If you are passionate about high scale, multithreaded distributed systems, where you find and overcome extreme cases with no apparent solutions anywhere else, this is the place for you.
This highly visible role as a member of our global hardware Infrastructure CAD Team will support best in class tools and platforms to enable our designed silicon components for the Silicon Engineering Group.
This highly visible role as a member of our global hardware Infrastructure CAD Team will support best in class tools and platforms to enable our designed silicon components for the Silicon Engineering Group.
Hands-on development and administration of an enterprise-scale distributed scheduling solution.
We are designing and developing auxiliary layers and services over existing batch grid systems.
Day-to-day work consists of working with the grid admins, understanding their work/requirements, and designing solutions/improvements to the environment.
Working mostly in a Linux environment.
You will be writing services in Java (Spring, Spring Boot, JPA, Spell …), partly working with Python/Perl when required.
Services interact with each other over REST and expose an API
Some of the use cases require CLI access to the services, which are consumed using the Perl/Python CLI wrappers.
Small, Agile development team working on design grid solutions.
Requirements:
Minimum Qualifications:
7+ years of experience in infrastructure engineering, DevOps, and SRE roles
Deep expertise in system performance tuning: CPU, memory, I/O, networking, and storage optimization.
Strong understanding of flow orchestration and pipeline efficiency, including dependency management, resource scheduling, and job prioritization.
Preferred Qualifications.
Familiarity with workflow profiling and optimization, including identifying and reducing bottlenecks in compute or data pipelines.
Familiarity with monitoring, observability, and alerting tools.
Ability to mentor other engineers and guide infrastructure best practices.
Minimum Qualifications:
7+ years of experience in infrastructure engineering, DevOps, and SRE roles
Deep expertise in system performance tuning: CPU, memory, I/O, networking, and storage optimization.
Strong understanding of flow orchestration and pipeline efficiency, including dependency management, resource scheduling, and job prioritization.
Preferred Qualifications.
Familiarity with workflow profiling and optimization, including identifying and reducing bottlenecks in compute or data pipelines.
Familiarity with monitoring, observability, and alerting tools.
Ability to mentor other engineers and guide infrastructure best practices.
This position is open to all candidates.
