Leading the future in luxury electric and mobility by redefining luxury electric vehicles
Requirements
- 8+ years of experience in software engineering, with at least 3 years focused on AI/ML platform development
- Strong understanding and experience with QNX or Linux
- Hands on experience with C/C++
- Strong understanding of design and architecture patterns, unit test frameworks
- Strong understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, ONNX) and model optimization techniques
- Experience with performance profiling tools and techniques for AI workloads
- Experience in unit test frameworks
Responsibilities
- Design, development, Integration, verification & maintenance of Platform Framework components with focus on AI/ML for our next generation Digital Cockpit Platform
- Design and develop core components of the AI/ML platform, enabling efficient deployment of models across heterogeneous compute environments
- Lead the porting and optimization of AI/ML workloads to NPUs, ensuring high performance and low latency
- Collaborate with hardware vendors to integrate NPU drivers, SDKs, and tool chains into the platform
- Work closely with data scientists and ML engineers to support model training, quantization, and deployment pipelines
- Drive performance benchmarking, profiling, and tuning AI workloads on embedded systems
Other
- Bachelor’s or master’s degree in computer science, Electrical Engineering, or related field
- Ability to work in a fast-paced, collaborative environment
- Excellent problem-solving, communication, and leadership skills
