- 5+ yrs exp. in Camera Stack (HW/SW) for Robotics, Computer Vision, Automation
- Engineers with experience in Tegra Platform, Camera Drivers and Synchronisation

About Our Client

Our client is a pioneering AI and robotics company focused on building general-purpose robotic intelligence. Leveraging large-scale, data-driven machine learning, they are developing adaptive robotic systems capable of operating reliably in dynamic and previously unseen environments.

Job Description

Reporting into the engineering leadership team, the candidate will take end-to-end ownership of the camera stack comprising of multiple camera systems, ISP Pipelines and discover new platforms for general purpose automation.

Key Responsibilities Include

- Owning the complete camera lifecycle, including camera selection, integration, enablement, calibration, validation, maintenance, and production readiness.
- Partnering with camera vendors and hardware suppliers to define requirements covering sensors, optics, synchronization, latency, image quality, thermal performance, mechanical constraints, and calibration standards.
- Developing and maintaining low-level camera software, sensor configuration, camera drivers, device tree modifications, camera control interfaces, metadata management, and timestamp handling.
- Driving camera bring-up activities and debugging issues across hardware and software layers, including MIPI CSI-2, GMSL, FPD-Link, power sequencing, I2C communication, frame corruption, ISP behaviour, and bandwidth limitations.




- Collaborating closely with robotics, perception, embedded software, electrical engineering, and external partners to develop a production-ready camera ecosystem.

The Successful Applicant

- Education: Computer Science, Robotics, Computer Engineering, Electrical Engineering, or a related discipline.
- 5+ years of experience with embedded camera systems, driver development, and hardware validation.
- Understanding of camera hardware interfaces and modifying camera drivers
- Solid knowledge of real-time vision systems, including synchronization, latency optimisation, buffering strategies, scheduling, and dropped-frame analysis.
- Experience with multi-camera systems, hardware triggering, PTP, PPS, camera-IMU synchronization, or related precision timing mechanisms.
- Strong debugging and troubleshooting skills using logs, kernel tracing, profiling tools, oscilloscopes, logic analysers, and validation frameworks.
- Experience with NVIDIA Tegra platforms and camera integration

This is new team being established and hence foundational understanding is paramount to the role

What's On Offer

- Opportunity to work on industry-defining robotics and AI technologies.
- Ownership of mission-critical camera systems that directly impact real-world robotic intelligence.
- Competitive compensation package and the opportunity to contribute to technology that will shape the future of intelligent machines.

Contact

Quote job ref: JN-072026-7072827

📌 Head- Camera Systems | New-Age Series C Robotics Org (Bengaluru)
🏢 Michael Page
📍 Bengaluru