Senior Neuromorphic Processor Design Engineer
Virtual - USA AZ
Job Description:
Neuromorphic computing takes inspiration from biological systems to realize vastly more efficient and adaptable AI than what is possible with today's conventional computing architectures. At the hardware level, gains are achieved by applying neuro-inspired principles such as asynchronous event-based operation, integration of memory and compute, and massive parallelism. Intel's Loihi series of neuromorphic processors have advanced the frontier of application research with over 100 peer-reviewed publications from a Loihi developer community comprising over 250 research groups worldwide. These results confirm the promise of the technology to bring breakthroughs in energy efficiency and performance to AI tasks spanning perception, planning, learning, and control from the edge to the data center.
As a Senior Neuromorphic Processor Design Engineer, your primary responsibilities include:
- Define the microarchitecture and implement designs for Intel’s next-generation neuromorphic cores, chiplets, and IP.
- Utilize standard RTL languages like Verilog, and be open to learning proprietary languages used for asynchronous design.
- Collaborate with a small, elite team of design, verification, and EDA engineers who contribute across all levels of silicon engineering and have pioneered asynchronous and neuromorphic design.
- Work with an interdisciplinary team of system and software architects, AI framework developers, application engineers, and algorithms researchers to advance Intel’s neuromorphic technology from the lab to a wide range of commercial products.
- Rapidly learn new design skills and computing concepts due to the novel properties of neuromorphic computing. A passion for innovation and a strong eagerness to learn are essential for success in this role.
Qualifications:
You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
- Bachelor’s Degree with 6+ years of experience, or Master’s Degree with 4+ years of experience in Computer Science or other STEM related field.
- 6+ years of experience in circuits, RTL, and microarchitecture design of ASICs, SoCs, and processors.
- 5+ years of experience developing new high-performance RTL-level designs.
- 1+ years of experience leading IP-level microarchitecture definition.
Preferred Qualifications:
- PhD with publications in relevant fields such as circuit/silicon design, hardware modeling, design methodologies, or AI.
- Experience with quantitative power/performance/area modeling.
- Experience with non-standard design methodologies, especially asynchronous design.
- Experience with high-level synthesis tools and novel HDLs such as SystemC, Chisel, or CAST.
- Experience with AI hardware design, deep learning, and AI workload compute dataflow.
- Experience with software programming in C/C++ or Python.
Job Type:
Experienced HireShift:
Shift 1 (United States of America)Primary Location:
Virtual USAdditional Locations:
Business group:
Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of Trust
N/ABenefits:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here: https://www.intel.com/content/www/us/en/jobs/benefits.html
Annual Salary Range for jobs which could be performed in the US:
$144,501.00-$217,311.00Salary range dependent on a number of factors including location and experience.
Work Model for this Role
This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.The application window for this job posting is expected to end by 10/29/2024 ApplyJob Profile
Virtual - USA AZ
Benefits/PerksBonuses Competitive pay Retirement Stock Total compensation package Vacation
Tasks- Collaborate with interdisciplinary teams
- Define microarchitecture
- Implement designs for neuromorphic cores
- Learn new design
- Rapidly learn new design
AI AI frameworks AI workload compute dataflow Algorithms ASIC design Asynchronous design C C++ Chisel Computer Science Data center Deep Learning High-level synthesis Microarchitecture design Modeling Neuromorphic computing Planning Programming Python RTL SoC design SystemC Verification Verilog
Experience6 years
EducationBachelor's Business Computer Science Engineering Master Master's Ph.D. Related Field STEM
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9