Senior Engineer, Machine Learning
Core
Senior ML Engineer building production infrastructure for distributed training, model optimization, and edge deployment of multimodal AI systems.
Role type
Senior IC machine learning infrastructure engineer (MLOps & Edge)
Builds
Production ML pipelines, GPU-enabled training clusters, and optimized models for embedded hardware
Domain
Semiconductor, AI, Robotics, Intelligent Edge
Deliverable
production ML models | infrastructure
Required skills
Python, Go/Rust/C++, Linux, Kubernetes, Terraform/Bicep, GPU orchestration, model quantization, ONNX, TensorRT, CI/CD, observability
Preferred skills
Azure cloud, embedded hardware deployment (Jetson), closed-loop control systems
Technologies
Python, Go, Rust, C++, Linux, Kubernetes, Terraform, Bicep, Azure, ONNX, TensorRT, Jetson
Responsibilities
Build distributed training infrastructure with multi-node GPU support and fault recovery; Optimize models for constrained embedded targets; Manage ML CI/CD pipelines with automated evaluation; Mentor engineers and drive practice adoption
Seniority
Senior, hands-on IC
