Platform Engineer - Core Systems

We are seeking a Platform Engineer to design, build, and operate core platform systems used daily by ML researchers and product engineers. You will partner closely with research to turn recurring pain into durable infrastructure, own reliability, performance, and developer experience for the systems in your lane, and ship iteratively in a flat, high-ownership environment.

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, then raise the bar

Basic Qualifications:

• Bachelor's, Master's, or 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, or scheduling/orchestration, etc.)

Preferred Skills and Experience:

• Experience owning production distributed systems at meaningful scale (ingestion, data pipelines, scheduling/orchestration, or similar)
• Experience partnering and building platforms for ML researchers and product engineers
• Thrive where ownership is high and the feedback loop is short
• 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 and eval tooling, agent-friendly observability UX
• ML DevX and Systems: GPU / cluster scheduling, job queues, node health, research compute developer experience

Additional Requirements:

• We're in-person with cozy offices in North Beach, San Francisco, Palo Alto, and Manhattan, New York, complete with well-stocked libraries
• If there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team

Compensation and Benefits: The annual compensation range for this role is $180,000 - $330,000 USD. 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 our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.