1

Gpu Performance Engineer Jobs in Atlanta, GA (NOW HIRING)

DevOps/MLOps Engineer

Cumming, GA · On-site

$47 - $64.50/hr

Monitor system performance, respond to incidents, and help define and track service reliability ... GPU-based workloads or model deployment * Familiarity with monorepo build systems such as Nx or ...

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117K - $155K/yr

... GPU hardware. You will report to our Sr Data Engineering Manager and work from our Atlanta, GA ... Develop high-performance, production-ready Python APIs using FastAPI to serve as the primary ...

... and performance) of its core product lines.Such strategy calls for a position that will enable ... Knowledge or Experience in GPU programming, and perception system calibration Don't meet every ...

SoloPulse is seeking a talented Senior Software Engineer to join our dynamic and innovative ... systems and performance tuning * Hands‑on experience with NVIDIA CUDA and GPU acceleration

Principal Embedded Software Engineer Salary Range: $160,000 - $200,000 + Bonus Eligible Security ... Experience with GPU/rendering pipelines, graphics drivers, performance optimization, and hardware ...

Infrastructure / High-Performance Computing (HPC) Support Engineer We are seeking an Infrastructure ... Experience supporting High-Performance Computing (HPC), AI, GPU, or clustered compute environments

Experience deploying and troubleshooting GPU Hardware * Strong understanding of operating systems ... Ability to create and define key performance metrics to help drive efficiency * Ability to operate ...

Showing results 21-40

Gpu Performance Engineer information

See Atlanta, GA salary details

$10

$57

$94

How much do gpu performance engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for gpu performance engineer in Atlanta, GA is $57.80, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $65.43 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 Atlanta, GA?

For Gpu Performance Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What cities near Atlanta, GA are hiring for Gpu Performance Engineer jobs?

Cities near Atlanta, GA with the most Gpu Performance Engineer job openings:

Infographic showing various Gpu Performance Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $120,225 per year, or $57.8 per hour.

Site Reliability Engineer (SRE) - AI Platform & Cloud

Morgan Stanley

Alpharetta, GA • On-site

$55.75 - $74/hr

Full-time

Re-posted 15 days ago


Morgan Stanley rating

8.3

Company rating: 8.3 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

36th of 152 rated financial services


Job description

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
This is a Software Engineering position at Director level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses.
This role is for an experienced and driven Site Reliability Engineer (SRE) to join our AI Platform team to help support, scale and harden the infrastructure that powers our AI/ML systems. You will collaborate closely with infrastructure engineering, cloud engineering, data engineering, and security teams to ensure availability, reliability, performance, and security of production AI workloads (training, inference, data pipelines) in a regulated, high-stakes financial environment.
As an SRE on the AI platform, you will bring deep operations, automation, and systems engineering skills to enable our models and pipelines to run reliably at scale, while balancing cost, security, and compliance constraints.
The ideal candidate will have strong hands-on experience supporting software platforms on any combination of the following platforms - Kubernetes, Cloud (AWS, Azure, and/or Google), API based development, REST framework, data engineering, and large-scale API Gateway environments etc. Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have great communication skills, a team-based mentality and a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements.
What you'll do in the role:
  • Operate, monitor, and maintain the infrastructure supporting GenAI applications (training, inference, feature store, data ingestion, model serving)
  • Design and build automation for core platform capabilities, reducing manual toil
  • Develop and maintain infrastructure-as-code (IaC) for provisioning and managing compute, storage, network, GPU clusters, Kubernetes / container orchestration, etc.
  • Establish, monitor, and enforce SLOs/SLIs/SLAs, error budgets, alerting, and dashboards
  • Lead incident response, root cause analysis (RCA), postmortems, and systemic remediation
  • Perform capacity planning, scaling strategies, workload scheduling, and resource forecasting
  • Optimize cost vs. performance tradeoffs in large-scale compute environments
  • Harden systems for security, compliance, auditability, and data governance
  • Collaborate across teams (cloud engineers, data engineers, infrastructure, security) to ensure safe deployment, rollout, rollback, and integration of new systems
  • Define disaster recovery (DR) strategies, backup/restore practices, fault tolerance mechanisms
  • Maintain runbooks, operational playbooks, documentation, and training materials
  • Participate in on-call rotations and respond to production incidents 24/7 as needed
  • Continuously evaluate and integrate new tools, frameworks, or technologies to enhance platform reliability

