Computer Vision Lead Engineer
Role: Design, refinement and implementation of computer vision algorithms including end-to-end software engineering lifecycle execution.
Proven track record in computer vision is essential. Knowledge of linear and non-linear estimation, frequency-domain techniques, image and video compression, multimedia, high-performance computing, and software engineering practices is required. Strong programming skills are essential.
BE/BTech degree in related field along with industry experience of 3+ yrs, or ME/MTech in relevant field with 2+ yrs of industry experience.
Computer Visioneer
Role: Implementation and testing of computer vision algorithms
Proficiency in image processing, machine learning, data structures and algorithms, C and C++ programming languages is required.
BE/BTech degree in related field along with industry experience of 1+ yrs, or ME/MTech in relevant field with a good and reasonably-sized academic project in relevant field.
Embedded Systems Lead Engineer
Role: Embedded implementation of computer vision algorithms on target platforms.
Processing elements on the platforms include one or more of DSP, GPGPU, FPGA, and multicore CPU. I/O to include video, serial, discrete, Ethernet, and USB. Experience in video protocols, optimizing the code for target platform, maximally utilizing the platform’s resources and features is required. Experience in video processing on target hardware is highly desirable. Responsibility includes end-to-end workflow management.
BE/BTech/ME/MTech degree in related field along with industry experience of 3+ yrs
Embedded Systems Engineer
Role: Embedded implementation of software modules on target platforms.
BE/BTech/ME/MTech degree in related field along with industry experience of 1+ yrs