Research Staff Member Neuromorphic Compute

You will be part of a world class research team developing the building blocks of future storage systems sensors and AI hardware. The team is exploring a diverse range of enabling technologies based on magnetic tunnel junctions resistive RAM and selectors and determining the architectures needed to incorporate these components to make compelling products.

The key responsibility of the role is to provide guidance for future research directions and create demonstration prototypes supporting the continuation of these initiatives. For this position we are particularly in the neuromorphic compute applications : the use of nonvolatile memories (NVM) as synthetic neurons in deeplearning applications. Design proposals should reflect the companys strategic goals in creating new AI or memory systems and be based on surveys of academic literature the needs of our university partners or internal stakeholders.  From there you will work with the team to establish architectural specifications for each prototype implement and validate your electronics designs through the statistical evaluation of candidate NVM material stacks modelling of the efficacy of each material as it impacts inference or training accuracy and the creation of FPGAbased PCB designs.  Once the proposed system has been realized you will test and evaluate your AI systems in the lab issue recommendations for future studies or prototypes and publish any significant findings in academic journals.

Qualifications :

• Ph.D. in Computer Science Electrical Engineering or a related field
• Proven track record in neuromorphic computing research with a strong publication history in relevant scientific journals and conferences
• Advanced knowledge of neuromorphic computing principles and braininspired computing architectures
• Experience in NVM device characterization with a particular emphasis on creating functional neuromorphic systems.
• Expertise in artificial neural networks and machine learning algorithms particularly those involving quantizationaware training (QAT) Activationaware Weight Quantization (AWQ) and noise aware training.
• Expertise in modelling NVM device defects and their impact on systemlevel AI inference and training using tools such as NeuroSim or any other customized AI framework (e.g. customizations of publicaly available PyTorch / Huggingface models)
• Strong statistical skills including the ability to generate a device noise model from laboratory data combined with a proposed system architecture.
• Proficiency in programming languages such as Python and C
• Experience with hardware description languages (e.g. VHDL Verilog)
• Experience with common FPGA tool chains and related systems for embedded firmware development (e.g AMD Vivado FPGA design tools with the PYNQ firmware framework).
• Demonstrated ability in designing and implementing neuromorphic systems with a particular emphasis on bringing up novel and complex laboratory systems.
• Strong mathematical and analytical skills for modeling complex systems
• Excellent problemsolving skills and attention to detail
• Strong communication and collaboration skills for working in a multidisciplinary research environment
• Familiarity with cognitive neuroscience principles is preferred

Starting jobLevel and compensation may vary depending on the breadth of the candidate experience and the number of years of postgraduate work experience.

Additional Information :

Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race color ancestry religion (including religious dress and grooming standards) sex (including pregnancy childbirth or related medical conditions breastfeeding or related medical conditions) gender (including a persons gender identity gender expression and genderrelated appearance and behavior whether or not stereotypically associated with the persons assigned sex at birth) age national origin sexual orientation medical condition marital status (including domestic partnership status) physical disability mental disability medical condition genetic information protected medical and family care leave Civil Air Patrol status military and veteran status or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our nondiscrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster.

Western Digital thrives on the power and potential of diversity. As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution.

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LITD1

Remote Work : Employment Type :

Fulltime

Key Skills

Customer Service,Airport Security,ABAP,Art And Craft,Computing,Inventory Management

Experience : years

Vacancy : 1