Linux Embedded Computer Vision Developer - Mid Level

About SRM Tech

SRM Tech is a global IT services company specializing in automotive technologies, digital transformation, product engineering, and supply chain optimization. We empower businesses across North America, Japan, Europe, and India with cutting-edge solutions in technology consulting, platform development, data analytics, AI/ML, cloud and infrastructure, embedded software, and end-to-end product design to manufacturing.

As a Great Place to Work-certified company, we are committed to fostering an environment where our employees can learn, grow, and thrive. We believe that when our people are empowered and valued, they drive innovation, take care of our customers, and contribute to our shared success.

At SRM Tech, every contribution matters, and we are always looking for the right talent to join us on this journey!

Job Description

Embedded Computer vision

 

ADAS and Computer vision algorithm porting experience with software development using C/C++ on embedded platforms (e.g. ARM, DSP and GPU)

 

1.Hands on experience on hardware platforms

• TI (Texas Instruments TDA4, TDA3x, TDA2X)/ Renesas/ NXP/ Intel/Qualcomm equivalent

2. OPenVX, OpenCL, OPen GL programming in ARM, DSP, GPU for Computer vision algorithms, Rendering

3.Advance knowledge of C/C++ in Embedded LINUX, OpenCV, SYSBIOS, FreeRTOS, Experience TDA4xx SoC family and

 In-depth understanding of video concepts. e.g. video encoding, image processing, transforms, color

spaces etc.

4. Should have a good, hands-on experience in developing and optimising DSP and Neural Networks

5. Applications in C and assembly language of a DSP, Vector processing and ARM SIMD NEON.

strong grasp of the issues software performance tuning.

6.Work experience in DSP firmware and optimized neural network

kernel implementations

7, Operating System - Linux/ QNX/ SYSBIOS/ Vxworks/ Integrity/ ROS, any other POSIX RTOS

8. Porting Algorithm experience in robotics, ultrasonics, RADAR, LIDAR, sensor fusion, computer vision in Embedded Platforms.

9.Developing and Optimising performance of Signal Processing firmware and neural network

kernels using C level changes using C intrinsic.

10.Hands on knowledge\experience on camera/computer vision pipeline, development, porting and optimization