Software Engineer (ML Systems) - Hewlett Packard Enterprise Company

This role has been designated as 'Remote/Teleworker', which means you will primarily work from home.

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:

About this role

As an ML Systems Engineer, you will play a fundamental role in building our state-of-the-art machine learning platform. You will get the chance to tackle challenging problems at the cutting edge of machine learning research and development and to collaborate with leading machine learning researchers and engineers.

Your goal is to make seamless software for deep learning research at scale! You will have the opportunity to define major aspects of our product: you'll be expected to take on difficult problems without clear solutions and to design, build, and iterate until we've reached elegant solutions that delight our customers.

You will work on a wide range of problems, from designing and implementing libraries and APIs to developing and optimizing applications enabling inference using, and fine-tuning of, state -of-the-art deep learning models on modern accelerators and compute clusters.

Requirements

• Strong problem solving and analytical skills
• Excellent communication skills, both written and verbal
• Strong Python programmer
• Extensive experience with numerical computing in Python, e.g., NumPy, PyTorch , or TensorFlow

• Experience building, designing, and documenting libraries/APIs
• Experience developing with containerization framework (e.g., Docker, Singularity)
• Excited about building systems to enable machine learning at scale
• NOTE: knowledge of machine learning or statistics is not r equired

Preferred

• Familiarity with modern deep learning software ecosystems
• Familiarity with distributed and concurrent computing
• Familiarity with hardware performance, HPC, and/or scientific computing, e.g., CUDA, MPI
• Graduate degree (or bachelor's degree with relevant experience) in computer science or a related field

#aisolutions

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX)

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.

Job:
Engineering
Job Level:
Expert

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 .

Annual Salary: $113,000.00 - $259,500.00

Estimated job application period closure is April 2024. While this is the expected application time frame, there are many factors which may result in a change. If this position is still open beyond the anticipated closure time frame, it is likely HPE is still actively recruiting for this role and all qualified and interested candidates are encouraged to apply.

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. .