roles such as research scientist or engineering director.

What is the difference between Phd In Robotics Salary vs Robotics Engineer Salary?

AspectPhd In Robotics SalaryRobotics Engineer Salary
Required CredentialsPhD in Robotics or related fieldBachelor's or Master's in Robotics, Engineering, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustrial settings, manufacturing, tech companies
Industry UsageResearch, academia, specialized R&D rolesProduct development, system design, implementation

Typically, individuals with a PhD in Robotics earn higher salaries due to advanced expertise and research experience, often working in research or academic roles. Robotics Engineers usually have a bachelor's or master's degree and focus on practical application and system development, resulting in slightly lower average salaries but broader industry opportunities.

What engineers make $500,000?

Engineers in specialized fields such as software engineering, data science, or aerospace engineering can reach salaries of $500,000 or more, often through a combination of base pay, bonuses, and stock options. High-level roles in technology companies, especially in leadership or with significant experience, are more likely to achieve this compensation level.

What career advancement opportunities are available for professionals with a PhD in Robotics?

Professionals holding a PhD in Robotics often have access to a wide range of career advancement opportunities in both academia and industry. In academia, they can pursue tenure-track faculty positions or lead research labs. In industry, they are well-positioned for senior research scientist, robotics engineer, or leadership roles such as R&D manager or chief technology officer. Additionally, PhD holders may advance by publishing influential research, securing patents, or transitioning into entrepreneurial ventures, such as founding robotics startups.
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Phd In Robotics Salary jobs near you
Infographic showing various Phd In Robotics Salary job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.
Advanced Robotic Systems Lead

Advanced Robotic Systems Lead

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 2 days ago

New

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

Mission
The Advanced Robotic Systems Lead drives the strategic development and deployment of next-generation robotic technologies-such as humanoids, intelligent AMRs, and multi-mobile robotic ecosystems-to enhance operational excellence, product quality, and workplace safety across industrial environments. The role ensures that robotics becomes a competitive advantage, accelerating the company's transition toward Industry 5.0.
Core Leadership Responsibilities:
  • Technology Vision & Roadmap
    Define and steer the company's robotics innovation strategy, identifying disruptive solutions (AI-enabled robotics, advanced vision systems, intelligent sensing) and translating them into scalable industrial applications.
  • End-to-End Program Leadership
    Oversee the full lifecycle of advanced robotics initiatives-from concept and simulation to industrial deployment-ensuring alignment with business priorities and maximizing ROI.
  • Operational Performance & Productivity
    Guarantee performance excellence of robotic systems, leveraging KPI-driven governance (efficiency, cycle time, system uptime) to improve throughput and reduce operational losses.
  • Regulatory Compliance & Safety Governance
    Ensure all robotic applications comply with international safety standards (e.g., ISO 10218, Machinery Directive), establishing a robust risk-management and safety framework.
  • High-Performing Team Leadership
    Build, mentor, and empower a multidisciplinary technical organization (robotics engineers, automation experts, PLC/robot programmers), fostering a culture of innovation and continuous improvement.
  • Digital Integration & Industry 5.0 Enablement
    Guide the convergence of robotics with enterprise IT/OT architectures, enabling data-driven operations, autonomous decision-making, and collaborative human-robot work environments.

Executive Competencies:
  • Strategic Foresight: Ability to detect emerging trends in robotics and translate them into competitive advantage.
  • Innovation Leadership: Proven track record in introducing frontier technologies into complex industrial settings.
  • Cross-Functional Influence: Skilled in aligning engineering, operations, IT, and safety organizations toward shared transformation goals.
  • Decision-Making Under Complexity: Comfortable managing high-impact, multi-site, technology-intensive programs.
  • Change Management: Ability to lead organizational transformation linked to automation and advanced robotics adoption.

Basic Qualifications:
  • Bachelor's degree in Robotics, Mechanical Engineering, Electrical Engineering, Mechatronics, or related engineering field
  • Minimum 8 years of experience in robotics, automation, or advanced manufacturing systems (automotive or industrial environment preferred)
  • Experience leading a team and managing direct employees.

Preferred Qualifications:
  • Master's or PhD in Robotics, Automation, Artificial Intelligence, or related field
  • Knowledge of automotive manufacturing processes and plant operations
  • Experience in:
    • Vision systems and perception (AI/ML applied to robotics)
    • Human-robot collaboration (cobotics)
    • Experience with robot simulation, digital twins, or virtual commissioning tools

Key Skills:
  • Strong ability to translate innovation into deployable industrial solutions
  • Expertise in end-to-end project lifecycle (concept → pilot → industrialization → deployment)
  • Leadership & stakeholder management across engineering, manufacturing, and suppliers
  • Advanced analytical, synthesis, and problem-solving capabilities
  • Agile mindset with experience in fast-paced innovation environments
  • Familiarity with Functional Safety (ISO 10218 / ISO 13849 / ISO 26262)
  • Fluent English

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