Top Tech Jobs & Startup Jobs

Design, configure, build, test, and maintain Workday Extend applications and integrations using Workday Studio and APIs. Translate business requirements into technical specifications, document solutions, and participate across the software development lifecycle while collaborating with stakeholders and staying current on Workday and AI-related capabilities.

Lead enterprise architecture for GM Defense IT: define target-state architectures, standards, and roadmaps for secure, compliant environments; drive application inventory, migration planning, security and compliance controls, stakeholder alignment, and architecture governance to enable scalable, regulated operations.

Design, develop, test, and support Workday integrations (EIB, Connectors, Studio). Collaborate with HR and IT to gather requirements, produce interface specs, perform root-cause analysis, document processes, and optimize integration performance while staying current with Workday updates and AI integration opportunities.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

Lead the design and implementation of advanced ML models for autonomous driving, collaborating with teams, mentoring engineers, and driving technical initiatives.

Develop high-performance Android software for automotive user experiences, focusing on infotainment systems and digital displays, while optimizing performance and integrating with embedded platforms.

Lead and grow an embedded platform OS and drivers engineering team responsible for BSP, kernel, HAL, and device drivers. Drive technical direction, platform bring-up, integration, debugging, performance optimization, quality, release readiness, and cross-functional delivery while mentoring engineers and coordinating with hardware, systems, validation, product, and program teams.

Lead design and implementation of observability and developer productivity tooling for autonomous vehicle engineering. Build and maintain distributed systems, observability pipelines, and cloud-native tooling; influence technical roadmap; perform code reviews and PoCs; partner with engineering teams to improve developer workflows; balance technical debt; and mentor and grow engineers across the organization.

Develop high-fidelity, high-performance simulation scenarios and a gym environment for RL training to validate autonomous driving software. Collaborate across large engineering teams to improve developer experience, drive continuous delivery, and integrate simulation with the autonomy stack.