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Deep Learning Hardware Engineer
Intel · Santa Clara, CA · Posted 14 days ago
Job Description: The Role and Impact Intel's Client AI Architecture team is seeking an Deep Learning Hardware Engineer to help shape future generations of Intel's Neural Processing Unit (NPU) architecture for AI PCs, Edge AI, Agentic AI, Physical AI, and multimodal foundation models.
In this role, you will work at the intersection of AI, computer architecture, and hardware-software co-design to optimize AI workloads and drive innovations in next-generation AI acceleration technologies. You will collaborate with architecture, software, compiler, and machine learning teams to develop high-performance, power-efficient AI solutions for Intel client platforms.
The ideal candidate has experience developing, optimizing, or deploying AI workloads on NPUs, GPUs, AI accelerators, or related computing architectures. Experience with Intel NPUs, OpenVINO, AI software stacks, compiler technologies, AI inference optimization, and hardware-software co-design is highly desirable.
What You’ll Do Key responsibilities will include but not limited to:
- Contribute to the design and optimization of neural compute and AI accelerator architectures.
- Develop and evaluate RTL implementations of hardware features supporting machine learning workloads.
- Analyze AI models and workloads to identify performance, power, and efficiency opportunities.
- Partner with architecture, software, and algorithm teams to define future hardware capabilities.
- Support hardware-software co-design efforts to optimize AI solutions across the technology stack.
- Evaluate neural network mapping strategies for accelerated inference execution.
- Apply optimization techniques such as quantization, compression, pruning, and sparsity to improve AI efficiency.
- Utilize computer architecture principles including pipelining, parallelism, memory hierarchy, and data movement optimization.
- Participate in technical innovation activities, including invention disclosures, patents, conference papers, and publications.
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This posting is sourced from Intel's own career site — applying takes you there directly.
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This role is one of 13 Hardware Engineer openings in Santa Clara, CA and centers on Rtl Design, Systemverilog, Verilog, and Digital Logic Design. There are 928 open roles at Intel right now.
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