Capgemini and Cambridge Consultants
The Cambridge Consultants brand under Capgemini develops breakthrough products, creates and licenses intellectual property, and provides business consultancy in technology-critical issues for clients worldwide. For more than 50 years, the company has been helping its clients turn business opportunities into commercial successes, whether they are launching first-to-market products, entering new markets, or expanding existing markets through the introduction of new technologies.
The Capgemini Group is 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, reporting 2023 Global revenues of €22.5 billion. 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.
Role Description
The newly-formed Digital Signal Processing (DSP) group in North America develops innovative new technology to enable world-leading wireless communications capabilities for US Government applications. We are looking for talented, experienced DSP engineers with an interest in designing and implementing systems using advanced signal processing algorithms to create new capabilities in the areas of wireless communications, sensors, audio processing, and image processing systems.
In this role you will design and develop prototype systems that demonstrate novel capabilities for a diverse range of products. Whereas Cambridge Consultants has produced innovations linked below for commercial entities, our team has been spun out in order to provide this sort of advanced capability for US Government clients.
- Ultra-reliable communications for satellites
- IP block acceleration of Voice Activity Detection using custom in-house DSP cores
- Map-based indoor navigation using sensor fusion
- Next generation commercial radio receiver design
- Communications system for a fleet of bots in a challenging indoor environment
You’ll engage with clients that are stretching the art of the possible by combining state-of-the-art signal processing theory with a practical approach to implementation on a wide variety of processing platforms.
What we offer
You’ll have the opportunity to steer your career along the path of your choice, whether you prefer meeting and talking with clients or leading teams on innovative projects. Our collaborative and supportive working environment allows our engineers to quickly develop their skills and knowledge in unfamiliar areas, enabling us to drive development of cutting-edge technologies at a rapid pace.
As a member of this new team, you will be involved in every stage of our technology development life cycle, from developing proof-of-concept demonstrations for initial sales leads to designing, implementing, and testing innovative new products. In addition to day-to-day project work you’ll also play a part in creating the Capgemini of tomorrow: contributing to new IP generation, influencing the direction or our DSP skillset development, and evolving our capabilities in groundbreaking new technologies.
What you’ll bring
- A passion for signal processing with a desire to broaden your horizons in new and exciting areas
- MS/BS with 7+ years of experience in a field related to digital signal processing (e.g., computer science, computer engineering, electrical engineering, physics, mathematics, etc.)
- Good knowledge of signal processing theory and applications for communications systems
- 7+ Years experience in FPGA design, verification, synthesis, and RTL coding/simulation
- Experience with scripting and analysis tools such as MATLAB or Python
- C, C++, or Rust programming and software engineering skills
- Good testing habits: unit testing, system testing, regression testing, etc.…
- Verbal and written communication skills to convey your designs and ideas
The following are not required, but experience in any of these areas would be advantageous
- Experience in embedded real-time programming
- Experience with RF or Audio test equipment
- Experience in image, audio, and/or machine learning algorithm development and implementation
- Exposure to relevant industry communications standards (3GPP, IEEE, WiFi, Bluetooth, etc.)
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Disclaimer
Capgemini is an Equal Opportunity Employer. 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 http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
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.
This role performs work on US Government projects, so U.S. citizenship is required.
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