Hewlett Packard Labs - Scientific Machine Learning Research Engineer at Hewlett Packard Enterprise Company in Milpitas, California

Job Description:

Hewlett Packard Labs - Scientific Machine Learning Research Engineer

This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.

Who We Are:

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 diverse 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.

Job Description:

Role and Responsibilities

The Large-Scale Integrated Photonics Laboratory at Hewlett Packard Labs has an immediate opening for a research engineer with background in scientific machine learning (SciML). A successful candidate must have demonstrated the ability to apply of contemporary optimization, machine learning, and artificial intelligence approaches to the simulation and design of scientific systems, circuits, and devices in a research setting. This role requires effective teamwork and communication, working in an interdisciplinary research environment, and creative/technical problem solving at a high level.

Excellent written and oral communications skills are a requirement.

Qualifications and Education Requirements

• PhD in electrical engineering, computer science, or related areas.

Preferred Skills

• Proficiency in and deep understanding of machine learning and/or artificial intelligence.


• Experience in applying ML/AI methods in a scientific setting (prior academic publication on the topic is a strong plus).


• Proficiency in statistical (Bayesian) learning.


• Broad knowledge of and experience with optimization techniques and algorithms.


• Familiarity with analog computing and its current challenges (familiarity with optical computing specifically is a plus).


• Familiarity with conventional numerical PDE simulation methods, such as finite-element and finite-difference methods (common electromagnetic simulation methods are a plus).


• Proficiency in PyTorch, JAX, TensorFlow, and/or other common machine learning software tools.


• Proficiency/familiarity with interacting with and utilizing shared high-performance computing resources (e.g., use of MPI and GPUs on shared resources).


• Proficiency with Linux OS, Python virtual environments and package management, Git version control, and other common software development workflows.

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more}

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse 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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

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#grads, #Hplabs

Job:
Engineering
Job Level:
TCP_03

States with Pay Range Requirement

The expected salary/wage range for a U.S. -based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html .

USD Annual Salary: $117,500.00 - $270,000.00

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity .

Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.

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. .