Helix AI Engineer, Backend Infrastructure
Core
Architect and build core backend systems for real-time streaming of media and sensor data to power AI and robotics platforms.
Role type
Senior IC backend infrastructure engineer
Builds
Cloud backend infrastructure, low-latency data pipelines, observability tooling for robot fleets
Domain
Robotics, AI serving, cloud infrastructure
Deliverable
infrastructure
Required skills
distributed systems, stream processing, connection management, data transport, low-latency architecture, cloud platforms, containerized infrastructure, service mesh, large-scale deployment pipelines
Preferred skills
AI inference serving integration, robotics domain knowledge, real-time data transport protocols, edge inference tradeoffs
Technologies
Go, C++, Python, Rust, AWS, GCP, Azure, Triton Inference Server, TensorRT, SageMaker, WebRTC, RTSP, gRPC, Kafka
Responsibilities
Architect and scale cloud backend infrastructure for high-concurrency real-time streaming; Design and build low-latency data pipelines for sensor and media streams; Own reliability, latency, and throughput SLAs; Collaborate with AI teams to integrate ML model serving; Build observability and alerting tooling; Drive architectural decisions and mentor engineers
Seniority
Senior, hands-on IC with mentorship