Camera Systems Software Engineer
Simbe Robotics
Software Engineering
South San Francisco, CA, USA
Posted on Mar 28, 2025
The Camera Systems Firmware Engineer will be responsible for developing, optimizing, and maintaining camera drivers and embedded software for Nvidia Jetson-based robotic vision systems. This role requires deep expertise in MIPI CSI camera integration, Nvidia Argus APIs, and image processing pipeline optimization, leveraging hardware acceleration for real-time robotic perception. Collaboration with hardware, perception, and robotics teams will be essential to ensure high-performance and low-latency vision processing in autonomous systems.
Responsibilities
- Develop and maintain camera drivers and middleware for Nvidia Jetson platforms (TX2, Xavier, Orin), ensuring high-throughput, low-latency image acquisition.
- Integrate and optimize MIPI CSI camera interfaces, managing sensor communication, initialization, tuning, and Image Signal Processing (ISP) pipelines.
- Implement and optimize camera pipelines using Nvidia Argus APIs, leveraging both legacy and modern versions for sensor integration and processing.
- Enhance the image processing pipeline by utilizing hardware acceleration (CUDA, TensorRT, or Jetson ISP hardware) for real-time performance improvements.
- Develop real-time post-processing algorithms, handling sensor fusion, exposure correction, noise reduction, and multi-camera synchronization.
- Optimize memory and data handling strategies to process high-bandwidth video streams efficiently on embedded systems.
- Debug and optimize production-grade C++ firmware, applying multi-threading, system profiling, and performance tuning techniques.
- Work with edge AI processing, integrating perception models with GPU acceleration or specialized hardware for intelligent vision on-device.
- Collaborate with hardware engineers to bring up new imaging hardware, debug MIPI CSI interfaces, and fine-tune ISP configurations for various lighting conditions.
- Ensure reliability and robustness through rigorous testing, validation frameworks, and fail-safe mechanisms for camera firmware.
Qualifications
- Extensive experience in developing and shipping optimized, production-grade C++ software for embedded systems.
- Strong expertise in camera driver development and sensor integration on Nvidia Jetson platforms (TX2, Xavier, Orin).
- Hands-on experience with MIPI CSI camera interfaces, including low-level sensor initialization, ISP tuning, and frame processing.
- Deep knowledge of Nvidia Argus libraries, including both legacy and modern implementations, for camera sensor integration and processing.
- Understanding of image signal processing (ISP), exposure control, HDR imaging, sensor calibration, and tuning.
Preferred Qualifications
- Experience with Nvidia CUDA, TensorRT, or other hardware acceleration frameworks for high-performance vision processing.
- Familiarity with distributed systems or remote services, particularly in multi-sensor or networked robotic applications.
- Knowledge of optical systems and camera hardware, including lens distortion correction, image tuning, and calibration.
- Experience integrating camera systems into SLAM, multi-sensor fusion, or AI-based perception pipelines.
Simbe Values: R. E. T. A. I. L.
Result Driven - We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors.
Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally.
Transparent - We highly value open communication internally, and with our partners and customers. We are receptive to feedback.
Agile - We are agile and always eager to learn. We quickly adapt to changes and customer needs.
Innovative - We are bold and innovative, with an intense focus on product design and user experience.
Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.