Systems Software Engineer — Marvis Minis & Edge AI

Systems Software Engineer - Marvis Minis & Edge AI

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 varied 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 Opportunity

The future of networking is autonomous and AI-driven.

HPE Mist Networking is building that future through Marvis Minis - a digital twin framework that runs directly on access points to continuously validate network health and feed data into our self-driving network engine.

This team owns the Minis platform end-to-end: the embedded agent, cloud data pipelines, SLE classifiers, and integrations with Marvis Actions and the Large Experience Model.

You'll work across this stack - contributing to features, debugging cross-layer issues, and growing your expertise in both embedded and cloud systems.

This role will require being on site in Cupertino 2+ days a week

What You'll Do



* Develop and test Minis features across embedded (AP firmware, switches, gateways, via sandboxed test execution) and cloud (data pipelines, SLE classifiers, REST APIs)



* Write and maintain Minis tests - network and application validation tests such as DNS, DHCP, ping , MTR that run on networks like APs, switches, gateways and report results to the cloud via Kafka



* Debug cross-layer issues - troubleshoot problems that span AP firmware, cloud services, and data pipelines (e.g., why a downloadable mini fails on specific AP models, why SLE classifiers show incorrect data)



* Contribute to cross-platform expansion - help extend Minis to switches and WAN edge devices, working with peer dev teams



* Build and improve cloud services - work on Storm topologies, Airflow DAGs, Redis caching, Elasticsearch queries, and Kafka consumers that process millions of Minis test results



* Participate in production operations - monitor rollouts of features and respond to customer-reported issues



* Collaborate with senior engineers, the data science team, QA, and firmware teams

Required Qualifications (all required )



* 4+ years of professional software engineering



* 2+ year Go, C, or Python: This experience should be hands-on development in at least two of the following: Go, C, or Python - meaning you have written, reviewed, tested, and shipped code in these...