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1–2 jobs· newest first

Sr. Software Engineer, ML PlatformNew
Cursor · Palo Alto, US+2 more
$180K–$330KOn-site · Full-time · Senior
Software Engineer, ML PlatformNew
Cursor · San Francisco, US+2 more
$140K–$225KOn-site · Full-time

+10K new in the last hour

Sr. Software Engineer, ML Platform

Cursor · Posted Nov 10, 2026

Palo Alto, California, United States +2 more
On-site
Full-time · Senior
$180K–$330K per year
5+ years

Apply with RefersoAI Apply on careers page

Build infrastructure that turns real product usage into better models and keeps research moving fast on large GPU fleets.

Locations (3)

Palo Alto, California, United States
San Francisco, California, United States
Manhattan, New York, United States

Compensation

The annual compensation range for this role is listed below. Annual Salary: $180,000 - $330,000 USD

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

Requirements

Bachelor's, Master's, or PhD in computer science, machine learning, or another quantitative discipline; OR equivalent work experience
Nice to have: owning production distributed systems at meaningful scale
Nice to have: building platforms for ML researchers and product engineers
Nice to have: high ownership
Nice to have: short feedback loop

Skills

distributed systems infrastructure ingestion data pipelines scheduling or orchestration GPU cluster scheduling job queues node health research compute developer experience telemetry event ingestion product analytics pipelines OpenTelemetry tracing reliable data APIs

Benefits

equity
comprehensive medical coverage
vision coverage
dental coverage
401(k) retirement plan

See full job description

Software Engineer, ML Platform

Cursor · Posted Nov 10, 2026

San Francisco, California, United States +2 more
On-site
Full-time
$140K–$225K per year
5+ years

Apply with RefersoAI Apply on careers page

Build infrastructure that turns real product usage into better models and keeps research moving fast on large GPU fleets.

Locations (3)

San Francisco, California, United States
Palo Alto, California, United States
Manhattan, New York, United States

Compensation

Annual Salary: $140,000 - $225,000 USD

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

ML dataset infrastructure

experiment monitoring

agent-friendly observability UX

Requirements

Bachelor's, Master's, or PhD in computer science, machine learning, or another quantitative discipline; OR equivalent work experience
Nice to have: experience owning production distributed systems at meaningful scale
Nice to have: experience partnering and building platforms for ML researchers and product engineers
Nice to have: telemetry: event ingestion, product analytics pipelines
Nice to have: product data platform

Skills

distributed systems infrastructure ingestion data pipelines scheduling/orchestration GPU cluster scheduling job queues node health observability OpenTelemetry Spark Flink Ray ML dataset and training-data infrastructure

Benefits

comprehensive medical, vision, and dental coverage
401(k) retirement plan
short & long-term disability insurance
life insurance
various discounts and perks

See full job description