Client Overview
Client is building the first latency optimized SoC for their industry. Using its proven AI accelerator designs, client is targeting best in class latency with order of magnitude improvements for years to come.
Low Latency has become the key enabler for this industry and other real-time application and the current industry’ state-of-the art is just not up to the task. Client has been developing its Neural Net Engines accelerators, optimizing it for Latency and achieving the best LPPA (Latency, Performance, Power, Area) in the field. They are now building the corresponding SoC, to deliver unrivaled products to mission-critical and real-time applications.
This is a fast-paced, intellectually challenging position, and you will work with a talented team driven by innovation and excellency. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve the products' performance, quality and cost.
Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.
We’re changing the meaning of low latency and we want individuals ready to rise up to the challenge and take the industry by storm.
Job Responsibilities
Required Skills
BS / MS Degree in Computer Science or Engineering with MBA or equivalent work experience in a Technical Marketing role.
Previous experience in a Technical Marketing role in the field of autonomous driving / ADAS required
Experience defining product requirements for ADAS / AD SoCs and systems
Strong experience successfully communicating with customers to understand underlying feature demand and trends
Strong foundation in SoC architecture, chip definition
Proven track record on several successful production tape outs for large scale systems in the required field.
Solid knowledge of Memory systems (DDR, caches, coherency), NoCs / interconnect both coherent and non-coherent, sensors and peripherals for autonomous driving scenarios on heterogenous systems (CPU clusters, GPU, accelerators)
Cross-discipline experience with understanding of HW / SW / System level interactions.
Exceptional written and verbal interpersonal skills, ability to release collateral and technical presentations
Additional Desirable Skills and Experience
Previous experience at a major company involved in ADAS (Nvidia, MobileEye, Qualcomm etc.) a big plus
Knowledge ML / AI Accelerators a plus
Featured benefits
Medical insurance
Vision insurance
Dental insurance
401(k)
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Technical Marketing Engineer • San Jose, CA, United States