Site Reliability Engineer — HPC & Automation (Silicon Engineering)

SITE RELIABILITY ENGINEER — HPC & AUTOMATION (SILICON ENGINEERING)

RESPONSIBILITIES:

• Deploy, upgrade, operate, maintain, and scale our suite of clusters and services
• Collaborate with engineers to develop automated, full turnkey solutions for silicon simulation workflows to speed up project timelines
• Manage our underlying infrastructure as code and use modern observability tools to provide a complete picture of cluster and infrastructure health
• Operate the continuous integration pipeline, build and release systems, and version control across the environment
• Identify and eliminate performance bottlenecks using measurement and creative engineering

BASIC QUALIFICATIONS:

• Bachelor’s degree in computer science, information systems, or an engineering discipline; OR 2+ years of professional experience in system administration, high performance computing, or site reliability engineering
• 1+ years of development experience with Bash, Python, and/or other programming languages
• 1+ years of experience with Linux operating systems

PREFERRED SKILLS AND EXPERIENCE:

• Familiarity with containerization technologies (i.e. Docker, Kubernetes)
• Knowledge in computer system concepts (computer architecture, computer organization, operating systems and concurrency)
• Experience with databases and data modeling (e.g., MySQL, PostgreSQL, SQLite)
• Networking knowledge of TCP/IP
• Experience with high performance computing and workload managers (e.g., Slurm, LSF)
• Experience with Terraform, Ansible, Puppet, or similar automation frameworks
• Experience building monitoring and alerting as code (e.g., Grafana, Prometheus, custom exporters)
• Experience with CI/CD automation at scale (e.g., Jenkins, Bamboo, build systems)
• Experience with infrastructure as code (IaC) tools for managing fleets of servers
• Experience with using & building REST API clients/servers
• Experience with enterprise/networked storage automation (e.g., NetApp ONTAP REST API/CLI, NFS)
• Experience with ASIC design flows and tools (e.g., Cadence, Synopsys, Ansys, Keysight, Siemens)
• Strong desire to find performance bottlenecks and performance improvement techniques
• Excellent communication skills with the ability to communicate with customers, peers, management, etc. in both formal and informal situations
• Ability to quickly learn new tools and frameworks
• Interest in or experience with AI/LLM-assisted tooling (e.g., Grok, Claude Code)

ADDITIONAL REQUIREMENTS:

• Ability to work extended hours and weekends as needed to meet critical milestones

COMPENSATION AND BENEFITS:

Pay Range:
Level 1: $125,000.00 - $150,000.00
Level 2: $145,000.00 - $175,000.00

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.