Technical Lead

Job Description

Role Overview

We are seeking a highly skilled Technical Lead / Architect to drive the design, development, and delivery of next-generation AI-powered smart cockpit solutions for Automotive. This role will lead the technical vision and execution of an intelligent, context-aware in-vehicle experience that transforms the cockpit into a proactive, personalized companion for drivers and passengers.

You will work at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures while coordinating cross-functional teams to bring innovative cockpit experiences to production.

Key Responsibilities

• Define and own the end-to-end architecture for AI-driven smart cockpit systems across hardware, middleware, and application layers
• Lead design and implementation of AI/ML pipelines, model optimization, deployment, and lifecycle management
• Architect multi-model/LLM orchestration and on-device model adaptation (fine-tuning, distillation) for edge automotive deployment, including model selection, routing, and inference optimization on GPU/NPU SoCs
• Architect efficient edge AI execution, optimizing models for CPU/GPU/NPU (quantization, pruning, latency, power)
• Design hybrid edge–cloud architectures for personalization, continuous learning, and scalable feature delivery
• Integrate multimodal AI capabilities (voice, vision, sensor fusion) with real-time and safety-critical constraints
• Establish robust data pipelines, telemetry, and feedback loops, enabling continuous model validation, performance monitoring, and iterative improvement of AI capabilities in production
• Define the AI evaluation and observability framework, including model quality testing, regression checks, and production monitoring tied to release readiness
• Drive technical program execution across architecture, AI, and integration workstreams — including planning, dependencies, risk management, milestone tracking, cross-functional coordination, and stakeholder communication — to ensure on-time, high-quality production readiness

Qualifications

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field with 5+ years of experience in AI/ML-driven system development.
• Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience deploying models on edge, embedded, or automotive platforms.
• Experience integrating AI and Generative AI/LLM-based capabilities into real-time, resource-constrained environments.
• Strong knowledge of edge AI optimization techniques (quantization, pruning, distillation) and proficiency in Python and C++, along with experience in embedded AI lifecycle management, including OTA updates and fleet telemetry.