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Gpu Engineer Salary Jobs in Decatur, GA (NOW HIRING)

STR

Senior Software Engineer

Atlanta, GA

$139K - $160K/yr

GPU programming and optimization (CUDA, OpenCL) * Containerization, CI/CD pipelines, and DevOps ... Pay Information Full-Time Salary Range: $139,000 - $160,000 The salary range listed is based on ...

Super Micro Computer

Service Engineer

Atlanta, GA · On-site

$70K - $100K/yr

... GPU-related issues (ECC errors, thermal throttling, driver mismatches). • Coordinate RMA and ... 100,000 The salary offered will depend on several factors, including your location, level ...

STR

Senior Software Engineer

Atlanta, GA

$139K - $160K/yr

GPU programming and optimization (CUDA, OpenCL) * Containerization, CI/CD pipelines, and DevOps ... Pay Information Full-Time Salary Range: $139,000 - $160,000 The salary range listed is based on ...

STR

Senior Software Engineer

Atlanta, GA · On-site

$139K - $160K/yr

GPU programming and optimization (CUDA, OpenCL) * Containerization, CI/CD pipelines, and DevOps ... Pay Information Full-Time Salary Range: $139,000 - $160,000 The salary range listed is based on ...

Strå

Senior Software Engineer

Atlanta, GA · On-site

$139K - $160K/yr

GPU programming and optimization (CUDA, OpenCL) * Containerization, CI/CD pipelines, and DevOps ... Pay Information Full-Time Salary Range: $139,000 - $160,000 The salary range listed is based on ...

SoloPulse

Senior Software Engineer

Peachtree Corners, GA · On-site

$140K - $160K/yr

Hands-on experience with NVIDIA CUDA and GPU acceleration * Experience with secure, reliable ... Actual salary might vary based on work experience, education, training, critical skills, and/or ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Salary range: 165-225K USD yearly plus benefits plus equity. We are the leading virtual staining ... GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and ...

Dolby

Senior Researcher, Multimodal

Atlanta, GA · On-site

PhD in Computer Science, Electrical and Computer Engineering, or a related field * Minimum of 3+ ... Our salary ranges are determined by role, level, and location. Within the range, individual pay is ...

All JobsGpu Engineer Salary JobsGpu Engineer Salary Jobs in Decatur, GA

Gpu Engineer Salary information

See Decatur, GA salary details

$38.1K

$99.3K

$134.2K

How much do gpu engineer salary jobs pay per year?

As of Jul 29, 2026, the average yearly pay for gpu engineer salary in Decatur, GA is $99,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $113,700.00 per year, depending on experience, location, and employer.

What is the difference between Gpu Engineer Salary vs Hardware Engineer Salary?

AspectGpu Engineer SalaryHardware Engineer Salary
Average Annual Salary$110,000 - $150,000$85,000 - $125,000
Required CredentialsBachelor's or Master's in Computer Engineering, Electrical Engineering, or related fieldsBachelor's or Master's in Electrical, Computer, or Mechanical Engineering
Work EnvironmentTech companies, R&D labs, semiconductor firmsElectronics manufacturing, tech companies, R&D labs
Industry UsageDesigning and optimizing GPU hardware and softwareDesigning and testing electronic hardware components

Gpu Engineers and Hardware Engineers share similar educational backgrounds and work environments, but Gpu Engineers focus specifically on GPU hardware and software optimization, often earning higher salaries due to specialized skills in graphics processing and parallel computing.

What is the average salary of a GPU engineer?

The average salary of a GPU engineer in the United States typically ranges from $110,000 to $170,000 per year, depending on factors such as experience, education, location, and the company. Entry-level GPU engineers may start at a lower salary, while those with several years of experience or working at top tech firms can earn significantly more. Additional compensation such as bonuses, stock options, and benefits may also be included in the total compensation package.

What factors can influence the salary of a GPU Engineer in the tech industry?

The salary of a GPU Engineer can vary based on several factors including years of experience, level of education, and the specific industry or company. Professionals working for large technology firms or semiconductor companies often command higher salaries, especially if they possess expertise in advanced GPU architecture or parallel computing. Geographic location also plays a significant role, with positions in major tech hubs such as Silicon Valley typically offering higher compensation. Additionally, skills in popular programming languages (like CUDA or OpenCL) and experience with machine learning or AI projects can further boost earning potential.

What are the key skills and qualifications needed to thrive as a GPU Engineer, and why are they important?

To thrive as a GPU Engineer, you need a strong background in computer engineering or computer science, with expertise in GPU architectures, parallel programming, and low-level programming languages such as C/C++. Familiarity with tools and frameworks like CUDA, OpenCL, and hardware description languages, as well as experience with performance profiling systems, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set top candidates apart. These skills and qualities are crucial for designing, optimizing, and troubleshooting high-performance GPUs that power modern computing and graphics applications.
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Gpu Engineer Salary jobs near you

ML Ops Technical Architect

Tata Consultancy Service Limited

Atlanta, GA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Must Have Technical/Functional Skills
Technical Skills -
  • Programming Languages: Python, Java
  • Agentic AI : Google ADK, A2A, LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
  • Tool Integration: Gemini Tools, Custom MCP tools
  • Machine Learning Frameworks: Experience with TensorFlow, PyTorch and AutoML.
  • Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP).
  • Cloud Platforms: Google Cloud Platform (GCP), Vertex AI and Kubeflow
  • Data Engineering: Proficiency in data preprocessing and feature engineering.
  • Version Control: Experience with GitHub for version control.
  • Data Science Practices: Skills in building models, testing/validation, and deployment.
  • Databases: DB2, Oracle, BigQuery, BigData, Cassandra, PostGRES
  • Collaboration: Experience working in an Agile framework.
  • RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search.
  • Good to Have: Knowledge in GPU programming, GPU profiling, GPU optimizations & TensorRT

Functional Skills -
  • Experience working with customers in Retail Domain
  • Knowledge in Retail Pricing functionalities is a plus

Roles & Responsibilities
  • Meet with IT and Business teams to understand the requirements and opportunities
  • Architect systems for AI/ML, agent-based AI workflows.
  • Lead the design and development of AI/ML, ML Ops & Agentic AI solutions
  • Develop and optimize ML models, pipelines, and orchestration logic
  • Deploy AI/ML Models, LLM-based pipelines, agent orchestration, and vector-based memory systems
  • Work closely with data scientists, ML engineers, DevOps, and software engineers to ensure seamless integration and deployment of solutions
  • Drive technical strategy, tooling, and infrastructure decisions.
  • Provides management with timely communication on status & utilizes appropriate tools and/or develops custom solutions as required to meet objectives.
  • Identifies areas for process improvement.
  • Maintains appropriate communication within the team and across various teams (i.e., internal and external).

TCS Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-RJ2
Salary Range-$130000-$150,000 a year

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