Job Description

As a Platform Engineer, ML Ops, you will build and own the automatic deployment pipeline for AI driving models on multiple target embedded platforms. This role is at the intersection of machine learning and embedded systems, enabling the deployment of driving models onto autonomous vehicles.

Responsibilities

• Build and own the CI/CD model deployment pipeline
• Work closely with model developers, compiler engineers, and GPU kernel engineers
• Plan out roadmap milestones and execute against them
• Identify key roles and skillsets to grow the team
• Develop new skills in model optimization and deployment

Requirements

• Over 8 years experience in Site Reliability Engineering or a similar role
• Experience as a hands-on technical leader or senior engineer
• Proficiency in Python, C++
• Excellent interpersonal and communication skills
• Exceptional problem-solving skills and a detail-oriented mindset

Benefits

• No benefits