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

Spectral AI, Inc. (Spectral) is seeking a software engineer to join our growing design and ... Experience handling GPU memory transfer, synchronization, and performance optimization * Exposure ...

Spectral AI, Inc. (Spectral) is seeking a software engineer to join our growing design and ... Experience handling GPU memory transfer, synchronization, and performance optimization * Exposure ...

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 ...

Senior Kubernetes Engineer

Dallas, TX

$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 ...

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 ...

... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... to reliable, high-performance production deployment; - Build, maintain, and scale the ...

... GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and ... to reliable, high-performance production deployment; - Build, maintain, and scale the ...

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 ...

Showing results 21-40

Gpu Performance Engineer information

See Dallas, TX salary details

$10

$59

$97

How much do gpu performance engineer jobs pay per hour?

As of Aug 14, 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 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 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:

Infographic showing various Gpu Performance Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $123,673 per year, or $59.5 per hour.

Software Engineer

Spectral MD Inc

Dallas, TX • On-site

Full-time

Re-posted 5 days ago


Job description

Position Summary:

Spectral AI, Inc. (Spectral) is seeking a software engineer to join our growing design and development team. The position is based in Dallas, Texas, with hybrid work flexibility in accordance with the Spectral Employee Handbook guidelines. This position will assist in the integration of computer vision algorithms into our Windows-based DeepView AI software. This role focuses on bridging advanced GPU-based reconstruction and segmentation algorithms with a clinical production software system, ensuring performance, stability, and regulatory readiness.

The software engineer will work closely with Data Science, Algorithm, and UI/UX teams to integrate 2D/3D segmentation, point cloud reconstruction, mesh generation, and visualization into a cohesive, multi-threaded GPU-accelerated workflow.

Key Responsibilities:

3D Reconstruction & Visualization Integration

  • Point cloud reconstruction pipelines
  • Mesh generation and texturing workflows
  • OpenGL-based visualization components

Windows Software & C# Integration

  • Integrate GPU-accelerated algorithms into an existing Windows OS–based C# application
  • Coordinate C# application logic with native GPU components (CUDA / TensorRT / OpenGL / Open3D)
  • Support MVVM-based architecture, async workflows, and UI responsiveness

GPU & Multi-Threaded System Design

  • Work with multi-threaded execution models:
  • Background CPU threads for capture, processing, and data management
  • GPU streams for segmentation, reconstruction, and visualization
  • Handle GPU initialization, warm-up, memory allocation, synchronization, and data transfer
  • Coordinate CUDA ↔ OpenGL interoperability for real-time visualization

Required Qualifications

  • Solid understanding of 3D math (matrices, vectors, quaternions, transformations), Graphics pipelines, GPU architecture
  • Hands-on experience with one or more graphics APIs: OpenGL, Direct3D, Vulkan or Metal
  • Experience integrating OpenGL/Vulkan with C# via OpenTK, Silk.NET, SharpGL, or custom interop
  • Understanding of: OpenGL context creation and lifecycle and WGL / platform-specific context management
  • Familiarity C#/.NET/C++, shader languages (HLSL, GLSL) in complex Windows desktop applications
  • Experience with multi-threaded programming and async execution models
  • Experience with 3D point clouds, meshes, and visualization
  • Familiarity with ray tracing or projection of 2D masks into 3D space
  • Understanding of mesh texturing, smoothing, and artifact handling is a plus

Preferred Qualifications:

  • Experience in medical device software development
  • Familiarity with regulated software environments (FDA, IEC 62304, ISO 13485)
  • Solid understanding of medical imaging or computational geometry pipelines
  • Experience working alongside Data Science / Algorithm teams
  • Familiarity with CUDA and Open3D
  • Experience handling GPU memory transfer, synchronization, and performance optimization
  • Exposure to Qt/C++ or cross-platform UI frameworks (future platform migration is a plus)
  • Background in computer vision, photogrammetry, or 3D reconstruction

Required Education and Experience:

  • Bachelor’s degree or above in Computer Science, software engineering, Electrical/Computer Engineering, or a related field.
  • 3–5 years of proven experience working with 3D graphics, computational geometry, or imaging pipelines involving point clouds, meshes, or segmentation workflows
  • Demonstrated proficiency in technical writing, producing accurate, comprehensive, and well-structured documentation for software.

Soft Skills

  • Excellent written and verbal communication skills in English.
  • Detail-oriented, strong analytical and problem-solving skills.
  • Ability to prepare quality software documentation suitable for regulatory review.
  • Ability to collaborate across functional teams such as engineering, QA/RA, hardware, and clinical teams.
  • Comfortable managing multiple concurrent security tasks.

Physical Requirements:

  • Prolonged periods of sitting at a desk and working on a computer.

Off-hours support:

Occasional support during off-hours for security events or release deadlines.

Equal Employment Opportunity:

Spectral AI, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.