Staff Applications Engineer, Camera ISP (AI2461)

Brief Description:

SiMa.ai™ is scaling Physical AI in Robotics, Automotive, Industrial, Aerospace and Defense, and Medical markets. We have created the industry's best purpose-built, software centric Physical AI HW/SW platform that leads the industry in Ease of use, performance, and power efficiency. SiMa.ai is led by technologists and business veterans backed by a set of top investors committed to helping customers bring ML on their platforms. SiMa.ai was founded in 2018, has raised $355M and is backed by Fidelity Management & Research Company, Maverick Capital, Point72, MSD Partners, VentureTech Alliance and more. For more information, visit https://sima.ai/.

Job Title: Staff Applications Engineer, Camera ISP

Job Location: Bangalore, India (This position requires a full-time, on-site presence in our Bangalore, India Office)

Job ID: AI2461

Position Summary:

We are seeking a highly skilled Staff Applications Engineer, Camera ISP with strong embedded Linux and BSP development experience to support our next-generation Edge AI SoC platform. Our SoC includes an integrated multi-camera MIPI CSI subsystem, designed for high-throughput vision and AI workloads.

In this role, you will work across the full camera pipeline—sensor bring-up, MIPI CSI integration, V4L2 driver development, media controller configuration, and ISP tuning—to deliver high-quality imaging performance optimized for real-time Edge AI applications. You will collaborate closely with hardware, platform software, imaging, and AI runtime teams to ensure stable, high-performance camera pipelines and production-ready image quality.

Key Responsibilities:

Multi-Camera MIPI CSI & ISP Integration:

• Bring up and integrate up to four external MIPI CSI-2 cameras on the Edge AI SoC platform.
• Work with V4L2, media controller frameworks, and camera sensor drivers to support simultaneous multi-camera streaming.
• Develop and debug camera drivers, sensor initialization sequences, and camera pipeline configurations.
• Perform ISP tuning for each camera module—including AE, AF, AWB, HDR tuning, color calibration, noise profiling, and image quality optimization.
• Collaborate with sensor vendors, ISP teams, and internal AI software teams to ensure stable and high-quality video pipelines for real-time AI workloads.

BSP Development & Platform Integration:

• Develop, maintain, and optimize the Linux BSP for the Sima's Physical AI SoC platform.
• Customize kernel configurations, bootloaders (e.g., U-Boot), and Debian-based root filesystem components for production deployments.
• Implement and maintain device drivers for SoC peripherals, AI accelerators, camera interfaces, and board-level components.

System Bring-Up & Debugging:

• Diagnose and resolve system-level issues involving kernel, drivers, camera interfaces, media pipelines, and performance bottlenecks.
• Conduct stability, latency, and throughput testing for multi-camera pipelines feeding AI inference engines.

Qualifications:

Required Qualifications:

• Bachelor's or master's degree in electrical engineering, Computer Engineering, Computer Science, or a related discipline.
• 7+ years of experience in embedded Linux or BSP development for ARM-based platforms.
• Hands-on experience bringing up MIPI CSI-2 cameras on embedded SoCs.
• Experience with the V4L2 framework and Linux media controller architecture.
• Proficiency in C and C++ for low-level platform development.
• Strong understanding of embedded hardware interfaces (I2C, SPI, I3C, UART, GPIO, CSI, etc.).
• Strong debugging skills using kernel logs, trace tools, oscilloscopes/logic analyzers (when needed), and system profiling utilities.

Preferred Qualifications:

• Experience integrating multi-camera pipelines (2–4 cameras) on ARM-based SoCs.
• Experience with ISP tuning workflows and vendor-specific ISP tools.
• Knowledge of GStreamer or other multimedia frameworks.
• Experience with CI/CD workflows for Linux kernel and BSP builds.
• Experience supporting AI/vision applications using multi-stream camera inputs.

Personal attributes

Can-do attitude. Strong team player. Curious, creative, and good at solving problems. Execution and results oriented. Self-driven, thinks big and is highly accountable. Good communication skills.