Jobs at NIO

The AI Robotics Research Intern will focus on dexterous manipulation, utilizing large-scale data to improve robotic behaviors through human interaction insights. Responsibilities include developing scalable frameworks, processing data, and optimizing robotic policies for physical deployment.

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

The Data Analysis Intern will preprocess and analyze training data for LLM projects, assist in training language models, and develop Python code to interact with APIs.

The AI Robotics Researcher will conduct research in embodied AI, robotic manipulation, and world modeling, developing models and algorithms for dexterous robotic systems while collaborating to translate research into practical implementations.

The role involves automating testing for automotive software, developing scalable test frameworks, managing CI/CD pipelines, and collaborating with cross-functional teams to ensure quality software delivery.

The Senior OS/Kernel Engineer will design and develop NIO's vehicle operating systems, optimize system performance, and collaborate with engineering teams on production quality software.

The Staff System Engineer will conduct research on systems software, design components, and optimize performance for NIO's vehicle operating systems.

Lead the architectural design for AI hybrid inference systems, mentor team, and guide development of high-availability orchestration engines while driving innovation.

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

The AI Research Engineer designs and optimizes AI systems for enterprise automation, collaborating across teams to improve efficiency and decision-making.

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.