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Nvidia Engineering Jobs in Georgia (NOW HIRING)

Honeywell

Sr Advanced AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Experience deploying AI/ML solutions on edge devices (e.g., NVIDIA Jetson) is a plus but not mandatory. * Education & Experience * Bachelor's degree in Computer Science, Electrical Engineering, or a ...

SoloPulse

Senior Software Engineer

Peachtree Corners, GA · On-site

$140K - $160K/yr

... g., NVIDIA Jetson platforms, SDRs) * Architect and optimize systems for embedded and HPC ... Collaborate cross-functionally with engineering, product, and business teams to deliver robust and ...

Super Micro Computer

Service Engineer

Atlanta, GA · On-site

$70K - $100K/yr

... field engineering organization. Essential Duties and Responsibilities: Includes the following ... as NVIDIA HGX/DGX-based systems. • Troubleshoot GPU-related issues (ECC errors, thermal ...

Avani Technology Solutions, Inc.

AWS Architect

Atlanta, GA · On-site

$62.50 - $82/hr

... 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 ...

Honeywell

Sr Advanced AI Engineer

Atlanta, GA

$100K - $138K/yr

Experience deploying AI/ML solutions on edge devices (e.g., NVIDIA Jetson) is a plus but not mandatory. * Education & Experience * Bachelor's degree in Computer Science, Electrical Engineering, or a ...

Honeywell

Sr Advanced AI Engineer

Atlanta, GA

$100K - $138K/yr

Experience deploying AI/ML solutions on edge devices (e.g., NVIDIA Jetson) is a plus but not mandatory. * Education & Experience * Bachelor's degree in Computer Science, Electrical Engineering, or a ...

h2o.ai

Senior Sales Engineer, Healthcare

Atlanta, GA · On-site

$100K - $138K/yr

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS ... What We Are Looking For * 5+ years in pre-sales, sales engineering, or solution architecture roles ...

h2o.ai

Senior Sales Engineer, Healthcare

Atlanta, GA · On-site

$100K - $138K/yr

H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS ... What We Are Looking For * 5+ years in pre-sales, sales engineering, or solution architecture roles ...

EOS

Network Pre-Sales Systems Engineer

Atlanta, GA · On-site

Cisco, Juniper, Arista, Nvidia HPE-Aruba, Palo Alto Networks, etc * Adept at using initiative ... Strong industry knowledge and operational empathy * 5+ yrs of pre-sales engineering or related ...

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 ...

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Nvidia Engineering information

See Georgia salary details

$39.3K

$124K

$146.9K

How much do nvidia engineering jobs pay per year?

As of Jul 26, 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 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.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, hardware engineering, or systems architecture at leading technology companies can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require extensive experience, advanced skills, and often involve leadership responsibilities or working on high-impact projects.

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 or advanced degrees can earn higher compensation, often including bonuses and stock options. The company also values technical expertise in areas like GPU architecture, AI, and deep learning.

How much do NVIDIA application engineers make?

NVIDIA application engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and level. Salaries can increase with specialized skills in GPU programming, deep learning, and related tools, and may include bonuses and benefits. Entry-level positions generally start lower, while senior roles can exceed this range.
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:
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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 July 2026, with employment types broken down into 90% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,013 per year, or $59.6 per hour.
Sr Advanced AI Engineer

Sr Advanced AI Engineer

Honeywell

Atlanta, GA • On-site

$100K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 183 frontline employees who took The Breakroom Quiz

68th of 535 rated manufacturers

Job description


As a Senior Advanced AI Engineer, you will design, develop, and deploy AI-driven solutions for smart buildings and industrial automation systems. Your primary focus will be building advanced ML models, integrating them into real-world control environments, and driving innovation across HVAC, lighting, security, and energy optimization. You will collaborate cross-functionally, mentor junior engineers, and influence multiple projects with your technical expertise.
Responsibilities
  • AI Solutions Design & Integration
    • Design and integrate AI/ML models into Building Management Systems (BMS) and Industrial Control Systems (ICS), including SCADA and PLC environments.
    • Implement real-time API-based and batch-inference workflows.
    • Develop model feedback loops to support continuous learning and performance improvement.
    • Build algorithms for real-time decision-making using sensor, IoT, and industrial process data.
  • Data Engineering
    • Partner with Data Engineering teams on ETL workflows and data preparation for large-scale building and industrial datasets (e.g., HVAC telemetry, energy consumption, machine performance).
    • Contribute to feature engineering and ensure data readiness for modeling
    • Support the development of training pipelines that leverage model registries and tracking systems.
  • Innovation & Research
    • Explore emerging technologies such as generative AI, digital twins, multimodal foundation models, and autonomous control systems.
    • Lead proof-of-concept initiatives and mentor junior engineers through early-stage experimentation.
    • Translate innovative concepts into practical solutions for automation and building intelligence.
  • Performance Optimization
    • Collaborate with MLOps teams to optimize real-time inference across platforms (AKS, GKE, on-prem microk8s).
    • Work with production-ready inference runtimes such as vLLM, ONNX Runtime, and NVIDIA Triton.
    • Contribute to model conversion, quantization, and optimization for efficient inference.
    • Partner with platform engineers on deployment strategies, scalability, and monitoring.
  • Compliance & Security
    • Ensure all AI solutions comply with cybersecurity standards and industrial safety protocols.
    • Maintain training and inference repositories to meet corporate and industry security requirements.

Qualifications
MUST HAVE
  • Technical Expertise
    • Strong proficiency in Python and ML libraries such as PyTorch, TensorFlow, JAX, XGBoost, and scikit-learn.
    • Experience with Kubernetes, Databricks, or comparable platforms.
    • Familiarity with CI/CD practices for AI/ML workflows.
    • Working knowledge of PySpark for data exploration and pipeline contributions.
    • Strong debugging, profiling, and performance engineering skills in Python.
  • AI/ML Knowledge
    • Expertise in one or more key domains: NLP, time-series forecasting, computer vision, or reinforcement learning.
    • Ability to build models with noisy or sparsely labeled datasets.
    • Experience using MLflow or similar tools for tracking, reproducibility, and model registry.
    • Knowledge of converting models for production inference (TorchScript, ONNX).
    • Experience with model performance optimization (e.g., quantization, latency tuning).
    • Working knowledge of applying, fine-tuning, and optimizing foundation models for domain-specific tasks across text, vision, or time-series modalities.
    • Ability to make informed accuracy-cost trade-offs during model design.
  • Innovation Skills
    • Ability to identify emerging AI trends and translate them into practical solutions.
    • Experience in rapid prototyping, proof-of-concept development, and technology scouting.
    • Strong problem-solving mindset with a focus on creative and disruptive solutions.
  • Cloud & Edge Computing
    • Knowledge of AI/ML offerings from major cloud providers (Azure, GCP, or AWS).
    • Experience deploying AI/ML solutions on edge devices (e.g., NVIDIA Jetson) is a plus but not mandatory.
  • Education & Experience
    • Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master's degree preferred.
    • Bachelor's + 6 years of relevant AI/ML experience
    • Master's + 4 years of relevant AI/ML experience
    • PhD + 2 years of relevant AI/ML experience

WE VALUE
  • Experience optimizing deep learning models for NVIDIA Jetson-based edge systems.
  • Experience contributing to platform-agnostic AI/ML solutions.
  • Proven end-to-end ownership of the ML lifecycle, including training, deployment, and feedback loops.
  • Experience with smart building platforms, SCADA systems, or energy management solutions.
  • Demonstrated success delivering innovative AI solutions within automation domains.

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 03/27/2026.
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

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