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 3-5 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

• AI/ML Model Development, Domain Specific Finetuning & Deployment Develop and optimize SLMs 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

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

Agentic AI & Orchestration

• Hands-on experience with: AI agents / tool-using LLMs
• Orchestration frameworks (LangChain, Langgraph/Autogent/Semantic Kernel, custom pipelines)
• MCP Servers

Edge + Cloud AI

• Experience deploying models on: Embedded / edge platforms
• Cloud environments (Azure, AWS, GCP)

Programming & Frameworks

• Python (mandatory), C++ (preferred)
• PyTorch / TensorFlow
• API-based AI integration

MLOps & Data

• Experience with: Model lifecycle management
• CI/CD pipelines
• Data pipelines