What you'll bring to the role:
  • Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
  • 5 years of production experience in SRE / Infrastructure / ops for large-scale systems
  • Strong programming/scripting skills (Python, Go, Java, or equivalent)
  • Deep experience with containerization (Docker), orchestration (Kubernetes, etc.)
  • Infrastructure-as-code (Terraform, Helm, CloudFormation, Ansible, etc.)
  • Familiarity with GPU / AI compute clusters, high-performance data storage, and distributed architectures
  • Experience with monitoring / observability / logging / alerting tools (Prometheus, Grafana, ELK / EFK, Datadog, etc.)
  • Networking & systems engineering knowledge (TCP/IP, DNS, routing, load balancing, distributed storage)
  • Solid experience in capacity planning, performance tuning, scaling, and incident response
  • Demonstrated ability to lead RCAs, deploy fixes, and drive reliability improvements
  • Experience in regulated environments (financial services, compliance, audit, security) is a strong plus
  • Excellent communication, documentation, and cross-team collaboration skills
  • Proven track record of reducing operational toil via automation

Nice to have
  • Understanding of SRE techniques.
  • Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
  • Good knowledge of Microservice based architecture, industry standards, for both public and private cloud.
  • Knowledge of data pipeline technologies (Kafka, Spark, Flink, etc.)
  • Good knowledge of various DB engines (SQL, Redis, Kafka, Snowflake, etc) for cloud app storage.
  • Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
  • Experience in high-performance computing (HPC), distributed GPU cluster scheduling (e.g. Slurm, Kubernetes GPU scheduling)
  • Understanding of ModelOps/ ML Ops/ LLM Op.
  • Experience with chaos engineering, canary deployments, blue/green rollouts

We have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services.
All that we do at Morgan Stanley is driven by our five core values: do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back. These aren't just beliefs, they guide the decisions we make every day, ensuring we do what's best for our clients, communities and more than 80,000 employees around the world. And at the core of our success are the people who drive it - relentless collaborators and creative thinkers who are fueled by diverse thinking and experiences.
Wherever you are in our 1,200 global offices, you'll have the opportunity to work alongside the best and the brightest in an environment where you are empowered to achieve your full potential. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.
At Morgan Stanley Alpharetta, we support the Firm's global business and functions from Wealth Management and Institutional Securities to Technology and Operations, Finance and Human Resources. With the 2020 acquisition of E-TRADE, Morgan Stanley Alpharetta grew significantly and has grown its role in our Wealth Management business helping deliver a premiere experience for the digitally inclined investor and trader. Learn more about our work and culture in Morgan Stanley Alpharetta.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

What Morgan Stanley employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Morgan Stanley logo

About Morgan Stanley

Sourced by ZipRecruiter

Since our founding in 1935, Morgan Stanley has been committed to serving local and global communities by being a market leader in Investment Banking, Securities, Investment Management and Wealth Management services. Our belief that capital can work to benefit all of society inspires us to put our clients first, lead with exceptional ideas, hold our business to high ethical standards, and give back to communities around the world through philanthropy and public works. We have a smart casual dress code and operate under a philosophy that balances work with your personal life. Our people's talent, passion, and expertise is the fuel on which our organization runs, therefore, our people are our greatest asset. Diversity and inclusiveness is a critical component for our success and it is our priority to continue building a firm that values the unique background and identity of every one of our employees, thus enabling our people to bring their full, and best selves to work each day. Teamwork is the essence of our approach, and so are the values of integrity, excellence, and enabling our people to achieve at the highest levels. We invite you to learn more about our commitment to diversity and serving our community.

Industry

Finance and insurance and software development

Company size

10,000+ Employees

Headquarters location

New York, NY, US