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 Required
- 5-7 years of AI/ML engineering experience
- Strong experience in deep learning, NLP, and computer vision
- LLM/SLM fine-tuning and optimization
- Exposure to VLM/VLA or multi-modal AI models
- Python (mandatory)
- PyTorch or TensorFlow
- Experience deploying models on embedded/edge platforms (CPU, NPU, GPU)
- Experience deploying models in cloud environments (Azure, AWS, GCP)
- Hands-on experience with AI agents and orchestration frameworks (e.g., LangChain, Langgraph, Autogent, Semantic Kernel)
- MLOps, model lifecycle management, CI/CD pipelines, and monitoring
- Experience integrating ASR, TTS, NLU and multi-modal perception into systems
- Experience with embedded systems and end-to-end in-vehicle AI integration
- C++ (preferred)
- Automotive domain exposure (ADAS, cockpit, connectivity)
- Speech AI (ASR, TTS, conversational systems)
- AUTOSAR / embedded automotive systems knowledge
- Experience with simulation environments, digital twin, or validation platforms
- Experience optimizing inference on edge using C++ APIs or NNAPI
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.
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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.
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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.
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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.
Harman Insights
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!
