Remote Infrastructure Software Engineer

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.

Benefits:

• 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.