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Gpu Performance Engineer Jobs in Rancho Cucamonga, CA

Barrow Wise Consulting

AI Infrastructure Engineer

Norco, CA · On-site +1

$115K - $151K/yr

The AI Infrastructure Engineer will support Barrow Wise and perform the following duties: * Assess ... performance GPU workloads. * Build deterministic, well-tested deployment tooling for airgapped ...

New

Hornet Acquisition Co LLC

Program Manager

Anaheim, CA · On-site

$150K - $170K/yr

Signia Aerospace is a global, integrated provider of high-performance systems and specialized ... Translate customer requirements into executable plans across engineering, manufacturing, supply ...

All JobsGpu Performance Engineer JobsGpu Performance Engineer Jobs in Rancho Cucamonga, CA

Gpu Performance Engineer information

See Rancho Cucamonga, CA salary details

$11

$61

$100

How much do gpu performance engineer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for gpu performance engineer in Rancho Cucamonga, CA is $61.42, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $69.52 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 Rancho Cucamonga, CA?

For Gpu Performance Engineer jobs in Rancho Cucamonga, CA, the most frequently searched job titles are:

What cities near Rancho Cucamonga, CA are hiring for Gpu Performance Engineer jobs?

Cities near Rancho Cucamonga, CA with the most Gpu Performance Engineer job openings:

Gpu Performance Engineer jobs near you
Infographic showing various Gpu Performance Engineer job openings in Rancho Cucamonga, CA as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $127,759 per year, or $61.4 per hour.

AI Infrastructure Engineer

Barrow Wise Consulting

Norco, CA • On-site

$90K - $180K/yr

Full-time

Posted 4 days ago

Job description

Enjoy problem-solving, need a venue to display your creativity, and emerging technologies pique your interest; if so, Barrow Wise Consulting, LLC is for you. As a multi-disciplined leader, you understand the gifts that set you apart from everyone else. Demonstrate innovative solutions to our clients. Join Barrow Wise Consulting, LLC today.
Responsibilities:
The AI Infrastructure Engineer will support Barrow Wise and perform the following duties:
  • Assess legacy infrastructure, identify modernization gaps, and design the next-generation AI + Data Mesh infrastructure + Zero Trust 2.0 for federal mission environments.
  • Blend AI platform engineering, secure distributed data architecture, and classified-environment deployment engineering.
  • Evaluate current systems, design modernization roadmaps, and build secure, scalable AI infrastructure capable of supporting agentic AI, RAG pipelines, autonomous workflows, and distributed data governance.
  • Identify gaps in scalability, observability, compliance, and AI readiness.
  • Design and implement scalable AI infrastructure for model inference, RAG, vector databases, agentic AI, and high-performance GPU workloads.
  • Build deterministic, well-tested deployment tooling for air-gapped, on-prem, and classified environments.
  • Produce modernization roadmaps aligned with federal cybersecurity and zero-trust requirements.
  • Collaborate with stakeholders to understand the gaps and required improvements in the various enclaves
  • Performs other duties as assigned

An Ideal Candidate has:
  • US Citizenship and Secret Clearance
  • Master's Degree or PhD in Engineering, Computer Science, Mathematics, or a related field
  • 8 years of systems engineering and AI infrastructure development expertise

Barrow Wise Consulting, LLC offers an ethical, challenging, diverse, and rewarding experience. Join us and become part of an enthusiastic, responsible team that delivers innovative solutions to our clients. We provide competitive compensation packages, attractive benefits, and great careers. Barrow Wise is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LBGT.
Our employees stand behind Barrow Wise's core values of integrity, quality, innovation, and diversity. We are confident that Barrow Wise's core values, business model, and team focus create positive career paths for our employees. Barrow Wise will continue to lead the industry in delivering new solutions to clients and persevere until the client is overjoyed.

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