AI Engineer
Core
Building and deploying AI models for perception and understanding across visual, audio, and real-world signals for fleet safety and operations.
Role type
Senior IC AI Engineer (full-stack model development and deployment)
Builds
Production ML systems for perception, on-device deployment, and cloud infrastructure for fleet data
Domain
Transportation and logistics, fleet management, computer vision, embedded systems
Deliverable
production ML models
Required skills
Deep learning fundamentals, systems thinking (latency/memory budgets), end-to-end ownership, Python, PyTorch, C++ or Go, agentic development tools, AI-assisted coding
Preferred skills
LLM or agent-based applications, on-device/embedded ML (SNPE, TensorRT, TFLite, ONNX), video understanding/VLM, large-scale video/telemetry data, distributed training frameworks (Ray/Anyscale)
Responsibilities
Research and develop machine learning models for perception and understanding problems, Design data, training, and evaluation approaches for real-world conditions, Integrate and validate new capabilities in real-time or resource-constrained systems, Work with firmware, platform, and product teams to turn research into working systems
Seniority
Senior, hands-on IC
