AI Engineering Intern
Columbia, MD, United States
Renesas Electronics
A global leader in microcontrollers, analog, power and SoC products, Renesas delivers trusted embedded design innovation to shape a limitless future.Company Description
Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure, and IoT markets. Our robust product portfolio includes world-leading MCUs, SoCs, analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you.
Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world.
Job Description
We use advanced mathematics to create disruptive artificial intelligence tools for engineers building all kinds of smart, connected devices. We apply new AI methods to develop real-world embedded product solutions. Sound like fun?
Reality Analytics (now part of Renesas Electronics) in Columbia, MD, has opportunities in signal and sensing AI system development for candidates with strong mathematical and engineering backgrounds and a creative attitude.
Work spans signal classification of real-world sensor data, machine learning from large data sets, analysis and processing of signal data, and hands-on experience in field data recording, labeling, and preparation. You will work with audio, vibration, accelerometer, electrical, radar, and other signal data types.
Qualifications
- ** Candidate MUST be in Maryland **
- Enrolled in a graduate degree program in Electrical, Computer Engineering, Computer Science & Engineering, Data Science, Statistics, OR Mathematics.
- Must be a Master or Ph.D student.
- Strong knowledge of MATLAB, Python, or C++ programming.
- Some hands-on exposure to machine learning, and signals at least at the classroom or project level.
- Signal processing experience is a plus Experience in large data sets and video is a plus.
- 100% onsite work is required for this position
Additional Information
Renesas Electronics Corporation empowers a safer, smarter and more sustainable future where technology helps make our lives easier. The leading global provider of microcontrollers, Renesas combines our expertise in embedded processing, analog, power and connectivity to deliver complete semiconductor solutions. These Winning Combinations accelerate time to market for automotive, industrial, infrastructure and IoT applications, enabling billions of connected, intelligent devices that enhance the way people work and live. Learn more at renesas.com.
Renesas’ mission, To Make Our Lives Easier, is underpinned by our company culture, TAGIE. TAGIE stands for Transparent, Agile, Global, Innovative and Entrepreneurial. Our goal is to embed this unique culture in everything we do to succeed as a company and create trust with our diverse colleagues, customers and stakeholders.
Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law.
Tags: Agile Classification Computer Science Engineering Industrial Machine Learning Mathematics Matlab Python Radar Statistics
Perks/benefits: Career development
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