Staff/Sr. Staff AI Infra Development Engineer

JOB DESCRIPTION

About NIO

NIO is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIO’s mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.

NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS.

NIO’s product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6, a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET7, a smart electric flagship sedan, and the ET5, a mid-size smart electric sedan.

Overview:

NIO is a global company with R&D offices in China, North America, Germany, and UK. NIO is the leader of intelligent Electronic Vehicle (EV) industry in China, which is the largest, fastest growing EV market in the world, and is also rapidly expanding its business worldwide.

Digital Systems department at NIO is responsible for building highly reliable, secure, and scalable infrastructure and platforms for intelligent and fully autonomous driving vehicles, and its scope ranges from vehicle operating system software platform, central computer and SOA-based digital architecture, automation simulation test platforms, cyber security, vehicle cloud & connectivity.

A primary mission of Digital Systems North America R&D Center is to lead the research and development of industry-leading operating systems for autonomous driving vehicles (NVOS – NIO Vehicle Operating System) from the ground up. This is an opportunity to solve a wide range of technical challenges, such as building a high-performance & secure OS based on microkernel architecture, deeply customized Linux and in-house network core stacks / tool chains for automobile-grade safety, seamless app development on heterogeneous hardware chipsets, low-latency and high throughput network and data processing, powerful AI framework, and complete toolchains to supply Android-like development experiences.

Responsibilities:

• Architect technical solutions that help us deliver AIOS foundation capabilities in SkyOS across ECU domains.
• Lead the proof-of concept development to evaluate the architectural designs in terms of functionality, performance, security and dependability
• Partner with Engineering teams to understand real-world constraints and to support the high quality implementation of AIOS designs for product development, validation and integration. Define the evolution roadmap for AIOS solutions.
• Define and deliver requirements for development team.
• Follow industry trends and study competitors' technical stacks.

Qualifications:

• 4+ years of experience in software design and development for AI model training, and/or inference optimization, and deployment.
• In-depth knowledge and hands-on experience in the latest AI model architectures used in the industry and research areas, e.g. Transformer.
• Solid experience in GPU/NPU architectures and toolchains, AI training frameworks such as PyTorch / TensorFlow / etc.
• 7+ years development experience of building complex software systems.
• Proficient C/C++ programming and Python.
• BS / MS in Electrical Engineering, Computer Engineering, Computer Science or equivalent.
• Excellent communication skills, and technical writing proficiency.
• Organized mindset, and passionate about delivering high-quality software.

Preferred Qualifications:

• Masters degree + 3 years of relevant industry experience, or Ph.D. degree in computer science, artificial intelligence, or related fields.
• Experience in performance tuning & inference optimization techniques of deep learning models or libraries on hardware architectures.
• In-depth knowledge of computer architectures, CPU / MPU, GPU / NPU.
• Solid understanding of embedded / mobile operating systems.
• Familiar with microkernel architecture, Linux kernel, hypervisor, middleware, and application framework.

Compensation:

The US base salary range for this full-time position is $192,100.00 - $249