H

Hewlett Packard Enterprise

Builds servers, networking and private cloud

HPC and AI Performance Engineer

Full-Time
No salary listed
Senior
Bachelor's, Master's, PhD
Pune, Maharashtra, India+1 moreMore locations: Bengaluru, Karnataka, India
HybridWork from an HPE office an average of 2 days per week.
AI & Machine Learning

About the job

Requirements
  • A bachelor’s degree in a technical field such as Computer Science, Mathematics, Engineering, Physics, Chemistry, Environmental Science, or a related discipline is required; a master’s or PhD is preferred.
  • Typically 5+ years of experience.
  • Academic or industry experience in high-performance computing, with a strong understanding of scientific and engineering application benchmarks used in the high-performance computing market.
  • Demonstrated ability to evaluate, tune, and optimize computational application benchmark performance on Linux-based high-performance computing systems.
  • Proficiency in Python, shell scripting, and other automation or scripting languages.
  • Ability to collaborate effectively with cross-functional teams to achieve defined technical, customer, and business objectives.
  • Ability to communicate complex technical concepts, benchmark results, and performance recommendations clearly to internal and external audiences.
  • Strong analytical, troubleshooting, and problem-solving skills, with the ability to diagnose and resolve complex performance issues.
  • Experience with several programming models, tools, and environments, with the ability to quickly learn additional technologies as needed, including MPI-based parallel programming and runtime environments; compilers and programming languages such as C, C++, and Fortran; OpenMP and other shared-memory parallel programming approaches; Linux operating environments, command-line tools, and system-level workflows; and performance profiling, tracing, analysis, and debugging tools.
  • Experience with, or the ability to quickly develop proficiency in, HPC technologies and concepts, including processor technologies such as CPUs, GPUs, and accelerators from user and programmer perspectives; accelerator programming technologies such as CUDA and OpenACC; different MPI implementations and best practices for optimizing application performance; parallel file systems such as Lustre and GPFS or other HPC storage technologies; running and scaling applications and benchmarks on large-scale HPC systems; and analyzing, interpreting, and assessing benchmark and application performance across different HPC architectures and system configurations.
  • Excellent written and verbal communication skills, with the ability to document technical findings and present results clearly.
  • Willingness and ability to work with leading-edge technologies, proactively identify and resolve issues, manage multiple priorities, and deliver results under demanding deadlines in a fast-paced environment.
Responsibilities
  • Conduct scientific application performance benchmarking in a timely manner, often under tight deadlines, to support sales engagements and internal product decision-making, including benchmarking scientific independent software vendor applications and open-source applications widely used across the high-performance computing community.
  • Optimize high-performance computing benchmarks on HPE systems to generate performance results and insights that help HPE submit competitive proposals for customer opportunities.
  • Develop and apply a strong understanding of high-performance computing architectural components, system features, and performance estimation methodologies to assess benchmark performance on current and future HPE systems.
  • Analyze benchmark results to identify performance bottlenecks across compute, memory, accelerator, interconnect, MPI, and I/O subsystems, and recommend optimization approaches to improve application performance on HPE high-performance computing platforms.
  • Stay current on HPE and competitor high-performance computing products and relevant performance optimization techniques to support high-quality benchmark results for sales opportunities.
  • Collaborate with colleagues across HPE and external technical peers to achieve optimal benchmark performance on HPE platforms.
  • Provide benchmarking consultation and technical guidance to Sales, Marketing, and Development teams to support business growth and customer success.
Desired Qualifications
  • A master’s degree or PhD is preferred.

About the company

H

Hewlett Packard Enterprise

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Hewlett Packard Enterprise sells servers, storage, networking and hybrid cloud software to large companies, governments and service providers. Its GreenLake platform lets customers run on-premises hardware as a metered cloud service, and its Cray supercomputers run national lab and AI training workloads. The networking business, built on Aruba and Juniper Networks, supplies campus, data-center and routing equipment. Revenue comes from hardware sales, multiyear support contracts, financing and subscriptions. The company traces its roots to Hewlett-Packard, founded in 1939, became a separate public company in 2015 and is headquartered in Houston, Texas.

Company Size

10,001+

Company Stage

IPO

Headquarters

Houston, Texas

Founded

1939

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Simplify's Take

What believers are saying

  • Growth is strong: revenue hit a record $12.2 billion, up 34%, in the quarter reported September 2026.
  • Time off to recharge: HPE gives four Wellness Fridays off a year plus 60 hours of paid volunteer time.
  • Scale gives range: HPE runs server, storage, networking and supercomputer businesses under one employer.

