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Gpu Performance Engineer Jobs in Minnesota (NOW HIRING)

... GPU performance profiling and characterization, and other general stream programming techniques. * Excellent knowledge and experience in computational geometry algorithms. * Excellent knowledge and ...

... GPU performance profiling and characterization, and other general stream programming techniques. * Excellent knowledge and experience in computational geometry algorithms. * Excellent knowledge and ...

... GPU performance profiling and characterization, and other general stream programming techniques. * Excellent knowledge and experience in computational geometry algorithms. * Excellent knowledge and ...

... detection, performance regression, rollback strategies, and incident response. Required ... monitoring stacks. - GPU optimization and distributed training experience. - Experience with ...

Own production health: drift detection, performance regression, rollback strategies, and incident ... GPU optimization and distributed training experience. * Experience with responsible AI toolkits and ...

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Gpu Performance Engineer information

What are the key skills and qualifications needed to thrive as a GPU Performance Engineer, and why are they important?

To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.

What are some common challenges faced by GPU Performance Engineers when optimizing graphics workloads?

GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.

What is a GPU Performance Engineer?

A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.

What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical engineering, VLSI design certifications

The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.

What are popular job titles related to Gpu Performance Engineer jobs in Minnesota? For Gpu Performance Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Gpu Performance Engineer jobs in Minnesota look for? The top searched job categories for Gpu Performance Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Gpu Performance Engineer jobs? Cities in Minnesota with the most Gpu Performance Engineer job openings:

HPC & AI Performance Engineer

Hewlett Packard Enterprise Development LP

Bloomington, MN • On-site

Full-time

Posted 11 days ago


Job description

HPC & AI Performance Engineer
This role has been designed as 'Hybrid' with an expectation 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 is seeking a High-Performance Computing (HPC) Benchmarking Performance Engineer to work with both standard and scientific application benchmarks on HPE's supercomputing platforms. Familiarity with HPC is advantageous, particularly in areas such as processor performance, network technologies, software expertise, and application performance and scalability. The ideal candidate will demonstrate strong technical skills in HPC scientific application software, performance analysis, and a solid understanding of HPC hardware and architecture, applying this knowledge to benchmarking activities for HPE supercomputers deployed globally.
HPE operates in a fast-paced and ever-changing environment. We are looking for driven engineers who consistently deliver the high-quality results for HPE's HPC & AI customers.
Responsibilities:
  • Successfully complete long and short-term benchmark projects involving some of the largest HPC systems in the world that utilize the newest HPC technologies.
  • Understand HPC architectural components and features, as well as performance estimation methodologies used to provide required information and performance assessments for benchmarks on future HPE and competitive systems.
  • Complete and provide technical analysis of HPC I/O, standard and scientific application performance-based benchmark tests.
  • Identify solutions, define action plans, and help coordinate and deliver optimal benchmark enhancements and solutions.
  • Proactively develop and maintain advanced knowledge of HPE and competitor HPC products by participating in targeted training sessions, and collaborating with internal and external HPC experts. Apply specialised HPC performance optimisation techniques including parallel processing, efficient memory management, and comprehensive code profiling to ensure delivery of robust benchmark performance results on HPE's HPC and AI systems.

Qualifications:
  • Experience with storage benchmarks, profiling tools and/or software for HPC systems. Coursework and internship experience is considered relevant
  • Knowledge of HPC system components that include processor technologies, accelerator technologies, memory technologies, & software technologies - and the ability to understand their impacts on various HPC benchmarks.
  • Understanding of parallel programming techniques and algorithms.
  • Ability to take on some of the most challenging HPC projects to advance the capabilities of HPC which will benefit HPE customers and the world.
  • A demonstrated ability to assess and optimize aspects of computational application benchmark performance on HPC Linux based system
  • Expertise with software utilized by the HPC community that includes Compilers (C++, C, Fortran), OpenMP, MPI & MPI-IO, Python and other Linux based scripting languages
  • Expertise in GPU programming (CUDA and HIP)
  • Ability to use Performance profiling tools and debugging tools on Linux based systems.
  • Familiarity with analyzing and assessing benchmark and application performance for HPC systems.
  • Excellent analytical and problem-solving skills.
  • Excellent written and verbal communication skills; mastery of English required.
  • Masters degree [PhD preferred] in a technical field (Computer Science, Mathematics, Engineering, Physics, Chemistry, Environmental, etc.).

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_02
"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 62,900 - 145,300 in Minnesota
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/LGBT employer. 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.