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Gpu Performance Engineer Jobs in Memphis, TN (NOW HIRING)

Introl

Data Center Technician

Memphis, TN · On-site

$30 - $36/hr

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 ...

AutoZone

Systems Engineer - Cloud Ops

Memphis, TN · On-site

$54.25 - $72.50/hr

Monitor system performance using observability tools (Dynatrace, Cloud Monitoring, Prometheus ... Configure GPU-enabled node pools and optimize resource allocation for AI/ML workloads * Implement ...

SpaceX

Director, Datacenter Operations

Memphis, TN · On-site

Own the operations and performance of the physical infrastructure for xAI's data centers and ... GPU/accelerator infrastructure. * Strong background in both design/engineering and operations of ...

SpaceXAI

Manager, Facilities Operations

Memphis, TN · On-site

This role will own the day-to-day and long-term performance of mission-critical data center ... Partner closely with engineering, construction, procurement, and AI hardware teams to support new ...

FLEX Inc

Hyperscale Debug Technician

Memphis, TN · On-site

... CPU, GPU, FPGA, ASIC, memory, and power subsystems. * Diagnose high speed digital, power ... Collaborate closely with engineering to resolve functionality gaps, update debug methodologies, and ...

Flex

Hyperscale Debug Technician

Memphis, TN · On-site

... CPU, GPU, FPGA, ASIC, memory, and power subsystems. * Diagnose high speed digital, power ... Collaborate closely with engineering to resolve functionality gaps, update debug methodologies, and ...

Flextronics

Hyperscale Debug Technician

Memphis, TN · On-site

$17 - $22.50/hr

... CPU, GPU, FPGA, ASIC, memory, and power subsystems. * Diagnose high speed digital, power ... Collaborate closely with engineering to resolve functionality gaps, update debug methodologies, and ...

VOLT

Debug Technician

Memphis, TN · On-site

$28/hr

... GPU, FPGA, ASIC, memory, and power subsystems Diagnose high speed digital, power distribution, and ... Collaborate closely with engineering to resolve functionality gaps, update debug methodologies, and ...

All JobsGpu Performance Engineer JobsGpu Performance Engineer Jobs in Memphis, TN

Gpu Performance Engineer information

See Memphis, TN salary details

$10

$58

$95

How much do gpu performance engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for gpu performance engineer in Memphis, TN is $58.39, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.11 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 Memphis, TN?

For Gpu Performance Engineer jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Gpu Performance Engineer jobs in Memphis, TN look for?

The top searched job categories for Gpu Performance Engineer jobs in Memphis, TN are:

Gpu Performance Engineer jobs near you
Infographic showing various Gpu Performance Engineer job openings in Memphis, TN as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $121,451 per year, or $58.4 per hour.

Senior Artificial Intelligence Engineer

Memphis, TN • On-site

St. Jude Children's Research Hospital
Health Care and Social Assistance • 1 - 5K employees

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

43rd of 1,064 rated hospitals

People enjoy working here

Good employer

Recommended by parents

Learn more about St. Jude Children's Research Hospitalexternal

$101K - $139K/yr

Full-time

Posted 12 days ago

Job description

High Performance Research Computing (HPRC) and the Center for Bioimage Informatics (CBI) at St. Jude Children's Research Hospital are seeking a Senior AI Engineer to lead our efforts in advanced AI models, including large language models (LLMs), agentic AI systems, and multi-modal foundation models, and the secure computational infrastructure that powers them. This is a hands-on, high-ownership software systems role, not a prompt-engineering, API-integration, or purely conceptual research position. You will evaluate, fine-tune, deploy, and benchmark AI models; design and enforce safety guardrails and sandboxing for agentic systems; safeguard data security and privacy for sensitive research data; and optimize GPU/HPC resource allocation to balance performance, cost, and efficiency as models and tooling rapidly evolve. This person builds the shared AI architecture, secure environments, and best practices upon which CBI's image data scientists and software engineers rely. Deep bioimaging expertise is not required, though experience with biomedical research or imaging is a plus. This position reports to the Director of HPRC and works closely with CBI as a collaborative team member.
This is an onsite role in Memphis, TN.
Job Responsibilities:
  • Assists Research Information Services in (i) assessing institution's needs and (ii) implementing AI-enabled services on high-performance AI computing platforms.
  • Works with scientists, business stakeholders, analysts, and IS professionals in the design, development, and implementation of AI solutions and services, including technology proof-of-concepts, pilots, and the adoption lifecycle.
  • Be responsible for building new and innovative solutions leveraging data science and AI/ML skills and technologies to solve non-trivial problems.
  • Develops AI demonstration use-cases and workshop materials and provides workshops and training classes.
  • Evaluate commercial and open-source approaches in AI/ML, Data Mining, and Analytics to solve business problems.
  • Identifies, develops, and implements standards and operating procedures for solutions and systems consistent with best practices.
  • Documents current and future state architecture roadmaps and reference architectures.
  • Provides clear written and spoken communications to customers, teams, and vendors.
  • Keeps abreast of new and emerging technologies and stays adaptable to their potential applicability.
  • Performs other duties as assigned or directed to meet the goals and objectives of the department and institution.

Minimum Education and/or Training:
  • Master's degree in computer science, computer engineering, data science, information technology or related field required.
  • PhD degree in data science, computer science, computer engineering, information technology or related field preferred.

Minimum Experience:
  • 4 years in designing and developing solutions for large scale AI/Machine Learning (ML) systems and/or building solutions for a product on AI/ML features and capabilities.
  • Strong background in industry use cases built on deep learning and machine learning (unsupervised and supervised techniques) is a must.
  • Deep learning frameworks such as TensorFlow, Keras, PyTorch, Time series analysis, anomaly detection, forecasting, predictive modeling, graph- based neural networks, Bayesian statistics, and text analytics are a must.

Preferred Qualifications:
  • Hands-on experience training, fine-tuning, or adapting LLMs or multi-modal foundation models (e.g., PEFT/LoRA, instruction tuning, preference optimization), including debugging failure modes such as catastrophic forgetting or training instability.
  • Experience diagnosing and resolving distributed/multi-GPU training or inference issues (e.g., NCCL communication hangs, CUDA out-of-memory errors, load-balancing across nodes) and scheduling AI workloads on HPC (e.g., Slurm) to maximize GPU utilization.
  • Experience designing safety guardrails and sandboxing for agentic systems: tool-access scoping, prompt-injection defense, secrets management, audit logging, and containment of failures.
  • Experience optimizing inference cost, latency, and resource usage (e.g., KV-cache management, quantization, batching, speculative decoding, high-throughput serving via vLLM/TensorRT-LLM/Triton) and judgment about when a simpler deterministic pipeline is a better fit than an agentic one.
  • Experience safeguarding data security and privacy for AI systems handling sensitive research data, including access controls and institutional data-use/security policies.
  • Experience building rigorous, reproducible benchmarking/evaluation frameworks that separate genuine model improvement from prompt overfitting, retrieval effects, or evaluator bias.
  • Experience building and scaling AI/ML pipelines and workflows on HPC or cloud environments.
  • Demonstrated ownership of a system beyond the prototype stage (observability, versioning, rollback, cost control, incident response).
  • Contributions to open-source AI/ML infrastructure projects (e.g., vLLM, PyTorch, Ray, Hugging Face) or a public track record (GitHub, Hugging Face, papers) are a plus.
  • Familiarity with biomedical research, imaging, or regulated health data is a plus.
  • Demonstrated technical leadership: setting standards, mentoring, and cross-team collaboration.

Compensation
In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Senior Artificial Intelligence Engineer.
Explore our exceptional benefits!
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

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