Principal Data Pipeline Architect, GPU Diagnostics

San Diego Stealth Startup; San Diego (CA); On-site; USD 258,000 - 275,000; Full time

Job summary

San Diego Stealth Startup is seeking a Principal Engineer to architect, build, and own an end-to-end data pipeline for a high-throughput diagnostic instrument platform in San Diego, CA. You will lead real-time image acquisition, GPU-accelerated signal processing, and orchestration across on-prem HPC and cloud infrastructure.

This technical leadership role requires designing robust, scalable pipelines that operate reliably at sustained throughput, with responsibility for memory, storage, and data

Qualifications

• PhD – 10 yrs, MS – 14 yrs and BS – 17 yrs of experience in Computer Science, Electrical Engineering, or related field.
• 15+ years of professional software engineering experience in performance-critical systems.
• Track record of architecting and delivering complex, multi-stage data processing pipelines.
• Demonstrated technical leadership and ability to mentor engineers.

Responsibilities

• Own the architecture of the complete data path from image acquisition to final processed output.
• Design pipeline stages with clear interfaces, flow control, and backpressure mechanisms.
• Ensure the pipeline sustains continuous high-throughput operation across extended instrument runs.
• Define data formats, handoff protocols, and buffering strategies between pipeline stages.
• Architect for graceful degradation and robust error handling across the pipeline.
• Establish performance budgets and SLAs for each pipeline stage and monitor adherence.

Skills

C/C++

CUDA

Linux

Python

Performance profiling

System design

GPU computing

Job orchestration

Education

PhD in Computer Science / Electrical Engineering

MS in CS/EE

BS in CS/EE

Tools

Perf / ftrace

Nsight

Job description

San Diego Stealth Startup is seeking a Principal Engineer to architect, build, and own an end-to-end data pipeline for a high-throughput diagnostic instrument platform in San Diego, CA. You will lead real-time image acquisition, GPU-accelerated signal processing, and orchestration across on-prem HPC and cloud infrastructure.

This technical leadership role requires designing robust, scalable pipelines that operate reliably at sustained throughput, with responsibility for memory, storage, and data