Full-Time

PCAI CoE Engineer

Updated on 8/23/2026

Hewlett Packard Enterprise

Hewlett Packard Enterprise

10,001+ employees

Sells enterprise hardware, software, and services

No salary listed

Bengaluru, Karnataka, India

In Person

Primarily work from an HPE office.

Bachelor's, Master's

Category
DevOps & Infrastructure (1)
Required Skills
PowerShell
Bash
Kubernetes
Microsoft Azure
Python
JavaScript
MySQL
CUDA
Apache Spark
Groovy
Machine Learning
Computer Networking
Java
Postgres
MLflow
CloudFormation
Istio
Microservices
AWS
Terraform
Ansible
Linux/Unix
Data Analysis
Helm
Google Cloud Platform

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Requirements
  • Deep knowledge of NVIDIA GPUs, CUDA programming, and NVIDIA’s artificial intelligence software stack.
  • Good understanding of container platforms and underlying infrastructure.
  • Good understanding of artificial intelligence, machine learning, and analytics applications, including Kubeflow, MLflow, Apache Spark, Superset, NVIDIA AI Enterprise NIM Microservices and models, and NVIDIA NeMo.
  • Excellent knowledge of Linux operating systems, including Red Hat Enterprise Linux 8 and Rocky Linux; Kubernetes, container runtimes, container networking, Ezmeral-specific Kubernetes tools such as ezkube and ezfab; Morpheus software and Morpheus virtual machines; single sign-on and identity and access management; PostgreSQL; Helm, Istio, and SPIRE; storage; and Container Storage Interface.
  • Good knowledge of GPU technologies, including the NVIDIA GPU Operator and NVIDIA vGPU technology.
  • Strong GPU understanding and troubleshooting skills across hardware, operating system, software, and application layers.
  • Experience with NVIDIA software development kits such as DeepStream and Jetson, and with GPU performance tuning.
  • Familiarity with NVIDIA’s artificial intelligence software stack.
  • Experience with AWS, Microsoft Azure, or Google Cloud for NVIDIA GPU-based artificial intelligence model deployment.
  • Experience with performance profiling, tuning, and optimization of artificial intelligence applications on NVIDIA GPUs.
  • Excellent understanding of VMware vCenter and ESXi 7 and 8, content libraries, OVA/template management and deployment, VMware VMFS datastore management, and VMware standard virtual switches, VMkernel interfaces, and VDS.
  • Good knowledge and hands-on experience with at least two Linux distributions such as Red Hat Enterprise Linux, SUSE Linux Enterprise Server, Ubuntu, or Debian.
  • Advanced knowledge of microservices architectures, including databases, message queues, indexing, and Java applications.
  • Ability to read and write complex MySQL queries.
  • Ability to read and write non-trivial scripts and programs in at least two of Bash, PowerShell, Python, Java, Groovy, and JavaScript.
  • Ability to read and write basic templates in at least one of CloudFormation, Terraform, and Ansible.
  • Networking troubleshooting skills, including IPv4, load balancers, and proxies.
  • Working knowledge of on-premises hypervisor technologies such as VMware vSphere, OpenStack, or KVM.
  • Knowledge and experience with Linux system administration, package management, scheduling, boot procedures and troubleshooting, performance optimization, and networking concepts.
  • Windows Active Directory administration for user management and Ezmeral authentication integration.
  • Knowledge of IPv6 and SLAAC.
  • Excellent problem-solving skills and the ability to diagnose and resolve complex technical issues.
  • Effective communication skills for collaboration with development, security, and compliance teams.
  • Ability to work effectively in a team environment and coordinate efforts with other teams.
  • Familiarity with information technology service management frameworks such as ITIL and experience with incident, problem, and change management processes.
Responsibilities
  • Resolve complex problems for enterprise and mission-critical PCAI customers.
  • Assess technical issues and their business impact, and manage technical communication with customers and stakeholders.
  • Provide leadership in complex technical problem management while working with end customers and HPE remote and field support staff.
  • Identify and resolve customer issues involving NVIDIA GPUs and related infrastructure components critical to artificial intelligence processing.
  • Work with stakeholders to identify opportunities to use artificial intelligence technologies for business solutions.
  • Provide technical support for Kubernetes environments and artificial intelligence tooling such as Apache Airflow for data orchestration and MLflow for machine learning lifecycle management.
  • Provide technical support for Morpheus virtualization software.
  • Troubleshoot and optimize artificial intelligence applications and infrastructure for maximum efficiency and minimal downtime.
  • Perform fault isolation and problem reproduction; interact with engineering, quality assurance, and development teams; and manage escalations and elevations.
  • Develop knowledge content and runbooks.
Desired Qualifications
  • Knowledge of VMware standard virtual switches, VMkernel interfaces, and VDS.
  • NFS storage configuration and troubleshooting.
  • A bachelor's or master's degree in computer science, information technology, or a related field.
Hewlett Packard Enterprise

Hewlett Packard Enterprise

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HPE delivers enterprise IT solutions across cloud, AI, and edge computing for large organizations. It combines hardware, software, and services, with consumption-based options via HPE GreenLake and container management with HPE Ezmeral, plus Aruba networking. It differs by offering an integrated on-premises and edge-enabled stack with flexible pay-as-you-go models and active open-source engagement. Its goal is to help customers accelerate digital transformation with scalable, secure IT infrastructure across data centers, cloud, and edge.

