Hewlett Packard Labs - Software Engineer - Generative AI - Early Career
This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2-3 days per week 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:
HPE is at the forefront of High Performance Computing and AI innovations to solve the most difficult and complex problems that we are facing today. In our Physics-Based GenAI team at Hewlett Packard Labs, we are dedicated to pushing the boundaries of what's possible with artificial intelligence. We specialize in creating cutting-edge machine learning algorithms and applications by augmenting state-of-the-art LLMs with concepts and tools from symbolic AI, physics simulators, statistical physics and non-equilibrium thermodynamics. We aim to revolutionize AI by creating first-principled generative models for system-2 thinking that can perform reliable and interpretable complex reasoning over multimodal data. Join us to be a part of a team that shapes the future of high-performance AI.
As a Software Engineer focused on Generative AI, you will play a pivotal role in developing and refining AI models that can generate text, images, audio, or other types of symbolic, numerical, graphical, and scientific contents. You will work closely with a multidisciplinary team of engineers, researchers, and product managers, during full development cycles of pre-training, fine-tuning and inference to build efficient and innovative GenAI systems that are inspired by novel statistical physics models.
Required skills and experiences:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Electrical Engineering, Mathematics, or other related fields.
- 1 to 5 years relevant professional experience.
- Minium 3 years working experience with AI and machine learning, particularly in developing and deploying generative models.
- Proven experience in software development with a strong background in algorithms, data structures, and object-oriented programming.
- Proficiency in Python and C/C++.
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Excellent understanding of neural networks, deep learning, and generative models.
- Ability to work in a fast-paced, iterative development environment.
- Strong problem-solving skills, with a creative and analytical approach to tackling challenges.
- Excellent communication skills, with the ability to collaborate effectively across diverse teams.
Desired skills and experiences:
- Working experience with HPC programming environments.
- Familiarity with combinatorial optimization techniques and algorithms, and their application in solving complex computational problems.
- Background in computational physics, with an understanding of how physical principles can be applied to improve machine learning models and algorithms.
- Experience in applying generative AI models to solve problems in areas such as material science, quantum computing, or complex system simulations.
- Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure).
- Contributions to open-source AI/ML projects or publications in relevant fields.
- Experience with containerization and orchestration technologies.
Join us and make your mark!
We offer:
• A competitive salary and extensive social benefits
• Diverse and dynamic work environment
• Work-life balance and support for career development
• An amazing life inside the element! Want to know more about it?
Then let’s stay connected!
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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.
Accommodation of special needs for qualified candidates may be considered within the framework of the HPE Accommodation Policy.
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
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.
#unitedstates
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. .
Top Skills
What We Do
In 1939, Bill Hewlett and Dave Packard, college friends turned business partners, started the original Silicon Valley startup in the space of a rented Palo Alto garage. Starting with audio oscillators, the friends built the foundation for a company that would grow to become a global leader in enterprise technology.
More than 75 years later, our success is exemplified through our employees’ drive to advance ideas that bring meaningful innovations to life for our customers and partners around the globe. We are guided by our mission to help customers use technology to turn ideas into value, and empower them to transform industries, markets and lives. We simplify Hybrid IT, power the Intelligent Edge and provide the expertise to make it all happen.
