Summer 2024 Internship - Machine Learning Software Engineer
Motorola SolutionsAbout the role
Company Overview
At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter - and we're living up to our purpose everyday by solving for safer. Because people can only be their best when they not only feel safe, but are safe. We're solving for safer - safer communities, safer schools, safer hospitals, safer businesses - safer everywhere. We're building integrated technologies that help protect people, property and places. We're connecting public safety agencies and enterprises - enabling the collaboration that's critical for a more proactive approach to safety and security. We're committed to solving for safer every day because the work we do here matters.
Department Overview
Our Applied Technology organization puts some of Motorola Solutions' brightest minds on unique, highly challenging projects. Based on decades of experience with our customers, we apply leading-edge technologies to support security and safety throughout the world. We engineer our products from start to finish and manufacture them in-house. We're known for low volume and high capability with focused specialization in areas including software-defined radios, advanced antenna solutions, artificial intelligence and machine learning, cybersecurity, signals intelligence and more. We can't tell you much more about what we do, but we can tell you it's amazing.
Job Description
Candidates for this position are software engineering or machine learning students who want real-world development experience on products being delivered to our customers.
Ideal candidates have a background in Artificial Intelligence / Machine Learning along with diverse knowledge and a wide variety of interests, especially in cellular / wireless communications.
You will be involved in the development of software and machine learning models/applications for one or more projects involving our Software Defined Radio (SDR) or custom RF communication system. You will be part of a small (1-6 person), multi-disciplinary team that has full responsibility for product development from requirements gathering to final product delivery.
You may be involved in all areas of development (i.e. requirements analysis, high and low level design, coding, documentation, and testing and validation).
Our products are developed to very high standards of quality and reliability and you will have the opportunity to learn the department’s software process during all development activities.
Candidates with an active security clearance are encouraged to apply.
Experience with AI/ML frameworks (TensorFlow and Pytorch) and knowledge of neural network fundamentals.
Experience with GPU programming with CUDA, OpenCL and/or GPU-based software acceleration libraries
Willingness to learn one or more wireless communication standards (GSM, CDMA, UMTS, LTE, iDEN, Tetra, etc.).
Experience programming in C, C++, Python or Java. Agile software development and/or Git/JIRA experience is a plus.
Excellent verbal and written communication skills are important. You will present status of your progress to other team members and to management. You may also have the opportunity to interact with our customers.
#LI-JM2
#LI-ONSITE
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Basic Requirements
Candidate must be pursuing a Bachelors or Masters degree in Computer Engineering, Computer Science, Software Engineering or related engineering degree
Candidate graduation date must occur between December 2024 and June 2026
Candidate must be a U.S. citizen with ability to obtain necessary security clearance as required by government contract. (See note below)
Travel Requirements
None
Relocation Provided
None
Position Type
Intern
Referral Payment Plan
NoOur U.S. Benefits include:
- Incentive Bonus Plans
- Medical, Dental, Vision benefits
- 401K with Company Match
- 9 Paid Holidays
- Generous Paid Time Off Packages
- Employee Stock Purchase Plan
- Paid Parental & Family Leave
- and more!
EEO Statement
Motorola Solutions is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or, any other protected characteristic.
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