HPC and AI Performance Engineer
Juniper Networks
- Location
- Bengaluru Karntaka India
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 140 approvals (FY2023)
- Posted
- Sep 10, 2026
About this role
HPC and AI Performance Engineer This 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
High Performance Computing, AI and Labs is a critical element of HPE. We are focused on delivering innovative solutions that accelerate our customers’ digital transformation, enabling them to tackle their complex, and data-intensive workloads. Combining deep expertise and the development of the world’s most cutting-edge, high-performance supercomputers, is defining the next era of computing delivering valuable insight & innovation. Join us and redefine what’s next for you. HPE is seeking a High-Performance Computing (HPC) Benchmarking Performance Engineer to support scientific application benchmarking and performance optimization on HPE supercomputing platforms. In this role, the engineer will work with standard HPC and scientific application benchmarks to support HPE’s sales, development, and marketing initiatives. The position requires strong technical knowledge of HPC systems, performance analysis tools, and optimization techniques to help deliver optimal benchmark and application performance on HPE supercomputers deployed at customer sites worldwide. The ideal candidate will bring experience with HPC scientific applications, a solid understanding of HPC hardware and architecture, and strong collaboration and communication skills. Candidates who meet a subset of the qualifications and demonstrate a strong willingness and ability to learn are also encouraged to apply for this role. HPE operates in a dynamic, fast-paced business environment and is looking for motivated engineers who can consistently deliver the high-quality results expected by HPE’s HPC customers. This role requires clear and independent thinking, along with the ability to apply innovative approaches to work activities and problem solving. HPE values a constructive, collaborative, and results-oriented work style.
What you will do
Conduct scientific application performance benchmarking in a timely manner, often under tight deadlines, to support HPE sales engagements and internal product decision-making. This includes benchmarking scientific Independent Software Vendor (ISV) applications as well as open-source applications widely used across the HPC community. Optimize HPC 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 HPC 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 for improved application performance on HPE HPC platforms. Stay current on HPE and competitor HPC products, along with relevant performance optimization techniques, to support delivery of high-quality benchmark results for sales opportunities. Collaborate closely with colleagues across HPE and with external technical peers to achieve optimal benchmark performance on HPE platforms. Provide benchmarking