- Redwood City, California, United States
- 8+ years
Lead the end-to-end realtime pipeline for a functional ultrasound imaging platform, owning architecture, performance, and integration with BCI applications.
Compensation
Competitive salary and meaningful equity.
Responsibilities
- Own the end-to-end realtime path: raw RF data ingestion, beamforming, processing, ML preprocessing, model inference, and decoded output.
- Set the technical direction for the realtime stack and represent it in architecture decisions across the company.
- Build the ML inference engine: model loading, GPU memory residency, batching, TensorRT/ONNX or hand-built CUDA inference, and kernel-level integration with upstream imaging compute.
- Integrate, extend, and contribute to GPU beamforming.
- Hit and hold realtime throughput and latency targets at multi-Gbit/s ingest with deterministic tail latency.
Requirements
- BS/MS/PhD in computer science, electrical engineering or a related field
- Nice to have: signal processing for imaging or RF
- Nice to have: functional ultrasound
- Nice to have: integrating ML inference with upstream realtime compute
- Nice to have: high-bandwidth I/O