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

NMC2

Senior Kubernetes Engineer

Dallas, TX · On-site

$120 - $160/hr

Its engineers build critical infrastructure to eliminate friction in scientific research ... GPU-accelerated container platforms at scale, enabling high-performance workloads (AI/ML, HPC, LLM ...

New

NorthMark Strategies

Senior Kubernetes Engineer

Dallas, TX · On-site

$107K - $146K/yr

The Senior Kubernetes Engineer will design, implement, and optimize GPU-accelerated container platforms, enabling high-performance workloads across hybrid or on-prem environments. Responsibilities ...

NorthMark Strategies

Senior Kubernetes Engineer

Dallas, TX · On-site

$107K - $145K/yr

Its engineers build critical infrastructure to eliminate friction in scientific research ... GPU-accelerated container platforms at scale, enabling high-performance workloads (AI/ML, HPC, LLM ...

NorthMark Strategies

Senior Kubernetes Engineer

Dallas, TX · On-site

$107K - $145K/yr

Its engineers build critical infrastructure to eliminate friction in scientific research ... GPU-accelerated container platforms at scale, enabling high-performance workloads (AI/ML, HPC, LLM ...

NMC2

Senior HPC Hardware Engineer

Dallas, TX · On-site

$140 - $190/hr

Its engineers build critical infrastructure to eliminate friction in scientific research ... performance compute fleet comprising large-scale GPU (NVIDIA V100/A100/H200/GB200) and CPU nodes ...

NorthMark Strategies

Senior HPC Hardware Engineer

Dallas, TX · On-site

$109K - $145K/yr

Its engineers build critical infrastructure to eliminate friction in scientific research ... Design, configure, and manage a high-performance compute fleet comprising large-scale GPU (NVIDIA ...

NorthMark Strategies

Senior HPC Hardware Engineer

Dallas, TX · On-site

$109K - $145K/yr

Its engineers build critical infrastructure to eliminate friction in scientific research ... Design, configure, and manage a high-performance compute fleet comprising large-scale GPU (NVIDIA ...

Celestica

Senior Staff Engineer, Software

Richardson, TX · On-site

$111K - $146K/yr

... optimized performance, engineered reliability, and a truly agile, future-ready foundation for ... Design and implement drivers, application software that drive next generation CPU and GPU systems ...

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All JobsGpu Performance Engineer JobsGpu Performance Engineer Jobs in Dallas, TX

Gpu Performance Engineer information

See Dallas, TX salary details

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How much do gpu performance engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for gpu performance engineer in Dallas, TX is $59.46, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.31 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 Dallas, TX?

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

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

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

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

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

Gpu Performance Engineer jobs near you
Infographic showing various Gpu Performance Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $123,673 per year, or $59.5 per hour.

GPU & Structured Cabling Project Manager

Total Deployment Solutions

Plano, TX • On-site

Full-time

Medical, PTO

Re-posted 4 days ago

Job description

Overview

We are seeking a highly motivated and detail-oriented GPU & Structured Cabling Project Manager to oversee and execute structured cabling projects in high-performance data center environments, with a focus on GPU and AI infrastructure. This role requires frequent travel to project sites across the country and close collaboration with engineering, construction, and IT teams.

Responsibilities:
  • Manage end-to-end structured cabling projects for data centers, including planning, execution, and close-out.
  • Coordinate with internal teams, subcontractors, and vendors to ensure timely and quality delivery.
  • Interpret and implement cabling layouts for GPU and AI workloads, ensuring compliance with industry standards and client specifications.
  • Conduct site surveys, develop scope of work (SOW), and prepare project documentation.
  • Monitor project budgets, timelines, and resource allocation.
  • Ensure adherence to safety protocols and quality assurance standards on-site.
  • Provide regular updates to stakeholders and resolve project-related issues proactively.
  • Travel frequently (up to 75%) to data center locations across the U.S.
Qualifications:
  • 3-5 years of experience in structured cabling project management, preferably in data center environments.
  • Strong understanding of cabling standards (TIA/EIA, BICSI) and best practices.
  • Experience with GPU/AI-specific cabling layouts and high-density environments is highly desirable.
  • Proficiency in reading and interpreting technical drawings and network diagrams.
  • Excellent organizational, communication, and leadership skills.
  • Ability to manage multiple projects simultaneously in a fast-paced environment.
  • PMP or RCDD certification is a plus.
  • Valid driver's license and ability to travel extensively.

Job Type: Full-time

Benefits:

  • Health insurance
  • Paid time off

For more details, visit www.totaldeployment.com.

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