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Gpu Performance Engineer Jobs in Rio Rancho, NM (NOW HIRING)

HPC Cloud Engineer

Albuquerque, NM · On-site

$8.5K - $12K/mo

  • Medical

  • Dental

  • Vision

  • Life

Core IT Svcs Splst,Sr Requisition ID req36998 Working Title HPC Cloud Engineer Position Grade 16 ... high-performance computing environments. * Experience designing and managing HPC and GPU-based ...

HPC Cloud Engineer

Albuquerque, NM · On-site

$8.5K - $12K/mo

  • Medical

  • Dental

  • Vision

  • Life

Core IT Svcs Splst,Sr Requisition ID req36998 Working Title HPC Cloud Engineer Position Grade 16 ... high-performance computing environments. * Experience designing and managing HPC and GPU-based ...

Senior AI Systems Engineer

Albuquerque, NM · On-site +1

$95K - $130K/yr

Maintain observability across AI systems through logging, metrics, performance monitoring, alerting ... Experience with GPU-based systems or running AI models in HPC environments. * Experience writing ...

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Gpu Performance Engineer information

See Rio Rancho, NM salary details

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$56

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How much do gpu performance engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for gpu performance engineer in Rio Rancho, NM is $56.54, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.99 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 job categories do people searching Gpu Performance Engineer jobs in Rio Rancho, NM look for?

The top searched job categories for Gpu Performance Engineer jobs in Rio Rancho, NM are:

Infographic showing various Gpu Performance Engineer job openings in Rio Rancho, NM as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $117,593 per year, or $56.5 per hour.

HPC Cloud Engineer

University of New Mexico

Albuquerque, NM • On-site

$8.5K - $12K/mo

Other

Medical, Dental, Vision, Life

Re-posted 3 days ago


University Of New Mexico rating

8.4

Company rating: 8.4 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

99th of 619 rated colleges and universities


Job description

Core IT Svcs Splst,Sr
Requisition ID
req36998
Working Title
HPC Cloud Engineer
Position Grade
16
Position Summary
The University of New Mexico Health Sciences IT (HSIT) department is seekinga senior-level technical professional to provide advanced leadership andoperational support for high-performance and data-intensive research computingenvironments that serve health sciences initiatives. This role is central toenabling data-driven research, bioinformatics, and artificial intelligence inhealthcare through secure, reliable hybrid computing infrastructure spanning on-premisessystems, cloud platforms, and high-speed research networks. The position playsa key role in supporting grant-funded research and ensuring research computingservices remain compliant, scalable, and sustainable.
Under general direction, the successful candidate will serve as a principaltechnical resource and subject-matter expert for research computing, workingclosely with researchers, principal investigators, HSIT, and informationsecurity teams. Responsibilities include designing, implementing, and operatinghybrid research environments; supporting secure computing and enclaveoperations; and enabling advanced research workflows through high-performancecomputing (HPC), GPU accelerated systems, high-speed data transfer capabilitiesand low latency interconnect technologies. This role requires strongcollaboration skills and the ability to translate complex research needs intorobust technical solutions.
This position offers an opportunity to directly support nationally competitiveresearch by contributing to the design and evolution of criticalinfrastructure, monitoring emerging technologies, and identifying strategicimprovements in high-performance computing, cloud services, and secure researchenvironments. The role also contributes to infrastructure planning, costprojections, and sustainability efforts that support ongoing and futureexternally funded research initiatives.
This is a hybrid position. To be considered for the position, candidates mustsubmit a cover letter, completed UNM application, a resume and at least 3professional references.
UNM HSC has earned a national and international reputation for its integrated education, patient care, research and partnership initiatives which address the unique healthcare needs of New Mexico's urban and rural populations. (;br>
See the Position Description for additional information.
Conditions of Employment
  • Must pass a pre-employment criminal background check.
  • May be required to pass post-offer, pre-employment physical examination and medical history check.

Minimum Qualifications
Bachelor's degree; at least 5 years of experience directly related to the duties and responsibilities specified.
Completed degree(s) from an accredited institution and/or experience that is directly related to the duties and responsibilities specified may be interchangeable on a year-for-year basis.
Preferred Qualifications
  • Demonstrated experience designing, implementing, and supporting high-performance computing (HPC) or large-scale research computing environments.
  • Experience administering and integrating hybrid computing infrastructures, including on-premises systems and major cloud platforms.
  • Experience supporting secure or restricted research computing environments, such as security enclaves or regulated healthcare or research systems.
  • Hands-on experience with Linux system administration and management in research or high-performance computing environments.
  • Experience designing and managing HPC and GPU-based server infrastructure to support compute-intensive workloads.
  • Familiarity with high-speed research networking, including Internet2 (I2) connectivity and related architectures.
  • Familiarity with high-speed interconnect technologies (e.g., InfiniBand) supporting low-latency, high-throughput computing environments.
  • Experience implementing and supporting high-performancedata transfer solutions, such as Globus.
  • Experience with research cloud governance and environments, including AWS Control Tower and Azure research tenants (e.g., NIH STRIDES-aligned environments).
  • Knowledge of system hardening, access controls, and security best practices for infrastructure supporting sensitive research data.
  • Experience collaborating with researchers, principal investigators, and IT/security teams in support of grant-funded projects.
  • Ability to analyze complex technical requirements and recommend scalable, sustainable architectures aligned with institutional standards.
  • Demonstrated ability to work independently while providing senior-level technical leadership in complex research computing environments.

Additional Requirements
Campus
Health Sciences Center (HSC) - Albuquerque, NM
Department
HSC CIO Office (340B)
Employment Type
Staff
Staff Type
Regular - Full-Time
Term End Date
Status
Exempt
Pay
Monthly: $8,528.00-$12,500.80
Benefits Eligible
This is a benefits eligible position. The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for a more information.
ERB Statement
As a condition of employment, eligible employees working greater than .25 FTE as determined by the New Mexico Education Retirement Act must make mandatory retirement contributions. For more information, review the Benefits Eligibility at a Glance grid.
Background Check Required
Yes
For Best Consideration Date
7/7/2026
Eligible for Remote Work
Yes
Eligible for Remote Work Statement
This position is eligible for a remote work agreement (RWA), to include Hybrid, for more information about Remote Work Agreements, please refer to UAP 3245, Remote Work, Section 5.
Application Instructions
Only applications submitted through the official UNMJobs site will be accepted. If you are viewing this job advertisement on a 3rd party site, please visit UNMJobs to submit an application.
Resume, Cover Letter, complete UNMJob Application and 3 professional references.
Positions posted with a Staff Type of Regular or Term are eligible for the Veteran Preference Program. See the Veteran Preference Program webpage for additional details.
The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.
The University of New Mexico requires all regular staff positions successfully pass a pre-employment background check. This may include, but is not limited to, a criminal history background check, New Mexico Department of Health fingerprint screening, New Mexico Children, Youth, and Families Department fingerprint screening, verification of education credentials, and/or verification of prior employment. For more information about background checks, visit Refer to for a definition of Regular Staff.

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