Full-Time

System Performance Test Engineer

Artificial Intelligence, Automation

Hewlett Packard Enterprise

Hewlett Packard Enterprise

10,001+ employees

Sells enterprise hardware, software, and services

No salary listed

Bengaluru, Karnataka, India

Hybrid

Hybrid role; two in-office days per week.

Bachelor's

Category
QA & Testing (1)
Required Skills
TCP/IP
Claude
Python
Wireshark
Git
DevOps

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Requirements
  • Bachelor's degree in Computer Science, Electrical Engineering, Electronic Engineering, IT Engineering, or a related field (or equivalent practical experience)
  • 5+ years of experience in system performance engineering with strong coding skills
  • Proficiency in Python programming for test automation, tooling development, AI-assisted workflow automation, data analysis, and integration of AI-powered solutions into engineering processes
  • Practical experience using AI coding tools (GitHub Copilot, ChatGPT, Claude, or similar) in software development workflows
  • Experience delivering automation or developer tooling used by multiple engineers
  • Strong written and verbal communication skills, with the ability to clearly explain technical trade-offs
  • Comfortable operating in ambiguous environments while maintaining execution focus
  • Familiarity with Git-based workflows and CI/CD systems
  • Growth mindset, curiosity, and willingness to experiment and iterate quickly
Responsibilities
  • Become a participating member of the NonStop Performance Team to understand day-to-day performance testing workflows and identify AI innovation and automation opportunities
  • Collaborate with the NonStop Performance Team Engineering Lead to identify and execute prioritized AI productivity innovations and automation
  • Execute, define, and drive performance activities, including metrics, KPIs, SLOs, benchmarks, acceptance criteria, and regression gates for releases
  • Translate product performance and workload requirements into repeatable performance test plans
  • Use tools such as Measure, ProcessH, XProfile, Wireshark (runtime performance data collection), and LoadRunner analysis tools to perform full-stack profiling (CPU, memory, cache, NUMA locality, I/O paths, interrupts, network stack, and kernel scheduling)
  • Analyze contention (locks, queues), interrupt distribution, socket backlogs, TCP/IP and RDMA tuning, storage queues, and filesystem behavior to produce clear root-cause analyses with system software development teams
  • Partner with hardware, firmware, OS, storage, and networking teams to co-own performance outcomes, participate in design and code reviews, and advocate for performance-centric architecture and testability
  • Create and maintain team-level AI artifacts, including AGENTS.md, .github/copilot-instructions.md, Reusable prompts, Workflow playbooks
  • Build and refine AI personas for specific use cases
  • Implement AI-assisted test suite workflow automations (GitHub, CI/CD, scripts, and internal tooling)
  • Prototype and deliver tools in Python (or similar languages), with clear documentation and adoption guidance
  • Track and report impact metrics for implemented changes, including Adoption, Cycle time, Review quality, Defect trends
  • Provide enablement support through demos, office hours, and team training sessions
Desired Qualifications
  • Experience with prompt design and structured evaluation of AI output quality
  • Experience creating internal technical documentation, runbooks, or enablement content
  • Exposure to secure coding or quality engineering practices in review workflows
  • Passion for improving productivity through AI and automation
  • Strong technical curiosity and a data-driven mindset
  • Ability to influence teams and drive adoption without direct authority
  • Comfortable operating amid ambiguity in fast-moving AI tooling environments, where standards, models, and best practices evolve rapidly
  • 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)
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.