Senior/Staff Software Engineer, ML Inference Platform
Core
Design, build, and deploy core infrastructure components for the machine learning model life cycle, including robust data pipelines, optimized model deployment on self-driving robots, and in-house ML inference/compilation platforms.
Role type
Senior/Staff Software Engineer, ML Infrastructure
Builds
Scalable ML workflow pipelines, continuous testing/monitoring systems, observability tools, in-house ML inference platform, and ML compiler platform for autonomy models.
Domain
Autonomous driving / Physical AI / Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
Python, C++, ML pipeline design, distributed systems architecture, system design, data workflow orchestration
Preferred skills
High-performance low-level languages, large-scale distributed systems, ML compilers
Responsibilities
Design and develop ML workflow pipelines for training, optimization, validation, and deployment; Develop and maintain continuous testing and monitoring systems for core ML infrastructure; Develop observability to track ML model lifecycles; Maintain an in-house ML inference platform; Maintain an in-house ML compiler platform.
Seniority
Senior/Staff, hands-on IC
