GPU Software Engineer

Posted 8 Days Ago
Be an Early Applicant
Breda
5-7 Years Experience
Information Technology • Internet of Things • Other • Software
The Role
Design, code, document, test, and deploy high performance GPU-centric software for signal/image processing. Collaborate with system architects and stakeholders to create scalable designs. Improve processing algorithms to reduce computational burden. Requires 5 years of experience with GPUs and proficiency in CUDA, MATLAB, Python, and C++. Bachelor's degree in relevant field required, Master's preferred.
Summary Generated by Built In

Cyient is a global engineering and technology solutions company. As a Design, Build, and Maintain partner for leading organizations worldwide, we take solution ownership across the value chain to help clients focus on their core, innovate, and stay ahead of the curve. We leverage digital technologies, advanced analytics capabilities, and our domain knowledge and technical expertise, to solve complex business problems.

With over 15,000 employees globally, we partner with clients to operate as part of their extended team in ways that best suit their organization’s culture and requirements. Our industry focus includes aerospace and defence, healthcare, telecommunications, rail transportation, semiconductor, geospatial, industrial, and energy.

Job Description

Working with system and platform architects, system engineers and other stakeholders generate high performance, GPU-centric, platform based, and scalable designs of complex signal/image processing

· Designs, codes, documents, tests (automated), maintains and deploys software

· Reads and analyzes processing algorithm specifications to come up with best compute effective design approaches.

· Works with processing algorithm designers to improve algorithms to decrease computational burden.

You’ve acquired a Minimum of 5 years professional software development experience of complex processing algorithms utilizing GPUs, preferably deployed in medical products.

· You have In-depth knowledge of GPU programming, e.g., CUDA, and of machine learning frameworks.

· Your skills include proficiency with the image/signal processing, as well as experience programming with MATLAB®, Python and C++ (preferred).

· You have a Minimum of a Bachelor of Science in Computer Science, Computer Engineering, Mathematics, Physics, Biomedical, Electrical engineering or related fields and background in theory of medical image formation. M.S. in the above fields is preferred.

Skills & Experience

Computer Engineering, Graphics Processing Units (GPUs), Machine Learning

Cyient is an Equal Opportunity Employer.

 

Cyient recruits, employs, trains, compensates, and promotes regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, and other protected status as required by applicable law. We are proud to be a diverse and inclusive company where our people can focus their whole self on solving problems that matter.

Top Skills

C++
Cuda
Matlab
Python
The Company
HQ: Hartford, CT
13,530 Employees
On-site Workplace
Year Founded: 1991

What We Do

Cyient (Estd: 1991, NSE: CYIENT) is a global engineering and technology solutions company. We engage with customers across their value chain helping to design, build, operate, and maintain the products and services that make them leaders and respected brands in their industries and markets. Customers draw on Cyient’s expertise in engineering, manufacturing, and digital technology to deliver and support their next-generation solutions that meet the highest standards of safety, reliability, and performance.

Cyient’s industry focus includes aerospace and defense, healthcare, telecommunications, rail transportation, semiconductor, geospatial, industrial, and energy.

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