
High-Performance Machine Learning Engineer
17 hours ago
We are seeking a highly skilled engineer to join our team at the forefront of AI development, impacting our products. Responsibilities include developing scalable, high-performance solutions for mapping and implementing machine learning workloads on current and future hardware.
Key Responsibilities- Develop analytical models of compute and data movement for performance-optimized machine learning workload mapping onto architectures like NPU and GPU.
- Apply software engineering skills to enhance performance optimization techniques within projection tools.
- Utilize performance projection tools to evaluate machine learning workloads on target hardware.
- Engage with internal teams and customers for technical collaboration.
- Stay informed on trends in machine learning models, software stacks, and hardware architectures.
- Proficiency in Python and C/C++ programming.
- Deep understanding of machine learning algorithms, frameworks (e.g., PyTorch, ONNX), and model representations.
- Experience in analytical modeling of machine learning operators regarding compute and data movement.
- Background in optimization libraries and solvers like PuLP, CBC, Gurobi is advantageous.
- Effective communication and problem-solving skills.
- Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related fields.
We offer a comprehensive benefits package that includes competitive pay, opportunities for professional growth and development, and a collaborative work environment.
We are an equal opportunity employer and welcome applications from diverse candidates. We will accommodate applicants' needs throughout the recruitment process.
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