Advanced Engineer-AI/ML
Summary
Develops and deploys AI/ML systems including Small Language Models and multi-modal VLM/VLA models for automotive cockpit, ADAS, and connected vehicle experiences. Builds edge + cloud AI pipelines, agentic AI orchestration layers, and MLOps workflows using Python, C++, PyTorch, TensorFlow, and frameworks like LangChain.
HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.
A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.
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
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.