Systems Engineer

About the Company

General Robotics is an AI research and deployment company building a platform for general robot intelligence. Their mission is to enable rapid, robust, and safe deployment of general intelligence for autonomous systems and robotics.

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 like PyTorch, JAX, and TensorFlow
• 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

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a relevant technical field
• 1+ years of experience in systems engineering, software engineering, robotics, or AI/ML systems
• Strong systems programming skills in C++, Rust, Go, or 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)