Advanced Engineer-AI/ML

Job Summary

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
• Exposure to VLM/VLA or multi-modal AI models