AI/ML Software Engineer

Hewlett Packard Enterprise•Fort Collins, CO
•$116,000 - $220,000•Hybrid

About The Position

Hewlett Packard Enterprise is hiring an AI/ML Software Engineer to build AI-powered software for large-scale supercomputers and AI infrastructure. The role focuses on observability, analytics, and AI-driven operations software that helps keep advanced computing systems resilient, performant, and operating at scale. The engineer will develop AI/ML capabilities and production-quality software, and work across the full solution lifecycle—from data engineering and model development to evaluation, deployment, monitoring, and ongoing improvement. The role involves collaboration with software engineers, architects, product managers, and customers to address complex operational challenges and advance AI-powered operations for large-scale computing environments. The position is hybrid and requires working an average of two days per week from an HPE office. The listed annual base salary range is USD 116,000–220,000 in Colorado; actual offers may vary based on location, experience, education or training, and skill level. Variable incentives may also be offered.

Requirements

  • Strong software engineering fundamentals and experience building production systems.
  • Familiarity with Go, Python, and React, or ability to become productive quickly in similar technologies.
  • Experience building large-scale distributed systems, observability platforms, infrastructure software, or operational tooling.
  • Experience applying AI/ML, GenAI, LLMs, analytics, or intelligent automation to real-world products.
  • Strong problem-solving skills and ability to take ownership of complex technical challenges.
  • Excellent communication and collaboration skills.

Nice To Haves

  • Experience with high-performance computing (HPC), supercomputing, or AI infrastructure.
  • Experience with observability, telemetry, monitoring, performance analysis, or operational analytics.

Responsibilities

  • Design and build AI/ML capabilities for anomaly detection, root cause analysis, forecasting, automation, and operational intelligence.
  • Develop production-quality software and services using Go, Python, React, and related technologies.
  • Build and integrate AI solutions, including machine learning models, LLM-powered workflows, agentic systems, and advanced analytics.
  • Work across the full solution-development lifecycle, including data engineering, model development, evaluation, deployment, monitoring, and continuous improvement.
  • Collaborate with software engineers, architects, product managers, and customers to solve complex operational challenges at scale.
  • Drive technical innovation and help shape AI-powered operations for large-scale computing environments.

Benefits

  • A comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.
  • Career development programs to support professional goals and skill growth.
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