Full-Time

Robotics Engineer

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General Robotics

General Robotics

11-50 employees

Develops AI-driven, safe robotic intelligence

Compensation Overview

$155k - $205k/yr

Redmond, WA, USA

In Person

Must be authorized to work in the United States.

Category
Mechanical Engineering
Required Skills
LLM
Python
Neural Networks
Pytorch
Machine Learning
C/C++
Computer Vision

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Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Research experience in machine learning, robotics, and computer vision.
  • Experience with developing robotics algorithms or machine learning models at scale.
  • Programming experience in Python/C++. Good understanding of deep learning frameworks like Pytorch or Jax.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Responsibilities
  • Design methods, tools, and infrastructure to push forward the state of the art in robotics and foundation models.
  • Define research goals informed by practical engineering concerns.
  • Adapt standard machine learning models and frameworks to robotics applications (e.g. computer vision, SLAM, navigation).
  • Work with high fidelity simulation platforms for synthetic data generation.
  • Design data loading and training pipelines for large scale foundation model training.
  • Contribute to experiments, including designing experimental details, writing reusable code, running model evaluations, and organizing results.
  • Contribute to publications and open-sourcing efforts.
Desired Qualifications
  • Master's/PhD in Robotics, Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Direct experience in robotics, computer vision, or machine learning research.
  • First author publications at peer-reviewed AI and robotics conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICRA, IROS, CORL).
  • Experience with high fidelity simulation platforms such as AirSim, CARLA, Isaac Sim, Mujoco, Maniskill among others.
  • Experience building efficient robotics pipelines involving sensor fusion and model inference
  • Experience working with modern computer vision algorithms and sensors (RGB, RGB-D cameras, LIDAR.), 3D (meshes, point clouds, etc.), segmentation, tracking, detection.
  • Good understanding of systems considerations and the ability to factor these into model choices.

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

Kirkland, Washington

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Foundation models accelerate robot deployment with minimal reprogramming for diverse physical tasks.
  • Digital twin simulations reduce on-site adjustment time by enabling efficient virtual training.
  • Humanoid robot adoption expands utility across industries beyond traditional factory floors.

What critics are saying

  • Boston Dynamics leads industrial automation deployments, outpacing General Robotics' unproven scale.
  • Machina Labs directly competes with GRID in software-defined factory AI control.
  • Tesla and Boston Dynamics surpass General Robotics with end-to-end hardware plus AI stacks.

What makes General Robotics unique

  • GRID unifies AI skills across all robot form factors via modular orchestration.
  • Foundation models enable robots to understand natural language and perform diverse tasks.
  • Digital twin simulations allow large-scale virtual testing before real deployment.

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Benefits

Health Insurance

Growth & Insights

Headcount

6 month growth

0%

1 year growth

11%

2 year growth

26%