Intern – Software Engineering

HARMAN International • Sunnyvale, CA

4d • Onsite

About The Position

A Career at HARMAN Lifestyle We’re a global, multi-disciplinary team that’s 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 HARMAN's 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 to develop and optimize machine learning inference systems for resource-constrained edge devices and embedded platforms. You'll work across the complete ML lifecycle—from 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. HARMAN’s 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.

Requirements

• Must be currently enrolled in a Bachelor's 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

Nice To Haves

• Previous entry level work experience strongly preferred
• Strongly prefer candidates who live within a commutable distance

Responsibilities

• 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

Benefits

• 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
• paid sick leave
• medical benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Intern