Site Reliability Engineer

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

SITE RELIABILITY ENGINEER (RAPTOR)

SpaceX is looking for a Site Reliability Engineer with a strong drive to solve challenging problems in the Raptor engine organization. You will be empowered to solve a wide range of systems engineering problems – including High Performance Computing, System performance, networking, manufacturing infrastructure – with the singular goal of accelerating the pace of rocket engine development and delivering excellent results. You will work with engineering, analysis, IT, and facilities teams to identify and solve fundamental challenges to scaling the department engineering output.

RESPONSIBILITIES:

• Manage server infrastructure, HPC systems, storage systems, networks, and high-speed interconnect (Infiniband).
• Design, procure, and integrate infrastructure systems.
• Work with propulsion engineering staff to solve critical bottlenecks.
• Coordinate and communicate with company -wide infrastructure and IT teams.
• Support application deployment (ANSYS, StarCCM+, manufacturing software) for best performance of software on real-world systems.

BASIC QUALIFICATIONS:

• 1+ years of hands-on experience with client and server hardware/software, management tools, enterprise networking, virtualization, and security technologies.
• Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree.
• Experience with Linux and Windows server software.

PREFERRED SKILLS AND EXPERIENCE:

• 1+ year of systems engineering experience
• Experience with scripting languages (Bash, Python), automation (Puppet, Ansible), and other common sysadmin tools.
• Experience building, deploying, and troubleshooting large-scale compute systems.
• Familiarity with resource development and management (Kubernetes, Docker).
• Familiarity with engineering and analysis applications, such as CFD and FEA.
• Familiarity with diagnosing bottlenecks and designing systems for performance.
• Able to work effectively in a dynamic environment while assuming high levels of responsibility and demonstrating accountability for rocket engine-level outcomes.