HPE Labs - Principal AI and Machine Learning Research Engineer

The Principal AI/ML Research Engineer leads research in architecture and algorithms for AI/ML, mentors junior researchers, and collaborates with teams to innovate and implement solutions. The summary above was generated by AI HPE Labs - Principal AI and Machine Learning Research Engineer

This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office., We expect all our researchers to provide thought leadership and technical influence both internally and externally to HPE, as well as take innovative ideas and make them real - contributing along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer. The ideal candidate can thrive in an applied research environment, balancing significant technical and scientific contributions with the ability to bring such contributions to practice through innovative solutions that address the needs of our customers and partners. We expect the successful candidate to collaborate with HPE Labs research teams as well as with external partners, and to work in alignment with HPE's broader innovation community. Excellent software systems building skills are a significant plus Role and Responsibilities

• Synthesize research directions and vision based on technology insight and tracking advances across academia and industry. Define, lead, and delegate research activities while also contributing directly to research results.
• Research, conceive, develop, and model new architectures for AI/ML accelerator integrated circuits (IC) via simulators or system coding/analysis. Research, conceive, develop, and evaluate algorithms for AI/ML workloads on accelerator ICs or hardware, particularly in the Analog In-Memory Computing architecture space, potentially utilizing hardware/software co-design techniques. Research, conceive, develop, and evaluate compiler and mapping operations for optimal assignment of computational workloads to accelerator hardware.
• As a member of a project team in a leadership role, conceive, architect, design, and test integrated circuit IP for AI/ML research test chips. Conceive, architect, and design test and system boards and software for IC characterization and application demonstration.
• Provide technical guidance and mentorship for junior researchers, interns, and postdocs. Collaborate with internal and external technology partners.
• Author and provide guidance on conference presentations and journal papers reporting on new research results. Drive technical innovation leading to invention disclosures and patent filings., As Branch Manager, you'll lead teams to deepen customer relationships, drive sales growth, manage performance, and ensure operational excellence while fostering a culture focused on customer needs and risk management. Top Skills: BankingFinancial Services Wells Fargo

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With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

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• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• PhD degree in Electrical Engineering, Computer Science, Data Science, or equivalent.
• 5+ years of experience in AI & Machine learning ( academic or industrial).
• Must have strong experience in analog in-memory computing research, computing in memory, or processing in memory.
• Work experience with resistive RAM (ReRAM or RRAM) as a non-volatile memory device
• Strong experience leading research projects.
• For candidates with only a Master degree, they must hold 10+ years experience in AI & ML research.

Preferred Skills

• 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 integrated circuit IP for AI/ML applications.
• Experience with emerging analog memory devices for computing applications such as RRAM, PCM, and others.
• Experience in system software, GPU acceleration, deep learning model execution and performance optimization.
• Experience working with FPGAs for emulation and system design.
• High level of creativity.
• Self-motivated and proactive, with strong leadership qualities.
• Ability to work with ambiguity.
• Ability to lead execution of complex projects.
• Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.

Additional Skills: Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

• United States of America: Annual Salary USD 160,000 - 303,000 in Colorado // 172,000 - 349,000 in California The listed salary range reflects base salary. Variable incentives may also be offered.", 3 Hours Ago Hybrid 27-41 Hourly Mid level 27-41 Hourly Mid level Fintech * Financial Services The Relationship Banker will engage customers to understand their financial goals and provide tailored banking solutions, while managing service requests and fostering long-term relationships. Wells Fargo

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE., The Emerging Accelerators Team within HPE Labs has an immediate opening for a Principal AI/ML Engineer. HPE Labs is an international research organization with its headquarters and largest facility located in Milpitas, California. As the central research organization for Hewlett Packard Enterprise (HPE), HPE Labs' purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for the company, by investing in fundamental science and technology in areas of interest to HPE and getting the resulting technologies ready for adoption into new and existing markets., HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.