The Systems Software Researcher conducts research on systems software, designs and implements components, and collaborates with teams to optimize performance and security for electric vehicles.

The Sr. AI/LLM Infrastructure SW Engineer will develop AI models, lead architectural evaluations, and define AIOS solutions in vehicles, necessitating teamwork and strategic planning.

Optimize Large Language Models for vehicle applications, focusing on algorithmic efficiency and deployment on distributed systems.

Responsible for architecting AIOS solutions, leading proof-of-concepts, collaborating with engineering teams, defining roadmaps, and delivering project requirements.

Design and implement microkernel-based operating systems for autonomous vehicles. Develop low-latency network core stacks, optimize for performance and safety, and mentor team members.

Architect technical solutions for AIOS, lead proof-of-concept developments, define AIOS evolution roadmap, and ensure high-quality implementation with engineering teams.

Design and implement microkernel OS and network stacks for autonomous driving vehicles, optimizing for performance, security, and safety. Mentor team members.

Optimize Large Language Models and multimodal models for efficient inference and deployment on heterogeneous hardware. Collaborate on integration into automotive applications.

Design and implement scalable inference systems for AI models, optimizing performance across various platforms while ensuring software quality and integration with hardware teams.