ZipRecruiter

Log In

1

Phd Robotics Jobs in San Ramon, CA (NOW HIRING)

Intuitive

Robotics Software Engineer

Sunnyvale, CA · On-site

Strong working knowledge of robotics algorithms, including forward kinematics * Excellent ... MS or PhD in computer science, mechanical engineering, or equivalent Working Conditions * None ...

Intuitive

Robotics Software Engineer

Sunnyvale, CA · On-site

Strong working knowledge of robotics algorithms, including forward kinematics * Excellent ... MS or PhD in computer science, mechanical engineering, or equivalent Working Conditions * None ...

Agility Robotics

Senior Robotics Mechanical Engineer

Fremont, CA · On-site +1

$164K - $213K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Senior Robotics Mechanical Engineer, you will be instrumental in bringing these future-facing ... BSME + 5 years relevant industry experience OR MSME +3 years relevant industry experience OR PhD ...

Altera

Robotics Solutions Architect

San Jose, CA

$73.75 - $97.25/hr

MS/PhD in Robotics, Electrical Engineering, Computer Engineering, Computer Science, or related field * 10+ years experience in robotics, AI systems, or solutions architecture * Strong expertise in ...

previous page

Showing results 41-60

All JobsPhd Robotics JobsPhd Robotics Jobs in San Ramon, CA

Phd Robotics information

See San Ramon, CA salary details

$93.9K

$107.3K

$130.2K

How much do phd robotics jobs pay per year?

As of Aug 18, 2026, the average yearly pay for phd robotics in San Ramon, CA is $107,281.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $114,000.00 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 near San Ramon, CA are hiring for Phd Robotics jobs?

Cities near San Ramon, CA with the most Phd Robotics job openings:

Phd Robotics jobs near you

Machine Learning Engineer - Robot Manipulation

Maven Robotics

San Francisco, CA • On-site

Full-time

Re-posted 16 days ago

Job description

Company Overview

Maven Robotics is building the world's leading general-purpose AI robots.

We are currently operating in stealth and are growing the world's best team in AI robotics. We are looking for self-starters that are the world's best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.

Role Description

We are looking to recruit an exceptional Machine Learning Engineer - Robot Manipulation to design, implement, test, and deploy robot manipulation algorithms that enable assembly and material movement tasks.

In this role you will:

  • Design and implement machine learning algorithms, with a focus on reinforcement learning (RL) and imitation learning (IL), to enable robotic manipulators to perform complex tasks in dynamic environments.
  • Translate high-level objectives into machine learning problems and deploy robust, scalable models to real-world robotic systems.
  • Integrate your ML solutions into existing robotics workflows, ensuring that models are performant in both simulated and real-world settings.
  • Drive innovation by incorporating the latest research in machine learning into practical applications that push the boundaries of robotic manipulation.
  • Take ownership of critical ML projects, seeing them through from conception to successful deployment.
  • Collaborate across disciplines to ensure seamless integration of ML models and provide technical mentorship to junior engineers.
Qualifications

Must-have:

  • MS or PhD in machine learning, computer science, robotics, or a related field.
  • Strong practical experience in training and deploying machine learning models for real-world applications.
  • Deep understanding of reinforcement learning (RL) and imitation learning (IL) and their application to robotics.
  • Proficiency in programming languages and tools commonly used in machine learning (e.g., Python, PyTorch).
  • Experience with data collection, preprocessing, and management in the context of training ML models.
  • Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
  • Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

Nice-to-have:

  • Familiarity with robotic simulation environments (e.g., Gazebo, MuJoCo) and experience in sim-to-real transfer.
  • Experience in:
    • Designing and implementing reward functions for complex manipulation tasks.
    • Developing models that can handle noisy, incomplete, or sparse data.
    • Deployment of ML models to edge devices for real-time inference.
    • Accelerating ML training processes using GPU, TPU, or other HW accelerators.
    • Using reinforcement learning frameworks, e.g. Stable Baselines, RLlib, or similar.
  • General knowledge of robotics principles, including kinematics, dynamics, and control.
  • Publications or contributions to the machine learning community, particularly in areas related to robotics or reinforcement learning.

Apply