Jobs at San Diego Stealth Startup

This is a senior full-stack engineer role responsible for architecting and building internal platforms and cloud infrastructure that serve operations, finance, lab, and external customers. The engineer will design data models and APIs connecting lab systems, business software (NetSuite, ATS, CRM), and internal dashboards; build robust cloud infrastructure managing provisioning, cost, reliability, and security; and set technical direction on architecture, code quality, CI/CD, and observability across a growing engineering org.…See more The role requires 10+ years of full-stack production experience, deep hands-on cloud infrastructure knowledge, modern frontend (React) and backend skills, and ability to work directly with non-engineering stakeholders to translate ambiguous business requirements into shipped software. Over time, the engineer will build and mentor a team.

Build production inference systems that turn ML research prototypes into deployed, performant components under strict latency, throughput, memory, and accuracy constraints. Own the full pipeline from model optimization through deployment: profile and tune tensor execution, write Rust/C++/CUDA where necessary, build evaluation machinery tied to product metrics, and maintain reproducible deployment contracts.…See more You'll collaborate with research teams to surface shipping risks early and translate algorithmic work into engineering reality with explicit performance budgets and regression gates.

Staff Software Engineer to own end-to-end LIMS (Laboratory Information Management System) implementation for a clinical/molecular diagnostics lab, connecting sample tracking to lab automation and instrumentation. Responsibilities include building the LIMS platform, creating integrations between LIMS and lab devices, modeling complex sample preparation and assay execution data chains, and ensuring compliance with 21 CFR Part 11.…See more Requires 7+ years of hands-on LIMS experience in clinical or molecular diagnostics, deep knowledge of sample-tracking data models for high-throughput workflows, full-stack programming across UI/APIs/backend, and regulated-environment expertise (21 CFR Part 11, ISO standards, CAP/CLIA). This is a hands-on technical leadership role requiring strong communication between lab scientists, automation engineers, and software teams.

Build and optimize a high-throughput compute stack for reliable, production-grade data ingestion, processing, storage, and delivery. The role focuses on making stateful, multi-threaded pipelines fast and observable under real-world constraints—profiling bottlenecks, hardening recovery behavior, and productizing machine-learning models (neural networks, tree-based, unsupervised) to meet performance, reliability, and quality standards.…See more You will work alongside algorithm and infrastructure engineers, using measurements to drive performance improvements and ensure production interfaces remain durable as the system evolves. Requires strong systems-level experience with concurrency, I/O, and production debugging in C++, Rust, CUDA, or C; a track record of shipping production software; and hands-on expertise in resilient data pipelines and GPU computing.