XenonStack’s Artificial Intelligence team is looking for an exceptional, motivated software engineer to implement an Edge computer vision system. This is an ambitious undertaking to create a new device category from the ground up and is replete with technical challenges. You will take an exciting and challenging role on a team and work with world-class engineers, business leaders, and other talented engineering teams while you architect and code for our computer vision platform for the edge.

You will be part of a passionate team whose mission is to push the frontier of computer vision and machine learning technology into the bright home application area. This is an excellent opportunity for you to innovate in this space by developing software at the edge and in the cloud and integrating them into consumer services to enable a premium customer experience.

You will implement a complex sensor network system/algorithm in computer vision and related disciplines in this role. You will translate business and functional requirements into working code. You will build large-scale infra to facilitate using a large amount of data to train and test computer vision systems.

Key Responsibilities

• Develop and test vision algorithms to control robots and advanced hardware systems created for human interaction environments

• Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots and other hardware devices

• Port, implement and optimize analytics and machine learning algorithms using special-purpose computing architectures.

• Propose and implement creative, efficient solutions for vision and control problems and expand our intellectual property portfolio.

• Perform technical performance benchmarking and analyses to support engineering decisions.

• Determine project specifications and project schedule by studying product requirements and specifications, calculating time requirements, and sequencing project elements.

• Assist in the installation and running of product demonstrations.

• Debugging with no additional support.

• Participate in design reviews.

• Documentations for design control.

Technical Requirements

• Strong in writing code in C/C++, on a Unix/Linux platform

• Knowledge of embedded devices.

• Knowledge in architecture, including familiarity with object-oriented patterns.

• Knowledge in investigating, designing, prototyping, and productizing new and innovative computer vision system solutions

• Knowledge in building and productizing Machine Learning models.

• Knowledge of working with deep learning frameworks like TensorFlow, PyTorch, MxNet, ONNX, and Caffe.

• Knowledge of GPU programming (CUDA or OpenCL) on GPU accelerator architectures.

• Knowledge of camera bring-up and ISP pipeline configuration.

Professional Attributes

• Excellent communication skills

• Attention to detail

• Analytical mind and Problem Solving Aptitude

• Strong Organizational skills

• Visual Thinking

Education: Technical Graduates (BCA, BSC, B.Tech), MCA, MSC, and M.Tech with strong data structure and algorithm Skills

Experience: 13 years

Computer Vision Engineer(Job Number: IND0310)

Our team is working on system and algorithm development of advanced driver assistance features and automated driving features for SAE Level 2 and above functionality.

This position includes proposal making, requirement analysis, design and development responsibilities of advanced driver assistance and automated driving functions.

The ideal candidate is self-motivated and has the willingness to dive right in.

• Advanced system engineering and algorithm design for use cases such as object recognition and localization
• Cooperate with Bosch business units worldwide for technology transfer and to evaluate market attractiveness of new concepts
• Build up proof-of-concept systems and demonstrators
• Test prototypes and demonstrators with users and partners from Bosch business units
• Collaborate with local research communities and participate in / lead joint projects
• Analyze technology and market trends and derive impacts on research strategy and identify key partners
• Develop new image processing concepts using machine learning in the computer vision for automotive domain

• M.E / M.Tech / MS in Electronics / E&C / Computer Science
• 3 to 6 years of experience & Strong knowledge in the research topic of computer vision, e.g. image processing and object recognition
• Experience in the field of machine learning / deep learning is a plus
• Passion for innovation, entrepreneurial spirit, good communication skills & fluent in English, team player, autonomous working style
• Should have motivation to build career in ADAS domain

Additional Information

Mandatory-

• Good programming knowledge and experience in C++ , python , Open CV etc
• Must be experienced in writing CV Algorithms
• Working experience in the areas of , Computer Vision, Image/Video Processing and algorithm development..
• Knowledge of concepts in Computer vision (Object detection, labelling etc.) and Sensor fusion.
• Proficient in tools for image processing and machine learning, eg. MATLAB (including toolboxes), openCV etc..
• Understanding of Image/Video handling and Databases.
• Good logical, analytical and data interpretation skills. Ability to solve challenging problems..
• Good communication (verbal and written) and presentation skills.
• Team player with good interpersonal skills and ability to work proactively and contribute to technical decisions.

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.

