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Gpu Performance Engineer Jobs in Michigan (NOW HIRING)

Introl

Data Center Technician

Detroit, MI · On-site

$22 - $35/hr

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... performance and business demand. Key Responsibilities GPU Infrastructure & Hardware Management ...

May Mobility

Robotics Engineer II

Ann Arbor, MI

Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in ... Experience with CUDA and GPU processing techniques * Proficiency with hard example mining, active ...

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Gpu Performance Engineer information

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 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.

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What job categories do people searching Gpu Performance Engineer jobs in Michigan look for? The top searched job categories for Gpu Performance Engineer jobs in Michigan are:
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Gpu Performance Engineer jobs near you
Algorithm Engineer (Deep Learning/C++)(E)

Algorithm Engineer (Deep Learning/C++)(E)

KLA

Ann Arbor, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. They are looking to build their Algorithm Engineering talent community, focusing on novel image processing and deep learning algorithms to enhance their technology offerings. The role involves collaborating with software teams to develop algorithms and integrate them into production code.
Responsibilities:
• In this role, you will: Contribute to novel image processing, defect detection and analysis, and optimization algorithms balancing sophistication and computational complexity through comprehensive data analysis.
• Evaluate and productize deep learning and other novel approaches that complement and improve the performance of existing algorithms in the inspection space.
• Collaborate with software and computer groups to design and implement data management, model training and inference flows.
• Bring forward creative ideas, develop proof-of-concepts, integrate algorithms into production code, and work with other team members in global project teams.
Qualifications:
Required:
• Doctorate (Academic) Degree and 0 years related work experience
• Master's Level Degree and related work experience of 3 years
• Bachelor's Level Degree and related work experience of 5 years
• Academic background required in any one of the following areas: Image Processing, Computational Imaging, Computer Vision
• Practical experience with Deep Learning, Machine Learning, or Artificial Intelligence, for images
• Capable of prototyping Algorithms using MATLAB or Python
• Implementing algorithms in C++ software under Linux
Preferred:
• Familiarity with Linear and Nonlinear Optimization techniques
• Familiarity with CUDA/GPU Programming frameworks (e.g., TensorFlow)
• Familiarity with Data Analysis and Visualization tools
Company:
Kla creates tools and services that promote innovation in the electronics industry. Founded in 1975, the company is headquartered in Milpitas, USA, with a team of 10001+ employees. The company is currently Late Stage.

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