1

Gpu Performance Engineer Jobs in California (NOW HIRING)

... GPU clusters. Our Scorpio scale-up fabric switches are purpose-built to unlock the performance of ... Engineer to demonstrate the real-world value of our silicon where it matters most: on real ...

Required : • Strong systems engineering background, especially in performance-critical software • Experience with GPU systems, distributed systems, inference serving, ML runtimes, or high ...

Required : • Strong systems engineering background, especially in performance-critical software • Experience with GPU systems, distributed systems, inference serving, ML runtimes, or high ...

As a Performance Engineer, you'll be responsible for identifying these problems, and then ... GPU/Accelerator programming * ML framework internals * OS internals * Language modeling with ...

Showing results 41-60

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 job categories do people searching Gpu Performance Engineer jobs in California look for? The top searched job categories for Gpu Performance Engineer jobs in California are:
What cities in California are hiring for Gpu Performance Engineer jobs? Cities in California with the most Gpu Performance Engineer job openings:
Infographic showing various Gpu Performance Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Staff Engineer, GPU Graphic Core Performance Verification

Samsung Electronics

San Jose, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

125th of 156 rated electronics manufacturers


Job description

Position Summary

Samsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy - the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC) and Advanced Computing Lab (ACL), we are building a center of excellence for Intellectual Property (IP) that is applied to high-performance computing devices (mobile, automotive, and other custom market segments) consumed by millions of people around the world. Come build with us!

Role and Responsibilities

As a Staff GPU Graphics Core Performance Verification Engineer, you will help lead pre-silicon performance verification and correlation for Samsung's next-generation GPU and system-level IP. Your work will directly influence architectural validation, performance predictability, and workload optimization by ensuring GPU designs meet targeted performance expectations across architectural models, emulation, and silicon environments.

In this high-impact individual contributor role, you will contribute to performance verification strategy, develop scalable test infrastructure, and analyze GPU performance behavior across complex graphics and compute workloads. You will partner closely with GPU architecture, modeling, RTL, and validation teams to identify bottlenecks, debug performance issues, and guide performance tuning from early architectural exploration through silicon bring-up.

  • Leveraging your expertise in GPU architecture and performance analysis, you architect and drive pre-silicon performance verification strategies, methodologies, and execution flows for graphics core and GPU subsystem validation.
  • You develop and maintain performance verification infrastructure, including test environments, workloads, profiling tools, automation, and scalable verification flows to characterize GPU performance across simulation, emulation, and architectural platforms.
  • You ensure technical excellence by analyzing, correlating, and comparing performance behavior across architectural models, RTL, emulation, and silicon, identifying bottlenecks and driving data-driven optimization strategies
  • You lead cross-functional collaboration with GPU architecture, Modeling, RTL, Verification, and Software teams to define performance targets, debug performance issues, align workload behavior with architectural intent, and improve overall GPU efficiency and scalability
  • You inspire high performance by mentoring engineers, advancing performance verification methodologies, and fostering a culture of ownership, innovation, and continuous learning while staying ahead of emerging GPU architectures, graphics workloads, and AI/ML compute trends.

Skills and Qualifications

  • 6+ years of experience with a Bachelor's degree in Computer Science/Computer Engineering/relevant technical field, or 4+ years of experience with a Master's degree, or 2+ years of experience with a PhD.
  • Strong experience in GPU performance verification, architectural validation, workload analysis, or performance modeling for GPU, CPU, or complex SoC designs
  • Strong understanding of GPU architecture, graphics pipelines, compute workloads, and microarchitecture performance behavior
  • Strong hands-on programming experience in C++ and Python within Linux development environments
  • Experience developing performance tests, profiling infrastructure, automation frameworks, and workload characterization methodologies
  • Strong experience analyzing and correlating performance behavior across architectural models, RTL simulation, emulation, and/or silicon environments
  • Familiarity with graphics and compute APIs such as OpenGL, Vulkan, OpenCL, or related GPU software stacks
  • Excellent analytical and problem-solving skills, with the ability to identify bottlenecks, propose solutions and guide teams through implementation.
  • Excellent communication and collaboration skills, with the ability to navigate ambiguity and influence in a fast-paced, global team environment.

Preferred Qualifications:

  • Experience with SystemC, performance simulators, or cycle-approximate GPU modeling environments
  • Experience with RTL verification, emulation, or post-silicon performance analysis
  • Familiarity with AI/ML, graphics rendering, or heterogeneous compute workloads
  • Experience with Sparta or other hardware/system modeling frameworks

Our Team

The GPU Architect team delivers whole system architecture-level design for Samsung's current and next-generation mobile GPUs. Our work spans a wide range of disciplines-from early-stage architectural exploration and research in graphics and machine learning, to shaping the GPU innovation roadmap, defining new features, building models, and delivering microarchitecture design and programming. Our Xclipse GPU is the first mobile GPU with ray tracing technology that enables console-level graphics for Samsung Galaxy smartphones.

Joining our team means collaborating with talented engineers from diverse technical backgrounds across a global organization. Here you'll contribute to the roadmap for next-generation technologies, broaden your expertise, and solve impactful challenges in a supportive environment that values collaboration, continuous learning, and growth.

Total Rewards

At Samsung - SARC/ACL, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $167,800 and $251,800. Your actualbase pay will depend on variables that may includeyour educationskills, qualifications, experience, and worklocation.

Samsung employees have access to benefits including: medical, dental, vision, life insurance, 401(k), onsite lunch, employee purchase program, tuition assistance (after 6 months), paid time off, student loan program, wellness incentives, and many more. In addition, regular full-time employees (salaried or hourly) are eligible for MBO bonus compensation, based on company, division, and individual performance.

Additionally, this role might be eligible to participate in long term incentive plan and relocation.

This is an exempt position, which is not eligible for overtime pay under the Fair Labor Standards Act (FLSA).

Trade Secrets

By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

U.S. Export Control

This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.

#SARC #ACL

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here.

* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.


What Samsung Electronics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom