{"id":51320,"url":"https://alion.io/job/xai-software-engineer-data-center","title":"Software Engineer, Data Center - Memphis","company":{"id":28,"name":"xAI","domain":"x.ai","url":"https://alion.io/company/xai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":100,"ghost_share":0,"stale_share":0.47,"repost_share":0,"time_to_fill_p50_days":59,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Memphis, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":179000,"max_usd":354000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1351},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"DynamoDB","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"JavaScript","optional":false},{"name":"MySQL","optional":false},{"name":"New Relic","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"Splunk","optional":false},{"name":"ArgoCD","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Jenkins","optional":true},{"name":"k6","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-08-11T21:31:01Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-17T19:59:51Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":66},"description":"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 making life multiplanetary and expanding consciousness to the stars. \nSpaceXSI is building Super Intelligence to understand the universe and help expand humanity’s knowledge and capabilities. We work across the full Super Intelligence stack: compute (Colossus supercomputers), models (Grok), and applications (Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X). We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.\nABOUT THE ROLE:\nThe Data Center Engineering team builds the internal systems and platforms that keep our data centers running at the scale and reliability required for frontier AI training and inference. We partner closely with datacenter operations, research, and infrastructure teams to deliver high-leverage tools that turn raw operational data into clear insight and action.\nRESPONSIBILITIES:\nBuild and operate the software stacks that make site operations scalable, auditable, and fast - including repair trackers, vendor turnback workflows, operational dashboards, and their integrations. Your users are the technicians, managers, NOC operators, and leadership who run the fleet.\nDesign, build, and operate multi-service production systems (UI, APIs, data pipelines, auth, and on-call) for systems such as SRT-style repair/maintenance trackers and vendor turnover/turnback state machines.\nOwn correctness of operational state: node state accuracy, queue ownership, and audit trails - the data that decides what work happens on the floor.\nBuild and maintain integrations with ticketing, inventory/rack systems, telemetry stores, and vendor portals.\nKeep the tools themselves reliable: uptime, data integrity, reconciliation, access control, and safe deploys.\nEmbed with SiteOps and NOC users; measure workflow adoption, not just feature delivery.\nBASIC QUALIFICATIONS: \nBachelor’s degree in Computer Science, Engineering, or related fields.\n3+ years building and operating production software (backend and/or full-stack).\nStrong fundamental knowledge of computer science - data structures, algorithms, operating systems and networking.\nStrong proficiency in at least one programming language e.g. Rust, Python, JavaScript, Java, C++, etc.\nExperience designing and developing RESTful APIs for mission-critical applications.\nExperience working with at least one database like Postgres, MongoDB, MySQL, DynamoDB, etc.\nExperience collaborating with cross-functional teams.\nExperience working in cloud platforms like GCP, Microsoft Azure, AWS, OCI or similar.\nExperience using observability tools and dashboards like New Relic, Splunk, Grafana, etc.\nExperience writing unit tests and integration tests.\nPREFERRED SKILLS AND EXPERIENCE:\nFull-stack or backend + data experience, especially with workflow and state-machine systems.\nExperience automating deployments using CI/CD tools like Azure Devops, ArgoCD, Jenkins, GitHub Actions, etc.\nExperience building high-correctness operational UIs where a wrong value can dispatch a human to the wrong rack.\nOn-call discipline and a track record of treating internal platforms with production rigor.\nExperience designing and shipping multi-service systems (APIs, data stores, and at least one of: UI, pipelines, or auth).\nExperience delivering high-quality internal tools in rapidly changing environments (as a tech lead, former founder, etc.).\nProven ownership of correctness-sensitive systems - state machines, workflows, or operational data where inaccurate state has real-world impact.\nExperience integrating with external systems via APIs (e.g. ticketing, inventory, telemetry, or vendor portals).\nMS in Computer Science or related field.\nExperience collaborating closely with operations, NOC, and infrastructure teams.\nExperience working with performance load testing tools like BlazeMeter, k6, etc.\nADDITIONAL REQUIREMENTS:\nThe role is fully onsite in Memphis, TN or Southhaven, MS. Candidates are expected to be located near the area or open to relocation.\nSpaceXAI is an equal opportunity employer. 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