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Nvidia Machine Learning Jobs (NOW HIRING)

Georgia IT Inc

machine Learning

Peachtree City, GA

Machine Learning in Peachtree City, GA, USA Target Rate - Open Rates WWS ID - 111803 (And 111800 ... Experience in embedded software development (TI OMAP/Jacinto, NXP imx6, Renesas, NVidia, Qualcomm ...

Navstar

Machine Learning Engineer

Centreville, VA

$102K - $144K/yr

Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and ... Familiarity with Nvidia Tools (CUDA, JetPack, TensorRT) and deployment process to Nvidia GPUs

Nvidia

OR

NVIDIA's deep learning and HPC platforms have made a huge impact in various fields and are broadly ... Work with some of the brightest minds in a premier AI company to develop leading machine learning ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that ... We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ...

Nvidia

OR

$104K - $143K/yr

Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the ... Intelligent machines powered by AI are no longer science fiction. GPU Deep Learning has made it ...

Nvidia

Senior Deep Learning Software Engineer

Santa Clara, CA · Hybrid

$143K - $189K/yr

Familiarity with NVIDIA's deep learning SDKs such as TensorRT. * Prior experience in writing high-performance GPU kernels for machine learning workloads in frameworks such as CUDA, CUTLASS, or Triton.

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Nvidia Machine Learning information

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$25.5K

$42.6K

$88K

How much do nvidia machine learning jobs pay per year?

As of Jun 8, 2026, the average yearly pay for nvidia machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a Nvidia Machine Learning job?

A Nvidia Machine Learning job involves developing and optimizing AI models, deep learning frameworks, and GPU-accelerated applications. Engineers in this role work on cutting-edge research, building scalable ML solutions, and improving performance on Nvidia hardware like GPUs and AI accelerators. They collaborate with software and hardware teams to enhance AI capabilities across industries such as gaming, healthcare, and autonomous systems. Strong coding skills in Python, C++, and experience with ML frameworks like TensorFlow or PyTorch are often required.

What are the key skills and qualifications needed to thrive in the Nvidia Machine Learning position, and why are they important?

To thrive in an Nvidia Machine Learning role, a deep understanding of machine learning algorithms, proficiency in programming languages like Python or C++, and a solid background in mathematics or computer science are essential. Experience with Nvidia's CUDA, TensorRT, cuDNN, and familiarity with modern deep learning frameworks such as TensorFlow or PyTorch are highly valued, as are relevant certifications in AI or data science. Strong problem-solving skills, teamwork, and effective communication distinguish top candidates in collaborative, fast-paced environments. These skills are crucial for developing and optimizing AI solutions that leverage Nvidia’s advanced hardware and software platforms.

What are some common challenges faced by professionals in Nvidia Machine Learning roles?

One common challenge in Nvidia Machine Learning roles is optimizing models to fully leverage GPU architectures for both performance and efficiency, which requires continuous learning as the technology rapidly evolves. Team members often work on complex, large-scale projects that demand close collaboration across software, hardware, and research divisions. Navigating the fast pace of innovation and contributing effectively to cross-functional teams is essential for success. However, these challenges also make the role exciting and offer excellent opportunities for professional growth and hands-on experience with state-of-the-art AI solutions.

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Nvidia Machine Learning jobs near you
machine Learning

machine Learning

Georgia IT Inc

Peachtree City, GA

Other

Posted 2 days ago

Job description

Machine Learning in Peachtree City, GA, USA

Target Rate - Open Rates

WWS ID - 111803 (And 111800 for Lead Role)

Must Have
  • More than 3 years of SW development in machine vision required.
  • More than 2 years of machine vision algorithm development required.
  • Experience in embedded software development (TI OMAP/Jacinto, NXP imx6, Renesas, NVidia, Qualcomm, etc.) is highly preferred.
  • Proficient with embedded C, C++ and Object Oriented Design (OOD).
  • Proficiency in Python is preferred.
  • Understanding basic theories/math behind deep/machine learning technologies and machine vision
  • Experience with camera/sensor driver is a plus.
  • Linux OS experience required.
  • Good analytical and communication skills
Good To Have
  • Knowledge and experience with optical system HW highly preferred
  • Familiarity with SW development process and methodologies(Agile/Scrum).
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About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

Social media

Facebook

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