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Assistant Cuda Jobs in Boston, MA (NOW HIRING)

IPG Photonics

Senior Software Engineer

Marlborough, MA · On-site

$127K - $167K/yr

... requirements. * Assist in developing IP portfolio for these instruments and provide original ... GPU programming (CUDA/OpenCL) is preferred. * Innovative approach in development of multi ...

IPG Photonics

Senior Software Engineer

Marlborough, MA

$127K - $167K/yr

... requirements. * Assist in developing IP portfolio for these instruments and provide original ... GPU programming (CUDA/OpenCL) is preferred. * Innovative approach in development of multi ...

Zoox

Software Engineer - C++ GPU Performance

Boston, MA · On-site

$163K - $251K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Zoox

Software Engineer - C++ GPU Performance

Boston, MA · On-site

$168K - $239K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Zoox

Software Engineer - C++ GPU Performance

Boston, MA

$152K/yr

Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

IPG Photonics

Senior Software Engineer

Marlborough, MA

$93K - $123K/yr

... requirements. * Assist in developing IP portfolio for these instruments and provide original ... GPU programming (CUDA/OpenCL) is preferred. * Innovative approach in development of multi ...

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Assistant Cuda information

What are the roles and responsibilities of an assistant CUDA developer?

An Assistant Cuda typically supports senior CUDA (Compute Unified Device Architecture) developers or teams working with NVIDIA’s parallel computing platform. Their responsibilities include assisting in developing, testing, and optimizing code written for GPUs to accelerate computing tasks, debugging CUDA applications, and maintaining documentation. They may also handle routine tasks such as performance benchmarking, code reviews, and collaborating with other team members to implement efficient GPU solutions. This role is crucial in organizations that rely on high-performance computing, scientific simulations, or AI workloads.

What skills and qualifications are needed to thrive as an assistant CUDA developer?

To thrive as an Assistant CUDA Developer, you need strong programming skills in C/C++, a solid understanding of parallel computing concepts, and familiarity with GPU architectures, often backed by a degree in computer science or a related field. Proficiency with CUDA development tools, debugging utilities, and version control systems like Git is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for collaborating with teams and optimizing code. These skills ensure efficient development of high-performance applications and successful integration of GPU acceleration into software solutions.

What are common challenges faced by assistant CUDA developers when optimizing code for GPU performance?

Assistant CUDA developers often encounter challenges such as managing memory efficiently between the host and device, ensuring proper kernel parallelization, and avoiding thread divergence. Balancing occupancy and resource usage can also be tricky, as it requires a deep understanding of how CUDA schedules and executes threads. Collaborating closely with data scientists and other engineers is essential to identify performance bottlenecks and implement effective optimizations.

What is the difference between Assistant Cuda vs Assistant Data Analyst?

AspectAssistant CudaAssistant Data Analyst
Required CredentialsTypically a relevant degree in computer science or related fieldOften a degree in data science, statistics, or related field
Work EnvironmentTech companies, software development teams, AI projectsBusiness, finance, marketing, or research departments
Employer & Industry UsageUsed in tech and AI industries for supporting CUDA programming tasksCommon in data-driven industries for data processing and analysis

Assistant Cuda and Assistant Data Analyst roles share some technical background but differ mainly in focus. Assistant Cuda primarily supports GPU programming and AI development, while Assistant Data Analyst focuses on data interpretation and reporting. Both roles require relevant technical skills and are found in industries leveraging data and technology, but their daily tasks and industry applications vary significantly.

What are the most commonly searched types of Cuda jobs in Boston, MA?

The most popular types of Cuda jobs in Boston, MA are:

What are popular job titles related to Assistant Cuda jobs in Boston, MA?

For Assistant Cuda jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Assistant Cuda jobs in Boston, MA look for?

The top searched job categories for Assistant Cuda jobs in Boston, MA are:

What cities near Boston, MA are hiring for Assistant Cuda jobs?

Cities near Boston, MA with the most Assistant Cuda job openings:

Assistant Cuda jobs near you

Senior Software Engineer

Marlborough, MA • On-site

IPG Photonics
Electrical Equipment, Appliance, and Component Manufacturing • 1 - 5K employees

8.2

Company rating: 8.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

131st of 495 rated machine equipment manufacturers

People enjoy working here

Good employer

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Learn more about IPG Photonicsexternal

$127K - $167K/yr

Full-time

Re-posted 21 days ago

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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