Overview
Lead the development and deployment of automotive AI/ML systems, including small language models, multimodal models, and AI orchestration layers across edge and cloud environments.
What you'll do
- Develop and optimize small language models for in-vehicle conversational AI and reasoning.
- Deploy AI models on CPU, NPU, and GPU edge devices.
- Build AI orchestration layers for intent routing, tool routing, policy engines, and context management.
- Integrate voice, visual perception, and sensor-fusion systems across cockpit, ADAS, and connected services.
- Design ML pipelines and MLOps workflows for training, evaluation, deployment, and monitoring.
- Collaborate with embedded, cloud, data engineering, HMI, and system integration teams.
What you'll need
- Up to 8+ years of AI/ML experience.
- Strong experience in deep learning, NLP, and computer vision.
- Experience with LLM/SLM fine-tuning and optimization.
- Hands-on experience with AI agents, tool-using LLMs, and orchestration frameworks.
- Python is mandatory; C++ is preferred.
- Experience with PyTorch or TensorFlow, AI APIs, model lifecycle management, CI/CD, and data pipelines.
- Experience deploying models on embedded, edge, and cloud platforms.
Nice to have
- Automotive domain exposure in ADAS, cockpit, or connectivity.
- Experience with speech AI, AUTOSAR, embedded systems, vehicle data platforms, or simulation environments.
- Experience using C++ APIs or NNAPI for optimized edge inference.
Details
- Location: Bangalore, Karnataka, India.
- Hybrid work environment, with office-based roles onsite three days a week.
Read the full description and apply on the company’s own careers page.
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