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Synthetic Data Generation Jobs in Raleigh, NC (NOW HIRING)

Senior MuleSoft Engineer

Raleigh, NC ยท Remote

$119K - $157K/yr

You actively prototype and deploy AI/LLM services inside integration solutions - summarization, document parsing, intelligent transformation, synthetic test data generation. * Advance automation with ...

If you want to build the materials behind the next generation of American energy and industrial ... You will own catalyst synthesis, characterization, and reaction-product analysis end to end, and ...

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through designing multistep synthesis routes, predicting regiochemistry and ...

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through designing multistep synthesis routes, predicting regiochemistry and ...

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through designing multistep synthesis routes, predicting regiochemistry and ...

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through structure determination from spectral data, multi-step synthesis planning ...

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through structure determination from spectral data, multi-step synthesis planning ...

... generation, and engagement features, helping you save prep time and focus on impactful teaching ... Guides students through structure determination from spectral data, multi-step synthesis planning ...

... generation of products that will delight and inspire millions of Apple customers every day. You ... lab data, proposing experiments, etc. Bachelors of Science in Electrical Engineering. Proven ...

... generation of products that will delight and inspire millions of Apple customers every day. You ... lab data, proposing experiments, etc. BS and a minimum of 10 years relevant industry experience ...

... generation of products that will delight and inspire millions of Apple customers every day. You ... lab data, proposing experiments, etc. Preferred Qualifications Proven knowledge of RTL design ...

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Synthetic Data Generation information

See Raleigh, NC salary details

$30.1K

$90.6K

$164.3K

How much do synthetic data generation jobs pay per year?

As of Jun 9, 2026, the average yearly pay for synthetic data generation in Raleigh, NC is $90,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $140,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Synthetic Data Generation role, and why are they important?

To excel in a Synthetic Data Generation role, you need a solid background in computer science, statistics, and data science, often supported by a relevant degree and experience in machine learning. Familiarity with tools such as Python, TensorFlow, PyTorch, and synthetic data generation platforms, as well as knowledge of privacy-preserving techniques, is typically required. Strong problem-solving abilities, creativity, and effective communication set top performers apart in this field. These skills and qualities are crucial for creating high-quality, realistic synthetic datasets that support robust AI model development while safeguarding sensitive information.

What is synthetic data generation?

Synthetic data generation is the process of creating artificial datasets that mimic real-world data. This technique is used to supplement or replace actual data for purposes such as machine learning, software testing, and research, especially when real data is scarce, sensitive, or costly to obtain. Synthetic data can help improve model accuracy, protect privacy, and enable innovation by providing diverse and unbiased datasets. It is commonly used in fields like healthcare, finance, and autonomous vehicles.

What is the difference between Synthetic Data Generation vs Data Analyst?

AspectSynthetic Data GenerationData Analyst
Required CredentialsKnowledge of data science, programming, and data privacyDegree in statistics, data science, or related field
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, analytics teams, consulting firms
Industry UsageAI development, machine learning, data privacyBusiness insights, reporting, decision-making
Search & Comparison IntentUnderstanding data generation techniques, privacy solutionsAnalyzing data, generating reports, insights

While Synthetic Data Generation focuses on creating artificial data for privacy and model training, Data Analysts interpret existing data to provide business insights. Both roles require data-related skills but serve different purposes within the data ecosystem.

What are the main challenges faced by professionals working in synthetic data generation, and how can they be addressed?

Professionals in synthetic data generation often encounter challenges such as ensuring the generated data accurately represents real-world scenarios while maintaining privacy and data security. Balancing realism with anonymization is crucial, especially when synthetic data is used for AI model training or testing. Collaboration with data scientists, domain experts, and privacy officers is common to validate data utility and compliance with regulations. Staying current with advances in generative models and data validation techniques also helps address these challenges and contributes to career growth in this rapidly evolving field.
What job categories do people searching Synthetic Data Generation jobs in Raleigh, NC look for? The top searched job categories for Synthetic Data Generation jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Synthetic Data Generation jobs? Cities near Raleigh, NC with the most Synthetic Data Generation job openings:
Senior Solutions Architect, AI Factory Infrastructure

Senior Solutions Architect, AI Factory Infrastructure

Nvidia Corporation

Durham, NC โ€ข On-site

Full-time

Posted 19 days ago


Job description

Are you passionate about enabling the next generation of AI development? We are looking for a top-tier Solution Architect to join the growing NVIDIA AI Infrastructure team. NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. We're in search of creative minds like you to help customers design, architect and implement accelerated computing data center solutions that will power workflows including AI inference at scale and physical AI through digital simulation.
NVIDIA solutions are built around industry leading AI software tools, but these tools are only as good as the infrastructure that enable the workloads. On this team, you will do full stack design including hardware architecture, workload orchestration and application performance tuning. At NVIDIA, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you'll be doing:
  • Help customers with their AI factory journey, including workflow pipelines and performance optimization
  • Focus data center implementations for inference use cases, including distributed, disaggregated and scaled out workflows
  • Scope physical AI journeys on Omniverse, including synthetic data generation, data aggregation, application development and simulation pipelines
  • Lead technical sales activities for AI factories with focus on hybrid deployments between cloud and on-prem
  • Deliver hybrid cloud architectures for data pipelines, storage, security and user streaming connectivity
  • Providing expertise in infrastructure workflows, including hardware, coordination of workload processes, and application tuning
  • Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution
  • Work directly with key customers to understand workflows and share feedback with internal product and engineering teams

What we need to see:
  • Bachelor's degree or equivalent experience in Engineering or Computer Science
  • 15+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise
  • An outstanding passion for groundbreaking IT infrastructures that optimize AI workloads
  • Expertise with infrastructure management including Linux, Kubernetes, Ethernet networking, and tools built for cloud environments
  • Strong experience with Linux system environments, using Linux as a core operating system for IT workload delivery
  • Confident with Python programming, specifically interfacing with IT infrastructure through API, SDKs and libraries
  • Mastery of how software and hardware work together to optimize applications
  • Confident experience with AI workloads, with an emphasis on inference workloads
  • Ability to work independently with a remote team with minimal direction
  • Outstanding communication skills, strong interpersonal and be an excellent teammate!

Ways to stand out from the crowd:
  • Experience with on-prem infrastructure architecture and large-scale cloud deployments
  • Experience with cloud native tooling including Terraform, Kubernetes, Helm
  • Background in building large scale infrastructure that deliver workloads via containers
  • Experience optimizing and troubleshooting performance of compute infrastructure
  • Deploying AI agents to increase productivity and accelerate content delivery
  • Critical thinking capabilities that leverage fundamentals to deduce solutions to unforeseen problems

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 25, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993