דרושים » ניהול ביניים » Computer Vision software engineer

MSD Animal Health Technology Labs specializes in the development of animal health management solutions. We are a multidisciplinary product company, a diverse team of ~450 closely collaborating scientists, AI experts, software, hardware, and mechanical engineers… working alongside veterinarians and other animal experts. Our passion? Shaping the future of animal health and well-being (for much better!). Our products and platforms identify trends and predict the likelihood of health outcomes for HUNDREDS of MILLIONS of animals each year, from pets, to poultry, farm animals, and even fish. We provide actionable insights for veterinarians, farmers, and producers, changing the way people care for animals in 150 markets. So, if you’re looking to work in a company that combines pioneering science and technology, dedicated colleagues, and animals, you’ll find it all here – come join us! We are looking for a talented hands-on manager for our Computer Vision team. The successful candidate will be responsible for leading a team of computer vision engineers and researchers in developing and implementing computer vision algorithms and technologies, with a specific focus on using computer vision for monitoring animals. This role requires strong technical expertise, excellent leadership skills, and a deep understanding of computer vision principles and techniques, particularly in the context of animal monitoring and edge devices. The candidate will also work closely with animal experts to ensure the development of effective and robust solutions. Responsibilities:
* Lead and manage a team of computer vision engineers and researchers, providing guidance, mentorship, and support.
* Develop and implement computer vision algorithms for animal monitoring applications, such as tracking and behavior analysis, specifically optimized for edge devices.
* Collaborate with cross-functional teams, including animal experts, software developers, Devops engineers, and product managers to understand project requirements and develop innovative solutions that address specific animal monitoring challenges, taking all constraints into consideration.
* Design and optimize computer vision systems for animal monitoring on edge devices, considering factors such as limited computational resources, power consumption, and real-time processing requirements.
* Stay up to date with the latest advancements in computer vision and edge computing, and explore opportunities for incorporating them into our projects.
* Lead the planning and execution of computer vision projects for animal monitoring on edge devices, ensuring adherence to timelines, budgets, and quality standards.
* Foster a collaborative and innovative work environment, encouraging knowledge sharing and continuous learning within the team.
* Provide technical guidance and support to team members, assisting in problem-solving and troubleshooting as necessary.
* Give detailed presentations to stakeholders, showcasing the performance of developed algorithms.
* Collaborate closely with animal experts to understand their needs and requirements, ensuring the development of effective and ethical computer vision solutions for animal monitoring on edge devices.
* Manage work of contractors dedicated for ad-hoc POC projects.

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, including the EyeQ chip, company SuperVision, company Drive, and company Chauffeur, leverage computer vision and machine learning to enhance vehicle safety and enable self-driving capabilities. Integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.
In our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems.
What will your job look like:
Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problems
Evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
Collaborate with cross-functional teams to understand requirements and develop solutions
Optimize existing algorithms to improve performance and scalability.

We are leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software.

DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize our vision?

What you will be doing:

Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.

Design and implement new communication technologies to accelerate AI and HPC workloads.

Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.

Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.

Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs).

About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Build C/C++ firmware running on embedded processors with limited memory footprints on the SoCs.
Develop tools to update and debug the firmware, enable emulation, chip bringup, and hardware debugging.
Play key roles in emulation, chip bring up, and SoC deployment, and contribute to all layers of the data center software stack to deploy SoCs to production.

We are looking for excellent engineers who want to create, impact and collaborate with the best-in-class engineers. Be part of a growing team and contribute to its success. Innovate, solve problems and work as part of a team. Build network systems and services, taking products all the way from an idea to production. Join us as a Software Engineer to build the worlds fastest public cloud and make a difference to millions of people across the planet.
our companys mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
You will develop Windows/Linux drivers, services and applications.
You will be participating in multidisciplinary projects in our company, with our Hardware and OS partners.
You will collaborate with different partners in Azure Core team in Israel, US, India and Europe.
You will contribute to new feature design, implementation, testing and deployment at scale.

We are looking for a motivated Principal Software Engineer to join our site in Yokneam.
You will have the chance to develop your own skills in a flexible and energetic work atmosphere with friendly and experienced colleagues. You will have helpful supervision, opportunity to learn, modern tools and flexible work culture.
If you want to be a part of our growing company that is driven by innovation and is focused on building a future together with our employees, consider applying.
Principle duties and responsibilities
Architect, design and develop software for IP/MPLS routers, focusing on routing protocols (e.g., BGP, OSPF, IS-IS) and MPLS (RSVP-TE, LDP, SR-MPLS) functionality.
Design and code quality, scalable, high-performance solutions for embedded systems.
Collaborate with hardware, QA, and product teams to define requirements and validate system performance.
Mentor junior engineers, providing technical guidance and fostering best practices in software development.
Investigate and resolve complex system issues, optimizing for latency, throughput, and reliability.

About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will help to develop and maintain emulation infrastructure, tools, and workflow methodologies supporting our Application-specific integrated circuit (ASIC) projects. You will provide emulation infrastructure and methodologies for supporting these projects. You will work with other emulation team members as well as designers, verification engineers, and software teams. You will work with with our external vendors, lab support teams, networking and security, and Electronic Design Automation (EDA) tooling and methodology teams to deliver emulation based prototyping capabilities for our ASIC projects. You will also assist in compiling projects specifying our prototyping platforms, debugging issues in both infrastructure and design, assisting in the hardware and lab bring up, and verification of our ASIC systems.
The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our companyrs, Cloud customers and the billions of people who use our company services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Help in maintaining and upgrading emulation infrastructure and act as a primary interface to emulation vendors.
Explore emulation methodologies, gather feedback from the team, and implement emulation workflows and methodologies.
Create tooling and automation to support emulation Electronic Design Automation (EDA) tools, licensing, and job management in our company infrastructure.
Support emulation team members with debugging hardware, tooling, and project specific issues.
Help to bring up external interfaces (e.g., USB, PCIe, Ethernet, etc.) on the emulation platforms, and create standalone test cases for tool issues encountered in the emulation compile and runtime flows.

Required Distributed Computing Software Engineer
Hod Hasharon \ Haifa
Job Description:
Our team at the Huawei Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers. We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure and algorithms to HPC and AI/ML in distributed run environment.
We are looking for outstanding candidates with hands-on experience in software development. If you are a team player with excellent communication skills and motivation to investigate state-of-the-art directions and revolutionize application performance, youre welcome on board!
What will you be doing?
Envision, design and develop new features in all layers of the HPC / AI stack, from the application level, through the programming model (e.g. OpenMP, MPI) and down to the supporting libraries/middleware
Research, design and implement features for HPC / AI applications using parallel programming models (e.g. OpenMP, MPI), accelerators offloading and memory tiers.
Contribute to open-source scientific computing, networking and I/O libraries
Research, design and assist in developing hardware offloads for features relevant for scientific, deep learning, and data-intensive workloads.

Were seeking an outstanding Senior SW Engineer to join our team and help us develop advanced algorithms that will be executed on our hardware accelerator. This is a rare opportunity to influence the future of data processing.

Job Description:

Develop a tool that generates device code for performing database operations.

Develop in advanced Python.

Generated code is C++ style, tailored for our device.

Fly high with the SW, and dive in for a byte of the HW.

Collaborate with hardware engineers to optimize software and hardware integration for maximum performance.

Research state-of-the-art algorithms and techniques for data analytics and hardware acceleration.