Advanced Engineer – Embedded Machine Learning

HARMANs engineers and designers are creative purposeful and agile. As part of this team youll 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 youll 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

Were a global multi-disciplinary team thats 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 an Embedded ML Engineer on the Innovation Team you will design and manage end-to-end machine learning systems that continuously enhance in-vehicle audio and infotainment experiences. You will transform raw and real-world data into production-ready solutions while ensuring seamless integration monitoring and iteration of models deployed on embedded will be involved in the full lifecycle from training to inference collaborating closely with Data Scientists DSP Engineers and Audio Experts to design models and audio features. Your key responsibilities will include optimizing model performance on embedded devices and enabling remote updates to deliver continuous improvements based on new data and enhanced features. Additionally you will help establish a closed-loop system by integrating telemetry model performance monitoring and continuous retraining or system enhancements based on real-world usage while adhering to strict privacy safety and reliability standards.

What You Will Do

• Deploy ML models on embedded devices such as ARM processors GPUs NPUs SHARC and other DSP architectures.
• Optimize models for edge hardware (e.g. quantization pruning distillation) to ensure realtime execution within strict latency memory and compute budgets.
• Collaborate with Data Scientists and DSP Engineers to convert research notebooks into robust testable training and inference code; define evaluation criteria acceptance thresholds and quality guardrails.
• Build end-to-end ML systems including telemetry ingestion from vehicles data validation feature processing training evaluation packaging and deployment to production environments.
• Implement continuous training and continuous deployment (CT/CI/CD for ML) with full traceability of model and version registries along with safe rollback mechanisms.
• Partner with Embedded DSP Engineers to ensure realtime execution performance leveraging hardware accelerators such as SIMD MMA or NEON units.
• Estimate and measure modelfootprint metrics (CPU utilization memory usage latency etc.).
• Redesign or restructure model architectures to reduce embedded resource consumption while maintaining similar levels of accuracy and overall model performance.
• Collaborate on OTA and datacollection strategies to support continuous model improvement while adhering to strict privacy constraints.
• Contribute to internal documentation reusable components and best practices; mentor peers on MLOps workflows and edge optimization techniques.
• Implement monitoring systems to track model performance data drift and system behavior in production ensuring reliability and continuous improvement based on real-world usage.
• Design and implement monitoring systems to track model performance data drift and system behavior in production ensuring reliability and continuous improvement based on real-world usage.
• Provide guidance to lessexperienced team members on model deployment strategies and automation of ML pipelines.

What You Need to Be Successful

• 6 years of endtoend ML development experience including model training optimization deployment and monitoring.
• Proficiency in C/C programming language for embedded systems
• Experience working with audio image or signal processing domains
• Experience building data collection architecture design and overall Data Engineering infrastructure
• Experience working with automotive platforms such as Android Automotive OS QNX and embedded Linux.
• Understanding of audiohardware communication protocols such as TDM and I²S.
• Experience profiling and optimizing models on SoC or DSPS (Qualcomm NXP TI NVIDIA SHARC TI)
• Practical experience deploying models on embedded devices such as ARM Cortex cores GPUs NPUs and DSPs (e.g. SHARC).
• Experience building MLOps pipelines including automated training jobs dataset versioning/switching model optimization workflows and unit tests for ML code.
• Strong understanding of realtime systems execution constraints (scheduling interrupts sharedcore resource).
• Strong proficiency in Python and productiongrade machine learning using frameworks such as TensorFlow PyTorch scikitlearn NumPy and Pandas.
• Experience with MLOps practices and CI/CD automation for ML model delivery.
• Experience working with data lakes and cloud data platforms (AWS S3 Azure Databricks etc.) for storage processing and training pipelines.
• Expertise in edge model optimization techniques including quantization (dynamic and posttraining) pruning model compression and mixedprecision execution.
• Working knowledge of privacypreserving data handling (pseudonymization anonymization etc.) dataquality checks and datalineage tracking.
• Strong communication and collaboration skills with the ability to work effectively in an intercultural and crossfunctional team.
• Proven ability to write unit tests integration tests and performance benchmarks for ML models and data pipelines.
• Ability to work in rapid prototyping environments; selfdriven fast learner with a strong passion for innovation and problem solving with strong sense of ownership to reach goals on time.

Bonus Points if You Have

• Bachelors or Masters degree in Computer Science Electrical Engineering Machine Learning Signal Processing or a closely related field.
• Applied knowledge of audio signal processing such as STFT melspectrogram features and filtering and experience using python audio libraries like Librosa SciPy or PyAudio.
• Familiarity with OTA update flows artifact versioning and safe rollback mechanisms.
• Experience building reproducible workingenvironment (docker virtual environments)
• Proven experience with formal softwaredevelopment processes and the Scrum framework.
• Experience connecting data cloud services directly on python

What Makes You Eligible

• Advanced English communication skill will be part of a Global team
• Willing to work in an office at Bangalore.

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 products (JBL HARMAN Kardon AKG and more)
• 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.

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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 torace 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.