Software Engineer, Machine Learning

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

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 everyday.

Introduction: A Career at HARMAN Automotive

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience

• Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence

• Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role:

This position is part of HARMAN Automotive’s Ready Care R&D organization, focused on delivering production‑ready in‑cabin camera features such as driver monitoring, and vital signs sensing that enhance safety and well‑being for drivers and passengers. We are seeking a hands-on and versatile engineer to develop camera-based in-cabin monitoring systems leveraging advanced AI techniques. You will work closely with domain experts, data scientists, embedded developers, and product teams to build complex machine learning systems that solve real-world problems in production.

What You Will Do:

• Develop and mature new technologies related to machine / deep learning
• Contribute to ML-based subsystems and/or components that are part of pre-production and production features
• Collaborate with subject matter experts and software developers to evaluate new model architectures, training approaches and compute resource requirements
• Support feasibility studies and KPI evaluations as needed

What You Need to Be Successful:

• Bachelor’s degree in a relevant area: electronics, computer science, electrical engineering, etc
• 3+ years of relevant experience post UG
• Strong conceptual understanding in one or more application domains (image/video processing, computer vision, signal processing)
• Demonstrated knowledge of machine / deep learning algorithms
• Prior experience in optimizing AI models and deploying them on edge hardware
• Strong C++/python programming skills
• Familiarity with TensorFlow / Pytorch and relevant libraries for data science

Bonus Points if You Have

• Masters or PhD degree
• Experience authoring peer-reviewed publications and/or patents
• Experience in automotive AI projects
• Fundamentals of computer architecture and embedded systems, especially GPUs / NPUs / SoCs
• Experience in deploying and optimizing deep neural networks on mobile / edge platforms from Samsung, Qualcomm, NVIDIA, etc

What Makes You Eligible

• Be willing to travel up to 5%, domestic and international travel

What We Offer

• Flexible work environment

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

• Extensive training opportunities through our own HARMAN University

• Competitive wellness benefits

• Access to HARMAN Campus Fitness Center and Cafeteria

• 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 to race, 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.