Senior ML Platform Systems Engineer

Cursor

Palo Alto (CA)

On-site

USD 180,000 - 240,000

Full time

3 days ago
Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Cursor is seeking an experienced platform infrastructure engineer in Palo Alto to design, build, and operate scalable systems used by ML researchers and product engineers. You will own reliability, performance, and the developer experience across distributed production systems.

You will partner with research teams to turn recurring needs into durable infrastructure, improving the path from product usage and experiments to trusted model runs, with a strong emphasis on Kubernetes or Ray

Qualifications

  • Strong systems or infrastructure engineering experience with ownership of production distributed systems at scale.
  • Comfortable with Linux, cloud or bare-metal environments, and orchestration tools such as Kubernetes or Ray.
  • Ability to work closely with ML researchers and product engineers to turn needs into durable infrastructure.

Responsibilities

  • Design, build, and operate platform systems used by ML researchers and product engineers with ownership of reliability, performance, and developer experience.
  • Collaborate with research teams to turn recurring needs into durable infrastructure and improve the path from product usage to trusted model runs.

Skills

Distributed Systems
Infrastructure Software Engineering
Production Systems
Event Ingestion
Data Pipelines
Scheduling And Orchestration
Linux
Cloud Computing
Bare-Metal Infrastructure
Kubernetes
Ray
GPU Cluster Scheduling
Observability
OpenTelemetry
Spark
Flink

Tools

Kubernetes
Ray

Job description

Cursor is seeking an experienced platform infrastructure engineer in Palo Alto to design, build, and operate scalable systems used by ML researchers and product engineers. You will own reliability, performance, and the developer experience across distributed production systems.

You will partner with research teams to turn recurring needs into durable infrastructure, improving the path from product usage and experiments to trusted model runs, with a strong emphasis on Kubernetes or Ray

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Software Engineer, ML Platform
Software Engineer, ML Platform

Cursor • Palo Alto (CA)

On-site
USD 180,000 - 240,000
Principal ML Platform Engineer - Scalable, Reliable Systems
Principal ML Platform Engineer - Scalable, Reliable Systems

EngineersOfAI • Sunnyvale (CA)

On-site
USD 150,000 - 200,000
Senior ML Platform & Operations Engineer
Senior ML Platform & Operations Engineer

World • New Germany (MN)

On-site
USD 140,000 - 190,000
ML Platform Engineer — Build Scalable AI Infra & Inference
ML Platform Engineer — Build Scalable AI Infra & Inference

Not Specified • United States

Remote
USD 140,000 - 180,000
Senior ML Platform Engineer - Scale Experiments & AI
Senior ML Platform Engineer - Scale Experiments & AI

EngineersOfAI • United States

Hybrid
USD 100,000 - 130,000
Senior ML Infrastructure Engineer
Senior ML Infrastructure Engineer

Unity Enterprise • Mountain View (CA)

On-site
USD 179,000 - 232,000
Senior ML Platform Engineer - Remote, Scalable Inference
Senior ML Platform Engineer - Remote, Scalable Inference

Bright Vision Technologies • North Brunswick Township (NJ)

Remote
USD 100,000 - 160,000
Senior ML Platform Engineer - Scalable AI Systems
Senior ML Platform Engineer - Scalable AI Systems

PointClickCare • Northern (KY)

Hybrid
USD 174,000 - 218,000
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
+1
Senior ML Platform Engineer — Real-Time, Scalable AI
Senior ML Platform Engineer — Real-Time, Scalable AI

super • United States

On-site
USD 140,000 - 190,000
Medical / Health Insurance
Open Annual Leave
Employee Assistance Programme
+1
Remote ML Infrastructure Backend Engineer
Remote ML Infrastructure Backend Engineer

Constructor • United States

Remote
USD 80,000 - 120,000
Remote work
Home office stipend
Laptops provided
+2