Software Gigs

Build and operate the data and ML infrastructure powering an AI platform for materials science, owning both sides: data pipelines that ingest and curate large-scale scientific output into training-ready formats, and model packaging, serving, monitoring, and CI/CD systems that move models safely from research to production across customer environments. You will design data ingestion and transformation workflows, implement validation and quality gates, package and version models with reproducible builds, run models through batch and online inference with safe rollout and rollback, monitor for drift and degradation, and build observability and internal tooling for engineering and science teams. The role requires 6+ years shipping production software with deep expertise in data systems, ML infrastructure, containers, orchestration, and observability.

Join Singular Genomics' core software team as a generalist Software Engineer contributing to the sequencing analysis pipeline, operational tooling, and field support. You'll work across Python development, CI/CD infrastructure (Jenkins, Bitbucket), HPC job execution, and diagnostic troubleshooting of production failures on genomic sequencers. Responsibilities include pipeline bug fixes and features, build system maintenance, field triage, data handling logic, and developing lightweight web services and internal APIs. You need 2–5 years of professional experience, solid Python fundamentals, Linux/HPC familiarity, and the ability to debug and move fast across a large, real production codebase.