Inferigence Quotient LLP invites engineers with a passion for technology and thrill for cutting-edge research work. If you have that hunger to learn and contribute to the team, do get in touch at [email protected]

Robert Bosch Engineering and Business Solutions Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world’s leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions.
With over 20,000 associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Do you want to be part of the Computer Vision revolution, reforms and strategies? Whether it’s in the area of mobility solutions(autonomous driving, ADAS, infrastructure guided services, etc), consumer goods, industrial technologies or energy and building technology or others, with Bosch R&D, you will have the chance to improve quality of life all across the globe by working on cutting edge technologies. We are a world class R&D team responsible to bring new features & products to the market for most product portfolio of Bosch with diverse verticals (Autonomous Driving, Consumer Electronics, Building Technologies, etc. to name a few).

• Excellent programming & rapid prototyping skills in Python, C/C+(Optionally)
• Exposure to Data structures / Algorithms is a must
• Expertise on OpenCV, DLib
• Excellent knowledge on any/all of the given concepts in Computer Visionnamely Image Classification, Object Detection and Semantic Segmentation developed using state of the art deep learning algorithms.
• Hands on experience in developing efficient and real-time convolution neural network models.
• Hands on working experience with anyone of the deep learning frameworksTensorFlow, Caffe, Pytorch, Keras, MXNet, Theano
• Exposure to model compression and pruning in deep learning.
  Familiarity with GPU computing (CUDA, OpenCL) and HPC.
• Strong Problem Solving & Communication skills
• Highly Motivated, Creative and a Team player
• Experience/exposure to usage of Open Source technologies

• Experience/exposure to Product development methodologies & Software Engineering processes
• Experience of CV solution deployment on Edge (NVIDIA, etc) would be big plus

BE/MS/M.Tech (Electronics, Computer Science or related)

Additional Information

Selected candidate can work remotely during the pandemic times, however, he/she has to shift the base to Bangalore when normalcy returns.

Computer Vision Specialist

We need a person who believe in bringing out live objects from still images and make them speak.

Requirements

• Bachelor of Engineering in Computer Science, Information Systems/Technology or Mathematics from Tier-1 college.
• Experience in Computer Vision field. Strong expertise with OpenCV, MATLAB, Java, Python, C.
• Understanding of various Object/Face detection techniques using classification of pixels as face/skin/background.
• Knowledge of deep-learning would be a bonus.

XenonStack’s Artificial Intelligence Team is looking for an exceptional, motivated software engineer to implement an Edge computer vision system. This is an ambitious undertaking to create a new device category from the ground up and is replete with technical challenges. You will take an exciting and challenging role on a team and work with world-class engineers, business leaders, and other talented engineering teams while you architect and code for our computer vision platform for the edge.

You will be part of a passionate team whose mission is to push the frontier of computer vision and machine learning technology into the bright home application area. This is an excellent opportunity for you to innovate in this space by developing software at the edge and in the cloud and integrating them into consumer services to enable a premium customer experience.

You will implement a complex sensor network system/algorithm in computer vision and related disciplines in this role. You will translate business and functional requirements into working code. You will build large-scale infra to facilitate using a large amount of data to train and test computer vision systems.

Key Responsibilities

• Develop and test vision algorithms to control robots and advanced hardware systems created for human interaction environments

• Develop and evaluate state-of-the-art computer vision algorithms for real-time control of robots and other hardware devices

• Port, implement and optimize analytics and machine learning algorithms using special-purpose computing architectures.

• Propose and implement creative, efficient solutions for vision and control problems and expand our intellectual property portfolio.

• Perform technical performance benchmarking and analyses to support engineering decisions.

• Determine project specifications and project schedule by studying product requirements and specifications, calculating time requirements, and sequencing project elements.

• Assist in the installation and running of product demonstrations.

• Debugging with no additional support.

• Participate in design reviews.

• Documentations for design control.

Technical Requirements

• Strong in writing code in C/C++, on a Unix/Linux platform

• Knowledge of embedded devices.

• Knowledge in architecture, including familiarity with object-oriented patterns.

• Knowledge in investigating, designing, prototyping, and productizing new and innovative computer vision system solutions

• Knowledge in building and productizing Machine Learning models.

• Knowledge of working with deep learning frameworks like TensorFlow, PyTorch, MxNet, ONNX, and Caffe.

• Knowledge of GPU programming (CUDA or OpenCL) on GPU accelerator architectures.

• Knowledge of camera bring-up and ISP pipeline configuration.

Professional Attributes

• Excellent communication skills

• Attention to detail

• Analytical mind and Problem Solving Aptitude

• Strong Organizational skills

• Visual Thinking

Education: Technical Graduates (BCA, BSC, B.Tech), MCA, MSC, and M.Tech with strong data structure and algorithm Skills

Experience: 01 Years