Sr/Staff AI Infrastructure Engineer
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Requirements
- Masters degree + 3 years of relevant industry experience, or Ph.D. degree in computer science, artificial intelligence, or related fields.
- Experience building ComfyUI extension or Python native apps using SDXL
- Understanding of hardware acceleration(Stable Diffusion, SAM, Mistral, Groq, etc)
- Familiar with LLM and optimization on resource constrained edge devices for inferences
- 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.
Benefits
Additional Information
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. JOB DESCRIPTION Roles and Responsibilities: Architect technical solutions that help us deliver AIOS foundation capability 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. Must Qualifications: 3+ 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. Experience building at least one public AI extension/application/project Experience with cloud infrastructure and training (Azure, AWS, etc.) CI/CD experience (Gitlab, GitHub, Jenkins etc) 3+ years experience working in ML infra 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.
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