Advanced Engineer-AI/ML
Summary
Develop and deploy automotive AI systems—SLMs, VLM/VLA models, and AI orchestration layers—across edge and cloud environments for intelligent cockpit, ADAS, and connected vehicle experiences using Python, PyTorch, and orchestration frameworks.
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
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
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
What We Offer
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