Helix AI Engineer, Backend Infrastructure

Responsibilities

• Architect and scale cloud backend infrastructure for high-concurrency, real-time streaming of media and sensor data across robot fleets.
• Design and build low-latency data pipelines to ingest, route, and process high-bandwidth streams like camera feeds and IMU data.
• Own reliability, latency, and throughput SLAs for streaming and data infrastructure.
• Collaborate with AI and robotics teams to integrate ML model serving into real-time data pipelines.
• Build observability, alerting, and tooling to provide situational awareness over live robot traffic.
• Drive architectural decisions and mentor engineers across the team.

Requirements

• Deep experience scaling cloud backend systems handling high-concurrency, real-time data streams (media, sensor, or telemetry).
• Strong fundamentals in distributed systems, including stream processing, connection management, and low-latency architecture.
• Proficiency in one or more backend languages: Go, C++, Python, or Rust.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Experience with containerized infrastructure, service mesh, and large-scale deployment pipelines.
• Strong communication and cross-functional collaboration skills.

Preferred Qualifications

• Hands-on experience integrating AI inference serving (Triton, TensorRT, SageMaker, etc.) into real-time pipelines.
• Background in robotics, autonomous vehicles, or live media platforms.
• Familiarity with real-time data transport protocols such as WebRTC, RTSP, gRPC, or Kafka.
• Experience with on-device or edge inference and cloud vs. edge processing tradeoffs.

About the Company

Figure is an AI Robotics company developing a general purpose humanoid designed for commercial tasks and the home. Based in San Jose, we are building the core technology that enables robots to interact with the world.