Top Tech Jobs & Startup Jobs

The Sr/Staff AI Infrastructure Engineer will architect solutions for AIOS, lead proof-of-concept developments, partner with engineering teams, and define the evolution roadmap for AIOS. Responsibilities include collaborating on product development and integration while delivering requirements for the development team and staying updated on industry trends.

Design and implement a microkernel-based OS for autonomous driving applications. Develop low latency network core stacks and system tool chains. Optimize OS functions for performance and security while mentoring team members during the process.

The Sr. Staff GPU Virtualization Software Engineer will architect and develop high-performance GPU virtualization solutions for vehicles, focusing on technical advancements in display and graphics with QEMU. Responsibilities include partnering with engineering teams, optimizing software performance, and delivering GPU virtualization software on time with high quality.

The Sr AI Infra Development Engineer will architect solutions for the AIOS foundation, develop proof-of-concepts, collaborate on AI designs for product development, and define the evolution roadmap for AIOS solutions. They require expertise in AI model training, cloud infrastructure, and software development.

The role involves designing and implementing a microkernel-based OS for autonomous driving vehicles, optimizing OS and network core functions, and mentoring team members. Responsibilities also include developing low-level system code on ArmV8 platforms and contributing to fast diagnostics and troubleshooting tools.

Design and implement a microkernel-based operating system and hypervisor for autonomous driving vehicles. Optimize OS functions for performance, security, and safety, while mentoring team members and collaborating on design implementations.

The intern will research and optimize Large Language Models for deployment in automotive technology, collaborating with teams to integrate these models into real-world applications, focusing on improving their inference efficiency on diverse hardware systems.