Systems Engineer San Francisco, CA

We are a team of engineers and researchers with an ambitious mission: to move the world toward error-free software. We're doing this by building tools to autonomously review and test code. We are backed by Accel, Guillermo Rauch (Vercel), Thomas Wolf (Hugging Face), David Cramer (Sentry), Charlie Marsh (Astral), and a number of other open source developers, machine learning researchers, and entrepreneurs. If you wish to learn more, read here about our mission and values. The Culture We Are Building We are assembling a lean group of generalists. While we welcome experience, we're primarily looking for creative, curious problem solvers with a keen interest in open-ended, technically challenging problems. We are looking to hire in-person in San Francisco. We believe that having a community is critical for learning, growth, and camaraderie. We will pay generously for relocation assistance. We want to invest heavily in our team's growth. We will happily sponsor conference attendance (NeurIPS, ICML, RustConf, PyCon, etc.) and encourage projects and research. If there's something that will help you grow as an engineer, researcher, or designer, we actively want to support it. We believe in compensating exceptional talent exceptionally well. We benchmark our compensation against the top 90th percentile for each role, and we're committed to working with candidates we're excited about to ensure they are excited too. We have an academic as well as competitive spirit. We enjoy thought exercises, math puzzles, intellectual inquiry, and vigorous debates. Build developer tooling for semantic diffing and code search. Ship fast search across codebases and diffs, a diff engine that understands syntax trees and symbols, and workflows including 'rebase a review.' Help invent new diffing primitives, recognize refactors and code movement, and advance the version-control model itself. Responsibilities Design and implement fast, accurate full-text and vector search over diffs and codebases; build embedding and indexing pipelines and benchmark retrieval quality, latency, and cost Evaluate and integrate vector stores (e.g., TurboPuffer, S3 Vectors, pgvector, Chroma) or build bespoke indexers optimized for code and diffs Build a semantic diff engine that understands syntax trees, symbols, and refactors; detect renames and code movement across files, functions, and modules Design algorithms to recognize equivalence under renaming, indentation, and structural transformations; enable change grouping and conflict visualization Deliver low-latency, high-throughput indexing and retrieval at massive-repo scale; define SLOs, instrument, and continuously benchmark Prototype and productionize workflows like "rebase a review" and multi-VCS support (Git, Jujutsu), including deep integrations with code hosts Qualifications Expertise in Rust, C, or Zig and systems programming, with strong understanding of performance, concurrency, and correctness Experience with ASTs/parsers (e.g., tree-sitter), program analysis, or compiler/tooling internals Hands-on background in search and retrieval systems: embeddings, vector indexes, ranking, or RAG Understanding of version-control internals (Git DAGs, merge/rebase strategies); exposure to alternative VCS (e.g., Jujutsu) is a plus Experience building scalable indexing pipelines and services, with strong observability and benchmarking discipline Interview Process Our interview process is designed to be thorough yet efficient, respecting our time as well as yours. We occasionally accelerate the process or skip steps for candidates. Application Send your resume, a personal introduction, and evidence of exceptional ability to View email address on click.appcast.io. Technical Discussion A conversation with our engineers about your background. Final Onsite Collaborate with our team on a real problem in our codebase. #J-18808-Ljbffr Assert