Redefining Robotic Intelligence. Backed by Khosla.
About the role
Design and operate large-scale infrastructure to run model workloads across cloud and on-prem environments Build and maintain Kubernetes-based deployment pipelines for managing distributed ML workloads
What they're looking for
- 3+ years of experience in ML infrastructure, MLOps, or distributed systems
- Strong proficiency with Kubernetes and containerized deployment pipelines
- Experience with GPU orchestration and resource scheduling across large distributed jobs
- Experience with cloud providers (e.g., AWS, GCP) and hybrid cloud/on-prem infrastructure
- Familiarity with ML frameworks (e.g., PyTorch, JAX) and model serving tools (e.g., Triton, Ray Serve, TorchServe)
- Strong debugging instincts and ownership mentality — comfortable driving issues to resolution across the stack
More about this role
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.
We're looking for an Inference Infrastructure Engineer to help build and operate the systems that power our model deployment stack. You'll be responsible for running large foundation models efficiently and reliably across cloud and on-prem environments, with a focus on resource management, scheduling, and infrastructure scalability.
Design and operate large-scale infrastructure to run model workloads across cloud and on-prem environments
Build and maintain Kubernetes-based deployment pipelines for managing distributed ML workloads
Own resource scheduling...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area