1

Evening Computer Vision Deep Learning Engineer Jobs in Durham, NC

The Machine Learning Engineer will develop software and machine learning algorithms to address real ... • Deep knowledge of state-of-the-art in computer vision • Department of Defense project ...

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural ...

Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural ... learning, Bayesian models, etc. • B.S., preferably M.S. or Ph.D in engineering, math, computer ...

next page

Showing results 1-20

Evening Computer Vision Deep Learning Engineer information

See Durham, NC salary details

$46.9K

$117.4K

$132.9K

How much do evening computer vision deep learning engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for evening computer vision deep learning engineer in Durham, NC is $117,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $127,100.00 per year, depending on experience, location, and employer.

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 popular job titles related to Evening Computer Vision Deep Learning Engineer jobs in Durham, NC? For Evening Computer Vision Deep Learning Engineer jobs in Durham, NC, the most frequently searched job titles are:
What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs in Durham, NC look for? The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs in Durham, NC are:
What cities near Durham, NC are hiring for Evening Computer Vision Deep Learning Engineer jobs? Cities near Durham, NC with the most Evening Computer Vision Deep Learning Engineer job openings:
Infographic showing various Evening Computer Vision Deep Learning Engineer job openings in Durham, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $117,421 per year, or $56.5 per hour.

Senior Deep Learning Framework Communications Engineer

NVIDIA AI

Durham, NC • On-site

Full-time

Re-posted 25 days ago


Job description

Job Summary:
NVIDIA AI is leading the way in groundbreaking developments in Artificial Intelligence and High Performance Computing. They are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks and improve AI compilers for better performance in multi-GPU environments.
Responsibilities:
• Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production
• Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities. Collaborate hands-on with teams working on the latest AI models.
• Improve AI compilers to hide communications or perform automatic fusion.
• Conduct in-depth AI workload performance characterization on multi-GPU clusters.
• Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads.
• Author custom communication or fused compute-communication kernels to showcase ultimate performance on NV platforms.
• Influence the roadmap of communication libraries - NCCL & NVSHMEM.
• Collaborate with a very dynamic team across multiple time zones.
Qualifications:
Required:
• B.S, M.S. or PHD in Computer Science, or related field (or equivalent experience) with 5+ software engineering and HPC/AI experience
• Development or integration experience with Deep Learning Frameworks such PyTorch, JAX, and Inference Engines such as TRT-LLM, vLLM, SGLang
• Rapid prototyping and development with Python, C++, CUDA or related DSLs (Triton, cuTe)
• Solid grasp of AI models, parallelisms, and/or compiler technologies (e.g. torch.compile)
• Experience conducting performance benchmarking on AI clusters. Familiarity with at least one performance profiler toolchain (PyTorch profiler, NVIDIA Nsight Systems)
• Understanding of HPC/AI communication concepts (1-sided v 2-sided communication, elasticity, resiliency, topology discovery, etc)
• Adaptability and passion to learn new areas and tools
• Flexibility to work and communicate effectively across different teams and timezones
Preferred:
• Experience with parallel programming on at least one communication runtime (NCCL, NVSHMEM, MPI). Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)
• Expertise in one or more of these areas: Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton, cuTe, etc). Experience with programming for compute & communication overlap in distributed runtimes
• Experience with AI compiler pattern matching and lowering. Solid understanding of memory hierarchy, consistency model, and tensor layout
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.