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Cuda Engineer Jobs in Georgia (NOW HIRING)

Lorven Technologies

Go & Python Developer

Atlanta, GA · On-site

$48.25 - $66.50/hr

Go & Python Developer Location: Atlanta, GA Required Skills: * Core Language & Runtime: Go (primary ... GPU compute (NVIDIA CUDA/DCGM, vllm, llm-d, Intel Level-Zero/ driver stack and SR-IOV)

Deloitte

HPC AI Solution Architect (S2S)

Atlanta, GA · On-site

Work you'll do As a Lead Cloud Integrated Infra Engineer on the Silicon2Service team, you will be ... drivers, CUDA container runtime, and cluster lifecycle automation * 2+ years automating ...

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Cuda Engineer information

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$30.8K

$90.6K

$116.1K

How much do cuda engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for cuda engineer in Georgia is $90,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $114,800.00 per year, depending on experience, location, and employer.

What is a CUDA engineer?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What are the key skills and qualifications needed to thrive as a CUDA engineer?

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

What are some common challenges faced by CUDA engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

What are popular job titles related to Cuda Engineer jobs in Georgia?

For Cuda Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Cuda Engineer jobs in Georgia look for?

The top searched job categories for Cuda Engineer jobs in Georgia are:

What cities in Georgia are hiring for Cuda Engineer jobs?

Cities in Georgia with the most Cuda Engineer job openings:

Cuda Engineer jobs near you
Infographic showing various Cuda Engineer job openings in Georgia as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $90,587 per year, or $43.6 per hour.

Software Engineer Intern/Co-Op - Fall 2026

SoloPulse

Peachtree Corners, GA • On-site

Full-time

Re-posted 23 days ago

Job description

SoloPulse Corp is a dual-use radar company committed to the relentless exploration of the frontiers of radar sensing technology. Through the utilization of novel advanced wave theory algorithms, underpinned by the principles of special relativity, SoloPulse can achieve state of the art resolution and latency metrics. Located in Atlanta, GA, SoloPulse stands as a venture-backed startup, diligently cultivating strategic collaborations to proactively address critical safety imperatives and emerging autonomy needs across both civilian and military domains. Our distinguished team encompasses accomplished engineers, seasoned advisors, and experienced startup veterans, collectively driven by an overarching mission to change the way the world sees. 
 
As a Software Engineer Intern/Co-op at SoloPulse, you will play a critical role in the development of our software solutions. You will work on a wide range of tasks, from algorithm development to frontend-backend integration.
Responsibilities
  • Design, develop, test, and deploy software solutions using a variety of programming languages and technologies
  • Implement and maintain both frontend and backend components of our applications
  • Develop and optimize algorithms to solve complex problems
  • Engineer low-latency solutions to proprietary computational operations
  • Collaborate with cross-functional teams to understand and define software requirements
Qualifications
  • Must be pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering or related quantitative field from an accredited 4-year university
  • Proficiency in Python and C++
  • Familiarity with embedded and real-time systems programming
  • Knowledge of software architecture and design paradigms
  • Strong communication and teamwork skills
  • Willingness to take ownership of projects and work autonomously
Bonus Qualifications
  • A strong portfolio of personal software or hardware-related projects
  • Familiarity with the CUDA toolkit and associated programming practices
  • Familiarity with GPU-accelerated libraries such as PyTorch and OpenGL/ThreeJS
Join our team and be part of a dynamic, collaborative environment where innovation and creativity thrive. We offer competitive compensation and the opportunity to work on groundbreaking projects that will shape the future of radar technology. 
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.
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