Ml Systems Engineer, Robotics

Scaleai

San Francisco, CA, United States
$227,200—$284,000 usd; not specified; comprehensiv...
On-site
Backend system design
Ml infrastructure
Gpu algorithm optimization
Design and build platforms for scalable, reliable, and efficient serving of foundation models specifically tailored for physical agents

Job Summary

  • Design and build platforms for scalable, reliable, and efficient serving of foundation models specifically tailored for physical agents.
  • Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics.
  • Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference.

Matching Summary

Design and build platforms for scalable, reliable, and efficient serving of foundation models specifically tailored for physical agents.

Salary

$227,200—$284,000 USD; Not specified; Comprehensive health, dental and vision coverage, retirement benefits, learning and development stipend, generous PTO, commuter stipend

Skills & Requirements

Must-have

  • backend system design
  • ML infrastructure
  • GPU algorithm optimization
  • systems-level programming
  • serving and routing fundamentals
  • containerization and orchestration
  • cloud provider experience

Nice-to-have

  • Vision-Language-Action models
  • high-performance video processing
  • 3D data handling
  • robotics middleware knowledge
  • AV data formats familiarity

Key Requirements

  • 4+ years backend systems experience
  • Deep ML infrastructure experience
  • Experience with CUDA, kernel tuning
  • Experience with Docker, Kubernetes
  • Experience with AWS/GCP
  • Familiarity with Terraform

Work Rights

Not specified

Tailored Resume

Cover Letter