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Lead Program Validation and Safety Engineers to define and execute risk-based vehicle validation strategies, integrate functional safety and DVUL deliverables, ensure PVCL readiness, drive standards and reporting, and align cross-functional stakeholders to close safety-critical items across multiple vehicle programs.

Design, develop, and maintain software systems for autonomous driving evaluation workflows. Collaborate across teams, improve infrastructure, and mentor engineers.

Lead global sourcing for technology purchases (software, SaaS, infrastructure). Develop and negotiate contracts, coordinate with IT, Security, Privacy, and Legal, manage renewals and supplier governance, perform benchmarking, and follow corporate sourcing processes to support business continuity.

The role involves leading testing for occupant positioning systems, developing test methodologies, automating tests, analyzing data, and collaborating cross-functionally for system improvements.

The Staff Software Engineer will lead technical projects on the Secondary Driving System, focusing on software architecture, multi-sensor perception, and integration, while mentoring the engineering team.

Design, modernize, and support enterprise applications and integrations across on-prem, cloud, SaaS, and hybrid environments. Implement IaC (Terraform), CI/CD, containerized deployments, automation, monitoring, backups, and disaster recovery. Enforce security best practices, troubleshoot incidents, document runbooks, and introduce practical AI-enabled automation and analytics. Mentor junior engineers and drive platform reliability and scalable integrations.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

The role involves designing and maintaining advanced HIL systems for vehicle validation, collaborating with diverse teams to enhance testing infrastructure and ensure high availability of test systems.

Lead sourcing of technology purchases (software, SaaS, infrastructure) globally. Develop and execute sourcing strategies, negotiate license and commercial terms, manage supplier performance and renewals, partner cross-functionally with IT, Legal, Security and Engineering, maintain benchmarks, ensure compliance with purchasing policies, and use procurement systems (e.g., SAP) to deliver contracts and business continuity.

Design, build, and deploy scalable ML training and evaluation platforms for autonomous driving. Lead architecture and implementation of distributed, high-performance pipelines, drive cross-team prioritization, mentor engineers, and support recruiting and code quality to accelerate ML model development lifecycle.