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Systems Engineer

General Robotics ·Redmond, WA ·Onsite 101d ago
CUDAPyTorchTensorFlowKubernetesDockerAWSGCPAzureC++RustGoPythonDistributed Systems

About the role

General Robotics is an AI research and deployment company building a platform for general robot intelligence. We are seeking a Systems Engineer to join our team in Redmond, WA. The role involves designing, building, and optimizing systems infrastructure spanning edge devices to cloud GPU clusters for robotics workloads, developing low-latency pipelines, managing distributed systems, optimizing GPU/CUDA workloads, and collaborating with research teams. Candidates should have a background in AI/ML

Requirements

Bachelor's in CS/CE/Robotics or equivalent, 1+ years in systems/software engineering or AI/ML systems, strong systems programming (C++, Rust, Go, Python), understanding of OS, networking, distributed systems, experience with ML frameworks (PyTorch, JAX, TensorFlow), cloud infrastructure (Kubernetes, Docker), GPU programming and CUDA optimization, distributed training, cloud platforms (AWS, GCP, Azure), real-time systems, edge deployment, high-performance networking, storage, schedulers (Slurm, R

About the company

General Robotics

General Robotics provides a unifying platform called the Intelligence Grid for physical AI, enabling any robot to leverage a wide range of AI skills for perception, planning, and action. Their value proposition lies in democratizing robot intelligence, allowing for rapid deployment, easy skill composition, and scalable operation across diverse robot fleets and environments. This technology aims to make robots more adaptable, programmable, and ultimately, more useful in real-world scenarios.

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$155k–205k
Onsite Redmond, WARedmond, US
Posted 101d ago
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About the company
General Robotics
https://generalrobotics.company

General Robotics provides a unifying platform called the Intelligence Grid for physical AI, enabling any robot to leverage a wide range of AI skills for perception, planning, and action. Their value proposition lies in democratizing robot intelligence, allowing for rapid deployment, easy skill composition, and scalable operation across diverse robot fleets and environments. This technology aims to make robots more adaptable, programmable, and ultimately, more useful in real-world scenarios.

View company page →