1,859,953open jobs
109,798companies
258,795added this week
Browse all
Salary
$106k – $243k per year
Location
In office (Houston, Bloomington)
Seniority
Senior · 6+ years exp
Visa
H-1B filings in 12 months: 572 · for this role: 144 · green card filings: 204
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 1, 2026. Hewlett Packard Enterprise scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Hewlett Packard Enterprise is a global technology company specializing in edge-to-cloud solutions, enterprise IT infrastructure, and intelligent software services. Formed in 2015 following the division of Hewlett-Packard Company, the organization offers servers, storage, high-performance computing, and networking capabilities through flexible consumption models like its GreenLake platform. Headquartered in Spring, Texas, the enterprise operates internationally to help commercial and public-sector clients secure, manage, and modernize their digital infrastructure.
HPC & AI Performance EngineerThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week 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:

HPE operates at the forefront of a fast-moving HPC and AI industry. We are looking for driven engineers who thrive on complex technical challenges and consistently deliver high-quality results that strengthen the performance, competitiveness, and success of HPE’s HPC & AI solutions for customers worldwide.

Required Responsibilities:

  • Lead HPC and AI benchmarking projects across CPU, GPU, network, memory, and storage platforms.
  • Evaluate HPE and competitive HPC and AI architectures using performance models and benchmark data.
  • Run and analyze scientific, engineering, large language model (LLM), AI training and inference, storage, and I/O workloads.
  • Identify performance bottlenecks and optimize applications, AI frameworks, libraries, compilers, runtimes, and system software.
  • Apply parallel computing, GPU acceleration, profiling, and memory and I/O optimization to deliver credible, repeatable results.

Required Qualifications:

  • 6+ years of Experience with HPC and AI workloads, including scientific and engineering applications, MLPerf, large language models such as DeepSeek, Kimi K2.6 or K3, and gpt-oss-120b, AI training and inference, storage benchmarks, and performance-profiling tools. Relevant coursework and internship experience will be considered.
  • Knowledge of HPC and AI system architecture, including CPUs, GPUs and other accelerators, memory, networking, storage, and software stacks, with the ability to explain their impact on application and benchmark performance.
  • Understanding of parallel and distributed programming techniques, including MPI, OpenMP, OpenSHMEM, algorithms, and performance considerations for HPC and AI workloads.
  • Ability to lead complex HPC and AI performance projects, work effectively across technical teams, and translate findings into customer-focused recommendations.
  • Demonstrated ability to analyze and optimize computational applications and benchmarks on Linux-based HPC and AI systems.
  • Experience with HPC and AI software environments, including C, C++, Fortran, Python, Linux scripting, compilers, MPI, MPI-IO, OpenMP, and relevant AI frameworks and libraries.
  • Experience with NVIDIA GPUs and AMD Instinct MI-series accelerators, including offloading computational routines using CUDA, HIP, OpenMP target offload, OpenACC, or comparable programming models for HPC and AI workloads.
  • Experience using performance-profiling, tracing, and debugging tools on Linux-based HPC and AI systems.
  • Ability to interpret benchmark results, identify performance bottlenecks, and recommend improvements for HPC and AI applications and systems.
  • Excellent analytical and problem-solving skills.
  • Excellent written and verbal communication skills, with the ability to present complex technical findings clearly to engineering teams, customers, and business stakeholders; professional proficiency in English required.
  • Master’s degree in computer science, engineering, mathematics, physics, chemistry, environmental science, or a related technical field; PhD preferred.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

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.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates

Job:

Engineering

Job Level:

TCP_04"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

- United States of America: Annual Salary USD 105,500 - 243,000 in Minnesota & Texas

