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Machine Learning and Physical Design Research Scientist (Remote)
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Job CodeJR0207132
Supports software development and engineering of new artificial intelligence, machine learning, and deep learning products and technologies for the enterprise through research, leading to new or improved software products. Researches technological trends and advancements, recommending strategic product enhancements to ensure product relevancy and support revenue growth. Collaborates with industry and academies, participates in industry standard definition, collaborates with product managers and technical groups to address important customer issues, and finds innovative solutions to difficult problems for midterm or long term time frames. May research to define boundaries, create proof of concepts, or prototype new ideas.
This is an entry level position and will be compensated accordingly.
Qualifications
You
must possess the below minimum qualifications to be initially
considered for this position. Preferred qualifications are in
addition to the minimum requirements and are considered a plus
factor in identifying top candidates. Experience could be obtained
through a combination of prior education level classes, and current
level school classes, projects, research, and relevant previous job
and/or internship experience.
Minimum
Qualifications:
The candidate must possess a Master's degree or PhD degree in Computer Science, Electrical Engineering or related fields
1+ years of experience in below areas:
- Demonstrable experience designing and training deep learning, reinforcement learning and other machine learning techniques
- Demonstrable experience with DL, ML frameworks like PyTorch and Tensorflow
- Familiarity
with VLSI design fundamentals such as circuit design, physical
design, and HDL languages like Verilog
Preferred Qualifications:
- Original contributions to machine learning in the form of peer-reviewed publications at top-tier conferences or journals
- Domain expertise in physical design - e.g., synthesis, floor-planning, placement, static timing methodology
- Industry standard EDA tools or open-source tools such as OpenROAD
- Machine Learning techniques like Deep Reinforcement Learning to problems in physical or circuit design
- Deploying, running and using distributed systems for Deep Reinforcement Learning
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.
Other
Locations
US, California, Santa
Clara;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:
$149,020.00-$223,560.00
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.
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