Location: Noida, Uttar Pradesh

Work Mode: On-site

Employment: Full-time

Experience: 5–10 years

Compensation: ₹24–30 LPA

Joining: Immediate

About the Company A fast-growing Physical AI and robotics startup is building hardware and data-collection infrastructure for next-generation AI systems.

The team works across embedded systems, robotics, computer vision and sensor-rich hardware to capture and process real-world data at scale.

About the Role The company is looking for a hands-on Embedded Engineer who can work across the hardware-software boundary.

You will own critical parts of the on-device architecture, board bring-up, camera pipelines, sensor firmware and system validation.

This is a highly hands-on role involving real hardware, high-bandwidth sensor data and embedded systems operating in real-world environments.

Key Responsibilities

- Own board bring-up and on-device architecture .
- Develop and optimize camera and vision pipelines .
- Work with V4L2 drivers and MIPI CSI-2 interfaces .
- Build reliable high-bandwidth video capture pipelines.
- Develop firmware for custom sensors and integrate them with main processors.
- Implement camera calibration and multi-camera synchronization .
- Work with hardware triggering to maintain stream synchronization.
- Debug hardware/software issues across I2C, firmware, drivers and hardware .
- Optimize memory, DMA and system-level performance.
- Diagnose issues involving bandwidth, dropped frames and thermal constraints.
- Develop testing and engineering tooling using Python.
- Validate embedded systems across hardware,



firmware and software layers.

Must-Have Requirements

- 5–10 years of relevant embedded systems experience.
- Strong C/C++ programming.
- Strong Embedded Linux experience.
- Hands-on board bring-up experience.
- Experience with V4L2 / Linux camera drivers .
- Robust understanding of MIPI CSI-2 .
- Experience working with cameras, sensors and vision pipelines.
- Experience with I2C and hardware-level debugging .
- Understanding of DMA, memory management and system performance.
- Ability to debug across both hardware and software.
- Comfortable working directly with development/custom boards.

Preferred Qualifications

- Linux kernel / driver development.
- Embedded Linux BSP experience.
- End-to-end camera stack experience.
- Sensor and ISP tuning.
- Multi-camera synchronization.
- Hardware triggering.
- NVIDIA Jetson Orin experience.
- Rockchip RK3588 experience.
- Robotics / computer vision / physical AI experience.
- Python for testing and engineering tooling.

Ideal Candidate Someone who is genuinely bilingual across hardware and software .

You should be comfortable tracing a problem from application software down through drivers, firmware, interfaces and physical hardware.

Candidates with only generic Embedded C, MCU firmware, AUTOSAR or application-level Linux experience without camera/board-level exposure may not be suitable .

What You'll Work On

Embedded Linux | Camera Systems | V4L2 | MIPI CSI-2 | Sensors | Board Bring-up | Multi-Camera Systems | Hardware Synchronization | Robotics | Physical AI

📌 Embedded Engineer | Physical AI & Robotics (Delhi)
🏢 TalixoHR
📍 Delhi