Senior Machine Learning Hardware Design Consultant

DeWinter BH; San Jose (CA); On-site; USD 165,000 - 248,000; Full time

Job summary

DeWinter Group is seeking a Senior Machine Learning Hardware Design Consultant to help design and implement high-performance ML accelerator core logic. The role interfaces with hardware engineering and physical design teams to meet timing closure and QOR targets.

The ideal candidate has deep digital hardware skills, ML-focused hardware experience, and strong mathematical intuition for ML/DSP workloads. This is a senior consulting role requiring practical implementation expertise.

Qualifications

• Strong digital hardware and logic design fundamentals.
• Experience with ML-related hardware or algorithms.
• Strong understanding of ML, graphics, or DSP mathematics.
• Ability to implement complex algorithms in hardware.

Responsibilities

• Design and implement complex core logic for ML hardware.
• Collaborate with hardware and physical design teams to optimize performance, timing, and QOR objectives.

Skills

Digital hardware design

ML hardware experience

ML/DSP math

Algorithm implementation in hardware

Job description

Senior Machine Learning Hardware Design Consultant

Overview

Join a specialized hardware engineering team developing the next generation of machine learning accelerator IP. As a Senior Machine Learning Hardware Design Consultant, you will design and implement complex core logic that enables high-performance ML hardware. This role is ideal for an experienced digital hardware designer who can translate mathematically complex algorithms into efficient, high-quality hardware implementations.

You will collaborate closely with hardware engineering and physical design teams to optimize performance, achieve timing closure, and meet demanding Quality of Results (QOR) objectives. This is a specialized hardware design role focused on ML accelerator architecture and implementation - not a machine learning software position.

Required Skills

• Strong digital hardware and logic design fundamentals
• Several years of experience working with machine learning-related hardware or algorithms
• Strong understanding of the mathematics underlying machine learning, graphics, and/or digital signal processing algorithms
• Demonstrated ability to implement complex algorithms or computational features in hardware etc.