Open Positions
Senior deep learning researcher
SightX, a deep-tech startup backed by well-known strategic partners is looking for talented professionals who are drawn to solving research and development challenges and are innovative by heart and mind.
Our goal is to Research, Harness, and Deploy complex deep learning modules over edge devices for extreme computer vision challenges.
SightX Core-team is looking for an experienced computer-vision deep learning researcher to join its fearless R&D team alongside some of the best researchers in the field. The research team is in charge of creating cutting edge deep learning solutions aimed for deployment on a variety of edge devices and autonomous platforms deployed in the wild made to solve real-life challenges under the meaningful mission of lifesaving.
Apply by sending your CV to lior@sightx.ai
Responsibilities:
- Research, design, develop, and implement state-of-the-art machine learning and deep learning solutions for a wide variety of computer vision challenges, including edge solutions over low-voltage chips.
- Work with a multi-disciplinary team of professional researchers and engineers on analysis of deep learning models, map algorithmic bottleneck, and reduce overall model footprint and inference time.
- Research and implement innovative methodologies for the optimization of neural networks, such as: pruning, quantization, compression, neural architecture search, computation optimization.
- Produce optimized solutions that meet high quality, stability, and performance standards.
Requirements:
- Ph.D. (preferred) or M.Sc. in computer science / electrical engineering / Physics / Applied Mathematics, preferably in the field of deep learning and computer vision.
- At least four years of experience related to the following computer vision tasks: object detection, semantic/Instance segmentation, automatic hyper-parameter optimization, and object tracking.
- Proven experience in one of the popular DL frameworks such as PyTorch or TensorFlow.
- Proficiency in Python.
- Strong self-learning and research capabilities – Analyzing models, research possible optimization methods, and developing creative and innovative optimization schemes.
- Team player with strong communication and collaboration skills.
Advantages:
- Experience in implementation of computer vision and deep learning models for edge devices.
- Experience in low-voltage chipsets.
- Leadership experience.
- Experience in optimization methods of deep learning models for edge devices.
Senior Software Engineer
SightX, a deep-tech startup backed by well-known strategic partners is looking for talented professionals who are drawn to solving research and development challenges and are innovative by heart and mind.
Our goal is to Research, Harness, and Deploy complex deep learning modules over edge devices for extreme computer vision challenges.
We are looking for an experienced C++ developer to join our fearless R&D team. As a senior software engineer, you will take part in the development and implementation of cutting edge, highly optimized computer vision, and image processing algorithms on edge devices, made to solve real-life in-the-wild challenges under the meaningful mission of lifesaving.
Apply by sending your CV to lior@sightx.ai
Responsibilities:
- Develop and manage infrastructure for embedded devices and code optimization.
- Code over various software layers and architectures such as DSP/CPU/GPU/TPU
- Developing efficient image processing blocks for various deep learning models and hardware architectures
- Perform code run time and memory footprint profiling and optimizations on various platforms.
- Work closely with the research team to deploy deep learning models on edge devices.
Qualifications:
- BSc or MSc in Computer Science, Electrical Engineering or relevant field.
- At least three years of experience in C++ development.
- Proven track record of finding bottlenecks and delivering optimized, high-quality code.
- Experience in designing, implementing, and optimizing image processing algorithms on GPU / TPU platforms.
- Familiarity with Linux software development environment.
- Familiarity with deep learning SDKs, such as OpenVINO, SNPE, TensorRT.
- Software engineer with strong capabilities coding in C++ (11 and/or above).
- Strong capabilities performing and taking ownership of the complete workflow of tasks: from planning, through coding, till testing on the edge device.
Advantage:
- Experience in C++ 14 or above.
- Experience in DSP programming and signal processing.
- Experience in optimization and deployment of computer vision algorithms on edge devices.
- Experience in developing image processing algorithms on GPU platforms, using CUDA / OpenCL.
- Worked in a company that implemented deep learning models on edge devices.
- Experience in implementing deep learning models on edge devices.
- Experience working with ROS framework.
- Familiarity with deep learning frameworks such as TensorFlow, Pytorch, Keras.
DevOps engineer
SightX, a deep-tech startup backed by well-known strategic partners is looking for talented professionals who are drawn to solving research and development challenges and are innovative by heart and mind.
Our goal is to Research, Harness, and Deploy complex deep learning modules over edge devices for extreme computer vision challenges.
As a DevOps engineer at Sightx, you will be part of team whom define the standards of running ML/DL applications on any kind of edge devices based containers, you will be part of the team that define the ML/DLOps methods in cloud and on premise and you will:
- Take part in our edge devices containerized solution.
- Help us maintain and improve our production environment on all aspects of security, reliability, scalability, and elasticity.
- Run POC’s for evaluating new technologies that can take us forward.
- Develop our CI/CD pipeline to increase velocity within our R&D.
- Manage & maintain cloud environments based on AWS with various automation tools.
Apply by sending your CV to lior@sightx.ai
Qualifications:
- 3+ years of experience within the DevOps field
- Deep knowledge of AWS cloud and the different services
- Developed and maintained CI/CD pipelines around Jenkins or equivalent solution.
- Programming skills with python \ Bash
- Excellent knowledge of Linux operating systems
Advantages:
- Experience in deployment on edge devices.
- Knowledge in building containers in edge devices such as Nvidia NX/AGX, Snapdragon, ambarella etc.
- Building edge device OS, BuildRoot or Yocto
- Experience in security and hardening of edge devices.
- Hands-on experience with containers and Kubernetes
- Hands-on experience with automation tools like terraforms and ansible.
Program Manager
SightX, a deep-tech startup backed by well-known strategic partners, is looking for talented professionals who are drawn to solving research and development challenges and are innovative by heart and mind.
Our goal is to Research, Harness, and Deploy complex deep learning modules over edge devices for extreme computer vision challenges.
We are looking for a Program Manager to join our Programs & Products team. You will lead cutting-edge R&D programs in the field of highly optimized computer vision and image processing algorithms on edge devices.
As a program manager, you will be a significant contributor to the success story of SightX, and you will be able to influence the SightX product line roadmap. You will probably lead the most significant AI programs in the industry today.
Apply by sending your CV to lior@sightx.ai
Responsibilities:
- Responsibility for the entire project life cycle
- Build and manage project Budget.
- Build and execute project work plan.
- Build solid and lasting customer relationships.
- Manage customer expectations.
- Lead the R&D team to meet the goals and milestones.
- Manage Customer success
Qualifications:
- BSc Computer Science, Electrical Engineering, Physics or relevant field.
- Experience of 2-5 years in Program/Project/Product management.
- Proven track record in managing R&D-oriented software programs.
- High EQ and Customer facing experience.
- Team Player.
- Open-minded and Agile thinking.
Advantages:
- Experience with Deep learning R&D projects, preferably with Computer vision.
- Experience in the Defense & Aerospace industry.
- Experience in working with edge devices (SWaP sensitive).
- Familiarity with Linux software development environment.
- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, Keras.