Staff ML Infrastructure Engineer - Embodied AI Offboard Perception

About the job For our client, we are seeking a Staff ML Infrastructure Engineer - Embodied AI Offboard Perception to join the team of a leader in the Manufacturing & Automotive space. This role will lead technical initiatives focused on scalable systems, platform reliability, and meaningful business transformation. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a manufacturing environment. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $189,300 – $290,700 annually Responsibilities Design and maintain ML infrastructure for developing offboard perception models Integrate models into production systems with validation and rollout strategies Implement CI/CD pipelines for ML systems, emphasizing automated testing and deployment Establish evaluation frameworks for model performance and production monitoring Develop infrastructure for reliable experiment tracking and benchmarking Support dataset curation and ingestion for improved model performance Collaborate with teams to ensure reliable model integration into production services Qualifications 5-7 years of experience in ML infrastructure engineering or similar roles Strong software engineering fundamentals in building reliable and scalable systems Proficiency in Python with experience in ML libraries like PyTorch and NumPy Experience with ML deployment pipelines and production rollout processes Familiarity with distributed training on GPUs and cluster scheduling Experience using containerization and automation tools like Docker and Kubernetes Strong communication skills to collaborate effectively across teams Benefits Comprehensive health and wellbeing benefit programs including medical and dental Retirement savings plan and various insurance options including life insurance Paid vacation and holidays, promoting work-life balance Tuition assistance programs for personal and professional development Eligible for relocation benefits depending on the location Opportunity to drive and evaluate a the company company vehicle Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs. Desired Skills and Experience Python, PyTorch, NumPy, Docker, Kubernetes, CI/CD systems, Distributed training frameworks, Experience in robotics, Experience with perception systems, Experience in autonomous driving, Machine Learning (ML) libraries, Data Engineering tools, Monitoring tools for ML systems, Version control systems (e.g. Git), Cloud platforms (e.g. AWS, GCP, Azure)