Senior Embedded AI Engineer

FYT is building an AI-powered wearable at the intersection of health, wellness, and AI. Our hardware combines ultra-low-power embedded systems, computer vision, edge AI, and wireless connectivity to deliver an all-day wearable experience.

We're looking for a Senior Embedded AI Engineer to lead firmware and embedded AI development for our next-generation hardware platform.

You will own the embedded software stack that powers FYT's wearable, from sensor integration and AI inference to power management and production firmware. This is a hands-on engineering role for someone who enjoys building products from prototype through mass production.

• Architect and develop embedded firmware for wearable devices.
• Develop software for Nordic SoCs/MCUs (nRF52, nRF53, nRF54 family).
• Develop software for Himax edge AI vision SoCs (WE-I Plus, WiseEye series, HX65xx or similar).
• Optimize ultra-low-power operation for all-day battery life.
• Integrate camera modules, IMUs, microphones, and additional sensors.
• Deploy and optimize TinyML and computer vision models for edge inference.
• Optimize memory usage, boot time, latency, and inference performance.
• Implement BLE communication, OTA firmware updates, and secure boot.
• Build production-quality embedded software architecture.
• Debug hardware/software interactions using oscilloscopes, logic analyzers, and JTAG/SWD tools.
• Work closely with AI, hardware, mechanical, and mobile engineering teams.
• Support manufacturing, validation, and field testing.

• 5+ years of embedded firmware development experience.
• Strong C/C++ programming skills.
• Experience with Nordic Semiconductor SoCs and SDKs (nRF Connect SDK, Zephyr, SoftDevice).
• Experience developing on Himax AI vision platforms.
• Experience integrating cameras and embedded vision pipelines.
• Experience deploying neural networks on edge devices.
• Strong understanding of RTOS concepts (Zephyr, FreeRTOS, or similar).
• Experience with BLE.
• Experience with SPI, I2C, UART, GPIO, PWM, DMA, USB, and interrupts.
• Strong debugging and profiling skills.
• Experience optimizing battery-powered embedded systems.
• Experience using Git and modern development workflows.

• Experience with TensorFlow Lite Micro, ONNX Runtime, or similar embedded AI frameworks.
• Experience with image signal processing (ISP) and camera tuning.
• Experience with low-power computer vision systems.
• Experience with ESP32 or ARM Cortex-M platforms.
• Familiarity with secure firmware and encrypted OTA updates.
• Experience bringing products through EVT, DVT, PVT, and mass production.
• Experience working with contract manufacturers and hardware vendors.

• Wearable product experience.
• Computer vision or AI startup experience.
• Experience optimizing embedded ML performance under strict power and memory constraints.
• Experience with battery management systems and charging ICs.
• Familiarity with AWS, Google Cloud, or edge-to-cloud IoT architectures.

Within your first year, you will:

• Ship production firmware for FYT's wearable.
• Deliver reliable on-device AI inference under strict power budgets.
• Optimize battery life to meet product targets.
• Build a scalable firmware architecture that supports future hardware generations.
• Help bring up from prototype to production.

In-person, Islamabad. Strong preference for candidates who can collaborate with hardware teams during prototype development.

Competitive salary. Compensation will be based on experience and potential.