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Evening Computer Vision Deep Learning Engineer Jobs in North Carolina

Senior Software Architect

Carrboro, NC · On-site

$140K - $190K/yr

We seek to advance the fields of computer vision and deep learning through research and development ... Research and Development Engineers at Kitware also have the opportunity to publish and maintain ...

Senior Software Architect

Carrboro, NC · On-site

$140 - $190/hr

We seek to advance the fields of computer vision and deep learning through research and development ... Research and Development Engineers at Kitware also have the opportunity to publish and maintain ...

We seek to advance the fields of computer vision and deep learning through research and development ... Research and Development Engineers at Kitware also have the opportunity to publish and maintain ...

Senior Software Architect

Carrboro, NC · On-site

$140K - $190K/yr

We seek to advance the fields of computer vision and deep learning through research and development ... Research and Development Engineers at Kitware also have the opportunity to publish and maintain ...

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Showing results 21-40

Evening Computer Vision Deep Learning Engineer information

What is the difference between Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in North Carolina?

The most popular types of Computer Vision Deep Learning Engineer jobs in North Carolina are:

What are popular job titles related to Evening Computer Vision Deep Learning Engineer jobs in North Carolina?

For Evening Computer Vision Deep Learning Engineer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs in North Carolina look for?

The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs in North Carolina are:

What cities in North Carolina are hiring for Evening Computer Vision Deep Learning Engineer jobs?

Cities in North Carolina with the most Evening Computer Vision Deep Learning Engineer job openings:

Infographic showing various Evening Computer Vision Deep Learning Engineer job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Software Architect - Deep Learning and HPC Communications

Nvidia

Durham, NC • On-site

$125K - $170K/yr

Full-time

Re-posted 8 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies


Job description

NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build communication libraries like NCCL, NVSHMEM, and UCX that are crucial for scaling Deep Learning and HPC. We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software.

DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision?

What you will be doing:

  • Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.

  • Design and implement new communication technologies to accelerate AI and HPC workloads.

  • Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.

  • Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.

  • Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)

What we need to see:

  • M.S./Ph.D. degree in CS/CE or equivalent experience.

  • 12+ years of relevant experience.

  • Excellent C/C++ programming and debugging skills.

  • Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).

  • Deep understanding of operating systems, computer and system architecture.

  • Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.

  • Strong experience with Linux.

  • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

  • Expertise in related technology and passion for what you do. Experience with CUDA programming and NVIDIA GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.

  • Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications.

  • Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.

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 August 19, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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