Intern - Software Engineering
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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.
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
- What You Need to Be Successful
- 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
Benefits
Additional Information
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, you'll 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 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
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