Computer Vision Engineer

HL Klemove; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

HL Klemove in Bengaluru, India, seeks an experienced ADAS software engineer to design and optimize multicamera surround view systems. You will work on CV algorithms, image processing, and rendering to deliver high-performance results on embedded hardware.

You will integrate software with Renesas, TI, or NVIDIA platforms, flash on ECUs, and test across CAN/I2C/SPI, Linux and RTOS environments, collaborating with hardware and software teams to ensure robust system-level validation.

Qualifications

• Geometric computer vision with a strong maths foundation (3D geometry, linear algebra).
• Expertise in OpenCV and image stitching, fisheye modelling, photometric alignment.
• Proficiency in Embedded C/C++ for high-performance ADAS software on multicore CPUs/SoCs.
• Hands-on experience with camera drivers, CAN/I2C/SPI, and software flashing/testing on HW.

Responsibilities

• Design, implement, and optimize computer vision algorithms for multicamera surround view systems.
• Develop embedded software for ADAS ECUs and integrate with vehicle signals.
• Perform integration, rigorous unit/integration/hardware testing including CAN-based setups.
• Collaborate with software/hardware engineers to define requirements and debug at system level.

Skills

Computer vision

C/C++

Embedded systems

Image processing

Rendering

Linux

OpenCV

CAN/I2C/SPI

ADAS software

Code optimization

Tools

Renesas

TI

NVIDIA

OpenGL

OpenGL ES

Vulkan

Embedded C

Job description

Main Responsibilities Candidates will be performing

Algorithm Development: Design, implement, and optimize computer vision algorithms for multicamera

surround view monitoring(SVM) systems, the SW includes image enhancement,

transformation and stitching techniques, camera calibration and output rendering.

• Embedded Dev.: Design and develop embedded software for ADAS applications. Implement and

optimize software for automotive ECUs. Integrate the SW with vehicle signals, flash it on hardware.

• Integration & Testing: Integrate software modules with camera drivers and vehicle communication

networks. Conduct rigorous unit, integration, simulation and hardware testing. CAN based hardware

testing, bench top and in vehicle testing and validation is in scope.

• Collaboration: Work cross-functionally with software developers and hardware engineers, system

architects, and application teams to define requirements and troubleshoot complex system-level

issues. Manage SW repositories.

Mandatory Skills Required (specify keywords)

Note: Profile sourcing and screening will be done based on these keywords

• Keywords: Computer vision, C/C++, Embedded systems, Image processing, Rendering, Renesas, TI,

Linux, ADAS software developer, code optimization, hardware flashing and testing.

• Programming Languages: Intermediate to advance-level proficiency in C and Modern C++ (C++11 or

later) for high-performance application development.

• Platform expertise: Should have worked on ADAS SoCs like, Renesas, TI, NVIDIA, etc. Strong

programming skills in Embedded C/C++. Experience with CAN/I2C/SPI protocols. Should be able to

do SW flashing and testing on HW.

• Computer Vision: Expertise in geometric computer vision, backed by a strong mathematical

foundation in 3D geometry and linear algebra, including fisheye lens modelling, image stitching,

photometric alignment, and conventional feature detection/tracking algorithms. Hands-on

experience or exposure with OpenCV library.

• Graphics & Rendering: Good experience with utilizing graphics APIs (such as OpenGL, OpenGL ES,

or Vulkan) specifically for 3D bowl rendering and dynamic surround-view generation.

• Embedded Systems: Familiarity with embedded operating systems (Linux, QNX, or RTOS) and

understanding of memory management and multi-threading in resource constrained environments.