2

Remote Gpu Programming Jobs in Tennessee (NOW HIRING)

Remote Gpu Programming information

What are some common challenges faced by professionals in remote GPU programming roles, and how can they be addressed?

Remote GPU programming roles often involve unique challenges such as managing high-latency connections to remote servers, troubleshooting hardware-specific issues without physical access, and ensuring code compatibility across different GPU architectures. Effective communication with distributed teams is crucial, as is using robust remote debugging tools and version control systems. Staying proactive with documentation and regularly syncing with team members can help address these obstacles and support successful project delivery.

What is remote GPU programming?

Remote GPU programming refers to the practice of developing and running code that utilizes graphics processing units (GPUs) on computers or servers that are accessed over a network, rather than on your local machine. This approach allows developers to leverage powerful, often cloud-based, GPU resources to handle computationally intensive tasks like machine learning, scientific simulations, or rendering without needing specialized hardware themselves. It often involves using remote desktop tools, cloud platforms, or custom APIs to access and manage GPU resources remotely.

What are the key skills and qualifications needed to thrive as a Remote GPU Programmer, and why are they important?

To thrive as a Remote GPU Programmer, you need in-depth knowledge of parallel computing, proficiency in programming languages like C/C++, and experience with GPU architectures, often backed by a degree in computer science or a related field. Familiarity with technical tools such as CUDA, OpenCL, and GPU profiling/debugging systems is commonly required, along with certifications in GPU programming or high-performance computing. Strong problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in distributed teams. These competencies are crucial for efficiently developing and optimizing GPU-accelerated applications while collaborating across remote environments.
What are popular job titles related to Remote Gpu Programming jobs in Tennessee? For Remote Gpu Programming jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Gpu Programming jobs in Tennessee look for? The top searched job categories for Remote Gpu Programming jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Gpu Programming jobs? Cities in Tennessee with the most Remote Gpu Programming job openings:
Research Software Engineer

Research Software Engineer

Oak Ridge National Laboratory

Oak Ridge, TN • On-site, Remote

$196K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

3rd of 103 rated laboratories


Job description

Requisition Id 16566 

­­Overview:  

We are seeking a Research Software Engineer to join the Incident Modeling and Computational Sciences (IMCS) Group in the National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL). IMCS develops and maintains state-of-the-art modeling and simulation tools supporting nuclear forensics, nuclear weapon effects, radiological consequence management, and other needs for DOE, DOW, and DHS sponsors. In this role, you will design, develop, and operate enterprise AI and data infrastructure, helping to build, maintain, and scale Docker-based microservices, large language model (LLM) inference servers on GPU clusters, vector database and retrieval-augmented generation (RAG) pipelines, and observability stacks that advance AI capabilities across the laboratory. The successful candidate will work independently and collaboratively with a multidisciplinary team of scientists, data engineers, and system administrators to deliver reliable, secure, and high-performance AI services to ORNL researchers.

Basic Qualifications:

  • A BS degree in computer science, software engineering, or a related technical field and a minimum of five years of relevant experience. A combination of education and experience may also be considered.
  • Experience with software development life cycle, including version control with Git, code review practices, and collaborative development workflows.
  • Experience writing and maintaining production-quality code in Python, with exposure to one or more additional languages (e.g., JavaScript, Bash, C++).
  • Experience deploying and debugging containerized applications using Docker and Docker Compose, including multi-service environments.
  • Experience with Linux shell scripting in a command-line environment.
  • Experience working in multi-disciplinary teams across all phases of the software development life cycle.

Preferred Qualifications:

  • Experience deploying or operating AI/ML serving infrastructure, including LLM serving frameworks such as vLLM, Ollama, or similar.
  • Familiarity with model routing or proxy tools such as LiteLLM or comparable API gateway solutions.
  • Experience with vector databases or retrieval-augmented generation (RAG) pipelines (e.g., Milvus, ChromaDB, Weaviate, or similar).
  • Knowledge of reverse proxy and web infrastructure concepts, including Nginx configuration, TLS/mTLS certificate management, WebSocket proxying, and authentication subrequests.
  • Experience with relational databases, including PostgreSQL administration and schema management.
  • Familiarity with observability tooling such as OpenTelemetry, Prometheus, Grafana, Loki, or Tempo.
  • Experience with HPC environments and job schedulers such as SLURM, or general experience deploying services on remote GPU clusters.
  • Experience maintaining forks of open-source projects, including upstream merge management, patch backporting, and dependency CVE remediation.
  • Familiarity with JavaScript or TypeScript and component-based frontend frameworks such as Svelte or React.
  • Excellent written and oral communication skills.
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs.

 

Special Requirements:

  • This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) 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. In addition, due the SCI, you may also be subject to random polygraph testing. 

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.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

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.


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.


What Oak Ridge National Laboratory employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom