Advanced Engineer-AI/ML

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Consumer Web • Information Technology
The Role
Develop and deploy automotive AI/ML systems across edge and cloud environments, including small language models, VLM/VLA models, multimodal perception, agentic orchestration, and sensor-fusion pipelines. Build MLOps workflows for training, evaluation, deployment, and monitoring while integrating voice, vision, cockpit, ADAS, and connected-vehicle capabilities. Collaborate with embedded, cloud, data, HMI, and systems teams to deliver safe, secure, optimized automotive AI platforms.
Summary Generated by Built In
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.

Skills Required

  • Up to 3–5 years of professional experience
  • Strong experience with deep learning, natural language processing, and computer vision
  • Experience with LLM or SLM fine-tuning and optimization
  • Exposure to VLM, VLA, or multimodal AI models
  • Hands-on experience with AI agents or tool-using LLMs
  • Experience with AI orchestration frameworks or custom orchestration pipelines
  • Experience with MCP Servers
  • Experience deploying models on embedded or edge platforms
  • Experience deploying models in cloud environments such as Azure, AWS, or GCP
  • Python programming experience
  • Experience with PyTorch or TensorFlow
  • Experience with API-based AI integration
  • Experience with model lifecycle management
  • Experience with CI/CD pipelines and data pipelines
  • C++ programming experience
  • Automotive domain exposure, including ADAS, cockpit, or connectivity
  • Speech AI experience with ASR, TTS, or conversational systems
  • Knowledge of AUTOSAR, embedded systems, or vehicle data platforms
  • Experience with simulation, digital twin, or validation platforms
  • Experience optimizing AI inference on edge devices using NPU, CPU, or GPU capabilities
  • Experience using C++ APIs or NNAPI for edge-device inference optimization

Harman Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harman and has not been reviewed or approved by Harman.

  • Healthcare Strength Healthcare coverage is described as comprehensive, often including medical, dental, and vision plans, with HSAs/FSAs and disability or life insurance also referenced. Wellbeing support such as EAP access and onsite occupational health services is also part of the package in some regions.
  • Wellbeing & Lifestyle Benefits Lifestyle-oriented benefits include employee product discounts and region-specific perks like free fruit deliveries, Cycle to Work schemes, and meal coupons or allowances. Flexible schedules and work-from-home options are also part of the overall offering where roles and projects allow.
  • Fair & Transparent Compensation Pay is repeatedly characterized as solid or market-aligned for many roles, with salary payments described as consistent and on time. Compensation is also tied to performance in some accounts, reinforcing a perception of basic fairness for a portion of employees.

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The Company
HQ: Stamford, CT
22,291 Employees
Year Founded: 1980

What We Do

Headquartered in Stamford, Connecticut, HARMAN (harman.com) designs and engineers connected products and solutions for automakers, consumers, and enterprises worldwide, including connected car systems, audio and visual products, enterprise automation solutions; and services supporting the Internet of Things. With leading brands including AKG®, Harman Kardon®, Infinity®, JBL®, Lexicon®, Mark Levinson® and Revel®, HARMAN is admired by audiophiles, musicians and the entertainment venues where they perform around the world. More than 50 million automobiles on the road today are equipped with HARMAN audio and connected car systems. Our software services power billions of mobile devices and systems that are connected, integrated and secure across all platforms, from work and home to car and mobile. HARMAN has a workforce of approximately 30,000 people across the Americas, Europe, and Asia. In March 2017, HARMAN became a wholly-owned subsidiary of Samsung Electronics Co., Ltd. HARMAN is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. HARMAN offers a great work environment, challenging career opportunities, professional training and competitive compensation. Looking for a challenge where your experience is valued? Come see what you can achieve as a leader with HARMAN!

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