Systems Engineer Machine Learning

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 an ML Engineer to join our team in Redmond WA. We build and optimize the platform that serves ML models to robots in real-time from perception and planning to foundation models with a focus on low latency high throughput reliable and robust robot-to-cloud communication.

We are looking for strong candidates who have a background in ML infrastructure and model serving with experience in areas like CUDA kernel programming; distributed serving frameworks; real-time streaming; and taking research models to production. By applying to this role you will be considered for multiple teams such as platform infrastructure ML systems and edge deployment.

Responsibilities

• Integrate and productionize state-of-the-art ML models into our serving infrastructure collaborating with research teams to bring new architectures from prototype to to infrastructure tooling that makes onboarding new models faster and more reliable.

• Develop and maintain low-latency high-throughput pipelines for ML model inference across robotics workloads.

• Optimize GPU workloads and accelerate ML frameworks for real-time performance: data transfer memory management batching serialization and concurrent request handling.

Qualifications

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

• 1 years of experience in ML infrastructure model serving or backend systems engineering.

• Strong Python. Comfortable navigating unfamiliar research codebases and turning them into clean production services.

• Familiarity with ML frameworks (PyTorch JAX) containerized deployments (Docker Kubernetes) and distributed serving frameworks (Ray Triton or similar).

• Familiarity with async Python real-time communication protocols and robotics systems is a plus.

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

• 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-$200000. 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