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Nvidia Machine Learning Jobs in Georgia (NOW HIRING)

AWS Architect

Atlanta, GA · On-site

$62.50 - $82/hr

... of Machine Learning Platforms including Public Cloud Offering • Experience with software ... with Nvidia-docker, GPU specific technologies Please share your resumes to natraj.b ...

Required : • Strong foundation in AI, deep learning, and machine learning principles. • ... Nvidia Nim. Company : Jobdiva Job Portal: Recruitment (contingency search and campus selection)

Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of microservices architecture and continuous delivery concepts in machine learning and related ...

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117K - $155K/yr

You will work at the intersection of data engineering, machine learning operations, and edge AI ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

They integrate real-time machine learning and image processing systems with advanced hardware and ... Exposure to NVIDIA Jetson devices * Experience with NumPy Export Control Requirements * To conform ...

They build/integrate real-time machine learning and image processing systems with advanced hardware ... Familiarity with embedded Linux platforms, particularly NVIDIA Jetson devices * Demonstrated ...

They build/integrate real-time machine learning and image processing systems with advanced hardware ... Familiarity with embedded Linux platforms, particularly NVIDIA Jetson devices * Demonstrated ...

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Nvidia Machine Learning information

See Georgia salary details

$21.5K

$36K

$74.3K

How much do nvidia machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for nvidia machine learning in Georgia is $35,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,400.00 and $38,800.00 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?

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.

What are the most commonly searched types of Nvidia Machine Learning jobs in Georgia?

The most popular types of Nvidia Machine Learning jobs in Georgia are:

What are popular job titles related to Nvidia Machine Learning jobs in Georgia?

For Nvidia Machine Learning jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Nvidia Machine Learning jobs in Georgia look for?

The top searched job categories for Nvidia Machine Learning jobs in Georgia are:

What cities in Georgia are hiring for Nvidia Machine Learning jobs?

Cities in Georgia with the most Nvidia Machine Learning job openings:

Infographic showing various Nvidia Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,957 per year, or $17.3 per hour.

$62.50 - $82/hr

Full-time

Re-posted 4 days ago


Job description

Job Description:
• Strong experience implementing data lakes on AWS for large enterprises
• Strong knowledge of Machine Learning Platforms including Public Cloud Offering
• Experience with software development with Python, R, Scala, Java and open programming languages
• Experience in using Scikit-learn, TensorFlow and/or Keras.
• Knowledge / experience with Nvidia-docker, GPU specific technologies
Please share your resumes to natraj.b@avanitechsolutions.com