Backend Engineer

Backend Engineer

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

Job Description:

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.

The AI Solutions group builds software to enable machine learning engineers to iterate on and rapidly deliver effective models. We have a suite of open-source tools that support teams throughout the AI development lifecycle – from versioning of massive datasets, effortless distributed training, automatic fault-tolerance and resource scheduling, and seamless deployment to production – allowing scientists to focus on their research instead of infrastructure management and boilerplate code.

We are a fast-moving, tight-knit group, working autonomously within the larger Hewlett Packard Enterprise organization. As part of HPE, we have access to the largest computing clusters in the world, but our tools enable customers of all sizes to leverage the latest of generative AI to maximize their productivity: from scrappy startups trying to push the boundaries of AI, to large organizations that are deploying models that have massive business potential.

About this role

As a Backend Systems Engineer, you will play a fundamental role 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.

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 problems such as efficient cluster scheduling over heterogeneous GPUs and ML accelerators, implementing cutting-edge algorithms for hyperparameter optimization, and designing systems for managing ETL pipelines and automated deployment of ML models.

Requirements

• Strong problem solving and analytical skills
• Excellent communication skills, both written and verbal
• An exceptional track record of designing, implementing, testing, and debugging scalable, reliable production-quality software
• Experience with distributed and/or concurrent software development
• Minimum of 5 years of experience
• NOTE: knowledge of machine learning or statistics is not required

Preferred

• Experience building systems for large-scale data management, analytics, cluster scheduling, or machine learning
• In-depth knowledge of building and deploying software on AWS, GCP, and/or Azure
• Familiarity with modern container-based cluster managers (e.g., Kubernetes, DC/OS)
• Experience doing operations and being on-call for production systems
• Interest or experience in machine learning
• Familiarity with hardware performance, HPC, and/or scientific computing
• Graduate degree (or bachelor's degree with relevant experience) in computer science or a related field

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)

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.

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 February 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.

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. .