Associate 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), VLM/VLA models, and AI orchestration layers across edge and cloud environments , enabling intelligent cockpit, ADAS, and connected vehicle experiences.

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

  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)

• 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

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.