Durham, NC · On-site
$101K - $138K/yr
MS or higher degree (or equivalent experience) in Computer Science, Engineering, AI, or a related technical field, with 5+ years of hands-on software engineering experience building production-grade ...
Durham, NC · On-site
$101K - $138K/yr
MS or higher degree (or equivalent experience) in Computer Science, Engineering, AI, or a related technical field, with 5+ years of hands-on software engineering experience building production-grade ...
Durham, NC · On-site
$120 - $160/hr
Lead AI Engineer, Biomedical & Vigilance Innovation Own and drive the development of production-grade AI platforms for pharmacovigilance and safety signal detection Location: North Carolina, United ...
Durham, NC · On-site
$120 - $160/hr
Lead AI Engineer, Biomedical & Vigilance Innovation Own and drive the development of production-grade AI platforms for pharmacovigilance and safety signal detection Location: North Carolina, United ...
We're seeking a highly motivated AI/ML Engineer to join this dynamic team in our Raleigh, NC headquarters. You thrive in a collaborative, fast-paced environment where you can rapidly iterate on ideas ...
We're seeking a highly motivated AI/ML Engineer to join this dynamic team in our Raleigh, NC headquarters. You thrive in a collaborative, fast-paced environment where you can rapidly iterate on ideas ...
We're seeking a highly motivated AI/ML Engineer to join this dynamic team in our Raleigh, NC headquarters. You thrive in a collaborative, fast-paced environment where you can rapidly iterate on ideas ...
Quick apply
We're seeking a highly motivated AI/ML Engineer to join this dynamic team in our Raleigh, NC headquarters. You thrive in a collaborative, fast-paced environment where you can rapidly iterate on ideas ...
We're seeking a highly motivated AI/ML Engineer to join this dynamic team in our Raleigh, NC headquarters. You thrive in a collaborative, fast-paced environment where you can rapidly iterate on ideas ...
We're seeking a highly motivated AI/ML Engineer to join this dynamic team in our Raleigh, NC headquarters. You thrive in a collaborative, fast-paced environment where you can rapidly iterate on ideas ...
As an Agentic AI Engineer, you will design, build, and operationalize the LLM- and SLM-powered systems behind real healthcare decisioning - the reasoning, orchestration, retrieval, memory, and ...
As an Agentic AI Engineer, you will design, build, and operationalize the LLM- and SLM-powered systems behind real healthcare decisioning - the reasoning, orchestration, retrieval, memory, and ...
Key Responsibilities AI/ML Engineering * Fine-tune and optimize large language models (LLMs) to address specific healthcare applications. * Develop and apply advanced prompt engineering techniques to ...
Key Responsibilities AI/ML Engineering * Fine-tune and optimize large language models (LLMs) to address specific healthcare applications. * Develop and apply advanced prompt engineering techniques to ...
The AI Engineer will develop and optimize large language models for healthcare applications, collaborating with professionals to enhance workflows and ensure compliance with healthcare standards.
The AI Engineer will develop and optimize large language models for healthcare applications, collaborating with professionals to enhance workflows and ensure compliance with healthcare standards.
AI Process Engineering Analyzing current workflows, documenting business operations, and collaboratively reengineering processes to incorporate advanced technologies such as AI, process automation ...
Quick apply
AI Process Engineering Analyzing current workflows, documenting business operations, and collaboratively reengineering processes to incorporate advanced technologies such as AI, process automation ...
Durham, NC · On-site +1
AI Process Engineering Analyzing current workflows, documenting business operations, and collaboratively reengineering processes to incorporate advanced technologies such as AI, process automation ...
Durham, NC · On-site +1
AI Process Engineering Analyzing current workflows, documenting business operations, and collaboratively reengineering processes to incorporate advanced technologies such as AI, process automation ...
Raleigh, NC · On-site
$104K - $174K/yr
Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG). * Strong prompt engineering and prompt testing skills to derive the desired outcome * Collaborate with ...
Raleigh, NC · On-site
$104K - $174K/yr
Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG). * Strong prompt engineering and prompt testing skills to derive the desired outcome * Collaborate with ...
Raleigh, NC · Hybrid
$104K - $174K/yr
Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG). * Strong prompt engineering and prompt testing skills to derive the desired outcome * Collaborate with ...
Raleigh, NC · Hybrid
$104K - $174K/yr
Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG). * Strong prompt engineering and prompt testing skills to derive the desired outcome * Collaborate with ...
Raleigh, NC · On-site
$119K - $157K/yr
Minimum of 3 years of experience in AI engineering, building applications or products with strong understanding of fine-tuning, prompt engineering, and performance optimization (token utilization ...
Raleigh, NC · On-site
$119K - $157K/yr
Minimum of 3 years of experience in AI engineering, building applications or products with strong understanding of fine-tuning, prompt engineering, and performance optimization (token utilization ...
