Senior Machine Learning Infrastructure Engineer

Core responsibilities:

• Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale
• Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks
• Manage large-scale GPU clusters and implement distributed systems and storage solutions optimized for machine learning workloads
• Ensure high availability and reliability of the ML platform by implementing robust monitoring, logging, and alerting systems

This role contributes to pioneering AI-based virtual driver software for autonomous trucks, accelerating the deployment of next-generation autonomous vehicles that could transform transportation safety and efficiency.

Required qualifications:

• PhD or MS in Computer Science, Electrical Engineering, or related field
• PhD new grad or Masters with 3+ years of software engineering experience with focus on ML infrastructure or distributed systems
• Proficiency in Python, C++, SQL, containerization, orchestration technologies, and distributed ML workload tools
• Experience deploying and managing resources across multiple cloud platforms (AWS, GCP, or on-prem environments)

Compensation and benefits:

• Salary range: $160,000 - $200,000 per year
• Highly competitive salary and benefits package, including 401(k) plan
• Catered free lunch, unlimited snacks and beverages
• Wide range of opportunities for personal and professional development
• Work in a highly future-oriented, innovative and dynamic field

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks, working with partners including TRATON GROUP's Scania, MAN, International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV to accelerate autonomous truck deployment.