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Gpu Programming Jobs in Massachusetts (NOW HIRING)

GPU programming (CUDA/OpenCL) is preferred. * Innovative approach in development of multi-functional medical instruments including image processing / creating software documentation / writing and ...

$128K - $181K/yr

... GPU programming. - Knowledge of performance analysis, optimization, and debugging techniques. Seize the opportunity to be part of Intel's mission to create world-changing technology that enriches ...

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Gpu Programming information

What is GPU programming?

A GPU Programming job involves writing and optimizing code to run on Graphics Processing Units (GPUs) for parallel computing tasks. This role is commonly found in fields like machine learning, scientific computing, gaming, and data analytics. GPU programmers use languages such as CUDA, OpenCL, or Vulkan to accelerate computations and improve performance. They work closely with software engineers and data scientists to optimize algorithms for high-performance applications.

What are the key skills and qualifications needed to thrive in GPU programming, and why are they important?

To excel in GPU Programming, you need a strong background in parallel computing concepts, mathematics, and proficiency in languages such as CUDA, OpenCL, or DirectX/OpenGL, often supported by a degree in computer science, engineering, or a related field. Familiarity with NVIDIA and AMD GPU development tools, performance profilers, and possibly certifications like NVIDIA's Deep Learning Institute courses are valuable. Teamwork, effective communication, and strong problem-solving abilities are essential soft skills in this field. These competencies enable efficient development, optimization, and integration of high-performance GPU code in real-world applications.

What types of projects or applications do GPU programmers commonly work on?

GPU Programmers are often involved in developing or optimizing software for high-performance applications such as machine learning, scientific simulations, real-time rendering in gaming and visualization, and video/image processing tools. Their daily work may include collaborating with software engineers, data scientists, and hardware teams to create efficient, scalable parallel algorithms that leverage GPU capabilities. The role frequently requires problem-solving to maximize computational efficiency and troubleshooting complex performance bottlenecks. By working across multidisciplinary teams, GPU Programmers help deliver robust solutions for data-intensive problems in areas like healthcare, finance, automotive technology, and entertainment.

What are the most commonly searched types of Gpu Programming jobs in Massachusetts? The most popular types of Gpu Programming jobs in Massachusetts are:
What cities in Massachusetts are hiring for Gpu Programming jobs? Cities in Massachusetts with the most Gpu Programming job openings:
Infographic showing various Gpu Programming job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 14% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Senior Imaging Software Engineer

IPG Photonics

Marlborough, MA

$127K - $167K/yr

Full-time

Re-posted 29 days ago


IPG Photonics rating

8.2

Company rating: 8.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

129th of 487 rated machine equipment manufacturers


Job description

IPG Medical Corporation is focused on developing next-generation medical products based on its state-of-the-art technology. Headquartered in Marlborough, MA, we aspire to work together with our employees and customers to apply light in ways that improve life.

Our mission is to develop innovative medical device laser solutions that make the world a better place. To accomplish this mission, we are committed to attracting and retaining the best talent and an engaged and thriving workforce that drives a sustainable future for our company and society.

Working at IPG Medical Group you can expect challenging projects, a motivating and friendly environment, and competitive benefits.

The Senior Imaging Software Engineer is responsible for working with a team of engineers to develop software solutions used in controllers and peripherals of fiber based lasers and optical amplifier products.

  • Contribute to the development of complex medical instruments through all development phases from design input through verification and validation to manufacturing transfer stages and in coordination with overall system requirements.
  • Assist in developing IP portfolio for these instruments and provide original technical solutions to improve performance, functionality, reliability, and cost requirements.
  • Develop product specifications in coordination with marketing, customers, other company departments, and contracted companies.
  • Maintain business relationships with 3rd party consultants, contractors, and suppliers. Including correspondence when the quality, timeline, or budget are at risk.
  • Sensitivity and awareness of both program budget and product costs, including clinical economics.
  • Assure products are designed to meet stringent global regulatory requirements of medical devices, such as FDA regulations, ISO 13485, CE mark for medical product and others.
  • Assist in development and maintenance of design history files and other documentation to support product regulatory approval and manufacture.

Experience requirements

  • 5+ years of experience in research and development, with a focus on designing medical imaging and control systems,
  • Strong experience in computer vision, image processing, and image manipulation techniques
  • Experience with machine learning Experience with Embedded systems and real-time systems
  • GPU programming (CUDA/OpenCL) is preferred.
  • Innovative approach in development of multi-functional medical instruments including image processing / creating software documentation / writing and understanding software coding with clinical and lab experimentation.
  • Ability to work independently within strict time schedules and budget boundaries, managing multiple suppliers and development partners, negotiating specifications and technical terms of the projects.
  • Experience preparing documentation to support rapid prototyping for pre-clinical and clinical studies.
  • Knowledge of Design Controls and Risk Management practices, regulations and standards, such as FDA QSR's, ISO 13485, EU MDR, ISO 14971, IEC 60601, 60825, and 62366, is preferred.

Technical skills

  • Programming Languages: Proficiency in C++, and Python. Experience with Qt and/or CUDA preferred.
  • Frameworks and Tools: Experience with OpenCV and at least one deep learning framework such as TensorFlow or PyTorch

Education requirements

  • Bachelor of science degree in engineering discipline, MS preferred
  • Knowledge of US and global regulatory requirements for medical devices preferred

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