CTO - AI & Hardware

CTO - AI & Hardware

The Thinkschool

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About the role

CTO - AI & Hardware

360 Technology

Bengaluru | Hybrid | Experience: open, roughly 1-2 to 6-7 years | CTC: INR 15-60 LPA

360 Technology is establishing an AI lab. We are looking for an ambitious, hands-on technology leader who enjoys making AI work with physical devices. You will turn early ideas into working hardware-and-AI prototypes and own the system architecture from model to device.

What you will do

• Design and build experiments that combine AI with devices, sensors or embedded systems. Move quickly from an idea to a testable physical prototype.
• Own the full pipeline: device inputs, data collection, model selection, training or fine-tuning, inference and the resulting software or device response.
• Integrate firmware, sensors and connectivity over I2C, SPI, UART, CAN, MQTT and BLE. Work with hardware specialists when board-level design or fabrication is needed.
• Choose where inference runs: on-device, at the edge or in the cloud. Optimise with quantization, ONNX, TensorRT or TFLite, and measure accuracy, latency, memory, power and cost.
• Debug across hardware and software. Test real-world conditions, connectivity failures and safe fallback behaviour.
• Build repeatable deployment, device monitoring and OTA update processes. Protect device access and data, and document the build so others can reproduce it.
• Set the technical direction, guide other builders and explain practical trade-offs to non-technical stakeholders.

What we are looking for

• Evidence of a working AI-plus-hardware project that you built, tested and debugged yourself. Strong system architecture and problem-solving skills.
• Strong C/C++ and Python; embedded Linux and/or an RTOS such as FreeRTOS or Zephyr; comfort with Raspberry Pi, ESP32, STM32 or NVIDIA Jetson platforms.
• Experience deploying models outside a notebook with PyTorch, ONNX, TensorRT or TFLite, including quantization and the limits of real devices. OpenCV or audio pipelines are a plus.
• Hands-on sensor, peripheral and bus integration. Ability to read datasheets, use oscilloscopes or logic analysers, and diagnose failures at hardware-software boundaries.
• Curiosity, ownership and the patience to tinker. Comfortable with imperfect prototypes, fast experiments and learning unfamiliar tools.
• Computer vision, audio AI, robotics, IoT or camera systems. These are examples, not a requirement to know every platform.
• A short demo, repository or build log showing a physical prototype. Be ready to explain the hardware, model, your contribution, what failed and what you measured.

Must-have skills

AIhardwareC++

Good-to-have skills

OpenCVaudio AIcomputer vision

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The Thinkschool hiring for CTO - AI & Hardware