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Remote Nvidia Research Jobs (NOW HIRING)

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams ...

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams ...

Sustainable Talent

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams ...

Sustainable Talent

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams ...

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/hybrid work options. This is a full-time (W-2) contract role. We offer ... As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams ...

Nvidia

Senior Software Engineer - Agentic Memory

OR · On-site +1

$122.40K - $161.30K/yr

You'll join a team of researchers with deep experience in building information retrieval systems ... We are looking for candidates in any country where NVIDIA has an office, and remote work is ...

Nvidia

Senior Solutions Architect, AI Cloud Services

OR · On-site +1

... researchers, and data scientists with some of NVIDIA's most strategic technology as well as work ... We are open to remote work locations! NVIDIA is widely considered to be one of the technology world ...

Nvidia

Manager, Next-Gen AI Cluster Validation

OR · On-site +1

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Work in a fast-paced, remote-friendly environment with teammates in many different locations around ...

Nvidia

Senior Software and System Architect

OR · Remote

$129.40K - $175.80K/yr

... Nvidia teams around the world including software and hardware architects, R&D, product teams ... Remote Your base salary will be determined based on your location, experience, and the pay of ...

Nvidia

Senior Software and System Architect

Santa Clara, CA · Remote

$152.10K - $206.70K/yr

... Nvidia teams around the world including software and hardware architects, R&D, product teams ... Remote Your base salary will be determined based on your location, experience, and the pay of ...

NVIDIA

Senior Software and System Architect

Santa Clara, CA · Remote

$150.90K - $205.10K/yr

... Nvidia teams around the world including software and hardware architects, R&D, product teams ... Remote Your base salary will be determined based on your location, experience, and the pay of ...

Nvidia

Senior Solutions Architect, Generative AI

OR · On-site +1

NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model ... We are open to remote work. We look forward to having you join our team! Widely considered to be ...

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Remote Nvidia Research information

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$37K

$106K

$142.5K

How much do remote nvidia research jobs pay per year?

As of May 28, 2026, the average yearly pay for remote nvidia research in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Research vs Remote Nvidia Data Scientist?

AspectRemote Nvidia ResearchRemote Nvidia Data Scientist
Required CredentialsAdvanced degrees in Computer Science, AI, or related fields; research publicationsDegree in Data Science, Statistics, or related; strong programming skills
Work EnvironmentResearch labs, collaborative projects, experimental workData analysis, modeling, and deployment in business settings
Employer & Industry UsageNvidia's R&D divisions, academic collaborationsNvidia's analytics teams, product development

Remote Nvidia Research focuses on innovative AI and machine learning research, often involving experimental projects and publications. In contrast, Remote Nvidia Data Scientists analyze data to inform business decisions and develop models. Both roles require technical expertise but differ in their primary objectives and work environment.

More about Remote Nvidia Research jobs
What cities are hiring for Remote Nvidia Research jobs? Cities with the most Remote 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 Remote Nvidia Research jobs? States with the most job openings for Remote Nvidia Research jobs include:
What job categories do people searching Remote Nvidia Research jobs look for? The top searched job categories for Remote Nvidia Research jobs are:
Remote Nvidia Research jobs near you
Infographic showing various Remote Nvidia Research job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 89% Full Time, and 10% Part Time. Highlights an 1% Physical, and 99% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.
AI Security Engineer

AI Security Engineer

Sustainable Talent

Santa Clara, CA • On-site, Remote

$90 - $130/hr

Full-time

PTO

Posted 9 days ago

Job description

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for Generative AI Security Engineer to support our client's team based out of in Santa Clara, CA with remote/ hybrid work options.

This is a full-time (W-2) contract role. We offer competitive pay $90/hr - $130/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams, focused on AI Safety for LLMs, including multi-lingual, multi-modal, and reasoning models. We value expertise in data science paired with a robust data engineering foundation. This role is directed at assessing, and improving the safety and inclusivity of our LLM models in a scalable fashion. We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model fine-tuning. We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit. Let's make a difference together!

What you'll be doing:

  • Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt.
  • Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more.
  • Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems.
  • Define and track key metrics for responsible LLM behavior and usage.
  • Follow the best practices of automation, monitoring, scale, safety.
  • Contribute to our repositories and develop safety tools to help ML teams be more effective.
  • Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets.
  • Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
  • Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

What we need to see:

  • Bachelor's or Master's Degree in Computer Science or related field or equivalent experience.
  • 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions.
  • Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas.
  • Deep understanding of machine learning algorithms, statistical models, and data structures.
  • Familiarity with software development practices and version control systems (e.g., Git).
  • Good at problem solving and analytical ability.
  • Excellent collaboration and communication skills.

Ways to stand out from the crowd:

  • Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness.
  • Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application.
  • Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs (Vision Language Model) or any-to-text
  • Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance.
  • Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

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