Research Associate, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
United States, Milpitas

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

43.27 - 93.15 USD / Hour

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Job Description:

The role involves accelerating research towards new applications, core methodologies, and technologies in Artificial Intelligence at HPE Labs, focusing on areas such as Deep Learning, Machine Learning, Silicon-Photonics, Optimization, and Quantum-Inspired applications, with an emphasis on designing and evaluating high-performance accelerators combining CMOS and emerging ReRAM device technologies for computing applications.

Job Responsibility:

Investigation of high-performance accelerators which combine CMOS and emerging ReRAM device technologies (or memristors) for computing applications including machine learning, neuromorphic computing, network security, finite automata, and other novel computational models
Design of prototype systems and/or integrated circuits
Invention of new architectures, circuits, and/or devices to take advantage of physical hardware systems for acceleration of target computations
Operation of existing hardware platforms
Performance evaluations with competing systems
Provide thought leadership and technical influence both internally and externally to HPE
Contribute along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Collaborate with HPE Labs research teams as well as with external partners
Work in alignment with HPE's broader innovation community

Requirements:

Pursuing a PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. electrical engineering, computer science, machine learning, applied physics, mathematics, statistics, etc.)
Track record of world-class innovative contributions and ideas in AI/ML and/or related areas
Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer
Experience with in-memory computing accelerators
Experience with micro architecture design for custom accelerators
Experience in deep learning research, algorithms, and data structures
Experience in design and test of custom integrated circuit IP for AI/ML applications
Experience with emerging analog memory devices for computing applications such as memristor, ReRAM, PCM, and others
Experience in system software, GPU acceleration, DL model execution and performance optimization
Self-motivated, proactive, with leadership qualities
Ability to work with ambiguity
Demonstrated effective communication and collaboration skills
Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals

Nice to have:

Accountability
Action Planning
Active Learning
Active Listening
Bias
Business
Calendar Management
Coaching
Computer Literacy
Creativity
Critical Thinking
Design Thinking
Empathy
Follow-Through
Group Problem Solving
Growth Mindset
Intellectual Curiosity
Long Term Planning
Managing Ambiguity
Policy and procedures
Recordkeeping
Risk Assessment
Software Development

What we offer:

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Programs catered to helping employees reach career goals
Unconditional inclusion in work environment

Additional Information:

Job Posted:
November 02, 2025

Expiration:
May 26, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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Research Associate