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Gpu Jobs in Indiana (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

GPU memory optimization techniques (tensor parallelism, pipeline parallelism); LLM caching strategies for inference optimization; RAG architecture design and implementation. * Advanced cloud ...

GPU memory optimization techniques (tensor parallelism, pipeline parallelism); LLM caching strategies for inference optimization; RAG architecture design and implementation. * Advanced cloud ...

Gpu information

See Indiana salary details

$13

$52

$68

How much do gpu jobs pay per hour?

As of Aug 18, 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:

Infographic showing various Gpu job openings in Indiana as of August 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $108,745 per year, or $52.3 per hour.

Senior Embedded Systems Engineer - C++, Python, LabVIEW

Technology Navigators

Markle, IN โ€ข On-site

$135K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 8 days ago


Job description

No sponsorship available. No third-party candidates.
Our client is an industry-leading organization that is revolutionizing the recycling industry by combining cutting-edge data analytics with artificial intelligence to change the way metal is salvaged. This company is passionate about creating a better, more sustainable future and has the technology to make it happen.
This is your chance to get in on the ground floor of a company with top-of-the-line technology, incredible benefits, and a fun, collaborative work culture. They need you, a knowledgeable Senior Embedded Systems Engineer, to join the technical team located in Markle, Indiana.
What you get to do:
-Install, configure, program, test, and troubleshoot GPU boards, digital I/O and DAQ cards, embedded controllers, and directed energy sensing equipment (X-ray, laser scanners, etc.)
-Reduce system failures and downtime by creating effective incident response protocols
-Place a sharp focus on performance and stability for all embedded systems
-Provide technical leadership/mentoring to the growing team of support staff working to improve system uptime
What you need to succeed:
-10+ years of embedded software engineering experience working with Python, C++, and LabVIEW
-Extensive hands-on experience with computer hardware and system configurations (multi-GPU, RAM, motherboards, etc.)
-Recent experience with Linux system installation and administration
-Proven ability to test hardware equipment (oscilloscope, logic analyzer)
What’s in it for you:
This company has an excellent benefits package to enable quality care and healthy work/life balance for its valued employees. You’ll be eligible for health, dental, vision, and life insurance packages (including an HSA option), 401k with company matching, ample PTO, employee assistance programs, a retirement plan, tuition reimbursement, and a referral program.
Don’t wait – apply online today to learn more about this new opportunity in Markle, Indiana!

Company Description

Technology Navigators is a technical staffing firm specialized in recruiting skilled technologists for project-oriented consulting and contract positions. We've been firmly rooted in the Austin technology community since 1999, and have been providing companies that develop, build, and use technology with the people they need to grow their business for over two decades.