Intern – Software Engineering

A Career at HARMAN

As a technology leader that is rapidly on the move HARMAN is filled with people who are focused on making life better. Innovation inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together youll discover that at HARMAN you can grow make a difference and be proud of the work you do every day.

Introduction: A Career at HARMAN Lifestyle

Were a global multi-disciplinary team thats putting the innovative power of technology to work and transforming tomorrow. As a member of HARMAN Lifestyle you connect consumers with the power of superior sound.

• Contribute your talents to high-end esteemed brands like JBL Mark Levinson and Revel

• Unite your passion for audio innovation with high-tech product development

• Create pitch-perfect cutting-edge technology that elevates the listening experience

About the Role

HARMANs diverse portfolio of businesses and customers offers interns a great opportunity to gain exposure to a wide range of projects and practices. As a member of our Embedded Systems team your primary role will be todevelop and optimize machine learning inference systems for resource-constrained edge devices and embedded platforms.

Youll work across the complete ML lifecyclefrom data collection and validation to feature engineering model training and deploying optimized inference on embedded hardware. This internship offers hands-on experience in ML system optimization edge computing embedded Linux deployment and practical problem-solving in a production-focused environment.

HARMANs diverse portfolio of businesses and customers offers interns a great opportunity to gain exposure to a wide range of projects and practices. As a member of our team your primary role will be to design train and deploy machine learning systems on embedded platforms and edge devices with real-time performance constraints.

What You Will Do

• Collect validate and prepare datasets Design data collection protocols build validation pipelines and organize datasets with proper labeling and metadata management

• Engineer features and improve ML models Analyze signal data extract meaningful features train machine learning models and use cross-validation to optimize accuracy and identify bottlenecks

• Optimize models for embedded deployment Convert models to efficient formats profile CPU and memory usage and reduce inference latency on resource-constrained hardware

• Deploy and test on edge devices Build inference wrappers deploy optimized models to ARM-based embedded Linux devices and troubleshoot real-time system execution

• Write clean tested code and documentation Develop modular Python code write unit tests create comprehensive documentation and collaborate via Git version control and code reviews

• Profile performance and solve bottlenecks Identify performance issues using profiling tools implement optimizations and measure the impact on latency and resource consumption

• Participate in team collaboration Attend technical discussions participate in code reviews pair program with team members and present progress and learnings

What You Need to Be Successful

• Must be currently enrolled in a Bachelors Degree program in Sophomore year or later or graduate/Ph. D program at an accredited institution taking at least one class in the semester prior to the internship program and returning to school for at least one semester upon completion of the internship program

• Degree must be in related area of work with courses in Computer Science Computer Engineering Electrical Engineering Data Science or related fields.

• Must have strong oral and written communication skills and be able to confidently interact and present information to senior leaders

• Must work collaboratively with strong interpersonal and relationship building skills

Bonus Points if You Have

• Previous entry level work experience strongly preferred

• Strongly prefer candidates who live within a commutable distance

What Makes You Eligible

• Be willing to work in an office in Sunnyvale California (Onsite).

• Successfully complete a background investigation and drug screen as a condition of employment

• Provide work availability for 12 weeks.

• Must provide own housing and transportation to/from work

• Must provide proper work authorization

What We Offer

• Flexible work environment allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location

• Access to employee discounts on world-class Harman and Samsung products (JBL HARMAN Kardon AKG etc.)

• Extensive training opportunities through our own HARMAN University

• An inclusive and diverse work environment that fosters and encourages professional and personal development

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HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics.