1

Associate Nvidia Research Jobs (NOW HIRING)

Experience in data-heavy verticals like Financial Services (HFT), Life Sciences, or Autonomous Research. * Industry certifications such as NVIDIA Certified Associate/Professional (Networking) or ...

Experience in data-heavy verticals like Financial Services (HFT), Life Sciences, or Autonomous Research. * Industry certifications such as NVIDIA Certified Associate/Professional (Networking) or ...

Experience in data-heavy verticals like Financial Services (HFT), Life Sciences, or Autonomous Research. * Industry certifications such as NVIDIA Certified Associate/Professional (Networking) or ...

Experience in data-heavy verticals like Financial Services (HFT), Life Sciences, or Autonomous Research. * Industry certifications such as NVIDIA Certified Associate/Professional (Networking) or ...

Warehouse Associate

San Jose, CA

$18.75 - $22.25/hr

Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to ... NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and ...

... NVIDIA, and nextgeneration AI and cyber platforms. Based in Reston, Virginia, this role will help ... Research partner offerings, programs, and market opportunities across federal agencies * Help ...

... NVIDIA, and nextgeneration AI and cyber platforms. Based in Reston, Virginia, this role will help ... Research partner offerings, programs, and market opportunities across federal agencies * Help ...

next page

Showing results 1-20

Associate Nvidia Research information

See salary details

$16

$32

$46

How much do associate nvidia research jobs pay per hour?

As of May 28, 2026, the average hourly pay for associate nvidia research in the United States is $32.54, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $37.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Nvidia Researcher, and why are they important?

To thrive as an Associate Nvidia Researcher, you typically need a graduate degree (MS or PhD) in computer science, electrical engineering, or a related field, along with strong foundational knowledge in machine learning, deep learning, and algorithms. Experience with technical tools such as Python, CUDA, PyTorch, or TensorFlow, and familiarity with GPU programming are commonly required. Analytical thinking, creativity, and effective communication are crucial soft skills for driving innovation and collaborating within multidisciplinary teams. These competencies are essential for advancing cutting-edge research and developing impactful technologies at Nvidia.

What types of projects and collaborations can an Associate Nvidia Research expect to be involved in?

As an Associate at Nvidia Research, you can expect to work on cutting-edge projects in areas such as artificial intelligence, graphics, computer vision, and autonomous systems. The role often involves close collaboration with senior researchers, software engineers, and external academic partners. You'll contribute to both foundational research and practical applications, which may include publishing papers, creating prototypes, and participating in cross-functional teams. This dynamic environment offers significant opportunities for learning and career growth, particularly for those interested in advancing state-of-the-art technologies.

What does an Associate at Nvidia Research do?

An Associate at Nvidia Research typically supports ongoing research projects in fields like artificial intelligence, computer vision, graphics, and high-performance computing. Their responsibilities may include conducting experiments, analyzing data, developing prototypes, and collaborating with senior researchers. Associates often contribute to publications and help advance the state-of-the-art in technology. The position is ideal for individuals interested in a research-driven environment and pursuing innovation alongside experts in the field.

What is the difference between Associate Nvidia Research vs Research Scientist at Nvidia?

AspectAssociate Nvidia ResearchResearch Scientist at Nvidia
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related fieldsMaster's or PhD in similar fields, with research experience
Work EnvironmentResearch labs, collaborative projects, entry-level research rolesAdvanced research projects, leadership in research initiatives
Employer & Industry UsageNvidia's research division, AI, graphics, deep learningNvidia's research division, AI, machine learning, computer vision

The main difference between Associate Nvidia Research and Research Scientist at Nvidia lies in experience and responsibility. The Associate role is typically an entry-level position focused on supporting research projects, while the Research Scientist is a more senior role involving independent research, leadership, and advanced contributions to Nvidia's innovations.

More about Associate Nvidia Research jobs
What cities are hiring for Associate Nvidia Research jobs? Cities with the most Associate Nvidia Research job openings:
What are the most commonly searched types of Nvidia Research jobs? The most popular types of Nvidia Research jobs are:
What states have the most Associate Nvidia Research jobs? States with the most job openings for Associate Nvidia Research jobs include:
Infographic showing various Associate Nvidia Research job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 85% Full Time, 11% Part Time, and 2% Temporary. Highlights an 16% Physical, 1% Hybrid, and 83% Remote job distribution, with an average salary of $67,685 per year, or $32.5 per hour.
Data Scientist for Nuclear Power Applications Postdoctoral Researcher

Data Scientist for Nuclear Power Applications Postdoctoral Researcher

Idaho National Laboratory

Idaho Falls, ID • On-site

$105.14K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Idaho National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

12th of 103 rated laboratories


Job description

The Idaho National Laboratory (INL) is seeking a well-qualified Postdoctoral Research Associate in Data Science for the Department of Plant Optimization. The ideal candidate should possess a robust technical background and practical experience with large language models (LLMs). 
 

