Systems Engineer

General Robotics is an AI research and deployment company building a platform for general robot intelligence. Our mission is to enable rapid robust and safe deployment of general intelligence for autonomous systems and robotics. We aspire to become the starting point for AI-powered autonomous systems across a diverse set of scenarios.

Position Overview

We are seeking a Systems Engineer to join our team in Redmond WA. We build and optimize the infrastructure that powers generalized robotics foundation models spanning edge devices to cloud GPU clusters with a focus on low latency high throughput and efficient resource utilization across form factors such as aerial ground manipulation and others.

We are looking for strong candidates who have a background in systems engineering and AI/ML infrastructure with experience in areas like systems programming; distributed systems architecture; GPU-accelerated computing; containerized deployments; and ML training and inference optimization. By applying to this role you will be considered for multiple teams such as platform infrastructure ML systems and edge deployment.

Systems Engineer Responsibilities

• Design build and optimize systems infrastructure spanning edge devices to cloud GPU clusters for robotics workloads.

• Develop and maintain low-latency high-throughput pipelines for ML model training and inference.

• Architect and manage distributed systems for efficient resource utilization across heterogeneous compute environments.

• Optimize GPU/CUDA workloads and accelerate ML frameworks (PyTorch JAX TensorFlow) for robotics applications.

• Build and maintain containerized deployment pipelines using Kubernetes and Docker.

• Collaborate with research teams to translate model requirements into scalable production-grade systems.

• Design monitoring profiling and benchmarking tools to identify and resolve performance bottlenecks.

• Contribute to infrastructure tooling and open-sourcing efforts.

Qualifications

• Bachelors degree in Computer Science Computer Engineering Robotics relevant technical field or equivalent practical experience. Masters degree preferred.

• 1 years of experience in systems engineering software engineering robotics or AI/ML systems.

• Strong systems programming skills in one or more of: C Rust Go Python.

• Solid understanding of operating systems networking and distributed systems fundamentals.

• Experience with ML frameworks (PyTorch JAX TensorFlow) and cloud infrastructure (Kubernetes Docker).

• Experience with GPU programming and CUDA optimization for ML workloads.

• Experience designing and scaling distributed training infrastructure for large foundation models.

• Familiarity with cloud platforms (AWS GCP Azure) and infrastructure-as-code tooling.

• Familiarity with real-time systems embedded platforms or edge deployment for robotics.

• Experience with high-performance networking storage systems or scheduler design (e.g. Slurm Ray).

• Good understanding of ML model architectures and the ability to factor systems constraints into research decisions.

• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  

Base Salary Range

The anticipated base salary for this position is $155000 $205000. Your actual pay will be based on factors such as skills experience and 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:

Required Experience:

IC