Job Description

Experience Range: 15+ years of deep expertise in edge AI, with a proven history of shaping company-wide or industry-level technical directions in productive neural inference across multiple hardware platforms.

As a senior staff-level individual contributor and strategic technical authority, you will set the multi-year vision for Lattices edge AI capabilities, primarily through sensAI on Lattice FPGAs but extending to influence and provide solutions for broader edge ecosystems (including NXP processors/NPUs and other accelerators).

You will solve the most ambiguous, cross-organizational challenges in ultra-efficient edge inference, drive transformative advancements (next-gen hardware-aware co-design, revolutionary compression paradigms), mentor staff/senior engineers.

Key Responsibilities

Define and champion the 3 5+ year technical vision for edge inference model architectures, optimization paradigms, compiler/ML hardware co-design, and ecosystem strategy primarily for Lattice sensAI, with extensions to other platforms (e.g., NXP NPUs, Arm-based systems)





Lead high-impact, ambiguous initiatives spanning hardware, compiler, software, and product teams.

Architect and drive adoption of groundbreaking techniques: hardware-aware NAS, quantization, dynamic/sparse inference, automated co-design flows for multi-platform deployment

Serve as technical expert, aligning ML strategy with company business goals, hardware roadmaps (Lattice and partners), and long-term competitive positioning. Mentor staff and senior ML engineers, fostering a culture of technical excellence and innovation in cross-platform edge AI.

Identify and resolve the most complex, organization-spanning bottlenecks in edge inference performance/power/accuracy across Lattice FPGAs and other accelerators.

Own strategic evolution of the sensAI Model Zoo as a flagship industry resource (ecosystem partnerships, standardization, open benchmarks with support for NXP and similar platforms).

Gui

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