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Embedded Software Engineer - CUDA

Company:
Capgemini Engineering
Location:
Waukesha, WI, 53188
Posted:
May 05, 2025
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Description:

Role – Embedded Software Engineer – GPU/CUDA

Location – Waukesha WI - Onsite

Hire Type : Full Time

JD

Expert Software Engineer worked on OpenCL, Understand the GPU architecture. Should be able to work on image reconstruction algorithms (adopting MatLab algorithms to GPU), automation testing, performance testing.

Your Role

• The ideal candidate will possess an in-depth understanding of parallel computing concepts,

• experience with OpenCL’s execution model and memory hierarchy, and the ability to optimize code for high-performance execution across various computing devices.

• Proficiency in GPU programming languages such as CUDA

• Strong understanding of computer architecture, memory systems, and parallel algorithms

• This project requires a mix of technical expertise in cryptography, parallel computing, and efficient data handling.

• Strong communication skills and ability to work effectively in a collaborative team environment.

• Experience with profiling and debugging tools for GPU applications, such as NVIDIA Nsight is plus.

• Testing of system

Your skills and experience:

• 5+ years of experience in GPU computing, with a focus on performance optimization and parallel programming

• The ideal candidate will possess an in-depth understanding of parallel computing concepts,

• experience with OpenCL’s execution model and memory hierarchy, and the ability to optimize code for high-performance execution across various computing devices.

• Proficiency in GPU programming languages such as CUDA

• Strong understanding of computer architecture, memory systems, and parallel algorithms

• This project requires a mix of technical expertise in cryptography, parallel computing, and efficient data handling.

• Strong communication skills and ability to work effectively in a collaborative team environment.

• Experience with profiling and debugging tools for GPU applications, such as NVIDIA Nsight is plus.

Required Skills:

• Open CL/ CUDA

• MatLab

• Understanding of the GPU architecture.

• Understanding of parallel computing concepts

Good to have:

• Automation Testing Experience

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible work.

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

About Capgemini Engineering

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.

Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get the Future You Want

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

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