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Full Time Computer Vision Deep Learning Engineer Jobs in Cary, 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 ...

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 ...

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Full Time Computer Vision Deep Learning Engineer information

See Cary, NC salary details

$44.9K

$112.6K

$127.4K

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

As of Aug 5, 2026, the average yearly pay for full time computer vision deep learning engineer in Cary, NC is $112,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $121,800.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Computer Vision Deep Learning Engineer vs Machine Learning Engineer?

AspectFull Time Computer Vision Deep Learning EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with CV and DL frameworksBachelor's or Master's in CS, Data Science, or related; strong programming skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on visual dataTech firms, finance, healthcare, focusing on predictive models
Industry UsagePrimarily in computer vision, robotics, autonomous vehiclesBroader, including NLP, recommendation systems, predictive analytics

The main difference is that Full Time Computer Vision Deep Learning Engineers specialize in visual data analysis using deep learning, while Machine Learning Engineers work on a wider range of predictive models across various data types. Both roles require strong programming skills and knowledge of ML frameworks, but their focus areas and applications differ.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Cary, NC? The most popular types of Computer Vision Deep Learning Engineer jobs in Cary, NC are:
What are popular job titles related to Full Time Computer Vision Deep Learning Engineer jobs in Cary, NC? For Full Time Computer Vision Deep Learning Engineer jobs in Cary, NC, the most frequently searched job titles are:
What cities near Cary, NC are hiring for Full Time Computer Vision Deep Learning Engineer jobs? Cities near Cary, NC with the most Full Time Computer Vision Deep Learning Engineer job openings:
Infographic showing various Full Time Computer Vision Deep Learning Engineer job openings in Cary, NC as of June 2026, with employment types broken down into 67% Full Time, 31% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $112,573 per year, or $54.1 per hour.

Senior Deep Learning Framework Communications Engineer

NVIDIA AI

Durham, NC • On-site

Full-time

Re-posted 27 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.