HARMAN

Principal Engineer, Testing – In-Cabin Radar

IN_Bangalore_Sattva Knowledge Court Bdg_HII Full time

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 radar features (such as child presence detection and occupant classification) that enhance safety and well‑being for drivers and passengers. We are seeking a hands-on and versatile engineer to lead the testing and operationalization of AI-based  in-cabin radar systems. You will work closely with radar signal processing engineers, data scientists, embedded developers, and product teams to build test infrastructure, automate pipelines, and validate performance across real-world scenarios.

What You Will Do

Radar Testing

  • Design and implement test plans for validating in-cabin radar features (e.g., child presence detection, occupancy detection, occupancy classification).
  • Develop automated test frameworks for regression, robustness, and edge-case validation using real and synthetic data.
  • Plan and execute lab & vehicle experiments; curate datasets; define and automate offline/online evaluation to report KPI trends across environments, occupants, and seating configurations.
  • Conduct performance benchmarking (latency, accuracy, reliability) on embedded platforms (e.g., TI AWR6843/44, NVIDIA Jetson, Qualcomm).
  • Collaborate with radar HW, SW, signal processing and ML teams to debug and resolve integration issues.

MLOps & Infrastructure (Nice to have)

  • Build and maintain CI/CD pipelines for model training, evaluation, and deployment.
  • Manage model versioning, reproducibility, and monitoring in production environments.
  • Integrate testing and validation into the ML lifecycle to ensure continuous quality.
  • Optimize inference workflows for embedded deployment.

What You Need to Be Successful

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.
  • 10+ years of experience in digital signal processing, embedded systems, or ML infrastructure.
  • Strong programming skills in MATLAB/Python and C++.
  • Familiarity with test automation tools (e.g., GTest, pytest, CANoe, MATLAB Test) and embedded validation workflows.
  • Understanding of FMCW MIMO radars (beamforming/DOA, range–Doppler processing, calibration, clutter and multi‑path mitigation).
  • Comfort working across lab & vehicle environments, with structured test planning, data logging, and statistical analysis of results.

Bonus Points if You Have

  • Experience with automotive standards (e.g., ASPICE, Euro NCAP, GSR).
  • Exposure to in-cabin radar or camera feature testing.
  • Experience with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps tools (e.g., MLflow).
  • Familiarity with data annotation tools and synthetic data generation.
  • ISTQB qualification

What Makes You Eligible

  • Be willing to work in Harman office, India (hybrid).
  • Be willing to travel 5%
  • Successfully complete a background investigation and drug screen as a condition of employment

What We Offer

  • Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location
  • 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
  • Tuition reimbursement
  • “Be Brilliant” employee recognition and rewards program
  • An inclusive and diverse work environment that fosters and encourages professional and personal development

#LI-KN1

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.