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Deep Learning Engineer Jobs in Raleigh, NC (NOW HIRING)

Nvidia

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

... Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI ... Expertise in parallelization and performance optimization of Deep Learning models arising from ...

Deloitte

AI Solutions Architect

Raleigh, NC

$61.25 - $80.75/hr

Collaborating with architects, engineers, data scientists, and business stakeholders to align ... deep learning, or generative artificial intelligence solutions in production environments

UnitedHealth Group

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

The engineer applies deep learning technologies to enable computers to visualize, learn, and respond to complex situations, and may adapt machine learning to areas such as artificial intelligence ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

The engineer applies deep learning technologies to enable computers to visualize, learn, and respond to complex situations, and may adapt machine learning to areas such as artificial intelligence ...

Kitware

Software Engineer

Carrboro, NC

Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Familiarity both classical ... Azure DevOps) * Experience using Github or Gitlab for code reviews, documentation, and release ...

Kitware

Software Engineer

Carrboro, NC · On-site

$75K - $95K/yr

Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Familiarity both classical ... Azure DevOps) * Experience using Github or Gitlab for code reviews, documentation, and release ...

Kitware

Software Engineer

Carrboro, NC

$75K - $95K/yr

Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Familiarity both classical ... Azure DevOps) * Experience using Github or Gitlab for code reviews, documentation, and release ...

TEKsystems

Principal Data Scientist

Cary, NC

$50 - $85/hr

Expertise in NLP, transformers, deep learning, and model fine‑tuning. Proficiency with PyTorch ... Develop prompt engineering frameworks, guardrails, and automated evaluation suites for agent ...

Teledyne

Software Engineer

Durham, NC

... deep learning, machine learning, autonomous system control and decision systems, computer vision ... S. in Computer Science, Applied Mathematics, Computer Engineering or Electrical Engineering ...

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$36.9K

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How much do deep learning engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for deep learning engineer in Raleigh, NC is $112,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $147,300.00 per year, depending on experience, location, and employer.

What is a Deep Learning Engineer job?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are popular job titles related to Deep Learning Engineer jobs in Raleigh, NC? For Deep Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Raleigh, NC look for? The top searched job categories for Deep Learning Engineer jobs in Raleigh, NC are:
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Deep Learning Engineer jobs near you
Senior Software Engineer, CUTLASS Performance

Senior Software Engineer, CUTLASS Performance

Nvidia

Durham, NC • On-site

$118K - $156K/yr

Full-time

Posted 17 days ago

Job description

NVIDIA's high-performance computing platforms are powering the AI revolution across many applications and industries. Within our software stack, CUTLASS stands out as a popular open-source ecosystem dedicated to high-performance linear algebra and Tensor Core primitives. Since 2017, it has provided the community with C++ and Python abstractions to implement custom matrix multiply (GEMM) and related math and deep learning computations on NVIDIA GPUs.

If you are enthusiastic about performance and eager to help bridge the gap between current performance and what's theoretically possible, apply to join the CUTLASS team today!

What you'll be doing:

  • Benchmark the performance of state-of-the-art deep learning models' inference and training passes to identify key GPU kernel and fusion opportunities.

  • Identify gaps between theoretical and realized performance, and suggest software improvements or model adjustments to resolve them.

  • Develop tooling to automate the benchmarking, analysis, and performance optimization loop to push the limit of CUTLASS kernel performance within DL networks.

  • Be the authoritative resource on kernel performance in the team and engage with teams across NVIDIA including GPU architecture, DL frameworks, and QA as the performance representative for the CUTLASS team.

What we need to see:

  • Masters or PhD degree in Computer Science, Computer Engineering, or related field (or equivalent experience).

  • 3+ years of relevant industry experience.

  • Strong programming skills in Python and C++.

  • Experience in software performance analysis and optimization.

  • Deep understanding of computer architecture and familiarity with GPUs or similar parallel processing architectures.

Ways to stand out from the crowd:

  • Deep understanding of state-of-the art DL model architectures.

  • Hands-on experience with performance benchmarking of DL frameworks like PyTorch, JAX, SGLang, vLLM, TRT-LLM, or others.

  • Experience in developing performance models and performance regression systems.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Deep Learning Library team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 5, 2026.

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.
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

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