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ARM Senior Principal Engineer United States, Washington, Seattle 150758778
25.03.2025
Responsibilities
- Design and optimize AI and machine learning infrastructure for Arm-based platforms, ensuring high efficiency and scalability.
- Work on on-device AI acceleration, optimizing LLMs, computer vision, and deep learning models for Arm hardware.
- Lead the AI/ML developer API strategy, enhancing tools and frameworks (e.g., TensorFlow Lite, PyTorch) for seamless AI deployment.
- Enable AI hardware acceleration on Arm-powered GPUs, TPUs, and NPUs, improving inference speed and energy efficiency.
- Work closely with hardware engineers, software developers, and AI research teams to drive ML innovation.
- Develop scalable AI solutions that integrate across mobile, edge, and cloud environments, ensuring industry-wide adoption.
- Provide technical leadership and mentorship to junior engineers, fostering innovation in AI-driven computing.
- Stay ahead of industry trends, contributing to AI research, publications, and open-source initiatives to enhance Arm’s ML capabilities.
- Education: Master’s or Ph.D. in Computer Science, AI/ML, or a related field.
- Experience: 10+ years in AI/ML software engineering and system architecture, with a strong focus on AI deployment and optimization.
- Technical Expertise:
- Strong proficiency in AI/ML frameworks (TensorFlow, PyTorch, ONNX).
- Experience in AI model compression, quantization, and distillation for edge deployment.
- Deep understanding of LLMs, transformers, and computer vision architectures.
- Familiarity with ML infrastructure, compilers (TVM, MLIR), and distributed training techniques.
- Leadership & Problem-Solving:
- Proven ability to lead large-scale AI initiatives, balancing technical innovation with business impact.
- Strong multi-functional collaboration skills to bridge AI, software, and hardware teams.
- Experience in AI-driven developer ecosystems, improving AI tooling and frameworks.
- Strong background in AI hardware/software co-optimization, particularly on Arm architectures.
- Open-source contributions or published research in top-tier AI conferences.
- Lead AI innovation for one of the world’s most influential semiconductor companies.
- Work on cutting-edge AI models and ML infrastructure, shaping the future of AI computing.
- Be part of a diverse, high-impact team driving AI acceleration across industries.
Salary Range:$273,020-$369,380 per year
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