ML Engineer, I - App Engine
Core
Building a robust, efficient, and flexible platform for integrating and managing deep learning models for L4 autonomous trucking.
Role type
ML Engineer (Embedded Systems & SDK)
Builds
Processing pipeline SDKs, runtime environments, and virtual driver applications for automated trucks.
Domain
Autonomous driving / Embedded systems / GPU computing
Deliverable
production ML models
Required skills
C++, Embedded Software Development, GPU programming, TensorRT, CUDA, Real-time distributed systems, Linux, Machine Learning (PyTorch)
Preferred skills
SDK development for complex embedded systems, Autonomous robotic/vehicle systems, Computer architecture principles
Responsibilities
Develop processing pipeline SDKs spanning distributed System on a Chips; Optimize concurrent resource usage (Memory, GPU) for parallel model execution; Develop runtime environments for deploying ML-based virtual driver applications; Create high-quality code and test cases.
Seniority
Mid-level (1-3 years experience)
