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Cuda Engineer Jobs in Tennessee (NOW HIRING)

Socket.dev

Lead Robotics Engineer

Nashville, TN · On-site

$170 - $210/hr

Our unique model of centralized go-to-market and decentralized engineering allows us to move with ... Robot learning (imitation/RL, VLA models), CUDA/edge deployment, and experience operating in rugged ...

Mosaic.tech

Lead Robotics Engineer, Autonomy

Cookeville, TN · On-site

$140 - $210/hr

Our unique model of centralized go-to-market and decentralized engineering allows us to move with ... Robot learning (imitation/RL, VLA models), CUDA/edge deployment, and experience operating in rugged ...

Accenture

AI & HPC Infrastructure Engineer

Morristown, TN · On-site

$93K - $122K/yr

Architect and deploy with NVIDIA platform tools including Base Command Manager (BCM), NGC, NCCL, NVLink, and CUDA along with LLM inference engines (TensorRT-LLM), production serving frameworks (vLLM ...

Accenture

AI & HPC Infrastructure Engineer

Nashville, TN · On-site

$103K - $136K/yr

Architect and deploy with NVIDIA platform tools including Base Command Manager (BCM), NGC, NCCL, NVLink, and CUDA along with LLM inference engines (TensorRT-LLM), production serving frameworks (vLLM ...

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All JobsCuda Engineer JobsCuda Engineer Jobs in Tennessee

Cuda Engineer information

See Tennessee salary details

$33.1K

$97.4K

$124.8K

How much do cuda engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for cuda engineer in Tennessee is $97,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $123,400.00 per year, depending on experience, location, and employer.

What is a CUDA engineer?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What are the key skills and qualifications needed to thrive as a CUDA engineer?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

What are some common challenges faced by CUDA engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

What are popular job titles related to Cuda Engineer jobs in Tennessee?

For Cuda Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Cuda Engineer jobs in Tennessee look for?

The top searched job categories for Cuda Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Cuda Engineer jobs?

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Cuda Engineer jobs near you
Infographic showing various Cuda Engineer job openings in Tennessee as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $97,371 per year, or $46.8 per hour.

DevOps Build & Release Engineer (Hybrid Eligible)

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 120 rated laboratories

Job description

Requisition Id 16929
Overview:
We are hiring a DevOps Build & Release Engineer. This position resides in the DevOps Engineering Team within the Research IT Infrastructure group of the Research Computing Support Division of the Information Technology Services Directorate (ITSD) at Oak Ridge National Laboratory (ORNL). This position will require a regular on-site presence. We optimize our workflows and monitoring solutions to take advantage of our 24/7 operations staff, which significantly reduces the need for off-hours support.
DevOps Engineering facilitates the delivery, operation, and monitoring of developed applications for R&D projects.
We operate within an Agile Scrum workflow and work with scientific researchers to provide automation solutions. Our success is measured by the additional capabilities, cost savings, and optimizations we provide to our research partners. To achieve this, we are growing our team and offering new capabilities. Our goal is to allow researchers to focus on their projects rather than IT concerns.
Major Duties/Responsibilities:
  • Directly collaborate with research teams to develop a suite of applications.
  • Provide support for continuous integration and delivery, configuration management, and release management throughout the SDLC.
  • Coordinate with the team to identify, track and address priorities, discrepancies, dependencies, and risks associated with releases, while ensuring alignment with proper processes.
  • Collaborate with the HPC engineering team to optimize solutions for performance and scalability in HPC environments. Collaboration with colleagues across the organization is imperative to ensure the delivery of secure solutions in compliance with Internal Operating Procedures.
  • Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success.

Our Stack and Workflow:
  • Work planning and documentation - Gitlab, Jira/Confluence.
  • Code repository, CI/CD - Gitlab.
  • Configuration and Package Management - Spack, Pip.
  • Container System/Orchestration - Apptainer, Kubernetes, Podman.
  • Monitoring, Analytics and Visualization - Prometheus, Grafana, Elasticsearch, Checkmarx.
  • Other leveraged technologies include, but are not limited to Slurm, MPI, CUDA, and Harbor depending on program needs.

Basic Qualifications:
  • BS degree in computer science, computer engineering, information systems or a related field, and 5 years of relevant professional experience (or an equivalent combination of education and experience will be considered).
  • 3+ years of experience leading or coordinating Software Development Lifecycle (SDLC) processes.
  • Hands-on experience with Linux-based software development, including software builds, CI workflows, and troubleshooting in multi-user environments.
  • Experience using Git and building CI/CD pipelines with tools such as GitLab CI, Jenkins, or similar.
  • Proficiency with Bash/shell scripting and Python for automation.
  • Experience with compiler toolchains (GCC, Clang, Intel) and build systems such as CMake or Make.
  • Ability to diagnose and resolve software build and runtime issues, including dependency, ABI, linker/loader, permissions, and environment conflicts.
  • Experience building and deploying software with package/build managers such as Spack or similar tools.
  • Experience developing and maintaining technical documentation, including build guides, release notes, and operational runbooks.

Preferred Qualifications:
  • Active DOE Q Clearance.
  • Familiarity with C/C++ sufficient to debug build issues and make minor fixes.
  • Experience supporting software builds and CI workflows in an HPC environment (e.g., Slurm job submission and debugging).
  • Experience creating and maintaining environment modulefiles (Lmod/Environment Modules), managing defaults, and minimizing version conflicts.
  • Experience with HPC-appropriate container workflow (Apptainer/Singularity preferred).
  • Familiarity with CUDA toolchains and building GPU-enabled software.
  • Experience with automation/configuration management tools (e.g., Ansible, Puppet, or similar).
  • Experience developing tools for use on multiple operating systems.
  • Experience with performance/diagnostic tools used in research computing environment (profiling/benchmarking, analysis).
  • Experience with automated code quality/security tools (e.g., Sonarqube, Checkmarx).
  • Previous experience working in a government, scientific, or other highly technical and/or security-conscious environment; ability to balance research productivity and security requirements.
  • Strong interpersonal skills and customer-oriented communication suitable for supporting research users.

Special Requirements:
  • Visa sponsorship: Visa sponsorship is not available for this position.
  • Security, Credentialing, and Eligibility Requirements: Q Clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.
  • For Hybrid eligible positions: In addition, we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position.

About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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