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Nvidia Software Jobs in Georgia (NOW HIRING)

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Sr Advanced AI Platform Engineer

Smyrna, GA

$102K - $140K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$100K - $138K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

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Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$100K - $138K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Sr Advanced AI Platform Engineer

Atlanta, GA

$101K - $138K/yr

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Skilled at building the software logic required to process data inputs and handle model outputs ... Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms. * Experience ...

Showing results 21-40

Nvidia Software information

See Georgia salary details

$40.5K

$94.4K

$140.2K

How much do nvidia software jobs pay per year?

As of Aug 9, 2026, the average yearly pay for nvidia software in Georgia is $94,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $109,800.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an Nvidia software engineer?

To thrive as an Nvidia Software Engineer, you need proficiency in programming languages like C++ and Python, strong knowledge of computer architecture, and often a degree in computer science or a related field. Familiarity with parallel computing platforms such as CUDA, GPU development tools, and version control systems like Git is typically required. Problem-solving abilities, collaboration, and effective communication are crucial soft skills for success in this role. These competencies enable engineers to efficiently develop high-performance software and contribute to innovative graphics and AI solutions.

What is an Nvidia software engineer?

Nvidia Software engineers are professionals who design, develop, and optimize software solutions for Nvidia's products, such as GPUs, AI platforms, and related technologies. They work on a variety of projects, including graphics drivers, deep learning frameworks, and high-performance computing applications. Their role involves collaborating with hardware engineers, improving system performance, and ensuring seamless integration with Nvidia hardware. Nvidia Software engineers are essential in advancing the capabilities of graphics and AI technology.

What is the difference between Nvidia Software vs Nvidia Hardware Engineer?

AspectNvidia SoftwareNvidia Hardware Engineer
Required CredentialsBachelor's in Computer Science, Software Development experienceBachelor's in Electrical Engineering or Computer Engineering, hardware design experience
Work EnvironmentSoftware development teams, R&D labs, collaborative projectsHardware labs, prototyping, testing environments
Industry UsageDeveloping drivers, AI software, GPU programmingDesigning GPU chips, circuit boards, hardware components
Common Search/ComparisonYesNo

In summary, Nvidia Software professionals focus on developing and maintaining software solutions like drivers and AI applications, requiring programming skills and software credentials. Nvidia Hardware Engineers work on designing and testing physical GPU components, requiring engineering expertise. Both roles are vital in the tech industry but differ in their focus and skill sets.

What are common challenges faced by software engineers working at Nvidia, and how can they be addressed?

Software engineers at Nvidia often work on cutting-edge technologies in fields like graphics, AI, and high-performance computing, which can present unique challenges such as rapidly evolving technical requirements and complex problem-solving scenarios. Collaborating across multidisciplinary teams—often globally distributed—requires strong communication and adaptability. To succeed, it's important to proactively seek feedback, stay updated on emerging trends, and leverage Nvidia’s internal learning resources. Embracing a collaborative mindset and being open to continuous learning can help engineers navigate these challenges effectively.
What job categories do people searching Nvidia Software jobs in Georgia look for? The top searched job categories for Nvidia Software jobs in Georgia are:
What cities in Georgia are hiring for Nvidia Software jobs? Cities in Georgia with the most Nvidia Software job openings:
Infographic showing various Nvidia Software job openings in Georgia as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $94,440 per year, or $45.4 per hour.

Senior Project Engineering Manager - Hardware (Robotics & Automation)

Nomagic

Atlanta, GA • On-site, Remote

$91K - $119K/yr

Full-time

Re-posted 10 days ago


Job description

Do you get excited when your software actually interacts with the physical world?
Are you ready to learn the new exciting world of smart robots?
Do you feel tired of working in a big company?
Would you like to cooperate with top professionals in our industry?

If your answers are mostly yes, then you should keep reading.

At Nomagic, we're on a mission to teach robots the real world. We're now looking for a Senior Project Engineering Manager (Hardware), who ensures smooth technical execution of robotic systems by coordinating work across mechanical, electrical, controls, software, and operations teams — and manages the delivery of hardware from concept through customer acceptance.

Offer Essentials
  • Play with robots every day
  • Work Model: Onsite (with flexibility for a hybrid setup)
  • Salary: Competitive US market salary (based on experience) plus equity
  • Relocation package (travel expenses fully covered)
  • Truly flexible working hours
Here is why we love this job ourselves, and hope you will enjoy it too:
  • We build robots powered by AI
  • We have them in production at scale and see their real impact on critical operations.
  • We test our code in unit tests, simulations and on real robots!
  • We're still pretty small, so everyone has a direct impact on the final result
  • Our team has built Google Warsaw, unicorn startups (Climate Corp), tested rocket engines and worked at top companies such as Nvidia or ByteDance. Now we shape the future of smart robotics together!
  • We combine world-class research with top-notch engineering and apply it to solve real problems
Some of the problems you may try to solve with us:
  • Own the system-level technical execution of robotic stations and hardware projects
  • Design and define the overall architecture and layout of robotic cells
  • Coordinate delivery across Mechanical, Electrical, Controls, Software, ML, and Automation teams
  • Drive end-to-end integration from early design through FAT, SAT, commissioning, and customer acceptance
  • Ensure schedules and technical milestones are met from pre-sales handoff through final deployment
  • Understand and assess the impact, priority, and feasibility of proposed improvements or changes
  • Debug issues across the entire hardware/software stack, ensuring ownership is assigned and resolution is driven to closure
  • Analyze robot and system performance data (dashboards, logs, spreadsheets, basic SQL/analytics tools)
  • Act as a technical bridge between engineering teams, project management, and customer-facing roles
  • Support customer site visits and deployments as needed (up to ~40% peak travel)
What skills we’d like you to have:
  • 5–10+ years of experience in hardware, systems, or project engineering for robotics, automation, or industrial systems
  • Proven experience delivering end-to-end robotic or automation projects
  • Strong system-level understanding across mechanical, electrical, and automation domains
  • Ability to deeply understand complex technical systems and debug across boundaries
  • Strong organizational skills and a bias toward execution and delivery
  • Comfortable making technical decisions under time and customer pressure
  • Experience analyzing performance data using tools such as Excel / Google Sheets, dashboards, or basic SQL
  • Excellent communication skills in English (French or German is a plus)
  • Willingness to travel up to ~40% (peak) to customer sites
Nice to have:
  • Experience in intralogistics, warehouse automation, or fulfillment systems
  • Hands-on experience with industrial robots (ABB strongly preferred)
  • Familiarity with FAT/SAT processes and customer acceptance workflows
  • Experience working in fast-scaling or startup robotics environments
 
What should you expect once you apply?
  • 30-minute recruiter screen
  • Hiring manager interview
  • Technical interview (systems & integration focus)
  • Data / analytics discussion
  • Final interview or onsite/virtual loop
  • We make the final decision after max. 2–3 days after on-site interview.
  • Important: Feedback after completing the recruitment process.

See Our Robots in Action:
https://vimeo.com/manage/videos/1051464045
https://vimeo.com/manage/videos/1051465112


Learn more about us at https://nomagic.ai/

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.