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3D Machine Learning Jobs in Raleigh, NC (NOW HIRING)

Becton, Dickinson and Company

Machinist 3

Durham, NC

$21 - $28.75/hr

Document machining data and collaboration with Engineering and Quality. * 3D Printing experience, a ... Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress ...

NCSU

Open Rank Tenured/Tenure Track

Raleigh, NC

... 3D printing laboratories in the country. The newly established Bezos Center for Alternative ... including machine learning and artificial intelligence. Candidates should demonstrate a ...

ADDiTEC

Electrical Controls Engineer

Durham, NC · On-site

$72.50K - $96.90K/yr

... 3D printers. This role combines PLC/IPC programming, electrical hardware design, and advanced ... Support machine build, integration, commissioning, and testing in both lab and production ...

Anduril Industries

Manufacturing Engineer

Morrisville, NC · On-site

$57K - $112K/yr

... 3D command and control center. As the world enters an era of strategic competition, Anduril is ... A genuine interest in manufacturing and thirst for learning * Ability to read and interpret ...

ANDURIL INDUSTRIES

Manufacturing Engineer

Morrisville, NC · On-site

$57K - $112K/yr

... 3D command and control center. As the world enters an era of strategic competition, Anduril is ... A genuine interest in manufacturing and thirst for learning * Ability to read and interpret ...

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3D Machine Learning information

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$24.8K

$41.4K

$85.5K

How much do 3d machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for 3d machine learning in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a 3D Machine Learning Engineer, and why are they important?

To thrive as a 3D Machine Learning Engineer, you need a solid background in computer science, mathematics, and experience with 3D data processing and machine learning algorithms, typically supported by a relevant degree. Expertise in tools and frameworks like Python, PyTorch or TensorFlow, and libraries such as Open3D or PCL is commonly required, along with familiarity with 3D data formats. Strong problem-solving skills, creativity, and effective communication set top performers apart in this role. These skills enable the development of innovative solutions for complex 3D data challenges, which are crucial for advancements in fields like robotics, computer vision, and AR/VR.

What are some common challenges faced by professionals working in 3D machine learning, and how can they be addressed?

Professionals in 3D machine learning often encounter challenges such as handling large and complex datasets, managing high computational requirements, and ensuring model robustness across diverse 3D data types (e.g., point clouds, meshes, voxel grids). Addressing these challenges typically involves using efficient data preprocessing pipelines, leveraging cloud computing or advanced GPU resources, and staying updated with the latest research on 3D data augmentation and model architectures. Collaboration with multidisciplinary teams—including data engineers, computer vision experts, and domain specialists—is also crucial for overcoming technical obstacles and producing practical, scalable solutions.

What is 3D machine learning?

3D machine learning is a field of artificial intelligence focused on developing algorithms and models that can process and understand three-dimensional data. This includes tasks such as object recognition, scene reconstruction, segmentation, and analysis using 3D data formats like point clouds, meshes, or volumetric grids. Applications of 3D machine learning are found in areas like autonomous driving, robotics, medical imaging, and augmented reality. The field combines techniques from computer vision, deep learning, and geometry processing to interpret complex spatial information.

What is the difference between 3D Machine Learning vs 3D Computer Vision?

Aspect3D Machine Learning3D Computer Vision
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Computer Vision, Computer Science, or related fields; experience with image processing
Work EnvironmentResearch labs, AI development teams, tech companiesImaging labs, robotics, autonomous vehicles, tech firms
Industry UsageDeveloping models for 3D data analysis, sensor data integrationProcessing 3D images, object detection, scene reconstruction

While 3D Machine Learning focuses on creating algorithms that learn from 3D data, 3D Computer Vision emphasizes interpreting and analyzing 3D visual information. Both fields often overlap but serve different primary objectives within AI and imaging applications.

What are popular job titles related to 3D Machine Learning jobs in Raleigh, NC? For 3D Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Raleigh, NC look for? The top searched job categories for 3D Machine Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for 3D Machine Learning jobs? Cities near Raleigh, NC with the most 3D Machine Learning job openings:
3D Machine Learning jobs near you
Senior Systems Software Engineer, Machine Learning

Senior Systems Software Engineer, Machine Learning

Nvidia

Durham, NC

Full-time

Posted 25 days ago

Job description

NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and machine learning for more than 25 years. It's a unique legacy of innovation 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.

We're hiring a Deep Learning Engineer with strong experience in generative AI, LLMs/VLMs, computer vision, and agentic systems. If you've spent more time than you'd like to admit building workflows to populate data and/or diversify/expand your dataset, you'll likely feel at home here. Bonus points if you've worked with 3D computer vision (extra bonus if you actually enjoyed it). The team is a balanced mix of engineers and scientists, and we care about both rigor and actually getting things out the door. The culture is collaborative, low-ego, and built around ownership. If you enjoy building systems that get used-and working with people who know when to debate and when to just run the experiment-this jobs is for you.

What you will be doing:

  • Convert research into real products (not just slide decks or notebooks)

  • Help build workflows that diversify datasets and/or populate data

  • Ship machine learning workflows/pipelines fast and iterate faster

  • Leverage LLM/VLM and agents in the data generation pipeline

  • Define evaluation criteria and run offline evals before any model or prompt change reaches production"

What we need to see:

  • Masters degree, or preferably a PhD degree in Computer Science or a related field or equivalent experience

  • 5+ years of experience

  • Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.

  • Strong background in computer vision and deep learning.

  • Excellent programming skills in Python and C/C++.

  • Excellent software engineering fundamentals.

  • Ability to develop code in Unix/Linux environments.

  • Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.

  • Strong collaboration skills to partner with other teams.

Ways to stand out from the crowd:

  • Experience designing and operating multi-agent pipelines in production, including handling non-deterministic failures, retry logic, and tool-call error recovery"

  • Shipped a product feature backed by a VLM (e.g., image captioning, document understanding) - including handling inference latency, cost-per-call tradeoffs, and degraded-mode fallbacks

  • Shipped AI-powered features to real users - not just prototyped with agent frameworks. If your experience is primarily personal projects or hackathons, this role may not be the right fit yet.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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 May 30, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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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