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
We are looking for a passionate Data Engineer with exposure to PyTorch and machine learning fundamentals to support data pipeline development and AI/ML-driven applications. This is an entry-level to early-career role focused on building scalable data systems and enabling data-driven solutions in collaboration with data scientists and engineering teams.
What You Will Do
- Design, develop, and maintain data pipelines for structured and unstructured data
- Support data preparation and transformation for AI/ML model training
- Work with data scientists to integrate PyTorch-based models into data workflows
- Perform data cleaning, preprocessing, and feature engineering
- Develop scripts and automation for data ingestion and processing
- Assist in building ETL pipelines and validating data quality
- Work with databases and data warehouses to retrieve and manage data
- Monitor and troubleshoot data pipeline issues
- Create documentation for data processes and workflows
What You Need to Be Successful
- 0–3 years of experience (freshers with relevant training/projects can be considered)
- Strong foundation in:
- Python programming
- SQL and data querying
- Basic exposure to:
- PyTorch or similar frameworks (TensorFlow, Scikit-learn)
- Data processing libraries (Pandas, NumPy)
- Understanding of:
- Data engineering concepts (ETL, pipelines, data transformation)
- Data structures and basic algorithms
- Familiarity with version control systems (Git)
- Good analytical and problem-solving skills
Bonus Points If You Have
- Experience with PyTorch for model training or inference workflows
- Exposure to Big Data or distributed processing frameworks (Spark, Hadoop)
- Basic knowledge of cloud platforms (AWS, Azure, or GCP)
- Understanding of data warehousing or data lakes
- Exposure to ML/data pipelines or feature engineering
What Makes You Eligible
- Bachelor’s degree in Computer Science, Data Science, or related field
- Strong interest in data engineering and AI/ML ecosystem
- Ability to learn quickly and work in a dynamic environment
- Good communication and collaboration skills
- Ability to work in cross-functional teams with minimal supervision
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.