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Gpu Performance Engineer Jobs in Houston, TX (NOW HIRING)

Automation Engineer

Houston, TX · On-site

$85 - $110/hr

... GPU assemblies, components, and repair materials throughout the facility. * Coordinate with ... Analyze automation performance and downtime data to identify bottlenecks, recurring failures ...

... GPU platforms, networking equipment, high-performance computing, or complex electronic systems ... Experience programming or scripting in C#, Python, C/C++, LabVIEW, or similar languages preferred.

As an HPC/AI Technical Solution Engineer, you will operate in the zone where HPC performance, cloud transformation, AI/GPU infrastructure, and customer business outcomes meet. You will play a key ...

... GPU assemblies, components, and repair materials throughout the facility. * Coordinate with ... Analyze automation performance and downtime data to identify bottlenecks, recurring failures ...

... GPU assemblies, components, and repair materials throughout the facility. * Coordinate with ... Analyze automation performance and downtime data to identify bottlenecks, recurring failures ...

... GPU assemblies, components, and repair materials throughout the facility. * Coordinate with ... Analyze automation performance and downtime data to identify bottlenecks, recurring failures ...

... AI servers, GPU systems, networking equipment, storage platforms, and other high-performance ... Support engineering technicians and repair operations with technical troubleshooting, process ...

... AI servers, GPU systems, networking equipment, storage platforms, and other high-performance ... Support engineering technicians and repair operations with technical troubleshooting, process ...

... AI servers, GPU systems, networking equipment, storage platforms, and other high-performance ... Support engineering technicians and repair operations with technical troubleshooting, process ...

... GPU platforms, server motherboards, power systems, networking hardware, storage systems, and other high-performance computing equipment. * Lead engineering projects to identify electrical and ...

... GPU platforms, server motherboards, power systems, networking hardware, storage systems, and other high-performance computing equipment. * Lead engineering projects to identify electrical and ...

... GPU platforms, server motherboards, power systems, networking hardware, storage systems, and other high-performance computing equipment. * Lead engineering projects to identify electrical and ...

Provide technical leadership for the diagnosis, repair, and validation of AI servers, GPU systems ... Prepare and present technical reports, engineering reviews, performance metrics, and customer ...

Provide technical leadership for the diagnosis, repair, and validation of AI servers, GPU systems ... Prepare and present technical reports, engineering reviews, performance metrics, and customer ...

Provide technical leadership for the diagnosis, repair, and validation of AI servers, GPU systems ... Prepare and present technical reports, engineering reviews, performance metrics, and customer ...

Showing results 41-60

Gpu Performance Engineer information

See Houston, TX salary details

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$57

$93

How much do gpu performance engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for gpu performance engineer in Houston, TX is $57.40, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $64.95 per hour, depending on experience, location, and employer.

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 Houston, TX?

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

What job categories do people searching Gpu Performance Engineer jobs in Houston, TX look for?

The top searched job categories for Gpu Performance Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Gpu Performance Engineer jobs?

Cities near Houston, TX with the most Gpu Performance Engineer job openings:

Infographic showing various Gpu Performance Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 2% Temporary, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $119,389 per year, or $57.4 per hour.

Automation Engineer

Csat Solutions

Houston, TX • On-site

$85 - $110/hr

Other

Posted 23 days ago


Job description

CSAT Solutions has always emphasized that outstanding people are the key to our success. We know that outstanding candidates are looking for challenging career opportunities. If you are a highly motivated individual with an entrepreneurial spirit, CSAT Solutions may have a career for you. We invite you to explore the current opportunities available at CSAT Solutions.

We are currently seeking qualified candidates to fill the role of a Automation Engineer for AI server repair.

