Software Engineering

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

As a Software Engineer in the Reporting, Statistics and Automation (RSA) team, you will play a key role in designing and developing software solutions that enhance data reporting, statistical analysis, and process automation. Your responsibilities will span the full software development lifecycle—from prototyping and writing functional code to testing, deployment, and maintenance.

This role will leverage your expertise in programming languages, databases, and data visualization tools to build scalable and efficient systems. You will collaborate closely with cross-functional teams to support various stages of development, ensuring that solutions align with business needs and technical standards.

In addition, you will contribute to the thoughtful and responsible use of AI technologies, assessing when and how AI can be applied to improve the automation of reporting workflows, enhance data quality and insight generation, and streamline processes both within the team and across the organization.

You will report directly to the RSA Manager, contributing to initiatives that improve reporting accuracy, automate repetitive tasks, and optimize data workflows across the organization.

What You Will Do

• Independently design, develop, and enhance automated reporting tools and statistical dashboards that support enterprise-wide data insights and decision-making.

• Take ownership of data quality assurance processes, ensuring compliance with reporting standards and automation protocols across systems.

• Collaborate closely with cross-functional teams—including data analytics, operations, and engineering—to optimize reporting accuracy and streamline data workflows.

• Build and maintain scalable automation solutions that improve the efficiency and reliability of data collection, transformation, and visualization pipelines.

• Proactively identify opportunities to improve reporting workflows, automation strategies, and data infrastructure, contributing to the continuous evolution of best practices.

• Solve moderately complex technical challenges with minimal guidance, while mentoring junior team members and fostering a culture of operational excellence.

• Assess, design, and apply AI-driven solutions where appropriate, deciding when and how AI can be used responsibly and effectively to improve the automation of reporting workflows, enhance data quality checks, optimize analytical processes, and streamline operational processes both within the team and across collaborating teams.

What You Need to Be Successful

• Advanced understanding of reporting frameworks, data pipelines, and automation tools, with the ability to design and optimize end-to-end reporting solutions.

• 3–5 years of hands-on experience with Python, SQL, and data visualization platforms (e.g.: Qlik, Power BI), applied in production environments.

• Strong grasp of software development principles, including version control, automated testing, CI/CD pipelines, and deployment strategies.

• Proven ability to develop, scale, and maintain automated reporting systems and work with complex relational databases.

• A collaborative mindset and intellectual curiosity to engage with cross-functional teams (e.g., Engineering,