What critics are saying

  • Cuts continue after Juniper: an October 2025 WARN notice listed 52 HPE layoffs in San Jose, California.
  • Integration pressure: HPE still targets $600 million in yearly Juniper cost savings by fiscal 2028, as of October 2026.
  • Supply limits sales: in September 2026, CEO Antonio Neri said memory supply stays very constrained until 2028.

What makes Hewlett Packard Enterprise unique

  • Networking is now core: Juniper helped make networking a $2.9 billion business in the quarter reported September 2026.
  • AI networking is surging: Networks for AI orders hit a record $700 million in the quarter reported September 2026.
  • Hybrid cloud model: GreenLake bills customers monthly for on-premises servers and storage they use.

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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

11%

1 year growth

11%

2 year growth

11%
The Register
Oct 20th, 2026
HPE to run AI on the Moon this year with Spaceborne Computer 4 aboard Astrolab's FLIP rover

Hewlett Packard Enterprise (HPE) will run AI on the Moon before the end of the year. Its fourth-generation Spaceborne Computer (SBC4) will fly aboard Astrolab's Flex Lunar Innovation Platform (FLIP) rover, part of NASA's Commercial Lunar Payload Services programme. A SpaceX Falcon Heavy rocket will launch the rover, and Astrobotic's Griffin-1 lander will carry it to the Moon's south pole near Mons Mouton. SBC4 will run tuned large language model tests, machine learning on camera and LiDAR data, and supercomputing benchmarks, which could make it the first Top500 submission from a celestial body. The 1TB system uses mostly off-the-shelf parts, including Kioxia SSDs in a software RAID 1 mirror. Processing data locally saves scarce bandwidth back to Earth.

Yahoo Finance
Oct 14th, 2026
HPE shares fall 7.4% as Barclays downgrades and cuts target to $77

Hewlett Packard Enterprise (HPE) shares fell about 7.4% to $63.695 at 11:48 ET on October 14, after Barclays downgraded the stock to Equal Weight. The bank cut its price target to $77 from $83 but left its financial forecasts unchanged. The move questions how much investors should pay for HPE's growth story, not its earnings outlook. The share price sits 124.2% above GuruFocus's GF Value estimate of $28.41. Data-center networking revenue rose 112.2% year over year to $382 million, about 3.1% of quarterly revenue of $12.2 billion. The wider Networking segment brought in $2.9 billion at a 22% operating margin, against 17% for Cloud & AI. The next earnings report must show stronger evidence that the premium is justified.

LinkedIn
Oct 14th, 2026
#softwaredefined | TidalScale | 31 comments

TidalScale began with a vision to establish a new category of computing offering unprecedented scalability, flexibility, and ease of deployment for large memory systems.  This was accomplished by stitching together industry standard computers connected with Ethernet to create a virtual server of essentially any size.  We called this innovation Software-Defined Servers.  Along the way there were many additional innovations including the recently announced TidalGuard™ technology which allowed for the hot-swapping of computers, enabling nodes to be replaced at the first sign of impending failure – all while keeping the application up and performant.  This was just one of the 30 issued patents on our technology. A new chapter is unfolding for Software-Defined Servers as TidalScale’s technology and many key team members will now be a part of Hewlett Packard Enterprise. With HPE’s long history of innovation, current market-leading positions, and emphasis on culture and innovation, we couldn’t think of a better company to continue to forge the future for the technology and end-user value proposition. In addition to the dedication of our employees and support from investors, we want to thank our partners and customers for choosing our technology for their workloads.  And looking forward, we are excited to see how HPE takes Software-Defined Servers to the next level!  #softwaredefined # | 31 comments on LinkedIn

SDxCentral
Oct 13th, 2026
HPE Buys CloudPhysics, Rolls Out ‘Opportunity Engine’

HPE today announced the acquisition of CloudPhysics alongside the launch of its infrastructure recommendations engine.

Yahoo Finance
Oct 7th, 2026
HPE launches Gen13 servers with AMD EPYC CPUs for enterprise AI and agentic workloads

HPE unveiled four new ProLiant Gen13 Servers powered by 6th Generation AMD EPYC processors, designed to accelerate enterprise AI workloads whilst strengthening security and simplifying operations. The lineup includes the HPE ProLiant DL585a Gen13, supporting up to eight GPUs for AI inference and agentic AI workloads, and the compact DL525 Gen13 with up to 256 cores for high-throughput applications like fraud detection. Two OCP-compliant systems, the ProLiant XD245 and XD285, maximise compute density for data-intensive AI and HPC workloads through efficient shared power and cooling. The servers feature HPE iLO 8 with industry-first automatic self-encrypting drive capabilities and post-quantum cryptography readiness. HPE Compute Ops Management delivers 50% reduction in server management time. The DL525 launches later in 2026, with the DL585a following in early 2027.