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Gpu Jobs in Indiana (NOW HIRING)

Deloitte

AI Datacenter Associate VP

Indianapolis, IN · Hybrid

Working fluency in AI/ML workload characteristics (training vs. inference), GPU/TPU architectures, high-performance interconnects (InfiniBand, NVLink), and current cooling and power realities (direct ...

Larian Studios

Engine Programmer

Warsaw, IN · On-site

$110 - $170/hr

Experience with a wide range of CPU and GPU profiling tools * Multithreading should be second nature * Knowledge of modern hardware * This is a full-time, on-site role, requiring your presence in the ...

Gainbridge

Staff ML Engineer

Zionsville, IN · On-site

$190 - $215/hr

Optimize for cost and performance--right‑sizing instances, spot instance strategies, auto‑scaling endpoints and efficient GPU utilization. * Integrate ML infrastructure with our Dagster ...

Group1001

Staff ML Engineer

Zionsville, IN · On-site

Optimize for cost and performance-right-sizing instances, spot instance strategies, auto-scaling endpoints, and efficient GPU utilization * Integrate ML infrastructure with our Dagster orchestration ...

Erm

Visual Simulations Technician

Indianapolis, IN

$95K - $121K/yr

Experience with Chaos V-Ray, particularly real-time GPU rendering. * Demonstrated proficiency with Adobe Photoshop and Adobe InDesign. * Ability to work effectively under tight project deadlines both ...

ERM

Visual Simulations Technician

Indianapolis, IN

$95K - $121K/yr

Experience with Chaos V-Ray, particularly real-time GPU rendering. * Demonstrated proficiency with Adobe Photoshop and Adobe InDesign. * Ability to work effectively under tight project deadlines both ...

Group1001

Staff ML Engineer

Zionsville, IN · On-site

Optimize for cost and performance-right-sizing instances, spot instance strategies, auto-scaling endpoints, and efficient GPU utilization * Integrate ML infrastructure with our Dagster orchestration ...

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Gpu information

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$13

$52

$68

How much do gpu jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for gpu in Indiana is $52.28, according to ZipRecruiter salary data. Most workers in this role earn between $51.44 and $61.78 per hour, depending on experience, location, and employer.

What is a GPU?

A GPU, or Graphics Processing Unit, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images and graphics for display. While originally developed for rendering graphics in video games and visual applications, GPUs are now widely used for parallel processing tasks in areas such as artificial intelligence, data science, and scientific computing. Their architecture allows them to handle thousands of operations simultaneously, making them much faster than traditional CPUs for certain workloads.

What is a GPU engineer?

A GPU job refers to a computing task that utilizes a Graphics Processing Unit (GPU) for acceleration. GPUs are specialized processors designed for parallel processing, making them ideal for tasks like machine learning, scientific simulations, and rendering. Many software applications offload intensive computations to GPUs to improve performance and efficiency. Jobs related to GPUs can involve programming, optimization, and hardware configuration in fields like AI, gaming, and data analysis.

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

To thrive as a GPU Engineer, you need a solid background in computer engineering, mathematics, and programming languages such as C++ or CUDA, often supported by a relevant degree. Familiarity with GPU architectures, parallel computing frameworks, and tools like OpenCL or Vulkan is typically required. Analytical thinking, problem-solving, and teamwork are essential soft skills for innovating and debugging complex systems. These abilities are crucial for optimizing performance, ensuring compatibility, and driving advancements in graphics and computational workloads.

What are some common challenges faced by GPU engineers when optimizing performance for various applications?

GPU engineers often encounter challenges such as balancing high computational throughput with power efficiency, ensuring compatibility across different hardware architectures, and optimizing code for parallel processing. They must also troubleshoot bottlenecks in memory bandwidth and latency that can impact performance. Collaboration with software developers and hardware architects is crucial to identify and resolve these issues, and staying updated with the latest advances in GPU technologies is essential for continued success.

What is the difference between Gpu vs Data Scientist?

AspectGpuData Scientist
Required CredentialsKnowledge of parallel computing, programming skills (CUDA, OpenCL)Degree in Computer Science, Statistics, or related fields; programming skills
Work EnvironmentHardware-focused, technical, often in R&D or engineering teamsData analysis, modeling, research in various industries
Industry UsageTech, gaming, AI, machine learningFinance, healthcare, tech, marketing

Gpu specialists focus on hardware and parallel processing for computing tasks, while data scientists analyze data to extract insights. Both roles require technical skills, but Gpu roles are more hardware-oriented, whereas data scientists focus on data analysis and modeling.

How to get into the graphics processing unit industry?

To enter the GPU industry, candidates typically need a strong background in computer engineering, electrical engineering, or computer science, with skills in programming languages like C++ and knowledge of graphics APIs such as DirectX or Vulkan. Relevant experience can be gained through internships, projects, or certifications in hardware design, GPU architecture, or related fields. Staying updated on industry developments and obtaining certifications like NVIDIA's or AMD's developer programs can also enhance job prospects.

What are the most commonly searched types of Gpu jobs in Indiana?

The most popular types of Gpu jobs in Indiana are:

What are popular job titles related to Gpu jobs in Indiana?

For Gpu jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Gpu jobs in Indiana look for?

The top searched job categories for Gpu jobs in Indiana are:

Gpu jobs near you
Infographic showing various Gpu job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution, with an average salary of $108,745 per year, or $52.3 per hour.

AI Infrastructure Network Architect

Indianapolis, IN • On-site

Hispanic Alliance for Career Enhancement
See more jobs at Hispanic Alliance for Career Enhancementexternal

$144.20 - $288.40/hr

Other

Posted 6 days ago

Job description

CVS Health is seeking a Principal Network Engineer to develop high-performance networks for AI infrastructure in Indianapolis, IN. This role involves designing and implementing state-of-the-art data center solutions aligned with enterprise strategies and supporting large-scale AI/GPU workloads.

The ideal candidate has extensive experience in network engineering, proven expertise in security technologies, and a strong foundation in data center networking principles.

This full-time position offers a competitive salary range of $144,200 to $288,400 alongside comprehensive benefits.

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