Linux Embedded Computer Vision Developer
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 optimizing 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, ultrasonic, RADAR, LIDAR, sensor fusion, computer vision in Embedded
Platforms.
9.Developing and Optimizing performance of
Signal Processing firmware and neural network
kernels using C level changes using C
intrinsic.
10.Hands on knowledgeexperience on
camera/computer vision pipeline, development, porting and optimization