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Cuda Engineer Jobs in Webster, MA (NOW HIRING)

RTX

Electrical Engineer I (Onsite)

Marlborough, MA

We bring the strength of more than 100 years of experience and renowned engineering expertise to ... Experience developing applications for GPU using CUDA or OpenCL. * Experience in Root-Cause ...

RTX

Electrical Engineer I (Onsite)

Marlborough, MA · On-site

We bring the strength of more than 100 years of experience and renowned engineering expertise to ... Experience developing applications for GPU using CUDA or OpenCL. * Experience in Root-Cause ...

RTX

Electrical Engineer II (Onsite)

Marlborough, MA · On-site

We bring the strength of more than 100 years of experience and renowned engineering expertise to ... Experience developing applications for GPU using CUDA or OpenCL. * Experience in Root-Cause ...

RTX

Electrical Engineer II (Onsite)

Marlborough, MA

We bring the strength of more than 100 years of experience and renowned engineering expertise to ... Experience developing applications for GPU using CUDA or OpenCL. * Experience in Root-Cause ...

Raytheon

Senior Software Engineer - C++

Marlborough, MA

$127K - $167K/yr

Raytheon brings the strength of more than 100 years of experience and renowned engineering ... Experience developing GPU software with Nvidia Cuda. * Radar or DSP knowledge. What We Offer: * Our ...

Raytheon

Senior Software Engineer - C++

Marlborough, MA

$127K - $167K/yr

Raytheon brings the strength of more than 100 years of experience and renowned engineering ... Experience developing GPU software with Nvidia Cuda. * Radar or DSP knowledge. What We Offer: * Our ...

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Cuda Engineer information

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$37.8K

$111.1K

$142.4K

How much do cuda engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for cuda engineer in Webster, MA is $111,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,600.00 and $140,800.00 per year, depending on experience, location, and employer.

What is a CUDA engineer?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

How much do Cuda engineers make?

Cuda engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and parallel computing tend to have higher salaries. Certifications and a strong understanding of CUDA tools can also influence compensation.

What are some common challenges faced by CUDA engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

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

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.

Are CUDA engineers in demand?

CUDA engineers are in high demand due to the increasing use of GPU computing in fields like artificial intelligence, machine learning, and high-performance computing. Skills in CUDA programming, parallel processing, and related tools are highly valued by employers across technology, research, and industry sectors.
What cities near Webster, MA are hiring for Cuda Engineer jobs? Cities near Webster, MA with the most Cuda Engineer job openings:
Cuda Engineer jobs near you
Infographic showing various Cuda Engineer job openings in Webster, MA as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,083 per year, or $53.4 per hour.

Senior Imaging Software Engineer

IPG Photonics

Marlborough, MA • On-site

$127K - $167K/yr

Full-time

Re-posted 27 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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