Robotics ML Systems Engineer: Training & Real-Time Inference

Sunday; Mountain View (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

A robotics innovation company focused on home robotics seeks a Software Engineer to develop machine learning infrastructure. You will own training systems, optimize data pipelines, and work on real-time robot control systems. Ideal candidates have a strong software engineering background, with experience in distributed systems, machine learning infrastructure, and collaboration with researchers. This role offers the chance to contribute to groundbreaking robotics technology in an inclusive and diverse environment.

Qualifications

• Strong software engineering principles and problem-solving skills.
• Experience in creating and managing complex data pipelines.
• Familiarity with machine learning frameworks, especially PyTorch.

Responsibilities

• Maintain an effective research codebase optimizing for fast iteration and correctness.
• Own infrastructure for training: job scheduling and metrics.
• Scale distributed training across GPU clusters with minimal friction.
• Build low-latency inference pipeline for real-time control of robots.
• Design high-throughput data pipelines for multimodal robot data.

Skills

Strong software engineering and systems fundamentals

Experience building distributed systems or large-scale data pipelines

Hands-on experience with ML training infrastructure, ideally PyTorch

Comfort reasoning about performance, memory, I/O, and GPU utilization

Experience managing training workloads (SLURM, Kubernetes, or similar)

Job description

A robotics innovation company focused on home robotics seeks a Software Engineer to develop machine learning infrastructure. You will own training systems, optimize data pipelines, and work on real-time robot control systems. Ideal candidates have a strong software engineering background, with experience in distributed systems, machine learning infrastructure, and collaboration with researchers. This role offers the chance to contribute to groundbreaking robotics technology in an inclusive and diverse environment.