The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBTemployer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global 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 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.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,859,953 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
Houston
$87k – $198k per year • In office • TS/SCI • Full-Time • 12+ years exp • Bachelor's Degree • Laurel
TypeScript
AI/ML
AI Agents
LLM
Machine Learning
DevOps
CI/CD
Apply
$170k – $240k per year • Equity • In office • Full-Time • 5+ years exp • PhD • Austin • Sunnyvale
AI/ML
Quantization
JAX
Diffusion Models
TensorFlow
PyTorch
LLM
Triton
Post-training
Machine Learning
Apply
AI Architect 1 hour ago
$60k – $135k per year • In office • 5+ years exp • Chicago
DevOps
GCP
Apply
$200k – $276k per year • Equity • Hybrid • 2+ years exp • PhD • United States
Python
AI/ML
Machine Learning
Apply
$247k per year • Hybrid • PhD • New York • San Francisco
SQL
AI/ML
Recommender Systems
Machine Learning
Analytics
ETL/ELT
Apply
$130k – $160k per year • Remote (United States, PST hours) • Full-Time • PhD • San Francisco
Python
Fortran
AI/ML
JAX
Apply
≈ $20k – $57k per year (Estimated) • Hybrid • Full-Time • Bachelor's Degree • Bogotá
Python
Java
DevOps
Splunk
OpenShift
Prometheus
Kubernetes
Grafana
Linux
Unix
Management
Telegram
WhatsApp
Apply
DevOps Engineer II 7 days ago
$108k per year • Equity • In office • Full-Time • 4+ years exp • Bachelor's Degree • Richmond
Python
Go
JavaScript
Rust
C#
Node JS
DevOps
Rest API
Terraform
Helm
VMWare
Chef
Datadog
Prometheus
Azure
CI/CD
ArgoCD
AWS
Kubernetes
Cloudflare
AppDynamics
Amazon EKS
AWS Fargate
Akamai
Amazon ECS
Windows
Apply
Hybrid • Astana
Python
SQL
Databases
PostgreSQL
ClickHouse
Apache Kafka
Greenplum
Vertica
AI/ML
Spark
Dagster
dbt
DevOps
Prometheus
Docker
Kubernetes
Grafana
SLI/SLO/SLA
Analytics
ETL/ELT
Apply
$97k – $108k per year • Hybrid • Confidential • Full-Time • Manchester
Python
Go
AI/ML
Machine Learning
DevOps
Terraform
GCP
Dynatrace
CI/CD
SRE
Platform Engineering
Backstage
Cybersecurity
Open Policy Agent
Wiz
Apply
$121k – $284k per year • In office • Full-Time • Spring
Python
AI/ML
MLFlow
Fine-tuning
AI Agents
Kubeflow
LLM
RAG
Ray
LLMOps
LLM Guardrails
DevOps
Helm
Kubernetes
Linux
Apply
$183k – $378k per year • Hybrid • Full-Time • 5+ years exp • Spring
AI/ML
EU AI Act
DevOps
Rest API
Ansible
Red Hat
OpenShift
Rancher
SLURM
Kubernetes
HPC
Linux
Cybersecurity
GDPR
HIPAA
FedRAMP
Apply
$63k – $145k per year • In office • Full-Time • Master's Degree • Bloomington
Python
C
C++
Fortran
C
MPI
AI/ML
CUDA Toolkit
OpenMP
CUDA
DevOps
HPC
Linux
Apply
$152k – $349k per year • In office • Full-Time • 12+ years exp • Bachelor's Degree • Spring
Python
Python
Flask
FastAPI
AI/ML
MLFlow
AI Agents
Kubeflow
LLM
Machine Learning
DevOps
GCP
Helm
GitHub Actions
OpenTelemetry
Prometheus
Azure
CI/CD
GitOps
Jenkins
AWS
Docker
Kubernetes
Grafana
AIOps
Apply
$106k – $243k per year • In office • Full-Time • 6+ years exp • Bachelor's Degree • Bloomington • Houston
Python
C
C++
Fortran
C
MPI
AI/ML
CUDA Toolkit
OpenMP
CUDA
DevOps
HPC
Linux
Apply
$200k – $400k per year • Remote (United States) • 3+ years exp • Master's Degree • Houston
AI/ML
RLHF
Prompt Engineering
Machine Learning
Apply
≈ $103k – $198k per year (Estimated) • In office • 8+ years exp • Houston
Python
SQL
PowerShell
C#
Databases
KDB+
AI/ML
Time Series Forecasting
DevOps
TCP/IP
Cybersecurity
GDPR
Apply
≈ $132k – $271k per year (Estimated) • In office • Houston
Databases
Snowflake
Apply
≈ $123k – $240k per year (Estimated) • In office • Houston
AI/ML
AI Agents
Apply
$36k per year • Remote (United States) • 1+ year exp • Houston
DevOps
Wi-Fi
Apply
See all jobs
This is one of many
1,859,953 more open roles from verified company boards, updated every day.