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Nvidia Engineering Jobs in Georgia (NOW HIRING)

Deloitte

Senior AI Engineer - SFL Scientific

Atlanta, GA · On-site

$100K - $138K/yr

Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or ... Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc. • Live within ...

LangChain, Inc

Deployed Engineer (Atlanta)

Atlanta, GA · On-site

$150K - $250K/yr

... Nvidia, and Bridgewater. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA

$117K - $155K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

Honeywell

Sr Advanced AI Platform Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE * Bachelor ...

AeroVect

... how the rest of engineering builds on top of it, and raise the technical bar across the ... Experience with Nvidia Orin/Thor platforms and heterogeneous compute scheduling. We Prefer * Prior ...

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$39.3K

$124K

$146.9K

How much do nvidia engineering jobs pay per year?

As of Jun 27, 2026, the average yearly pay for nvidia engineering in Georgia is $124,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $146,100.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software, hardware, or systems engineering at major technology companies can earn $500,000 or more annually, often including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills, and sometimes leadership roles or executive responsibilities.

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

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What is an Nvidia Engineering job?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

Which engineers does NVIDIA hire?

NVIDIA hires a variety of engineers including hardware engineers, software engineers, AI and deep learning engineers, and systems engineers. Candidates typically need strong technical skills, experience with programming languages like C++ and Python, and knowledge of GPU architectures or AI frameworks. The company values innovation, collaboration, and relevant technical certifications or degrees in engineering or computer science.

Is it hard to get hired at NVIDIA?

Getting hired as an engineer at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a solid understanding of areas like GPU architecture, software development, or AI. The hiring process often involves multiple interviews and technical assessments.

What types of projects do Nvidia Engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for software engineers at NVIDIA typically ranges from $100,000 to $150,000. Senior engineers and those with specialized skills in AI, graphics, or hardware may earn higher compensation, often including bonuses and stock options.
What are the most commonly searched types of Nvidia Engineering jobs in Georgia? The most popular types of Nvidia Engineering jobs in Georgia are:
What are popular job titles related to Nvidia Engineering jobs in Georgia? For Nvidia Engineering jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Nvidia Engineering jobs in Georgia look for? The top searched job categories for Nvidia Engineering jobs in Georgia are:
What cities in Georgia are hiring for Nvidia Engineering jobs? Cities in Georgia with the most Nvidia Engineering job openings:
Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Georgia as of June 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 83% In-person, 2% Hybrid, and 15% Remote job distribution, with an average salary of $124,013 per year, or $59.6 per hour.
Senior AI Engineer - SFL Scientific

Senior AI Engineer - SFL Scientific

Deloitte

Atlanta, GA • On-site

$100K - $138K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

55th of 139 rated financial services

Job description

Job Summary:
Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a Deloitte Business. In this role, you will develop AI infrastructure and deployment services, collaborating with cross-functional teams to design and implement scalable data architecture solutions for machine learning applications.
Responsibilities:
• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 2+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
• 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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