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Gpu Performance Engineer Jobs in Texas (NOW HIRING)

Apple

Graphics (GPU) Performance Modeling Engineer

Austin, TX · On-site

$138K - $171K/yr

Description As a Performance Modeling Engineer you will be part of a team that is defining and optimizing Apple's GPU micro-architecture. With others you will seek out areas for improvement while ...

Apple

Graphics (GPU) Performance Modeling Engineer

Austin, TX · On-site

$138K - $171K/yr

Description As a Performance Modeling Engineer you will be part of a team that is defining and optimizing Apple's GPU micro-architecture. With others you will seek out areas for improvement while ...

Nvidia

Senior Performance Engineer - DGX Cloud

Austin, TX · On-site

$103K - $142K/yr

Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements. * Communicate performance findings, tradeoffs, and recommendations clearly ...

Bot Auto

GPU Engineer

Houston, TX · On-site

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... Optimize end-to-end GPU performance for real-time autonomous driving workloads , including sensor ...

Bot Auto

GPU Engineer

Houston, TX · On-site

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... Optimize end-to-end GPU performance for real-time autonomous driving workloads , including sensor ...

New

Dexian DISYS

Power & Performance Engineer

Austin, TX · On-site

Power & Performance Engineer Austin, TX 6 + Months Role: Validate post-silicon power for gaming ... CPU/GPU testing and Python firmware knowledge. Dexian stands at the forefront of Talent ...

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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 Texas? For Gpu Performance Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Gpu Performance Engineer jobs in Texas look for? The top searched job categories for Gpu Performance Engineer jobs in Texas are:
What cities in Texas are hiring for Gpu Performance Engineer jobs? Cities in Texas with the most Gpu Performance Engineer job openings:
Gpu Performance Engineer jobs near you
Infographic showing various Gpu Performance Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.

Graphics (GPU) Performance Modeling Engineer

Apple

Austin, TX • On-site

$138K - $171K/yr

Full-time

Re-posted 9 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Do you have an uncommon desire to seek out and solve exceedingly difficult challenges rather than the easy ones? Do you believe that truly valuable, and meaningful accomplishments are the result of pushing the limits of perseverance? Do you believe that a world-class team with relentless drive can surpass even their own high expectations?
We do! But we also realize this job isn't for everyone. What we do is not easy but you do not take the easy path. We are seeking a highly motivated, innovative, and confident individuals to join the GPU Performance Modeling Team; we are a group that is driving advanced exploration for next generation GPU architectures and micro-architectures. In this highly visible role, you will be at the center of a chip design effort working with all disciplines, with a critical impact on getting high performant products to millions of customers quickly.
Description
As a Performance Modeling Engineer you will be part of a team that is defining and optimizing Apple's GPU micro-architecture. With others you will seek out areas for improvement while collecting data and measurements that either confirm the idea or rule it out. You will collaborate with experienced designers in micro-architecture and RTL to assess the feasibility of ideas, refine ideas, and seed new ones.
The role requires the analysis of interesting workloads across existing and new product categories to identify bottlenecks and opportunities for improvement. You'll be architecting new simulator features and brainstorming novel ideas to boost simulation performance. You'll collaborate with world-class GPU and SoC Architects to steer and improve the implementation of GPU simulators and performance models used for research, performance analysis, and microarchitecture tuning. We also cross-collaborate as a larger architecture and performance team to maintain and improve the simulation environment and look for ways to boost the productivity of the entire team .
In this position you will be expected to:
- C++ performance modeling of proposed architectural solutions and features.
- Gathering, analyzing, and validating measured and simulated results to compare architectural design alternatives.
- Carefully analyze and present results to enable data specific architecture/design.
- Writing architectural specification documents in collaboration with engineers across different disciplines.
- Work with the multi-functional teams to develop architectural solutions.
- Improve Apple's modeling platform by developing APIs, tools, and optimal standard examples that can be used throughout the company.
Minimum Qualifications
Minimum of BS + 3 years of relevant experience.
Preferred Qualifications
Familiarity with a range of performance and/or power simulation environments
Strong coding skills including object-oriented programming with C & C++
Strong understanding of common data structures and algorithms
Knowledgeable in software design patterns
Knowledge of scripting languages such as Perl, Python, or Ruby
You should have strong knowledge of computer architecture & micro-architecture
Be comfortable in an environment of uncertainty and able to work through ambiguities
You will need strong communication, influence and negotiation skills to enable right data driven decisions are taken
Experience in C++ programming.
Experience with C++ modeling of Computer Architectures.
Experience with scripting languages Python, Ruby, or Perl.

What Apple employees say

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Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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