Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and working with industry ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- Experience with security operating systems, distributed systems, Kernel, operating systems, network virtualization, and virtual machines.
Preferred qualifications:- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience with Linux, GPU Drivers, and GPU Programming.
- Experience with system software, distributed systems, and complex multi-component software systems.
- Familiarity with the Linux kernel interface and containers.
About the jobBorglet is a closely-knit team of 130 SWEs. Our team builds a high performance, reliable and efficient Borglet for Google Cloud, Core and ML usecases. We're part of the broader Borglet team, Google's node management agent. We're a strong, systems-heavy team that works closely with cluster management software, the kernel, with hardware platforms and user applications. This places us in a key position in infrastructure projects and has enabled us to play a critical role in our fast-growing Google Cloud business.
Borglet plays a critical role in Google's internal infrastructure and new Cloud & ML business by managing our fastest-growing resources. Come join a growing team making impactful contributions to Google's infrastructure and developing what is likely the most sophisticated cluster management system in the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $365000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
- Lead a team of engineers focussed on designing, implementing, and analyzing low-level computer systems and their interactions with the kernel and hardware; collaborating with partner teams as well as users across Google (e.g., cluster management team, ML teams, hardware platform teams, SRE teams, Google Cloud).
