N
$163,500 – $212,400
Listed on NIO’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NIO seeks an AI infrastructure engineer to architect foundational AI systems for autonomous vehicle platforms, designing solutions for model training and inference optimization across hardware domains. This role suits experienced systems engineers comfortable with cloud infrastructure, ML frameworks, and embedded optimization who want to work on cutting-edge autonomous driving technology.
Our summary, not NIO’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 3+ years AI model training or inference optimization and deployment
- Knowledge of modern AI architectures like Transformer
- Built at least one public AI project or application
- Cloud infrastructure experience (Azure or AWS)
- CI/CD pipeline experience (Gitlab, GitHub, or Jenkins)
- 3+ years ML infrastructure work (PyTorch or TensorFlow)
- 7+ years building complex software systems
- Proficient in C/C++ and Python
- Bachelor's or Master's in Electrical Engineering, Computer Engineering, Computer Science or equivalent
- Strong communication and technical writing skills
Nice to have
- Master's degree plus 3 years industry experience or Ph.D. in computer science or AI
- ComfyUI extension or SDXL native app development
- Hardware acceleration knowledge (Stable Diffusion, SAM, Mistral, Groq)
- LLM optimization for resource-constrained edge devices
- Performance tuning and inference optimization for deep learning on hardware
- Deep knowledge of CPU, GPU, and NPU architectures
- Embedded or mobile operating system understanding
- Microkernel architecture, Linux kernel, hypervisor, or middleware experience