Sr. Software Engineer, ML Platform
Cursor · Palo Alto, CA
About this role
## Sr. Software Engineer, ML Platform SpaceXSI is building Super Intelligence to help humanity understand the universe. Teams are working across the full Super Intelligence stack—from Colossus supercomputers and Grok models to applications like Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. As a **Software Engineer on ML Platform**, you’ll build the infrastructure that turns real product usage into better models and keeps research moving fast on large GPU fleets. ### Responsibilities - Design, build, and operate core platform systems used daily by ML researchers and product engineers - Partner closely with research to turn recurring pain into durable infrastructure - Own reliability, performance, and developer experience for the systems in your lane - Ship iteratively in a flat, high-ownership environment—measure impact and raise the bar ### Basic Qualifications - B.S./M.S./PhD in computer science, machine learning, or another quantitative discipline **or** equivalent work experience - **5+ years** of industry experience working with production distributed systems (e.g., infrastructure, ingestion, data pipelines, scheduling/orchestration) ### Preferred Skills & Experience - Experience owning production distributed systems at meaningful scale (ingestion, data pipelines, scheduling/orchestration, etc.) - Experience partnering with and building platforms for ML researchers and product engineers - Strong fit for high-ownership environments with a short feedback loop - Telemetry: event ingestion, product analytics pipelines, OpenTelemetry/tracing, reliable data APIs - Product Data Platform: data frameworks; Spark/Flink/Ray; ML dataset and training-data infrastructure - Observability: experiment/run monitoring, debug & eval tooling, agent-friendly observability UX - ML DevX & Systems: GPU/cluster scheduling, job queues, node health, research compute developer experience ### Additional Requirements - **In-person** role with offices in **North Beach (San Francisco), Palo Alto, and Manhattan (New York)** - If there’s a fit, you’ll be invited to **2–3 short technical interviews**, followed by an **onsite** where you’ll work on a small project, discuss ideas, and meet the team ### Compensation & Benefits - **Annual salary range:** **$180,000 – $330,000 USD** (level and base salary determined case-by-case) - Total rewards include **equity**, comprehensive **medical/vision/dental**, **401(k)**, short & long-term disability, life insurance, and additional perks/discounts
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