Sr. Software Engineer, ML Platform

Location: In-person in Palo Alto, San Francisco, or Manhattan, New York

Annual salary: $180,000–$330,000 USD

Company

Cursor AI is building Super Intelligence and a full stack spanning large-scale compute, models, and AI applications.

What you will do

• Design, build, and operate core platform systems used daily by ML researchers and product engineers.
• Partner with research teams to turn recurring problems into durable infrastructure.
• Own reliability, performance, and developer experience for platform systems.
• Build infrastructure supporting product analytics, data ingestion, datasets, training data, observability, and research compute.
• Ship iteratively in a high-ownership environment, measure impact, and improve platform quality.

Requirements

• 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, including infrastructure, ingestion, data pipelines, or scheduling and orchestration.
• Strong distributed-systems and infrastructure engineering experience.
• Experience owning production distributed systems at meaningful scale.

Nice to have

• Experience building platforms for ML researchers and product engineers.
• Experience with event ingestion, product analytics pipelines, OpenTelemetry, tracing, and reliable data APIs.
• Experience with data frameworks and Spark, Flink, or Ray for ML datasets and training-data infrastructure.
• Experience with experiment and run monitoring, debugging, evaluation tooling, or agent-friendly observability UX.
• Experience with GPU and cluster scheduling, job queues, node health, and research-compute developer experience.
• Ability to thrive in a high-ownership environment with a short feedback loop.

Culture & Benefits

• In-person work is required in the listed offices.
• Flat, high-ownership working environment with close collaboration between research, product, and infrastructure engineering.
• Medical, vision, and dental coverage.
• 401(k), short- and long-term disability insurance, life insurance, discounts, and other perks.
• Compensation includes base salary and equity.

Hiring process

• Complete 2–3 short technical interviews if selected.
• Attend an onsite interview in the office, including a small project, discussion of ideas, and meetings with the team.