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Cuda Engineer Jobs in Raleigh, NC (NOW HIRING)

Danaher

Senior Software Engineer - USA Remote

Raleigh, NC · Remote

$119K - $157K/yr

GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design; Database engines - SQLite, MongoDB, DynamoDB; Moq Unit testing framework * Protocols Experience: MQTT;

Danaher

Senior Software Engineer - USA Remote

Durham, NC · Remote

$118K - $156K/yr

GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design; Database engines - SQLite, MongoDB, DynamoDB; Moq Unit testing framework * Protocols Experience: MQTT;

Teledyne

Research Scientist

Durham, NC · On-site

Experience with CUDA and GPU programming (strongly desired) * Excellent communication, writing, and interpersonal skills * U.S. Citizenship and the ability to obtain a security clearance What We ...

Teledyne FLIR LLC

Research Scientist

Durham, NC

Experience with CUDA and GPU programming (strongly desired) * Excellent communication, writing, and interpersonal skills * U.S. Citizenship and the ability to obtain a security clearance What We ...

Nvidia

Senior GPU Memory Architect

Durham, NC · On-site

NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the ...

Nvidia

Senior System Simulation Architect

Durham, NC

Support CPU architects and performance engineers in their use of functional models, performance ... Familiarity with CUDA * Experience with CPU/GPU application development and optimization in Pytorch ...

BAE Systems

Scientist Sr

Durham, NC · On-site

$88K - $149K/yr

Experience with compiled programming languages such as C++ or CUDA * Machine learning, deep learning, and/or computer vision algorithms * Designing, developing, implementing, and assessing novel ...

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Cuda Engineer information

See Raleigh, NC salary details

$35.5K

$104.3K

$133.7K

How much do cuda engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for cuda engineer in Raleigh, NC is $104,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $132,200.00 per year, depending on experience, location, and employer.

What are CUDA Engineers?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

What are some common challenges faced by CUDA Engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What are the key skills and qualifications needed to thrive as a CUDA Engineer, and why are they important?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.
What are popular job titles related to Cuda Engineer jobs in Raleigh, NC? For Cuda Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Cuda Engineer jobs in Raleigh, NC look for? The top searched job categories for Cuda Engineer jobs in Raleigh, NC are:
Cuda Engineer jobs near you
Infographic showing various Cuda Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $104,286 per year, or $50.1 per hour.
AI Development Lead / AI Platform Engineer

AI Development Lead / AI Platform Engineer

Lenovo

Morrisville, NC • On-site

Other

This job post has expired today. Applications are no longer accepted.

Lenovo rating

7.3

Company rating: 7.3 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

87th of 139 rated electronics manufacturers

Job description


General Information
Req #
WD00099307
Career area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Friday, May 22, 2026
Working time:
Full-time
Additional Locations:
* United States of America - North Carolina - Morrisville
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Description and Requirements

We are seeking a talented and experienced Senior AI Developer Lead to design, implement, and scale out an Agentic AI platform that streamlines the creation of AI-powered customer solutions. In this role, you will collaborate with AI engineers to deploy and scale AI services across enterprise infrastructures. The position requires a great understanding of AI technologies, excellent developer skills, and the ability to create repeatable solutions. To succeed in this role, you should apply your deep understanding of AI, be hands-on, and be able to integrate AI tools into a cohesive platform.

This role sits within Lenovo's Solutions & Services Group (SSG), the global organization that brings together our endtoend AI solutions and services to turn customer vision into value. You'll be joining a new, distributed engineering team building the xIQ Agent Platform, an AInative delivery platform that powers Lenovo's Agentic AI strategy across hybrid cloud, onprem, and edge.

Key Responsibilities:

  • Lead and manage a small team of AI developers to build AI platforms, implement agents, and customize standard solutions.
  • Develop Agentic AI platform solutions, ensuring alignment with Lenovo's strategic goals and enterprise technical standards.
  • Build AI architectures, inference engines, guardrails, and user interfaces for enterprise AI roll out.
  • Develop multi-agents/super agents using large language models (LLMs), small language models (SLMs), vision language models (VLMs), leverage agent frameworks and standard protocols such as MCP.
  • Integrate AI agents into existing platforms/systems, including on-premise and on the edge.
  • Identify and implement AI tools, frameworks, and technologies that enhance the effectiveness and efficiency of AI solutions.
  • Incorporate robust security measures into AI solutions, including data encryption, access controls, and vulnerability assessments.
  • Implement best practices for agent evaluation on both experimental and production environments.
  • Adhere to coding guidelines and best practices across projects, ensuring high-quality and maintainable AI software development.
  • Communicate technical concepts and solution approaches clearly to both technical and non-technical stakeholders.
  • Stay current with advancements in AI technologies and propose innovative implementation strategies.

Basic Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Proven track record of managing a small AI team and acting as the technical lead to complete enterprise AI platforms and/or AI solutions in production environments
  • 5+ years in AI development and implementation roles across domains such as data science, machine learning, NLP, computer vision, or Generative AI.
Preferred Qualifications:
  • 2+ years of experience in developing Generative AI end-to-end solutions, including multi-modal solutions utilizing NVIDIA, cloud-based LLMs, or open-source models (e.g., OpenAI, Anthropic, Llama, Hugging Face, Bedrock).
  • Experience with NVIDIA technologies (e.g., GPUs, CUDA, TensorRT) and integrating tools from NVIDIA AI Enterprise in on-premise solutions is a plus.
  • Strong knowledge of on-premise and cloud environments, particularly with containerization and scaling using Kubernetes.
  • Proven experience in implementing MLOps, LLMOps, or AIOps, as part of enterprise platforms and managing CI/CD pipelines for AI deployment using tools such as Jenkins, GitLab, or similar.
  • Strong programming skills in languages such as Python, React, and scripting languages.

If you are passionate about AI development and eager to take on a challenging yet rewarding role that makes a real impact, we invite you to connect with us!

This role offers the flexibility to be home-based anywhere in the U.S. with preference for the Eastern or Central time zones. If you're near our Chicago or Raleigh offices, we follow a friendly hybrid model with three days a week in the office-great for collaboration and connection!
The base salary range budgeted for this position is $230,000 to $250,000 Individuals may also be considered for bonuses and/or commissions. Lenovo's various benefits can be found at [1] www.lenovobenefits.com
In compliance with Colorado's EPEWA, the expected Application Deadline for this position is 7/1/2026 - this applies to both internal and external candidate
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
Additional Locations:
* United States of America - North Carolina - Morrisville
* United States of America
* United States of America - North Carolina
* United States of America - North Carolina - Morrisville

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