Senior HPC Systems Engineer – Throughput & Reliability

San Diego Stealth Startup; San Diego (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

San Diego Stealth Startup seeks an experienced systems engineer to build and improve a fast, observable, and reliable data compute path across ingestion, processing, storage, and delivery. You will work with algorithms, platforms, and infrastructure engineers to ensure throughput and latency constraints are met in production.

Early focus includes benchmarks, stateful multi-threaded pipelines, and production-ready ML model productization for performance and reliability.

Qualifications

• PhD (CS/Life Sciences or related) with 3+ years of relevant experience or Master’s with 6+ years or Bachelor’s with 8+ years.
• Contributed to complex production software with state machines, concurrency, and I/O bottlenecks.
• Shipped production-quality software in C++, Rust, CUDA, C, or C#; familiar with profiling, tracing, debugging, testing, builds, and CI.
• Able to reason about throughput, latency, memory, storage, network behavior, and error recovery.
• Experience productizing ML models (neural nets, tree-based, or unsupervised) for production reliability.
• Works well in a flat, technical team and communicates tradeoffs clearly.

Responsibilities

• Build and improve a high-throughput compute stack that is fast, observable, recoverable, and operable in production.
• Establish reproducible hardware benchmarks for accelerated compute, memory transfers, storage throughput, and network streaming.
• Productize ML models so they meet production requirements for performance, reliability, observability, and quality.
• Define backpressure, checkpointing, retry, and recovery behavior for disk pressure and network outages.
• Ensure production interfaces and tests remain durable against future algorithm changes.
• Collaborate with algorithms, platform, and infrastructure engineers to improve reliability of data and compute paths.

Skills

C++

Rust

CUDA

C

C#

Profiling

Tracing

Debugging

CI

Education

PhD in Computer Science or related field

Master’s degree with 6+ years of experience

Bachelor’s degree with 8+ years of experience

Tools

CI/CD tooling

Profiling tools

Debugging tools

Job description

San Diego Stealth Startup seeks an experienced systems engineer to build and improve a fast, observable, and reliable data compute path across ingestion, processing, storage, and delivery. You will work with algorithms, platforms, and infrastructure engineers to ensure throughput and latency constraints are met in production.

Early focus includes benchmarks, stateful multi-threaded pipelines, and production-ready ML model productization for performance and reliability.