Software Research Engineer GM R&D

Warren, Michigan


Employer: Cognizant Technology Solutions
Industry: Technology & Engineering
Salary: Competitive
Job type: Full-Time

Software Research Engineer GM R&D

What you'll be doing:

Seeking a candidate with software engineering research expertise to develop algorithms for functional services for a remote (vehicle) sensor data collection system that can communicate wirelessly with the Backoffice. The project shall cover multiple phases including the following stages: (vehicle)sensor data processing, neurale network data collection application development, secure end-to-end wireless communication pipelining, data treatment enrichment, and field experiments. The project shall the implementation and training of deep neural networks for perception and implementation into an autonomous driving system.

What you need for this position:

• Computer science background, or similar background, and is able to write computer

programs independently

• Must possess a Master's degree

• at least 3+ years of Experienced with C/C++, Java and/or Python (include academical

experience)

• Experience for at least 3+ years with advanced data structures, multi-threading, machine

learning and text-book algorithms (sorting, trees, sets)

• at least 3+ years of Experienced with deep learning models like convolutional neural

networks (CNN) and transformers (include academical experience)

• Good communication and problem solving abilities

Preferred Requirements:

• PhD degree in Computer Science, Electrical Engineering, or a related discipline with 3+ years of

experience.

• Proficient level of embedded C/C++ programming experience is highly preferred

• Good knowledge in data structure and algorithm design.

• Good critical thinking skills and software debugging skills.

• Strong system building skills in Linux development, such as, socket programming, multi-thread programming, virtual machine/container building, embedded system software development, etc.

• Some knowledge or experience in wireless networks, network protocols, will be an advantage.

• Good understanding of Python, C++, and object-oriented design patterns.

• Knowledge and understanding of neural network simulation tools like CARLA and/or dspace AURELION

• Automotive background in electrical/mechanical/Software/sensing etc.

The candidate is willing to work fulltime on client side (GM facility, Warren, MI) in a hybrid

working model

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
  • Cognizant is a global community with more than 345,000 associates around the world.
  • We don't just dream of a better way - we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what's right.
  • We foster an innovative environment where you can build the career path that's right for you.

About us:
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, helping organizations modernize technology, reimagine processes and transform experiences so they stay ahead in a fast-changing world.

Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Created: 2024-06-07
Reference: 00059457091
Country: United States
State: Michigan
City: Warren
ZIP: 48093