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Gpu Performance Engineer Jobs in Ohio (NOW HIRING)

Booz Allen Hamilton

Mid AI/ML Engineer

Dayton, OH · On-site

$77K - $176K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of applications and processes. * Contribute to the architecture and implementation of novel approaches for rapidly ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives ... Exposure to GPU-based or edge inference environments. * Bachelor's or Master's degree in Computer ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives ... Exposure to GPU-based or edge inference environments. * Bachelor's or Master's degree in Computer ...

Kestrel Vision

Software Engineer Tech Lead

Solon, OH · On-site

Contribute to high-performance applications involving image processing and real-time data handling ... Exposure to AI, GPU computing, or advanced vision technologies is a plus What we offer * A truly ...

Introl

Data Center Technician

Columbus, OH · On-site

$30 - $36/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 ...

Introl

Data Center Technician

Springfield, OH · On-site

$30 - $36/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 ...

Anduril Industries

Senior IT Systems Engineer

Ashville, OH

$95K - $130K/yr

Monitor, maintain, and optimize the performance and reliability of critical infrastructure systems ... GPU/CPU HPC experience a plus * Experience with monitoring and logging tools such as Prometheus ...

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Gpu Performance Engineer information

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 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.

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

Computer Scientist

Radiance Technologies

Beavercreek, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 13 days ago

Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.
Radiance is seeking a talented Software Engineer to support the development, integration, and optimization of advanced scientific computing applications and Electro-Optical & Infrared (EO/IR) sensor Modeling and Simulation (M&S) technologies. This role will contribute to the evaluation, development, and integration of capabilities within an existing MATLAB and Rust software environment. In this role you will work closely with a team of software engineers and subject matter experts to extend and integrate physics-based M&S capabilities.
The ideal candidate will have strong scientific programming experience, proficiency with compiled languages, and experience working in Linux and Windows environments. Experience with Rust, CUDA, and high-performance computing is highly desirable. This position is ideal for a software engineer interested in scientific computing, high-performance software development, and next-generation sensing technologies.
Responsibilities
  • Develop and maintain scientific computing software applications.

  • Evaluate existing EO/IR camera models developing improvements for accuracy and efficiency.

  • Design, develop, and integrate solutions into existing software frameworks.

  • Develop and integrate custom physics-based models under the guidance of phenomenology subject matter experts.

  • Collaborate with multidisciplinary teams to integrate capabilities into existing Rust codebases.

  • Convert and optimize existing MATLAB code bases into compiled RUST applications for CPU and GPU processing.

  • Optimize computational performance for CPU- and GPU-based applications.

  • Contribute to software testing, validation, and continuous integration and deployment (CI/CD) efforts.

  • Utilize version control and software development best practices throughout the development lifecycle.

  • Support deployment and operational use of developed algorithms and software solutions.

Required Qualifications
  • US Citizen, eligible and willing to obtain a TS/SCI Security Clearance.

  • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Physics, Mathematics, or a related technical field.

  • Experience with scientific programming and computational software development.

  • Proficiency with one or more compiled programming languages (such as C++, Rust, or similar).

  • Experience developing software in both Linux and Windows environments.

  • Experience with one or more scientific computing tools, including MATLAB and or Python.

  • Experience using Git or other version control systems.

Preferred Qualifications
  • Rust software development, including at least two years of experience developing and deploying operational Rust applications or algorithms.

  • GPU acceleration and optimization using CUDA.

  • CPU performance optimization and high-performance computing techniques.

  • Continuous Integration/Continuous Deployment (CI/CD) pipelines and DevOps practices.

  • Real-time signal processing, sensor modeling, or simulation environments.

  • Event-based cameras or event-based sensing technologies.

  • Experience working with EO/IR sensor data and radiative transfer models.

  • Understanding of EO/IR sensor phenomenology and atmospheric effects.

  • Active Secret or Top-Secret Security Clearance.

Desired Technical Skills
  • Rust

  • MATLAB

  • Python

  • CUDA

  • Git

  • Scientific computing

  • GPU and CPU performance optimization

  • CI/CD pipelines

  • Remote Sensing Fundamentals

Radiance Technologies 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, or protected veteran status.

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