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Gpu Performance Engineer Jobs in Arizona (NOW HIRING)

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... performance and business demand. Key Responsibilities GPU Infrastructure & Hardware Management ...

GCP Kubernetes SRE

Scottsdale, AZ ยท On-site

$57.50 - $76.25/hr

Monitor system performance and health using Prometheus and Grafana observability tools. * Apply AI ... Experience with GPU-based workloads or ML infrastructure on GCP. * Knowledge of Kubeflow, Vertex AI ...

... GPU/AI compute platforms and largescale powerdelivery clusters. You will work closely with ... We are committed to sourcing, attracting, and hiring high-performance innovators, while providing ...

In this role, you will develop and refine performance-verification infrastructure to ensure robust ... high-density GPU/AI compute platforms and large-scale power-delivery clusters. You will work ...

Sr. Software Engineer

Tucson, AZ ยท On-site

$229K - $280K/yr

Ability to communicate software and algorithm design, complexity analysis, and performance metrics ... Experience with developing GPU code using CUDA libraries * Familiarity with additional high-level ...

Assess new technologies (liquid cooling, high-density GPU cooling, exhaust filtration advancements ... and system performance analysis. Experience with BMS/SCADA systems, airflow balancing ...

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Gpu Performance Engineer information

What are some common challenges faced by GPU Performance Engineers 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 Arizona? For Gpu Performance Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Gpu Performance Engineer jobs in Arizona look for? The top searched job categories for Gpu Performance Engineer jobs in Arizona are:
What cities in Arizona are hiring for Gpu Performance Engineer jobs? Cities in Arizona with the most Gpu Performance Engineer job openings:

Data Center Technician

Introl

Litchfield Park, AZ โ€ข On-site

$22 - $35/hr

Part-time

Medical, Dental, Vision, Retirement

Posted 3 days ago


Job description

About Introl

Introl stands apart as a leader in GPU infrastructure deployments, specializing in large-scale GPU cluster deployments having deployed 100,000+ of the most advanced GPUs available. When failure is not an option, Introl delivers.

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime.

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in hyperscale data centers and advanced AI research facilities. Weโ€™re looking for exceptional talent who thrive in high-pressure, high-reward environments.

Position Overview

Introl is seeking experienced Data Center Technicians to join our team as hourly, project-based W-2 employees supporting GPU infrastructure deployment projects across the U.S. This role is ideal for individuals who enjoy hands-on technical work in fast-paced environments and are looking to contribute to high-impact, mission-critical deployments.

As a W-2 hourly employee, you will work under the direction of Introl project leadership and collaborate closely with cross-functional teams to execute data center builds, upgrades, and migrations. Assignments are project-based and may vary in duration, location, and scope depending on business needs.

This is an hourly position with compensation based on experience, project complexity, and location, with opportunities for continued project assignments based on performance and business demand.

Key Responsibilities

GPU Infrastructure & Hardware Management

Deploy, configure, and maintain large-scale GPU clusters and high-performance computing systems

Install, troubleshoot, and repair GPU servers, networking equipment, and associated hardware

Perform hardware diagnostics and coordinate large-scale fiber optic connectivity

Execute precise hardware migrations and rack installations

Data Center Operations

Monitor and maintain data center infrastructure including power, cooling, and environmental systems

Perform routine maintenance on servers, storage systems, and networking equipment

Execute data center migrations ranging from single racks to full facility relocations

Support optimal performance and availability of deployed systems

Technical Support & Troubleshooting

Diagnose and resolve complex hardware and network connectivity issues

Perform system upgrades, patches, and configuration changes

Document all work performed in accordance with company and industry standards

Quality Assurance & Safety

Adhere to applicable laws, rules, and regulations (e.g., OSHA, NEC)

Conduct quality control checks on all installations and deployments

Maintain clean room standards and proper electrostatic discharge procedures

Required Qualifications

Technical Skills

2+ years of experience in data center operations or hardware deployment

Strong knowledge of server hardware, networking equipment, and data center infrastructure

Experience with GPU systems, high-performance computing, or AI infrastructure preferred

Proficiency with fiber optic installations and network cabling

Understanding of power distribution, cooling systems, and environmental monitoring

Core Competencies

Ability to work in fast-paced, high-pressure environments

Strong problem-solving skills and attention to detail

Excellent communication and documentation abilities

Physical ability to lift up to 50 lbs. and work in confined spaces

Availability during nights, weekends, or non-standard hours as needed

Legal authorization to work in the U.S. without sponsorship

Certifications (Preferred)

CompTIA Server+ or equivalent hardware certification

Data center or network infrastructure certifications

Fiber optic installation certification

Vendor-specific certifications (NVIDIA, AMD, Intel)

Employment Structure & Expectations

This is a W-2 hourly, project-based position

Employees are scheduled and assigned to specific projects based on business needs

Work hours may vary depending on project timelines and operational requirements

Overtime may be required and will be compensated in accordance with applicable laws

Employees are expected to follow all company policies, safety standards, and reporting structures

Tools, equipment, and materials will be provided as required for project execution

Compensation & Benefits

Hourly rate commensurate with experience and project scope

Overtime eligibility in accordance with federal and state law

Access to Introl employee benefits (where applicable based on eligibility), which may include:

Medical, dental, and vision coverage

401(k) plan

Paid sick time in accordance with state/local requirements

Opportunities for continued project assignments and career growth within Introl