Software Engineer, Full- Stack - 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:

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.

As a Full-Stack Software Engineer, you will join the team responsible for designing and implementing our products' web interfaces, and more broadly, will play a key role in defining how our customers interact with our products. You will build software to help machine learning (ML) engineers launch new ML workloads, monitor cluster utilization via a dashboard interface, and plot metrics to understand the statistical behavior of their experiments. You will help design and implement a collaborative development environment for machine learning teams that spans the ML lifecycle from data management and model development through deployment and monitoring.

Requirements

• You are eager to understand workflows for highly technical users to create great user experiences.
• You are excited to facilitate conversations between engineering, product, and other internal stakeholders.
• You have experience designing, implementing, and documenting efficient and performant APIs for streaming updates and/or large datasets in web applications.
• You lead by example when helping others with code reviews, pair programming, and mentorship.
• You have a desire to explore and implement best practices regarding web application reliability; across functional, performance, and stress testing domains.

• Experience with SQL, Go, React, Typescript, and/or WebSockets.
• Experience with data visualization, particularly of large data sets.
• Knowledge of or interest in machine learning, data science, statistics, and/or high-performance computing.
• Minimum 4 years of experience.

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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

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. .