Deep Learning Hardware Engineer

2 Hours ago • 5-10 Years • $211,820 PA - $299,040 PA

Job Summary

Job Description

As a Deep Learning Hardware Engineer, you will be responsible for designing and architecting AI/DL inference solutions on Intel NPU. This includes identifying, evaluating, and developing RTL prototypes to improve performance. You will collaborate with various teams on hardware-software co-design, and influence research in Artificial and Deep Learning. This also involves patenting innovative ideas. This role requires strong problem-solving, communication, and teamwork skills, as well as the ability to adapt to a dynamic environment. The role will involve driving NPU architecture, hardware design, analysis, and optimization activities.
Must have:
  • Digital Logic Design / RTL Design experience using System Verilog/Verilog
  • 3+ years of experience in HW Architecture
  • 2+ years of experience in the AI/DL domain
Good to have:
  • Experience in AI model architectures, layer types, ops, and activation functions.
  • Experience with AI framework, AI models, and basic neural computing operations.
  • Experience with various techniques to optimize models for compute/perf (quantization, compression, sparsity, pruning, low precision).
  • 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.
  • Hands-on experience working with Git (PR/MR workflows with GitHub or any Gitlab repos).
  • Hands-on work experience of working with modern DL topologies (CNNs, Transformers, LLM, SSM, etc).
  • Experience in mapping between Neural Networks architectures and hardware accelerated inference.
Perks:
  • Competitive pay, stock, bonuses
  • Health, retirement, and vacation benefits

Job Details

Job Details:

Job Description: 

Come and join us. Intel is seeking highly qualified candidates to join the Client Graphic and AI group, which is part of Client Computing Group (CCG) as a Deep Learning Hardware Engineer. The Intel NPU IP team is looking for a Deep Learning HW Architect and Designer to drive NPU architecture, HW design, analysis, and optimizations activities. 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 AI product map.

As a Hardware Deep Learning Engineer, you will be responsible for, but not limited to:

1) Design Space Architectural Exploration for AI/DL Inference on Intel NPU

2) Identify, evaluate, and develop RTL prototypes of key architectural features that improve the PPA of the NPU IP.

3) Support cross divisional collaboration between NPU 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.

4) 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.

5) Patent and publish key innovative ideas (An important aspect of the work and necessary for protecting our Intel's IP).

In addition to the qualifications listed below the ideal candidate will also have:

1) Problem-solving skills.

2) Excellent verbal and written communication skills.

3) A team player and flexible to adapt to a dynamic work environment with rapidly changing priorities.

4) Self-motivated and proactive with independent thinking mindset as an architect.

Qualifications:

Minimum Qualifications:

Bachelor's degree in Computer Science, Electrical Engineering, or related field with 10+ years of experience or Master's degree in Computer science, Electrical Engineering with 7+ years of experience or a PhD degree in Computer science, Electrical Engineering with 5+ years of experience. The industry experience must be in Digital Logic Design / RTL Design using System Verilog and/or Verilog.

Additionally:

3+ years of experience in HW Architecture

2+ years of experience working in the AI/DL domain.

Preferred Qualifications:

1) Experience in AI model architectures, layer types, ops, activation functions.

2) Experience with AI framework, AI models, and basic neural computing operations.

3) Experience with various techniques to optimize models for compute/perf (quantization, compression, sparsity, pruning, low precision).

4) Experience in computer architecture concepts such as pipelining, caching, parallel computing with SIMD/VLIW, multi-core/multi-threading, data precision, memory hierarchy.

5) Experience with data precision, floating point vs. fixed point computing trade-offs.

6) Hands-on experience working with Git (PR/MR workflows with GitHub or any Gitlab repos).

7) Any hands-on work experience of working with few of the modern DL topologies (CNNs, Transformers, LLM, SSM, etc).

8) Experience in mapping between Neural Networks architectures and hardware accelerated inference.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location: 

US, California, Santa Clara

Additional Locations:

US, Arizona, Phoenix, US, California, Folsom, US, Oregon, Hillsboro

Business group:

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

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/A

Benefits:

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://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003

Annual Salary Range for jobs which could be performed in the US:

$211,820.00-$299,040.00

Salary range dependent on a number of factors including location and experience.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

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About The Company

Intel provides reasonable accommodation to applicants and employees. For more information on our Reasonable Accommodation process, please clickhere.When you use this site, Intel Corporation uses cookies to improve your online experience. For more information, visit ourCookie Notice.To view our candidate privacy notice, please clickhere.

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