The AI Cloud and Developer Infrastructure organization at GM is responsible for delivering and maintaining tools and services that engineers use daily. The goal is to enhance the entire development process, ensuring AV engineers and others have world-class tools and a seamless development experience so they can focus on critical problems.
Requirements
- Experience in designing and implementing large scale systems
- Considerable experience in working with container orchestration systems ( eg. Kubernetes)
- Proficient in designing and developing sophisticated distributed systems, with expertise in one or more high-level programming languages such as Go, Python, Rust, C/C++, NodeJS or equivalent
- Considerable experience with Unix/Linux, SSH, and networking fundamentals
- Experience working with GCP, AWS, or Azure
- Familiarity with Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, TSDBs and observability pipelines ( e.g. either for logging or metrics or tracing)
- Skilled in defining and instrumenting SLIs and SLOs
Responsibilities
- Using your software and systems engineering skills to contribute code, perform code reviews, and create technical designs that improve performance and reliability of observability systems.
- Proactively identify and address challenges that create new opportunities to improve the state of engineering through observability.
- Building tools to enable engineers to collect and act on observability signals from distributed cloud systems and on-vehicle sensors
- Influence the team’s technical roadmap by evaluating new tools and technologies through PoCs and selecting roadmap investments that align with our team vision
- Drive software engineering best practices both within your team and across the AV organization, and create tooling which encourages these
- Guide the team to find the right balance between delivering impact and addressing technical debt
- Mentor and grow engineers on the team and across the organization
Other
- 7 + years of experience or p roven record of defining and executing technical strategy that required coordination across multiple teams, senior executives, and front-line engineers
- Experience driving consensus on a multi-functional effort using influence without authority
- Effective collaboration skills and experience researching, documenting, communicating, and defending proposals and taking and giving critical feedback
- Experience mentoring and growing junior engineers
- Passion for self-driving technology and its potential impact on the world
