Embedded Software Engineer, Data Center Engineering (Starmind)

SpaceX
Bastrop, TX
On-site

Who this role is best for

Aimed at mid-to-senior level embedded software engineers who thrive in cross-disciplinary teams and have experience with high-performance computing infrastructure.

Best fit for

  • Candidates with experience in managing large-scale GPU clusters and real-time embedded systems
    — “design, validate, and ship code that reliably and autonomously manages hundreds of thousands of coherently connected GPUs”
  • Individuals who have worked on firmware and hardware-in-the-loop testing in Linux environments
    — “Develop highly reliable, real-time software designed to run on compute tray host systems, baseboard management controllers, network switches, and peripheral rack hardware.”
  • Engineers with a background in developing and deploying production-grade C/C++ or assembly software
    — “Strong professional experience writing C, C++ or assembly in a production environment.”

Things to consider

  • This role requires up to 30% travel for on-site testing and hardware validation
    — “Ability to travel to support up to 30% to support on-site testing”
  • The position demands working extended hours or weekends for mission-critical deadlines
    — “Ability to work extended hours or weekends as needed for mission critical deadlines”

How to stand out

  • Highlight experience with distributed systems and real-time software in your resume and interviews
    — “Experience with application development and distributed systems architecture in a Linux environment.”
  • Emphasize your ability to work in cross-disciplinary teams and solve complex hardware-software problems
    — “We operate as a highly cross disciplinary team comprised of mechanical, electrical, optical, and software engineers”
  • Showcase projects involving high-performance computing infrastructure and hardware testing environments
    — “Developed, debugged and deployed software that has been used in real world hardware applications/projects, especially those for high performance computing infrastructure.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design, validate, and ship code for managing GPUs
  • develop tools for software development and deployment
  • deploy reliable software
Typical background
Bachelor’s degree in computer science, engineering, math, or science discipline

Skills & requirements

Required

Embedded SystemsReal-time SoftwareDistributed SystemsHardware TestingContinuous Integration

Preferred

High Performance ComputingNetworking ProtocolsSecurity Issues

Stack & domain

Embedded Software EngineeringData Center EngineeringTraining And Inference Compute ClustersThermal SystemsElectrical SystemsOptical SystemsReal-time SoftwareCC++AssemblyApplication DevelopmentDistributed Systems ArchitectureLinux EnvironmentNetworking ProtocolsDistributed Systems SecurityHardware-in-the-loop Regression TestbedsIn-field TestingContinuous Integration And Release SystemProblem-solvingTeamworkLeadershipCommunicationCreativityAnalytical SkillsEngineering FundamentalsData CenterEmbedded SystemsHigh Performance Computing

About the role

Original posting from SpaceX via Greenhouse

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.

EMBEDDED SOFTWARE ENGINEER, DATA CENTER ENGINEERING (STARMIND)

The Data Center Engineering team designs training and inference compute clusters from first principles, pushing thermal, electrical, and optical systems to the limit of physics. We operate as a highly cross disciplinary team comprised of mechanical, electrical, optical, and software engineers, all working to maximize the efficiency, reliability, and deployment speed of terrestrial computing to serve rapidly scaling demand.

As an Embedded Software Engineer on our team, you will design, validate, and ship code that reliably and autonomously manages hundreds of thousands of coherently connected GPUs. Your software will span the entire hardware stack from individual firmware ICs up through cluster aggregation networking, ensuring our compute fabric operates at peak efficiency and gracefully handles various fault conditions. To empirically define the limit of physics in our computing hardware, you will also work closely with mechanical, electrical, and optical engineers to develop automated hardware test environments for thermal, radiation, and power testing.

RESPONSIBILITIES:

Develop highly reliable, real-time software designed to run on compute tray host systems, baseboard management controllers, network switches, and peripheral rack hardware.

Participate in and lead architecture, design, and code reviews.

Develop prototypes and manage experiments to prove out key design concepts.

Develop tools for software development and deployment, data analysis and visualization, and test execution across multiple environments, including hardware-in-the-loop regression testbeds and in-field testing.

Deploy reliable software, test execution, and data analysis as part of a continuous integration and release system.

BASIC QUALIFICATIONS: 

Bachelor’s degree in computer science, engineering, math, or science discipline; OR 2+ years of professional experience in software development in lieu of a degree (internship experience is applicable).

Development experience in C, C++, or assembly.

Experience with application development and distributed systems architecture in a Linux environment.

PREFERRED SKILLS AND EXPERIENCE: 

Strong first-principles problem-solving skills and a focus on designing bug-free, maintainable software;

Strong professional experience writing C, C++ or assembly in a production environment.

Developed, debugged and deployed software that has been used in real world hardware applications/projects, especially those for high performance computing infrastructure.

Creative approach to problem solving, exceptional analytical skills and engineering fundamentals.

Excellent communication skills both written and verbal.

Ability to work effectively in a dynamic environment with changing needs and requirements.

Experience with networking protocols (UDP, TCP/IP, etc.) and distributed systems.

Experience in security issues associated with distributed systems and internet services.

ADDITIONAL REQUIREMENTS:

Ability to work extended hours or weekends as needed for mission critical deadlines

Ability to travel to up to 30% to support on-site testing at data center facilities

ITAR REQUIREMENTS:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.  

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com. 

Source: SpaceX careers (Greenhouse)

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