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Gpu Performance Engineer Jobs in Pennsylvania (NOW HIRING)

Synopsys

Senior R&D Engineer - Job ID 18043

Easton, PA · On-site

$98K - $134K/yr

Perform R&D in GPU acceleration for nonlinear finite element analysis procedure including contact ... Work on the performance improvement and memory reduction under HPC environments. Design, code, test ...

Synopsys

Senior R&D Engineer - Job ID 18042

Canonsburg, PA · On-site

$96K - $131K/yr

... performance computing methods including distributed memory and shared memory parallel programming, with GPU programming, in C, C++ and Fortran for large-scale numerical analysis programs; • ...

Carnegie Robotics

Software Engineer - Cloud

Pittsburgh, PA · On-site

$58.25 - $75.75/hr

... performance and cost. What Your Day to Day Is * Managing and Administrating AWS: Owning AWS ... Experience setting up training infrastructure (e.g., managing GPU usage in AWS) and building ...

Carnegie Robotics

Software Engineer - Cloud

Pittsburgh, PA · On-site

$58.25 - $75.75/hr

... performance and cost. What Your Day to Day Is * Managing and Administrating AWS: Owning AWS ... Experience setting up training infrastructure (e.g., managing GPU usage in AWS) and building ...

Carnegie Robotics

Software Engineer - Cloud

Pittsburgh, PA · On-site

$58.25 - $75.75/hr

... performance and cost. What Your Day to Day Is * Managing and Administrating AWS: Owning AWS ... Experience setting up training infrastructure (e.g., managing GPU usage in AWS) and building ...

Carnegie Robotics

Software Engineer - Cloud

Pittsburgh, PA

$58.25 - $75.75/hr

... performance and cost. What Your Day to Day Is * Managing and Administrating AWS: Owning AWS ... Experience setting up training infrastructure (e.g., managing GPU usage in AWS) and building ...

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Gpu Performance Engineer information

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 are some common challenges faced by a GPU performance engineer 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 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 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 Pennsylvania?

For Gpu Performance Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Gpu Performance Engineer jobs in Pennsylvania look for?

The top searched job categories for Gpu Performance Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Gpu Performance Engineer jobs?

Cities in Pennsylvania with the most Gpu Performance Engineer job openings:

Gpu Performance Engineer jobs near you

Senior R&D Engineer - Job ID 18043

Synopsys

Easton, PA • On-site

$98K - $134K/yr

Full-time

Re-posted 7 days ago

Key responsibilities

  • Improve and enhance algorithms related to Non-Linear solution procedures, transient dynamics, and contact mechanics.

  • Perform research and development in GPU acceleration for nonlinear finite element analysis, including contact modeling.

  • Design, code, test, document, implement, and maintain software components and systems related to the role.

Job description

General Information
Job Title
Senior R&D Engineer
Job ID
18043
City
Canonsburg
State/Province
Pennsylvania
Job Category
Engineering
Job Subcategory
R&D Engineering
Hire Type
Employee
Base Salary Range: $ - $
Descriptions & Requirements
Job Description and Requirements
THIS POSITION IS ELIGIBLE UNDER THE TERMS OF THE EMPLOYEE REFERRAL PROGRAM (ERP):
SUMMARY
ANSYS, Inc. seeks Senior R&D Engineer to work in Canonsburg, PA, and various unanticipated locations. Telecommuting permitted from anywhere within the US
RESPONSIBILITIES
Improve and enhance our Non-Linear solution procedure, Non-linear transient dynamics, and contact mechanics algorithms. Perform R&D in GPU acceleration for nonlinear finite element analysis procedure including contact modeling. Work on the performance improvement and memory reduction under HPC environments. Design, code, test, document, implement, and maintain software components and systems. Comfortable contributing to (and learning where necessary) anywhere within the full software stack (API design, database implementation, parallel programming, etc.). Perform moderately complex bug verification, release testing and beta support. Investigate problems discovered by QA or product support and develop solutions. Work under the general supervision of a development manager. Participate in planning, architecture, and research.
MINIMUM QUALIFICATIONS
• PhD or foreign equivalent in Mechanical, Structural, Civil Engineering, Computer Science, or a related field of study, one (1) year of experience in a related position.
• Alternate Acceptable Education and Work Experience Requirement: Master's degree or foreign equivalent in Mechanical, Structural, Civil Engineering, Computer Science, or a related field of study, and three (3) years of experience in a related position; or a Bachelor's degree or foreign equivalent in Mechanical, Structural, Civil Engineering, Computer Science, or a related field of study and five (5) years of experience in a related position.
• Work experience or academic coursework must have included:
• Experience with contact mechanics, transient dynamics, and finite element coding experience
• Experience delivering high-quality products in a large-scale commercial software development environment
• Knowledge and commercial experience with object-oriented design, scripting languages, data structures and algorithms
• Experience with Python and C/C++, and Fortran
ANSYS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics.
ANSYS does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of ANSYS. Upon hire, no fee will be owed to the agency, person, or entity.
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
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About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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