Responsibilities
Improve how the agent reviews: the context it uses, what it remembers, and how it handles a pull request as it changes over time.
Integrate frontier models and weigh review quality against latency and cost.
Prove changes with offline and online evals and help sharpen the evals themselves.
Work on the end-to-end review experience developers use in VS Code, the GitHub Copilot app, and the GitHub Copilot CLI, and on pull requests.
Drive down false positives and the comments developers scroll past.
Keep a high-throughput service healthy at GitHub scale, including an on-call rotation.
Work at the frontier of how software gets built with agents and evolve workflows that make the whole team faster.
Qualifications
Required Qualifications
6+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
OR Associate’s Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 4+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 2+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
OR Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field.
OR equivalent experience.
Preferred Qualifications
Hands-on experience pushing coding agents to their limits, with a view on where they help and where they don't.
Experience improving a nondeterministic, model-driven system and quantifying the gain in aggregate.
Fundamentals in Go, Ruby, TypeScript, or Python, with the distributed systems and operational experience to keep a service healthy under load.
Experience building an LLM-backed or agentic product in production, or the evals behind one.
Compensation Range
The base salary range for this job is USD $124,000.00 - USD $329,200.00 /Yr.
These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.
This position will be open for a minimum of 3 days, with applications accepted on an ongoing basis until the position is filled.
GitHub values
Customer-obsessed
Ship to learn
Growth mindset
Own the outcome
Better together
Diverse and inclusive
Manager fundamentals
Model
Coach
Care
Leadership principles
Create clarity
Generate energy
Deliver success
Who We Are
GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub.
Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms.
Join us, and let’s change the world, together.
EEO Statement
GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
Improve how the agent reviews: the context it uses, what it remembers, and how it handles a pull request as it changes over time.
Integrate frontier models and weigh review quality against latency and cost.
Prove changes with offline and online evals and help sharpen the evals themselves.
Work on the end-to-end review experience developers use in VS Code, the GitHub Copilot app, and the GitHub Copilot CLI, and on pull requests.
Drive down false positives and the comments developers scroll past.
Keep a high-throughput service healthy at GitHub scale, including an on-call rotation.
Work at the frontier of how software gets built with agents and evolve workflows that make the whole team faster.
Required Qualifications
6+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
OR Associate’s Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 4+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 2+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
OR Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field.
OR equivalent experience.
Preferred Qualifications
Hands-on experience pushing coding agents to their limits, with a view on where they help and where they don't.
Experience improving a nondeterministic, model-driven system and quantifying the gain in aggregate.
Fundamentals in Go, Ruby, TypeScript, or Python, with the distributed systems and operational experience to keep a service healthy under load.
Experience building an LLM-backed or agentic product in production, or the evals behind one.