Company Size

10,001+

Company Stage

IPO

Headquarters

Houston, Texas

Founded

1939

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 fiscal 2026 revenue reached $10.7 billion; AI systems orders hit $1.8 billion.
  • HPE raised fiscal 2026 free cash flow guidance to at least $3.5 billion.
  • Networking orders outpaced revenue in 2026, lifting cumulative Networks for AI to $2 billion.

What critics are saying

  • August 12, 2026 DOJ settlement forces Instant On divestiture and Juniper AI Ops licensing.
  • Dell and Super Micro beat HPE on AI server customization and shipment speed.
  • If Juniper integration slips, HPE loses networking momentum to Cisco and Arista.

What makes Hewlett Packard Enterprise unique

  • June 2026 NVIDIA AI Factory bundles HPE servers, storage, networking, and private cloud.
  • HPE Aruba and Juniper combine into single-vendor SASE and campus networking.
  • HPE keeps hybrid HPC credibility through Rigetti and Pittsburgh Supercomputing Center TangleLab.

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Benefits

Health Insurance

Flexible Work Hours

Hybrid Work Options

Professional Development Budget

Wellness Program

Growth & Insights and Company News

Headcount

6 month growth

9%

1 year growth

9%

2 year growth

9%
Yahoo Finance
Aug 22nd, 2026
HPE named storage leader by Gartner amid new DDR5 patent dispute with Netlist

Netlist has filed patent infringement actions against HPE and others with the U.S. International Trade Commission and a California federal court, targeting DDR5 memory modules. The legal action emerged in August 2026. HPE has simultaneously been recognised as a Leader in Gartner's 2026 Magic Quadrant for Enterprise Storage, highlighting its unified data platform and AI-focused infrastructure. The company recently presented its enterprise technology roadmap at the OCP APAC Summit in Taipei. HPE's investment narrative hinges on its pivot toward AI infrastructure, hybrid cloud, and higher-margin services offsetting pressure in traditional hardware. The company's narrative projects $55.8 billion revenue and $4.8 billion earnings by 2029, requiring 12.9% yearly revenue growth. Bearish analysts forecast lower figures, with revenue reaching approximately $53.5 billion and earnings about $5.1 billion by 2029.

MarketBeat
Aug 16th, 2026
SCS Capital Management LLC Buys New Stake in Hewlett Packard Enterprise Company $HPE

SCS Capital Management LLC purchased a new position in shares of Hewlett Packard Enterprise Company (NYSE:HPE - Free Report) in the second quarter, according to its most recent disclosure with the Securities and Exchange Commission. The fund purchased 397,972 shares of the technology company's stoc

Yahoo Finance
Aug 12th, 2026
SMCI projects $65B–$72B revenue, lifting Dell and HPE shares in pre-market trading

Super Micro Computer projected fiscal 2027 revenue of $65–$72 billion, significantly exceeding the analyst consensus of $52.50 billion. The guidance sent SMCI shares up roughly 9% in pre-market trading Wednesday. Dell Technologies and Hewlett Packard Enterprise rose in sympathy, gaining 2.6% and 2.2% respectively, as investors view SMCI's results as a demand indicator for AI server hardware. SMCI's fourth-quarter gross margin reached 17.5%, surpassing its preliminary estimate of 15%–17%. Fourth-quarter revenue nearly doubled year-over-year to $11.12 billion, though it fell short of the $11.55 billion consensus. The company counted nine customers generating over $1 billion in annual revenue in fiscal 2026, up from four the previous year. Dell held an AI systems backlog of $51.3 billion, whilst HPE reported $16.4 billion. Big Tech capital spending is expected to surpass $730 billion in 2026.

Yahoo Finance
Aug 6th, 2026
HPE and Nvidia expand AI infrastructure partnership to take on Super Micro and Dell

Hewlett Packard Enterprise and NVIDIA have expanded their partnership to deliver integrated AI infrastructure combining hardware, software, and cloud management. The collaboration centres on HPE AI Factory with NVIDIA, a turnkey solution merging HPE's compute, storage, and networking with NVIDIA's GPUs, CPUs, and AI Enterprise software. The companies jointly developed HPE Private Cloud AI for secure deployment of generative and agentic AI applications in on-premises or hybrid environments. HPE is launching AI-optimised servers, including the ProLiant Compute DL394 Gen12 powered by NVIDIA's Vera CPU. HPE faces competition from Super Micro Computer and Dell Technologies, which also partner with NVIDIA. Super Micro Computer's modular Building Block architecture and over 3,200 research and development engineers enable rapid product customisation and faster time-to-market for AI deployments.

Yahoo Finance
Jul 27th, 2026
Rigetti to deliver 9-qubit system for $5M NSF-funded hybrid quantum-classical supercomputer testbed

Rigetti Computing will supply a 9-qubit Novera quantum computing system to Pittsburgh Supercomputing Center's new TangleLab testbed, funded by a $5 million National Science Foundation grant. The project expands Rigetti's collaboration with HPE to develop quantum-enabled high-performance computing systems. The testbed will integrate the quantum system with classical HPC infrastructure. PSC will allocate access through a competitive proposal process, supporting both dedicated research and educational purposes. Rigetti CEO Dr Subodh Kulkarni emphasised the system's fast gate speeds, characteristic of superconducting quantum systems. HPE's role involves unifying quantum processors with HPC, AI, and advanced networking technologies. PSC will provide onboarding, training, and research consulting to help users operate the hybrid quantum-classical system.