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Overview

GitHub is looking for a Principal Engineering Manager to lead the development of the GitHub Copilot AI inference platform. This role involves overseeing the allocation and deployment of GitHub's AI resources, managing high‑throughput service infrastructure for inference workloads, and improving the experiment‑to‑production pipeline. It includes operating orchestration frameworks that support generative AI workloads at scale. The adecuado candidate will possess a strategic vision, technical leadership in distributed systems and generative AI serving architectures, as well as the ability to mentor senior engineering leaders, build empowered high‑trust teams, and foster a culture of technical excellence and experimentation.

Location: Remote, United States.

Responsibilities

- Drive and support technical roadmap that aligns with product goals, ensuring that engineering efforts are strategically prioritized and incorporating the adoption of new technologies and methodologies where applicable.
- Facilitate cross‑team communications, identify dependencies, and resolve conflicts to ensure seamless integration and support across products, applications, and services.
- Drive employee growth and development, manage performance, and ensure the engineering team’s skills remain current by staying abreast of industry developments and best practices.
- Oversee capacity planning and dynamic traffic shaping to ensure performance, reliability, and compliance.
- Guide teams in designing scalable, secure, and observable systems that meet business and technical requirements.
- Champion experimentation and telemetry‑driven development, enabling rapid iteration and data‑informed decisions.
- Drive engineering excellence through automation, tooling, and standardization across deployment, testing, and operations.
- Own incident response and reliability practices, ensuring live services meet SLOs and postmortems drive systemic improvements.




- Work with architects to shape GitHub’s long‑term vision for AI infrastructure, identifying opportunities for innovation and leading initiatives that scale globally.

Qualifications

Required Qualifications

- 11+ 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, or related field AND 10+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in the aforementioned languages.
- OR Bachelor’s Degree in Computer Science or related field AND 9+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in the aforementioned languages.
- OR Master’s Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, or related field AND 7+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in the aforementioned languages.
- OR PhD in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics,



Computer Engineering, 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 the aforementioned languages.
- OR equivalent experience.
- 5+ years people management experience.

Preferred Qualifications

- Deep understanding of distributed systems performance, including autoscaling, load balancing, and traffic shaping for inference workloads.
- Proven track record of building and scaling engineering organizations in high‑growth or ambiguous environments.

Compensation Range

The base salary range for this job is USD $160,200.00 – USD $425,000.00 /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, and 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 the 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.

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!

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