The Postdoctoral Researcher will have the following key responsibilities:

  • Develop, fine-tune, and optimize LLMs.
  • Design and implement efficient retrieval-augmented generation systems.
  • Create advanced prompt engineering strategies to enhance model performance and utility.
  • Demonstrate expertise in embedding techniques, with a clear understanding of their strengths, weaknesses, and applicability to various use cases.
  • Perform comprehensive data preprocessing, including cleaning, normalization, and integration of diverse data types such as text, images, and tabular data.
  • Analyze and structure complex datasets, including unstructured data types such as images and tables.
  • Apply advanced AI model optimization techniques to improve the efficiency and performance of large and frontier models for specific applications.
  • Understand the principles and trade-offs associated with large-scale machine learning systems.
  • Develop agentic AI systems including multi-modal models.
  • Communicate effectively, both verbally and in writing, with management, co-workers, and customers.
  • Publish research results in a mix of journal publications and conference proceedings.
  • Write or contribute to the writing of technical reports.
  • Prepare competitive proposals for the DOE or internal INL funding opportunities.
  • Give technical presentations to internal and external audiences.

Our team works a 9x80 schedule located out of our Research and Education Campus in Idaho Falls, ID, with every other Friday off.

You are expected to be a strong asset to our interdisciplinary R&D team and work effectively both alone and as a team member. You must be self-motivated but also take directions from other team members and peers
 

Required:

  • PhD in Data Science, Engineering, Mathematics, Computer Science, Artificial Intelligence or comparable disciplines. 
  • PhD requirements must be completed by commencement of appointment and within the previous 5 years.

  • Experience in data science, data analysis, and software development using Python, C#, Java or C++. 
  • Demonstrated oral and written communication in English.
  • This position is subject to export control restrictions per the Department of Energy. For this reason, you must be either a US Citizen or a US Green Card holder to qualify for the job. 


 

The ideal candidate will possess:

  • Experience in distributed processing frameworks and high-performance computing resources to build and deploy scalable AI solutions.
  • Experience in model optimization and deployment on NVIDIA and AMD GPUs, ensuring efficient utilization of computational resources.
  • Experience in computer vision or time-series data analytics, including practical applications in real-world scenarios.
  • Experience with vision language models and large behavioral models.
  • Knowledge of data architecture, data structuring, and best practices for managing large-scale data pipelines.
  • Familiarity with nuclear engineering concepts, including nuclear reactors and associated data, is a significant advantage.
  • Ability to work independently and collaboratively in a multidisciplinary team environment.
     


 

Physical Requirements:

While performing the duties of this classification, the employee is frequently required to stand, walk, sit, stoop, kneel, bend. The job requires hand/finger dexterity to keyboard or type, handle materials, manipulate tools, and reach with hands and arms. The job requires operation of job-related equipment. The employee must occasionally lift and/or move up to 25 pounds. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job Information:

  • The pay for this position is $105,144 Annually. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.

Benefits and Relocation

  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance for eligible positions)
  • Comprehensive Relocation Package
  • Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.

INL is a science-based, applied engineering national laboratory dedicated to supporting the U.S. Department of Energy's mission in nuclear energy research, science, and national defense. With more than 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's critical infrastructure.

INL Mission:

Our mission is to discover, demonstrate and secure innovative nuclear energy solutions, other clean energy options and critical infrastructure.

INL Vision:

Our vision is to change the world's energy future and secure our nation's critical infrastructure.

Selective Service Requirements:

To be eligible for employment at INL males born after December 31, 1959 must have registered with the Selective Service System (SSS). For more information see www.sss.gov.

Equal Employment Opportunity:

Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Reasonable Accommodation:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Other Information:

When applying to positions please provide a resume and answer all questions on the following screens. Applicants, who fail to provide a resume or answer the questions, may be deemed ineligible for consideration.

INL does not accept resumes from third party vendors unsolicited.

What Idaho National Laboratory employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Idaho National Laboratory logo

About Idaho National Laboratory

Sourced by ZipRecruiter

Idaho National Laboratory is a leading multi-disciplinary national laboratory dedicated to supporting the U.S. Department of Energy's missions in nuclear and energy research, science, and national defence. Located in Idaho Falls, ID, US, it operates under the management of Battelle Energy Alliance. Since its inception in 1949, the lab has remained at the forefront of nuclear energy innovations and advancements, providing critical scientific and technological inputs to support national priorities. Guided by its commitment to excellence, innovative research, collaborative partnerships, and integrity, the lab continues to play a vital role in driving America's nuclear and energy future.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1949

Social media