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Robotics Manager Jobs (NOW HIRING)

Corvus Robotics

Robotics Technician

Mountain View, CA · On-site

$30 - $35/hr

We believe that data-driven, safe inventory management will optimize the global physical economy and improve economic prosperity for humanity. About this role We're looking for a skilled robotics ...

Prime Robotics

Robotics Technician - Denver

Denver, CO · On-site

$60K/yr

... Management System (WMS) familiarity Lithium battery maintenance experience Basic networking ... Prime Robotics participates in E-Verify. E-Verify is an Internet-based system that compares ...

Prime Robotics

Robotics Technician - Denver

Denver, CO · On-site

$60K/yr

... Management System (WMS) familiarity Lithium battery maintenance experience Basic networking ... Prime Robotics participates in E-Verify. E-Verify is an Internet-based system that compares ...

Prime Robotics

Robotics Technician - Denver

Denver, CO · On-site

$60K/yr

... Management System (WMS) familiarity Lithium battery maintenance experience Basic networking ... Prime Robotics participates in E-Verify. E-Verify is an Internet-based system that compares ...

Jaia Robotics, Inc.

Robotics Engineer-Software

Bristol, RI · On-site

$110 - $150/hr

As a Jaia Robotics employee there is almost unlimited scope to grow into a senior leadership or management role at a pace that would be unprecedented in a larger organization if that is a career path ...

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Robotics Manager information

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$23K

$61.4K

$102.5K

How much do robotics manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for robotics manager in the United States is $61,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $69,000.00 per year, depending on experience, location, and employer.

What does a robotics manager do?

A Robotics Manager oversees teams that design, build, and maintain robotic systems used in manufacturing, research, or other industries. They coordinate projects, manage budgets, and ensure that robotic solutions meet organizational needs. Their responsibilities also include troubleshooting technical issues, supervising engineers and technicians, and staying updated on the latest advancements in robotics. By bridging the gap between technical teams and management, they help streamline operations and drive innovation.

What are the key skills and qualifications needed to thrive as a robotics manager?

To thrive as a Robotics Manager, you need expertise in robotics engineering, project management, and a relevant degree in engineering or computer science. Familiarity with automation software, robotics programming languages (such as Python or ROS), and knowledge of safety and compliance standards is typically required. Strong leadership, problem-solving, and communication skills help you effectively guide multidisciplinary teams and manage complex projects. These competencies ensure successful development, deployment, and maintenance of robotic systems while fostering innovation and operational efficiency.

What are some common challenges a robotics manager faces when leading multidisciplinary teams?

Robotics Managers often oversee teams composed of engineers, software developers, and technicians, which can lead to challenges in aligning diverse skill sets and communication styles. Balancing project timelines with the need for innovation and rigorous testing is another common hurdle. Effective Robotics Managers foster collaboration by setting clear goals, facilitating cross-functional meetings, and ensuring open communication channels to keep everyone aligned and motivated.

What is the difference between Robotics Manager vs Robotics Engineer?

AspectRobotics ManagerRobotics Engineer
Required CredentialsBachelor's or Master's in Robotics, Engineering, or related field; management experienceBachelor's or Master's in Robotics, Mechanical, Electrical Engineering, or related field
Work EnvironmentOversees teams, manages projects, coordinates with departmentsDesigns, develops, tests robotic systems; works in labs or on-site
Employer & Industry UsageManufacturing, automation, research institutionsResearch labs, tech companies, manufacturing firms
Common Search & ComparisonLeadership, project management, team oversightTechnical development, system design, programming

The main difference between a Robotics Manager and a Robotics Engineer lies in their focus. Robotics Managers oversee teams and projects, ensuring goals are met, while Robotics Engineers focus on designing and developing robotic systems. Both roles require strong technical backgrounds, but the Manager emphasizes leadership and coordination, whereas the Engineer emphasizes technical expertise and innovation.

Is robotics a high paying career?

Robotics managers typically earn higher-than-average salaries due to their specialized skills in automation, programming, and systems integration. Salaries can vary based on experience, industry, and location, but the role generally offers competitive compensation within engineering and technology fields.
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Robotics Manager jobs near you
Infographic showing various Robotics Manager job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $61,351 per year, or $29.5 per hour.

Machine Learning Engineer - Robot Perception

Maven Robotics

San Francisco, CA

Full-time

Re-posted 20 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 Perception to design, implement, test, and deploy robot perception algorithms that power our robots' ability to understand and interact with the world.

In this role you will:

  • Develop, train, and deploy ML-based perception algorithms for object detection, pose estimation, tracking, and scene understanding.
  • Integrate sensor fusion techniques using cameras, depth sensors, IMUs, and tactile feedback.
  • Optimize real-time perception pipelines for low-latency and robust performance in dynamic environments.
  • Work closely with hardware engineers to design sensor configurations and optimize perception models for onboard deployment.
  • Contribute to our broader AI and autonomy stack, ensuring seamless integration with reasoning, manipulation, planning and control.
  • 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 background in computer vision, deep learning, and sensor fusion.
  • Proficiency in Python and C++, with experience in frameworks like PyTorch, TensorFlow, OpenCV, and ROS.
  • Hands-on experience with real-world robotics perception systems (e.g., SLAM, 3D reconstruction, multimodal perception).
  • Experience working with hardware, including setting up and calibrating cameras, LiDAR, and other sensors.
  • 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:
    • Developing models that can handle noisy, incomplete, or sparse data.
    • Deployment of ML models to edge devices for real-time inference (e.g., NVIDIA Jetson).
    • Accelerating ML training processes using GPU, TPU, or other HW accelerators.
    • General knowledge of robotics principles, including kinematics, dynamics, and control.

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