01Overview
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 high-impact AI/ML Engineer with up to 5-7 years of experience to build next-generation Automotive AI systems, aligned with HARMAN AES s vision of agentic, cross-domain automotive intelligence.
This role focuses on developing and deploying SLMs (Small Language Models), VLA/VLM models, and AI orchestration layers across edge and cloud environments, enabling intelligent cockpit, ADAS, and connected vehicle experiences.
What You Will Do
1. AI/ML Model Development, Domain Specific Finetuning Deployment
Develop and optimize SLMs (Small Language Models) for:
In-vehicle conversational AI
Context-aware reasoning and intent handling
Deploy model on Edge Device (CPU, NPU, GPU)
Work with VLM/VLA models for:
Scene understanding, multi-modal perception, and interaction
Implement edge + cloud AI pipelines for real-time inference and hybrid execution
2. Agentic AI Orchestration Systems
Develop AI orchestration layers:
Intent routing and tool routing
Policy engines, scheduling, and coordination
Cross-domain context management
3. Multi-Modal Cross-Domain Intelligence
Build systems integrating:
Voice (ASR, TTS, NLU)
Visual perception (VLM/VLA)
Sensor fusion signals
Enable cross-domain intelligence across cockpit, ADAS, and connected services
4. Data, MLOps
Design ML pipelines and MLOps workflows:
Model training, evaluation, deployment, monitoring
Ensure compliance with
Safety, cybersecurity, and automotive standards
5. Collaboration Engineering Integration
Work with:
Embedded software teams
Cloud/data engineering teams
HMI and system integration teams
Contribute to end-to-end automotive AI platforms and solutions
Bonus Points if You Have
Automotive domain exposure (ADAS, cockpit, connectivity)
Speech AI (ASR, TTS, conversational systems)
Knowledge of
AUTOSAR / embedded systems
Vehicle data platforms
Experience with
Simulation environments
Digital twin / validation platforms
Seamless integration of in-vehicle AI solutions
End-to-end AI engine development on edge devices leveraging NPU, CPU, and GPU capabilities
AI/ML model inference on edge devices using C++ APIs or NNAPI for optimized performance
What Makes You Eligible
Core AI/ML
Strong experience in:
Deep learning, NLP, and computer vision
LLM/SLM fine-tuning and optimization
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
