AI Embedded Engineer

Namaskaram!

Ajna Lens is looking for an AI Embedded Engineer to join our product engineering team in Mumbai, India. This is a high-impact role for an experienced engineer who will help build next-generation smart AI glasses by combining embedded systems, edge AI, cloud AI, and wearable intelligence. The ideal candidate should have 4–5 years of experience in embedded software/firmware development with strong expertise in low-power systems, RTOS/Linux platforms, AI deployment, and real-time device optimization. This role demands strong ownership, cross-functional collaboration, and the ability to convert prototypes into production-ready wearable products.

Top 3 Daily Responsibilities:

● Own and develop the embedded AI software stack for smart glasses running on low-power hardware platforms.

● Integrate on-device AI models and cloud AI services to enable real-time intelligent wearable experiences.

● Drive system optimization across latency, battery life, thermal performance, memory usage, and reliability for production devices.

Minimum Work Experience Required:

● 4–5 years in embedded software / firmware development for wearables, IoT devices, robotics, consumer electronics, or similar domains.

● Hands-on experience delivering products from prototype stage to production deployment.

● Strong exposure to cross-functional collaboration with hardware, AI/ML, mobile app, and cloud teams.

Top 5 Skills You Should Possess:

● Strong programming expertise in C/C++ for embedded environments with real-time systems fundamentals.

● Hands-on experience with RTOS including tasks, IPC, interrupt handling, and timing constraints. ● Deep understanding of Embedded Linux, kernel customization, bootloaders, BSPs, and Yocto build systems.

● Experience deploying Edge AI models on constrained devices using optimization and runtime integration techniques.

● Strong debugging and optimization skills across firmware, Linux logs, hardware bring-up, and battery-operated systems.

Full-Stack & System Awareness:

● Strong understanding of embedded software, SoC platform layers, boot flow, drivers, and root filesystem architecture.

● Experience integrating camera, audio, IMU, PPG sensors, BLE/Wi-Fi, and power management subsystems.

● Familiarity with cloud AI APIs, data pipelines, fallback architecture, and model-serving workflows. ● Awareness of companion mobile app connectivity across Android/iOS ecosystems. Leadership & Strategic Capabilities:

● Ability to independently own modules and deliver end-to-end embedded features.

● Strong problem-solving mindset with production-focused engineering discipline.

● Ability to collaborate with cross-functional teams to accelerate product delivery.

● Strong documentation practices for design decisions, debugging workflows, and deployment processes.

Bonus Points For:

● Direct experience building AR glasses or head-worn wearable products.

● Experience with Qualcomm or equivalent wearable/mobile SoCs and BSP workflows.

● Knowledge of TensorFlow Lite, ONNX Runtime, or vendor AI SDKs.

● Experience with OTA firmware updates and AI model lifecycle management.

● Understanding of privacy/security for camera-enabled AI wearables.

What You'll Be Creating:

● Intelligent smart glasses powered by real-time on-device AI and cloud intelligence.

● Highly optimized embedded systems delivering long battery life and responsive performance.

● Production-grade firmware/software platforms for next-generation wearables.

● Advanced AR experiences using voice, gesture, camera intelligence, and contextual overlays.

● A scalable foundation for future AI wearable products built for millions of users.

Education

● B.E. / B.Tech / M.E. / M.Tech in Electronics, Embedded Systems, Computer Engineering, or related fields.

● Equivalent product experience with a strong delivery track record is highly valued.