MTS, SW MIPI (AI2468)

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: MTS, SW MIPI

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

Job ID: AI2468

Responsibilities:

• Architect and implement high-performance Linux kernel device drivers for image sensors and SerDes architectures (Maxim/Analog Devices GMSL2 and/or TI FPD-Link).
• Provide Linux device tree overlay configurations for the camera systems.
• Bring up multi-camera systems over MIPI CSI-2 interfaces, ensuring reliable high-bandwidth data transmission.
• Integrate drivers into the V4L2 (Video4Linux2) subsystem and Media Controller framework and make available to customers in SiMa's Board Support Package (BSP)
• Work with third party camera module vendors to bring up and troubleshoot new camera modules

Key Requirements:

• BS/MS in Computer Science or Electrical Engineering with 10+ years of software engineering experience with 5+ years dedicated to embedded Linux and camera subsystems.
• Kernel Proficiency: Deep expertise in C programming and Linux Kernel Driver development (specifically V4L2, subdevices, and media-ctl). Experience with libcamera a plus.
• Protocol Knowledge: Strong understanding of the MIPI CSI-2 physical layer and GMSL2 and/or FPD-link serialization protocols.
• ISP Expertise: Hands-on experience controlling hardware Image Signal Processors (ISP), including pipeline configuration for HDR, de-bayering, and noise reduction.
• 3A Control: Proven track record implementing or integrating Autoexposure/Auto White Balance ( AE/AWB) control loops.
• Hardware Familiarity: Experience bringing up sensors on SoCs such as NVIDIA Jetson, NXP i.MX, Qualcomm Snapdragon, or TI TDA.

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.