# Member of Technical Staff – Realtime Pipeline Lead at Bridge Neurotech

- Company: Bridge Neurotech
- What the company does: Bridge Neurotech is building a non-invasive interface for the mind. Our aim is to image the brain's activity using ultrasound without surgery or other modifications to the body. First research study enrolling in Redwood City, California. Backed by General Catalyst.
- Company website: https://bridgeneurotech.com
- Type: Startups
- Level: Senior
- Location: Redwood City
- Work setup: On-site
- Posted: 2026-10-19
- Apply by: 2026-12-03
- Apply: https://jobs.ashbyhq.com/bridgeneurotech/b5a09b9c-ad88-4e7d-9d1d-6e7f8e412502?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/bridge-neurotech-realtime-pipeline-engineer/

## About the role

As the Realtime Pipeline Lead, you will own one realtime path end to end: multi-Gbit/s RF data off an ultrasound probe through GPU beamforming, clutter filtering, and imaging preprocessing; ML preprocessing; neural decoder inference; and decoded output to a BCI application. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Expert modern C++ and experience with CUDA and GPU kernels, with pipelines you wrote or substantially rewrote for signal-processing, imaging, or perception workloads in production
- You have taken trained PyTorch (or equivalent) models to GPU deployment under hard latency budgets, using TensorRT, ONNX Runtime, Triton or hand-built CUDA inference
- You have built and owned production realtime or HPC systems other engineers depended on, at multi-Gbit/s or equivalent data rates, and you were the person accountable when latency targets were missed
- Working fluency with cloud infrastructure: object storage and storage tiers, compute instances with GPUs, IAM, and the sync between an on-site acquisition system and cloud storage
- Strong data structures, algorithms and systems fundamentals: memory layout, host-device transfer, pinned memory, streams, concurrency
- Enough Python and PyTorch to read a model, profile it, and have an informed opinion about architecture trade-offs that affect latency

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/bridge-neurotech-realtime-pipeline-engineer/