Systems Engineer - Machine Learning
General Robotics6 months ago
Redmond, WA, USAEntry Level
Base Salary
$155k - $200k/yr
Responsibilities
- Integrate and productionize state-of-the-art ML models in serving infrastructure while collaborating with research teams.
- Develop infrastructure tooling that makes onboarding new models faster and more reliable.
- Develop and maintain low-latency, high-throughput ML inference pipelines for robotics workloads.
- Optimize GPU workloads and accelerate ML frameworks through data-transfer, memory-management, batching, serialization, and concurrent-request optimizations.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- At least 1 year of experience in ML infrastructure, model serving, or backend systems engineering.
- Strong Python skills and the ability to turn unfamiliar research codebases into production services.
- Familiarity with PyTorch, JAX, Docker, Kubernetes, and distributed serving frameworks such as Ray or Triton.
- Familiarity with async Python, real-time communication protocols, and robotics systems is a plus.
- Familiarity with AWS, GCP, Azure, and infrastructure-as-code tooling is preferred.
- Must obtain and maintain work authorization in the country of employment; the role is open to candidates currently authorized to work in the United States.
Benefits
- Medical, 401(k), and other health benefits are included.
- The role is based in Redmond, Washington, and is open to candidates currently authorized to work in the United States.
Categories
About General Robotics
General Robotics builds a software platform for general-purpose robot intelligence that composes modular AI skills for sensing, reasoning, and safe, real-world performance. The company sells its platform and developer tools to robotics OEMs, integrators, and enterprises deploying mobile or fixed robots across varied environments. Privately held and founded in 2023, it is headquartered in Redmond, Washington.