Job Description

The Intel Movidius VPU HW Engineering team is looking for a Senior Deep Learning Architect to drive VPU architecture, design, analysis and optimizations activities. In this position, you will function as a technical leader on the Advanced Architecture team and you will impact and influence the Artificial Intelligence product roadmap and development based on profound comprehension of Artificial Intelligence and Deep Learning algorithms, Deep Learning customer requirements and Deep Learning software frameworks. Your contribution will immediately impact current and future products on Intel's Client and IOT division's product map.

Your individual responsibilities include but are not limited to:

• Develop Augmented Intelligence (AI + domain expertise) based solutions to drive holistic design optimization decisions during architecture and design phases of client products
• Understand and analyze DL methods, map network architectures to HW architecture and identify Architecture/Performance improvement opportunities. (OR translate it to architecture/performance feature/spec).
• Support cross divisional collaboration between VPU teams on modeling, validation, hardware-software co-design and backend activities to develop and deliver innovative hardware architectures for the next generation neural compute IP.
• Collaborate with the Workload and Algorithm teams to analyze next generation requirements and opportunities, influence and guide research and academic collaboration in the space of Artificial and Deep Learning.
• Patent and Publish key innovative ideas (An important aspect of the work and necessary for protecting our Intel's IP).

The ideal candidate should be self-motivated and proactive with independent thinking mindset as an architect. The candidate should also have good communication, team orientation, and flexibility to adapt to a dynamic work environment with rapidly changing priorities. Additionally, as a senior team member, the candidate also bears responsibility to define and articulate methodology as well as coaching junior team members.

In this position you will gain invaluable experience which will allow growth and expanded opportunities within this business group as well as future possible opportunities with other business groups within Intel.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Experience listed below would be obtained through a combination of your schoolwork, classes, research and or relevant previous job and or internship experiences.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field with 9+ years of experience in the following areas:
• Experience in Digital Logic Design / RTL Design using System Verilog and/or Verilog. Experience in designing ASICs and/or SoCs.
• Experience with AI/DL frameworks (Caffe/Tensor Flow/Keras/PyTorch), AI models and neural computing operations with hands-on work experience of working with few of the modern DL topologies (ResNet, mBERT, MobileNet or any GAN or NLP models).
• Experience in Python programming and C/C++ programming

Preferred Qualifications

• Master's Degree in Computer Science, Electrical Engineering or equivalent with 6+ years of experience.
• Ph.D. Degree in Computer Science, Electrical Engineering or equivalent with 4+ years of experience.
• Experience with AI model architectures, layers types, ops, activation functions.
• Experience with various techniques to optimize models for compute/perf (quantization, compression, sparsity, pruning, low precision).
• Experience of AI framework, AI models and basic neural computing operations.
• Experience in computer architecture concepts such as pipelining, caching, parallel computing with SIMD/VLIW, multi-core/multi-threading, data precision, memory hierarchy.
• Experience with data precision, floating point vs fixed point computing trade-offs.
• Experience in mapping between Neural Networks architectures and hardware accelerated inference.

Inside this Business Group

The Internet of Things Group (IOTG) consists of ~4700 dedicated employees across 25 locations across the world. IOTG drives significant growth in the Internet of Things (IoT) market, capitalizing on the inflection and creation of edge computing, leveraging smart, connected devices and artificial intelligence (AI) to enable partners to transform their businesses. IOTG's vision is to lead the industry and enterprises to enhance the way we live and work by making it easier to create exciting, new IoT/edge solutions. IOTG's strategy includes creating unique differentiated silicon to consolidate workloads at the Edge, investing in video and AI inference as the killer app for the Edge, creating new developer tools and ecosystems, and establishing a dedicated vertical consultative sales team to add value to our partners across many verticals.

Other Locations

US, Arizona, Phoenix;US, California, Folsom;US, Oregon, Hillsboro;Virtual US and Canada

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

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.

Annual Salary Range for jobs which could be performed in US, Colorado:
$187,370.00-$299,710.00

Benefits:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, and benefit programs. Find more information about our Amazing Benefits here

Work Model for this Role

This role is available as fully home-based and generally would require you to attend Intel sites only occasionally based on business need.

Intel is committed to a culture of accessibility. Intel provides accommodations to applicants and employees with disabilities. Find information and request accommodation here