Raleigh, NC · On-site
$104K - $174K/yr
Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG). * Strong prompt engineering and prompt testing skills to derive the desired outcome * Collaborate with ...
Raleigh, NC · On-site
$104K - $174K/yr
Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG). * Strong prompt engineering and prompt testing skills to derive the desired outcome * Collaborate with ...
Raleigh, NC · Hybrid
$104K - $174K/yr
Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG). * Strong prompt engineering and prompt testing skills to derive the desired outcome * Collaborate with ...
Raleigh, NC · Hybrid
$104K - $174K/yr
Test, evaluate and and implement AI models with a focus on Retrieval-Augmented Generation (RAG). * Strong prompt engineering and prompt testing skills to derive the desired outcome * Collaborate with ...
$99K - $232K/yr
The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a technical leader and a trusted advisor to clients, combining AI/ML knowledge with business acumen to ...
$99K - $232K/yr
The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a technical leader and a trusted advisor to clients, combining AI/ML knowledge with business acumen to ...
$73K - $244K/yr
The Opportunity As part of the Data and Analytics Engineering team you will lead the development of innovative AI solutions that drive remarkable client outcomes. As a Manager you will supervise ...
$73K - $244K/yr
The Opportunity As part of the Data and Analytics Engineering team you will lead the development of innovative AI solutions that drive remarkable client outcomes. As a Manager you will supervise ...
Raleigh, NC · On-site
$99K - $131K/yr
As a Responsible AI Engineer, you'll be experienced in building state of the art models to solve difficult business challenges. But you'll also have at least a year's experience looking at ...
Raleigh, NC · On-site
$99K - $131K/yr
As a Responsible AI Engineer, you'll be experienced in building state of the art models to solve difficult business challenges. But you'll also have at least a year's experience looking at ...
... AI workflows. Responsibilities : • Fine-tune and optimize large language models (LLMs) to address specific healthcare applications. • Develop and apply advanced prompt engineering techniques to ...
... AI workflows. Responsibilities : • Fine-tune and optimize large language models (LLMs) to address specific healthcare applications. • Develop and apply advanced prompt engineering techniques to ...
The Position We're looking to hire a Full-Stack AI Engineer (Agentic Systems) to join our team. This is a high-impact, client-facing role designed for a "plus-plus" version of a developer, someone ...
The Position We're looking to hire a Full-Stack AI Engineer (Agentic Systems) to join our team. This is a high-impact, client-facing role designed for a "plus-plus" version of a developer, someone ...
$37.9K - $46.6K
3% of jobs
$46.6K - $55.3K
3% of jobs
$55.3K - $64K
4% of jobs
$64K - $72.7K
7% of jobs
$72.7K - $81.4K
6% of jobs
$82.2K is the 25th percentile. Wages below this are outliers.
$81.4K - $90.1K
6% of jobs
The median wage is $98K / yr.
$90.1K - $98.8K
21% of jobs
$98.8K - $107.5K
4% of jobs
$113.2K is the 75th percentile. Wages above this are outliers.
$107.5K - $116.3K
29% of jobs
$116.3K - $125K
2% of jobs
$125K - $133.7K
13% of jobs
$37.9K
$98.9K
$133.7K
AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.
To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.
An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.
9.6
Based on 17 frontline employees who took The Breakroom Quiz
8th of 242 rated software companies
NVIDIA has been transforming accelerated computing with innovation that's fueled by great technology-and amazing people. As part of Nvidia's applied AI team for chip design, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of the chip industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions.
You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation.
What you'll be doing:
Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools.
Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale.
Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence.
Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization.
What we need to see:
MS or higher degree (or equivalent experience) in Computer Science, Engineering, AI, or a related technical field, with 5+ years of hands-on software engineering experience building production-grade software systems, and demonstrated experience shipping AI/LLM-powered applications, agents, or automation workflows into real production environments.
Strong Python engineering skills are preferred, with the ability to design, prototype, and productionize AI-enabled services, APIs, integrations, automation workflows, and internal tools.
Practical experience building LLM-powered agents or agentic workflows, with hands-on use of Claude Code, OpenAI Codex, Cursor, GitHub Copilot, or equivalent coding agents to improve real software developmentworkflows.
Solid software engineering fundamentals and production mindset, including system design, API design, testing, CI/CD, code quality, observability, security, databases, containers, and distributed or event-driven systems.
Ability to identify repetitive, high-friction, or knowledge-intensive workflows and turn them into practical AI-enabled tools, automations, or assistants that improve productivity and operational efficiency.
Demonstrated end-to-end ownership of engineering solutions, from architecture and development to deployment, integration, and ongoing operations/support.
Excellent communication skills and a collaborative, proactive approach.
Ways to stand out from the crowd:
Strong ability to connect AI applications and agents with existing systems, services, databases, documentation, codebases, and enterprise workflows in a secure, reliable, and maintainable way. Experience with emerging integration patterns such as MCP, Skills, or similar frameworks is a plus.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
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.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
1993