Role and Responsibilities
  • Support the design, integration, installation, commissioning, validation, and optimization of automation systems supporting AI server repair, reverse logistics, material handling, testing, and warehouse operations.
  • Provide engineering support for medium- to large-scale automation and capital projects, including projects involving automated storage and retrieval systems (AS/RS), autonomous mobile robots (AMRs), automated guided vehicles (AGVs), conveyors, sortation systems, robotic material handling, and goods-to-person technologies.
  • Utilize programmable logic controllers (PLCs), human-machine interfaces (HMIs), sensors, controls, and automation software to troubleshoot, optimize, and improve automated equipment and processes.
  • Troubleshoot PLC logic, sensors, actuators, motors, drives, scanners, vision systems, communication networks, and other automation components to identify and resolve equipment and process issues.
  • Partnering with other functional teams, develop and implement automation solutions that improve the movement, identification, tracking, and control of high-value AI servers, GPU assemblies, components, and repair materials throughout the facility.
  • Coordinate with equipment suppliers, contractors, integrators, and technology providers during system design, installation, integration, commissioning, and acceptance testing.
  • Develop project plans, schedules, technical requirements, equipment specifications, acceptance criteria, and implementation plans for assigned automation projects.
  • Analyze automation performance and downtime data to identify bottlenecks, recurring failures, capacity constraints, and opportunities for improvement.
  • Develop and maintain documentation including system configurations, PLC and controls documentation, process flows, equipment specifications, preventive maintenance requirements, troubleshooting guides, and standard operating procedures.
  • Coordinate and support Lean, Six Sigma, 5S, Kaizen, and other continuous improvement initiatives within automated warehouse and repair operations.
  • Evaluate emerging automation technologies, robotics, artificial intelligence, machine vision, and data analytics solutions that may improve AI server repair operations.
  • Develop KPI dashboards and analytical reports to monitor automation performance, including throughput, utilization, downtime, cycle time, system availability, and labor productivity.
  • Provide regular project and operational updates to Engineering and Operations leadership and participate in project reviews, customer meetings, and operational planning activities.
  • Ensure automation projects and equipment comply with applicable OSHA, electrical, machine safety, and company requirements.
  • Support employee training and knowledge transfer for operators, technicians, maintenance personnel, and engineering staff.
  • Perform other engineering projects and duties as assigned.
Education, Training and Skills
  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, Industrial Engineering, Mechatronics, Automation Engineering, or a related technical discipline required.
  • Two (2) to three (3) years of experience in automation engineering, controls engineering, process engineering, manufacturing engineering, warehouse automation, or a related engineering role.
  • Experience supporting warehouse, distribution, manufacturing, electronics repair, reverse logistics, or high-technology operations preferred.
  • Experience with AI server, GPU, electronics, or high-value technology repair operations strongly preferred.
  • Demonstrated experience with PLC-controlled automation systems, industrial controls, sensors, drives, motors, HMIs, and industrial communication networks.
  • Experience integrating or supporting AMRs, AGVs, AS/RS, conveyors, sortation systems, robotic systems, or other goods-to-person technologies preferred.
  • Experience with PLC programming and troubleshooting; Siemens, Allen-Bradley/Rockwell, or similar platforms preferred.
  • Strong understanding of automated material handling, system controls, equipment integration, and industrial safety.
  • Experience participating in automation system commissioning, FAT/SAT, equipment validation, and production implementation.
  • Strong knowledge of Lean Six Sigma, 5S, Kaizen, process mapping, and structured problem‑solving methodologies.
  • Advanced Microsoft Excel skills with the ability to analyze large operational datasets and develop meaningful reports and dashboards.
  • Experience with Power BI, SQL databases, Python, or other data analytics and visualization tools preferred.
  • Experience developing process maps and facility layouts using Microsoft Visio, AutoCAD, or similar software preferred.
  • Strong analytical and problem-solving skills with the ability to use data to identify root causes and make business decisions.
  • Strong project management and organizational skills with the ability to manage multiple projects and competing priorities.
  • Excellent written and verbal communication skills with the ability to communicate effectively with engineers, technicians, operations personnel, vendors, contractors, and leadership.
  • Demonstrated ability to work independently, take ownership of projects, and operate effectively in a fast-paced, high-growth environment.
CSAT Solutions LP is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age or other legally protected status.
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About CSAT SOLUTIONS

Sourced by ZipRecruiter

Industry

Computer and peripheral equipment manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

Year founded

1992

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