SiMa.ai

Staff Applications Engineer, Camera ISP (AI2461)

SiMa.ai  •  Bengaluru, IN (Onsite)  •  5 months ago
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Job Description

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     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.    
SiMa.ai

About SiMa.ai

SiMa.ai™ is all about scaling Physical AI!

We are passionate about scaling Physical AI across robotics, automotive, industrial automation, aerospace & defense, smart vision, and healthcare. We are shipping the industry's best, purpose-built, software centric Physical AI HW/SW platform that is best in class in ease of use, performance, and power efficiency. SiMa.ai is led by technologists and business veterans and backed by a set of top investors committed to scaling Physical AI.

Industry
IT & Software
Company Size
201-500 employees
Headquarters
San Jose, California
Year Founded
2018
Website
sima.ai
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