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Freelance Computer Vision Deep Learning Engineer Jobs in Worcester, MA

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

... deep learning, or computer vision solutions, or 4+ years of relevant industry experience with a PhD ... Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow ...

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

... deep learning, or computer vision solutions, or 4+ years of relevant industry experience with a PhD ... Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow ...

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

... deep learning, or computer vision solutions, or 4+ years of relevant industry experience with a PhD ... Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow ...

Staff AI/ML Engineer

Westford, MA · On-site

$99.30 - $198.70/hr

... deep learning, or computer vision solutions, or 4+ years of relevant industry experience with a PhD ... Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow ...

Senior Product Manager, AI & Analytics

Waltham, MA · On-site

$136K - $180K/yr

Deep understanding of computer vision, deep learning, LLMs/VLMs, and analytics workflows, with the ... engineering, hardware, and marketing teams without direct authority. What Sets You Apart: * Large ...

Staff, ML Research Scientist

Waltham, MA · On-site

$154K - $192K/yr

We are looking for: * 5+ years of experience applying Deep Learning (ML) to scalable real-world problems in computer vision or LLMs. * Experience in the full modeling cycle from research to ...

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Freelance Computer Vision Deep Learning Engineer information

See Worcester, MA salary details

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$47

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How much do freelance computer vision deep learning engineer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for freelance computer vision deep learning engineer in Worcester, MA is $47.60, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $61.63 per hour, depending on experience, location, and employer.

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Senior Deep Learning Framework Communications Engineer

Westford, MA


Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer


Full-time

Re-posted 5 days ago


Job description

NVIDIA is leading the way in 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 amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the team that created communication libraries like NCCL, NVSHMEM & technology like GPUDirect -- for scaling Deep Learning and HPC applications. Your customers will have diverse multi-GPU demands, ranging from training on scales up to 100K GPUs to inference down at microsecond latency. Communication performance between the GPUs has a direct impact on AI applications. Your work in AI toolkits will make all of those easier for the community. This is an outstanding opportunity for someone with an AI background to advance the state of the art in this space. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision?

What you will be doing:

  • 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.

What we need to see:

  • 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

Ways to stand out from the crowd:

  • 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

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 August 26, 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


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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