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Robotics Analyst Jobs in Seattle, WA (NOW HIRING)

General Robotics

Robotics Engineer

Redmond, WA · On-site

$155K - $205K/yr

Design, execute, and analyze experiments with rigorous, well-defined hypotheses. * Data Engineering: Design data collection routines to acquire high-quality data from field tests for model fine ...

TSMG

Robot Teleoperator (AI & Robotics)

Seattle, WA

... robotics and AI programs. In this role, you will remotely operate and supervise robotic systems ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

Robot Teleoperator (AI & Robotics)

Seattle, WA · On-site

... robotics and AI programs. In this role, you will remotely operate and supervise robotic systems ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Team Red Dog

AI Robotics Engineer

Redmond, WA · On-site

Analyze, prepare, and refine training datasets for robotics and embodied AI applications. * Develop deployment tools that rapidly transition new algorithms from simulation to robotic hardware.

Team Red Dog

AI Robotics Engineer

Redmond, WA

Analyze, prepare, and refine training datasets for robotics and embodied AI applications. * Develop deployment tools that rapidly transition new algorithms from simulation to robotic hardware.

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All JobsRobotics Analyst JobsRobotics Analyst Jobs in Seattle, WA

Robotics Analyst information

See Seattle, WA salary details

$6

$34

$55

How much do robotics analyst jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for robotics analyst in Seattle, WA is $34.71, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $41.20 per hour, depending on experience, location, and employer.

What are Robotics Analysts?

Robotics Analysts are professionals who study, evaluate, and optimize robotics systems and technologies. They analyze data from robotic operations, provide insights to improve efficiency, and help design solutions for integrating robotics into various industries. Their role often involves troubleshooting, system performance monitoring, and recommending upgrades or new technologies. Robotics Analysts frequently collaborate with engineers, programmers, and project managers to ensure robotics systems meet organizational goals.

What are some common challenges faced by Robotics Analysts when integrating new robotic systems into existing workflows?

Robotics Analysts often encounter challenges such as ensuring compatibility between new robotic systems and legacy equipment, managing data integration, and minimizing workflow disruptions during implementation. They must also address staff training needs and troubleshoot unexpected technical issues that arise during deployment. Proactive communication with cross-functional teams and thorough testing are key strategies for overcoming these challenges and ensuring a smooth integration process.

What is the difference between Robotics Analyst vs Robotics Engineer?

AspectRobotics AnalystRobotics Engineer
Required CredentialsBachelor's in Robotics, Engineering, or related field; certifications in robotics or automationBachelor's or Master's in Robotics, Mechanical, Electrical Engineering; certifications in robotics design and programming
Work EnvironmentData analysis, system evaluation, troubleshooting in labs or office settingsDesign, develop, and test robotic systems in labs or manufacturing facilities
Employer & Industry UsageTech companies, manufacturing, research institutionsManufacturing, automation, aerospace, research and development

Robotics Analysts focus on evaluating robotic systems, analyzing data, and optimizing automation processes. Robotics Engineers are involved in designing, building, and testing robotic systems. While both roles require technical skills and certifications, Analysts primarily work on system evaluation, whereas Engineers develop new robotic solutions.

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

To thrive as a Robotics Analyst, you need strong analytical skills, programming proficiency (often in Python, C++, or ROS), and a background in robotics, engineering, or computer science. Familiarity with robotics simulation tools (like Gazebo or MATLAB), data analysis platforms, and certifications in robotics or automation technologies are highly valuable. Excellent problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for optimizing robotic systems, ensuring efficient automation processes, and driving innovation in robotics applications.
What are popular job titles related to Robotics Analyst jobs in Seattle, WA? For Robotics Analyst jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Robotics Analyst jobs in Seattle, WA look for? The top searched job categories for Robotics Analyst jobs in Seattle, WA are:
Robotics Analyst jobs near you
Infographic showing various Robotics Analyst job openings in Seattle, WA as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $72,191 per year, or $34.7 per hour.

Robotics Engineer

General Robotics

Redmond, WA • On-site

$155K - $205K/yr

Full-time

Medical, Retirement

Re-posted 19 days ago

Job description

About General Robotics
General Robotics is building the future of general robot intelligence. Our mission is to enable the rapid, robust, and safe deployment of general intelligence for autonomous systems and robotics. Our core platform, GRID, provides a comprehensive library of robot skills through a fast, cloud-native runtime designed to make any robot intelligent-including aerial, wheeled, humanoid, quadruped, and robotic arms.
We are seeking Robotics Engineersto join our team to integrate our technology onto physical hardware and lead customer deployments. This role offers a front-row seat to the transformative impact of Physical AI and the opportunity to collaborate with a world-class team of AI and robotics pioneers.
Responsibilities
  • System Integration: Independently set up robots for real-world deployments, including integrated edge compute and sensor suites.
  • Model Deployment: Deploy state-of-the-art AI models and techniques on physical hardware; lead field deployment and evaluation efforts.
  • Experimental Design: Design, execute, and analyze experiments with rigorous, well-defined hypotheses.
  • Data Engineering: Design data collection routines to acquire high-quality data from field tests for model fine-tuning.
  • Technical Literacy: Maintain a deep understanding of model architectures and their effects on real-world performance, specifically regarding computer vision and machine learning from a robotics perspective.
  • Systems Optimization: Account for common systems constraints-such as bandwidth, compute, and latency-when making modeling choices. Identify and implement optimization opportunities to improve performance on edge compute devices.
  • Cross-functional Collaboration: Work closely with AI and Simulation Engineers to transition new techniques to the field; communicate critical insights and metrics from real-world testing.
  • Platform Growth: Translate field-tested patterns and learnings into scalable, streamlined capabilities within the GRID platform.

Minimum Requirements
  • Master's degree (completed or in progress) in Robotics, Computer Science, or a related technical field, or equivalent practical experience.
  • Current and ongoing work authorization in the country of employment.
  • 2+ years of experience in the development and implementation of robotics, machine learning, or control algorithms.
  • Strong proficiency in robotics hardware/software stacks (e.g., ROS/ROS2) and programming languages (e.g., Python, C++).
  • Demonstrated experience implementing and evaluating end-to-end robot learning systems.
  • Ability to travel to customer sites as needed.

Preferred Qualifications
  • Proven track record of building and deploying controllers, data acquisition pipelines, and machine learning or classical robotics algorithms on multiple robotic platforms.
  • Experience utilizing constrained edge compute devices (e.g., NVIDIA Jetson) for data acquisition and model inference.
  • Experience handling sensitive data and adhering to strict security protocols.

Base Salary Range
The anticipated base salary for this position is $155,000 - $205,000. Your actual pay will be based on factors such as skills, experience, and location. In addition to base salary, this role is eligible for benefits including medical, 401K and other health benefits.
Work Authorization
This role is open to candidates currently based in and authorized to work in the US.
Equal Opportunity Employer
General Robotics is an equal opportunity employer. We do not discriminate on the
basis of any status protected by applicable law.
Accommodations
If you need a reasonable accommodation during the application or interview
process, please contact: HR@GeneralRobotics.company

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