Browse Jobs
Explore open roles across India.Explore active software roles. Sign up to apply and get AI match scores.
Top MatchesTop Job Matches
Loading jobs…
Back to Browse Jobs
HARMAN India
Advanced Engineer-AI/ML
HARMAN India
Bengaluru•Hybrid•5-8 Yrs•10 hours ago
Job description
Hybrid
Overview
Introduction: A Career at HARMAN Automotive
Responsibilities
- 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
- Agentic AI & Orchestration Systems
- Develop AI orchestration layers:
- Intent routing and tool routing
- Policy engines, scheduling, and coordination
- Cross-domain context management
- 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
- Data, MLOps
- Design ML pipelines and MLOps workflows:
- Model training, evaluation, deployment, monitoring
- Ensure compliance with:
- Safety, cybersecurity, and automotive standards
- 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
Qualifications
- 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
- Strong experience in:
- Deep learning, NLP, and computer vision
- LLM/SLM fine-tuning and optimization
- Exposure to VLM/VLA or multi-modal AI models
- Hands-on experience with:
- AI agents / tool-using LLMs
- Orchestration frameworks (LangChain, Langgraph/Autogent/Semantic Kernel, custom pipelines)
- MCP Servers
- Embedded / edge platforms
- Cloud environments (Azure, AWS, GCP)
- Python (mandatory), C++ (preferred)
- PyTorch / TensorFlow
- API-based AI integration
- Model lifecycle management
- CI/CD pipelines
- Data pipelines
Nice to have
- Automotive domain exposure (ADAS, cockpit, connectivity)
- Speech AI (ASR, TTS, conversational systems)
- Knowledge of:
- AUTOSAR / embedded systems
- Vehicle data platforms
Benefits
- 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