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Robotic Scientist Jobs (NOW HIRING)

Lila Sciences

Scientist I / II, Robotics

Cambridge, MA · On-site

You'll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling ...

BotBuilt

Robotics Scientist

Durham, NC · On-site

$120K - $150K/yr

Your qualifications We seek a robotics scientist with 8 years of experience or a Ph.D. in Robotics. - Experience with SLAM, Computer Vision, Motion Planning, or Diffusion Policies. - Proficiency with ...

Lila Sciences

Scientist I / II, Robotics

Cambridge, MA · On-site

$176K - $304K/yr

You'll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling ...

Amazon

Applied Scientist II

Sunnyvale, CA · On-site

We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control ... We are seeking a talented Applied Scientist to join our advanced robotics team, focusing on ...

Amazon

Applied Scientist II

Sunnyvale, CA · On-site

We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control ... We are seeking a talented Applied Scientist to join our advanced robotics team, focusing on ...

Amazon

Applied Scientist II

Sunnyvale, CA · On-site

We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control ... We are seeking a talented Applied Scientist to join our advanced robotics team, focusing on ...

Meta

AI Research Scientist, Robotics

Menlo Park, CA

$184K/yr

Meta is seeking a Research Scientist to join Meta Superintelligence Labs. Individuals in this role ... robotic control, manipulation, navigation, or generally embodied AI * Must obtain work ...

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Robotic Scientist information

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How much do robotic scientist jobs pay per year?

As of Jun 19, 2026, the average yearly pay for robotic scientist in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Robotic Scientist vs Robotics Engineer?

AspectRobotic ScientistRobotics Engineer
Required CredentialsMaster's or PhD in Robotics, Computer Science, or related fieldsBachelor's or Master's in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentResearch labs, universities, R&D departmentsManufacturing facilities, tech companies, product development
Employer & Industry UsageAcademic institutions, research organizations, tech companiesIndustrial firms, automation companies, startups
Common Search & Comparison IntentUnderstanding research roles, academic careersDesigning, building, and deploying robotic systems

Robotic Scientists focus on research, developing new algorithms and theories in robotics, often working in labs or academia. Robotics Engineers apply these principles to design, build, and implement robotic systems in real-world settings. While both roles require technical expertise, their work environments and primary objectives differ significantly.

Who are the big 4 in robotics?

The 'Big 4' in robotics typically refers to Boston Dynamics, ABB, Fanuc, and KUKA, which are leading companies known for their advanced industrial and service robots. Robotics professionals often work with these companies' technologies, requiring skills in automation, programming, and systems integration.

What are the key skills and qualifications needed to thrive as a Robotic Scientist, and why are they important?

To thrive as a Robotic Scientist, you need a strong background in robotics, computer science, and engineering, typically supported by an advanced degree in a related field. Familiarity with programming languages like Python or C++, robotics simulation tools (e.g., ROS), and machine learning frameworks is essential. Creative problem-solving, collaboration, and effective communication help drive innovative solutions and teamwork in multidisciplinary environments. These skills and qualities are crucial for advancing robotic systems that solve complex real-world challenges.

What engineers make $300,000 a year?

Senior robotic scientists and engineers with extensive experience, advanced degrees, and specialized skills in areas like AI, machine learning, and automation can earn $300,000 or more annually. These roles often require leadership responsibilities, working in high-tech industries such as aerospace, defense, or advanced manufacturing, and may include bonuses or stock options.

How much does a robotic scientist make?

Robotic scientists typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Advanced skills in robotics, programming, and research contribute to higher compensation in this specialized field.

What are some common challenges faced by Robotic Scientists during the development and testing phases of new robots?

Robotic Scientists often encounter challenges such as integrating hardware and software seamlessly, ensuring reliable sensor data processing, and troubleshooting unexpected behavior during robot testing. Balancing the robot's autonomy with safety and ethical considerations is also a significant part of the job. Effective collaboration with multidisciplinary teams, including mechanical engineers and software developers, is crucial to overcome these obstacles and deliver robust robotic solutions.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, or aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in large tech companies or energy firms.

What does a Robotic Scientist do?

A Robotic Scientist researches, designs, develops, and tests robotic systems and technologies. Their work involves combining principles from mechanical engineering, electrical engineering, and computer science to create robots that can perform tasks autonomously or assist humans. Robotic Scientists may work in industries such as manufacturing, healthcare, aerospace, or consumer electronics, often focusing on improving robot efficiency, safety, and intelligence. They also analyze data from robotic systems and contribute to innovations in artificial intelligence and machine learning as applied to robotics.
More about Robotic Scientist jobs
What job categories do people searching Robotic Scientist jobs look for? The top searched job categories for Robotic Scientist jobs are:
Robotic Scientist jobs near you
Infographic showing various Robotic Scientist job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 90% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Research Scientist, Dexterous Manipulation & Robot Learning

Lila Sciences

Cambridge, MA • On-site

Other

Posted 28 days ago

Job description

Your Impact at LILA

As a Robotics Scientist at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You'll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering.

What You'll Be Building

  • Pioneering approaches for precise and dexterous robotic manipulation that leverage foundation models, reinforcement learning, diffusion-based methods, and human guidance to enable adaptive and intelligent robotic systems capable of complex tasks across diverse scientific environments
  • Developing novel human-robot interaction frameworks that incorporate imitation learning, and learning from human guidance, feedback, demonstrations and corrections, creating intelligent robotic agents that can seamlessly integrate with human scientific workflows and rapidly adapt to new experimental contexts
  • Advancing dexterous manipulation research through cutting-edge machine learning approaches, including diffusion models and adaptive learning algorithms, that synthesize multi-modal sensing (tactile, visual, and language) to develop generative skill representation sand sophisticated motor learning policies for intelligent robotic systems
  • Designing autonomous robotic systems with trust calibration mechanisms, enabling intelligent agents that can dynamically adjust their behaviors based on contextual information in complex scientific tasks

What You'll Need to Succeed

  • Ph.D. in Robotics, Machine Learning, Computer Science, or a related field with demonstrated expertise in foundation models for robotic learning
  • Advanced proficiency in reinforcement learning, diffusion-based methods, imitation learning, and adaptive learning algorithms for robotic manipulation
  • Expert-level experience with machine learning frameworks (PyTorch, TensorFlow) and deep learning architectures for developing foundation models, with specific expertise in diffusion-based generative models for robotics
  • Proven track record of developing multi-modal perception systems integrating tactile, visual, language and other contextual sensing for intelligent robotic agents
  • Strong publication record in robot learning, demonstrating innovative approaches to trust calibration, contextual learning, and generative robotic skill learning

Bonus Points For

  • Research contributions to foundation models and diffusion methods in robotics
  • Experience with large-scale machine learning model development, particularly generative and diffusion-based approaches
  • Expertise in human-in-the-loop learning, correction-based training paradigms, and diffusion-guided skill transfer
  • Demonstrated ability to translate theoretical machine learning research, especially diffusion and generative models, into practical robotic implementations

Apply