Systems Engineer Intern - Autonomous Vehicle Networks & Diagnostics

Required

• BS/BA degree or 7+ years of relevant work experience in AV Software Quality Operations / ML Operations
• Proven ability to manage complex, technical projects and experience working across technical partners (Product, Engineering, Data Science, Systems Engineering) to drive outcomes.
• Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring.
• Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics.
• Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations.
• A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment
• Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment.
• Undergraduate in technical degree preferred.
• Experience within A / V space.
• Competency in LLM / transformer models, and / or ML for robotics domain experience.
• Competency in SQL querying / data analysis.
• Experience working with offshore teams / multiple local operations hubs.