Staff Software Engineer
Core
Architect and design scalable, reliable, and efficient ML infrastructure and services for autonomous driving and robotics, handling large-scale training and massive datasets.
Role type
Staff Software Engineer (ML Infrastructure)
Builds
Scalable ML platform and services for autonomous vehicle manufacturers
Domain
Autonomous driving, robotics, cloud infrastructure
Deliverable
production ML models | infrastructure
Required skills
Distributed systems, cloud platforms (AWS, GCP, Azure), Kubernetes, Docker, microservices architecture, large-scale service design, machine learning concepts (model training and validation), cost optimization, system reliability
Preferred skills
Agile development, mentoring high-performing teams, managing ambiguity, innovative problem solving
Technologies
AWS, GCP, Azure, Kubernetes, Docker
Responsibilities
Architect scalable ML infrastructure, ensure global-scale data processing capabilities, optimize platform for flexibility and cost, build user-centric systems, own platform lifecycle from inception to deployment, collaborate with cross-functional teams, incorporate cutting-edge technologies, mentor engineers
Seniority
Staff, significant influence over business and technical direction
