Description:

Join an ambitious, experienced team of silicon and distributed systems experts as an Infrastructure Software Engineer.
Build a groundbreaking new category of product that revolutionizes the performance and scalability of next-generation distributed computing systems.
Help solve key infrastructure challenges facing our customers.
Design, implement, and maintain infrastructure solutions for the company, such as HPC build cluster, Kubernetes and Nomad clusters, and remote developer environments.
Work closely with hardware and software teams to understand their needs and develop solutions that meet those needs.
Manage and maintain cloud-based solutions as well as on-prem systems, including monitoring.
Collaborate on the HPC system which runs EDA workloads.
Troubleshoot and resolve infrastructure issues such as degraded performance, loss of connectivity, and build failures.
Participate in code reviews and provide feedback to other engineers.
This position is eligible for remote work.

Requirements:

A Bachelor's degree in Computer Science, Software Engineering, or a related field, or applicable experience is required.
A minimum of 3 years of experience working with cloud computing platforms (AWS or GCP) is necessary.
At least 3 years of experience with infrastructure technologies (Kubernetes, CI/CD, etc.) is required.
Candidates must be fluent in Go.
Proficiency with scripting languages such as Bash and Python is essential.
Some proficiency with Terraform and/or Puppet is preferred.
Familiarity with Grafana and Prometheus is required.
A solid understanding of Docker containers is necessary.
Experience with Linux operating systems (Debian and RHEL) is required.
Strong problem-solving and analytical skills are essential.
Excellent communication and teamwork skills are necessary.
Experience supporting hardware teams is a plus.

The position offers the flexibility of remote work.
Join a team with a strong engineering pedigree and a proven track record of delivering, deploying, and scaling products in data center production environments.
Be part of a mission-driven company focused on revolutionizing AI compute systems and infrastructure at scale.
Work in a dynamic startup environment with significant investor support for ambitious projects.