Hiring.Camp

Advanced Engineer-AI/ML

Harman

·

Jul 16, 2026

Location
In_Bangalore_ Kalyani Platina_HII, India
Workplace
Hybrid
Department
Engineering
Experience
5+ years
Source
Workday

Description

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 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

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.

Skills

PythonAWSAzureGCPCI/CDDeep LearningNLPComputer VisionTensorFlowPyTorchData EngineeringCybersecurityAgileCompliance

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