The AI Engineer will research AI advancements, implement generative AI solutions, optimize AI models, mentor junior engineers, and collaborate on technical projects.

The Sr. AI Infra Development Engineer will architect technical solutions, lead proof-of-concept developments, and collaborate with teams to enhance AIOS capabilities across domains.

The role involves architecting AI solutions, leading proof-of-concepts, collaborating with engineering teams, and defining requirements for AIOS developments.

Lead technical research on software safety and stability, design safety architecture, analyze software failures, develop safety mechanisms for RT-Linux/Microkernel systems.

The Sr AI Infra Development Engineer will architect AIOS solutions, lead proof-of-concept development, partner with engineering teams, and define requirements for AI model training and optimization.

Design and implement a microkernel-based OS for autonomous vehicles, focusing on low latency and high performance, while mentoring team members.

The role involves developing GPU virtualization solutions for vehicles including software architecture, performance optimization, and collaborating with engineering teams. Strong GPU and Linux expertise are essential.

The intern will research and optimize Large Language Models for deployment in automotive environments, collaborating with cross-functional teams on model integration and performance enhancement.

Design and implement a microkernel-based OS and hypervisor for autonomous driving vehicles, focusing on performance, security, and safety while mentoring team members.

Design and implement microkernel-based OS for autonomous driving applications, optimize OS and networks, mentor team members, and troubleshoot systems.

Architect technical solutions for AIOS foundation capability, lead proof-of-concept development, support implementation of AIOS designs, and track industry trends.

Conduct research to optimize Large Language Models and multimodal models, focusing on their deployment in automotive applications while collaborating with cross-functional teams.

Conduct research to optimize Large Language Models and deploy them efficiently in vehicles. Collaborate with teams and manage model lifecycle from research to deployment.