Senior Engineer, Video Codecs and AI

Company Overview

Ittiam Systems

Job Summary

• Candidate should have 2 to 4 years of experience in software development, preferably in the field of

imaging and video using conventional signal processing or AI/ML based deep-learning solutions.

• Should be proficient in software development in at least one of the following fields:

• Developing imaging or video algorithms / video codecs / video applications using C / C++

/ MATLAB for web servers / edge servers / hand-held client devices

OR

• Development and training of neural network-based imaging / video applications using

PyTorch / TensorFlow or other ML frameworks on GPU / TPU / NPU platforms.

• Good fundamental and theoretical knowledge in the above fields

• Software development practices and management skills with solid understanding of Git, Test Planning and Execution

• Good problem solving and debugging skills

• Good documentation skills

• Should be passionate in learning, adopting and developing new technologies in the field of AI/ML/Imaging/Video.

Responsibilities

Learn state-of-the-art imaging and video technologies as per product / customer requirements

• Development and implementation of video algorithms and solutions as an individual contributor

• Follow efficient process of software management, testing, documentation and delivery as per project milestones.

• Candidates may be expected to lead product development in a year or two with additional responsibilities:

• Mentoring a team of two or more young engineers

• Front-ending customer interactions based on need

• Building customer relationships and trust for new and existing products

• Based on relevance, may also be required to create new IP beyond product development through articles /

publications / tech talks / technical blogs / patents

Qualifications

Not specified

Preferred Skills

SSSE4.2 / AVX / AVX2 / AVX-512 SIMD optimizations for x86 / x64 CPU based architectures.

• NEON / SVE based SIMD optimizations for ARM based platforms is and

• Good knowledge of video codecs such as AVC (H.264) / HEVC (H.265) / VVC (H.266) / VP9 / AV1 is an added advantage.

• Exposure to optimizing video applications using multi-threading and parallel processing algorithms is an added advantage.

• Any experience in implementation of cache-optimized or memory access optimized solutions using novel data

structures and algorithms is an added advantage.

• Any exposure to optimized neural network inference implementations on low power GPU / NPU is an added advantage.

• Any IP published as patents / industry papers / publications is an added advantage.

Experience

Not specified

Environment

Not specified

Salary

Not specified

Growth Opportunities

Not specified

Benefits

Not specified