G

General Robotics

Develops AI-driven, safe robotic intelligence

Robotics Engineer

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeRedmond, WA, USA$155k - $205kIn-person

About the Job

Requirements

  • A completed or in-progress Master’s degree in Robotics, Computer Science, or a related technical field, or equivalent practical experience.
  • Current and ongoing work authorization in the country of employment.
  • At least 2 years of experience developing and implementing robotics, machine learning, or control algorithms.
  • Strong proficiency with robotics hardware and software stacks such as ROS or ROS2, and programming languages such as Python and C++.
  • Demonstrated experience implementing and evaluating end-to-end robot learning systems.
  • Ability to travel to customer sites as needed.

Responsibilities

  • Independently set up robots for real-world deployments, including integrated edge computing and sensor suites.
  • Deploy state-of-the-art AI models and techniques on physical hardware, and lead field deployment and evaluation efforts.
  • Design, execute, and analyze experiments with rigorous, well-defined hypotheses.
  • Design data collection routines to acquire high-quality data from field tests for model fine-tuning.
  • Maintain a deep understanding of model architectures and their effects on real-world performance, specifically computer vision and machine learning from a robotics perspective.
  • Account for systems constraints such as bandwidth, compute, and latency when making modeling choices; identify and implement optimization opportunities to improve performance on edge computing devices.
  • Work closely with AI and Simulation Engineers to transition new techniques to the field, and communicate critical insights and metrics from real-world testing.
  • Translate field-tested patterns and learnings into scalable, streamlined capabilities within the GRID platform.

Desired Qualifications

  • Proven track record of building and deploying controllers, data acquisition pipelines, and machine learning or classical robotics algorithms on multiple robotic platforms.
  • Experience using constrained edge computing devices such as NVIDIA Jetson for data acquisition and model inference.
  • Experience handling sensitive data and adhering to strict security protocols.

About the Company

General Robotics

Develops AI-driven, safe robotic intelligence

Scaled Foundations develops robotic systems that can sense their surroundings, think through problems, and act reliably in real-world settings. The company uses machine learning, artificial intelligence, and simulation to improve how robots learn from their environment, interpret sensor data, make decisions, and perform actions with precision and safety. Its products rely on advanced algorithms and virtual testing to optimize performance before real-world deployment, reducing risk and improving efficiency. Compared with others, Scaled Foundations emphasizes turning hardware into adaptable, intelligent machines that safely operate alongside people in complex and dynamic environments. The overall goal is to create safer, more capable robots that can be deployed across a wide range of industries and applications, positively benefiting society.

Company size
11-50
Company stage
Seed
Total funding
$70K
Headquarters
Redmond, WA
Founded
2023

Recently Posted Jobs

Explore more opportunities at General Robotics

See more jobs