Senior Physical AI Data Engineer
Core
Architect, build, and scale global data infrastructure and AI-based ground truth generation systems for autonomous driving and robotics partners.
Role type
Senior IC physical AI data engineer (MLOps & data infrastructure)
Builds
Large-scale automated labeling systems, LLM/agent-powered workflows, and MLOps platforms for multimodal sensor data
Domain
Physical AI, autonomous driving, robotics, computer vision
Deliverable
production ML models
Required skills
Python, C++, computer vision, machine learning, VLMs, AI agents, data pipeline design, data versioning, data lineage, distributed processing, GPU inference optimization
Preferred skills
Physical AI platforms, multimodal sensor processing, AI agent development, vision-language models, multi-region data governance
Technologies
Python, C++, computer vision models, vision-language models, AI agents, MLOps tools
Responsibilities
Develop and productionize AI-powered auto-labeling workflows; Design and implement MLOps capabilities for reproducible training and inference; Build observability and data quality frameworks; Optimize distributed processing and GPU inference workloads; Drive technical decisions and cross-functional execution; Establish engineering best practices
Seniority
Senior, hands-on IC
