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Abra R&D is looking for a talented System Engineer! Are you ready to take your career to the next level? Abra R&D is seeking a dynamic and skilled System Engineer to join an exciting and impactful development project! As part of this position, you will be involved in system characterization, product engineering, process management, documentation, and working closely with our customers to deliver high-quality solutions. If you're passionate about innovation and looking for a challenging role where you can make a real difference, this is the perfect opportunity for you!

Required Machine Learning Systems Engineer
About this position
You will be responsible for defining the system solution for NN-based image signal processing algorithms.
In your role, you will be tasked with designing an ISP solution that leverages NN to replace classic ISP algorithms and taking the solution from the POC stage to production. You will scope the existing landscape of literature and select solutions which are appropriate for running on our embedded HW, perform proof-of-concept, define system KPIs, and finally carry the solution to product grade level and deployment on our Vision-Processor.
Responsibilities
Domain expert in the field of neural network image enhancement for video cameras.
Work with the product team to translate high-level product functions to system building blocks and drive R&D efforts to implement them.
Implement proof-of-concept projects, taking ideas from papers and public reports and showing product fit.
Technological leadership in a multi-disciplinary environment. You will be working with both external partners and internal technical leadership. You will be expected to understand the various disciplines in a detailed manner and to be both a technical and project focal point for all aspects of the project.

we are seeking a skilled Integration Engineer to lead the development and automation of complex business processes using Workato as the primary integration platform. In this role, you will leverage your extensive experience with integration technologies to design, build, deploy, maintain, and optimize robust, scalable integrations that streamline workflows and drive operational efficiency. This includes troubleshooting any problems related to the applications, working collaboratively with other team members, identifying improvements, and ensuring the functional and technical requirements are met.
Your day blends strategic planning and hands-on execution. Mornings may involve requirement analysis and Workato recipe design, while afternoons shift to troubleshooting, architecture discussions, and development, culminating in documentation and future planning.
The ideal candidate is highly versatile, and capable of seamlessly transitioning between high-level strategic design, hands-on development, and consultative problem-solving, as dictated by the specific use case and immediate priorities. Willingness to learn new technologies is a must.
Key responsibilities:
Workato Expertise: Design and implement complex integrations using Workato, including advanced recipe development, custom connectors, and API management.
API and Web Services Mastery: Proficiently work with a wide range of APIs (REST, SOAP, GraphQL) and web services, ensuring seamless data exchange and integration.
Solution Architecture: Analyze complex business requirements and design comprehensive integration solutions, leveraging Workato's capabilities to optimize performance and scalability.
Automation and Optimization: Identify and automate manual processes, driving significant improvements in operational efficiency and reducing errors.
Best Practices and Innovation: Research, document, and implement best practices for Workato development, promoting code reusability and maintainability.
Monitoring and Maintenance: Proactively monitor, optimize, and maintain end-to-end business processes, ensuring high availability and performance of integrations.
Troubleshooting and Performance Tuning: Identify and resolve complex integration issues, optimizing performance and ensuring data integrity within Workato.
Security: Maintain a strong awareness of data security and privacy regulations (GDPR, HIPAA, etc.) and implement secure integration practices, including data encryption and access controls, to protect sensitive information.

The Wireless Communication group is a rapidly growing, high energy, results-oriented team. The team is responsible for the system design integration of a Wireless IC solution. We are looking for a forward-thinking, motivated and hardworking System Engineer to be a part of our new product introduction process from prototype to mass production. If you are passionate about Wireless technologies, want to make an impact and have the desire to work on groundbreaking Wireless technologies, then we are looking for you.

As part of the Wireless team, you will be working on pre and post-silicon system development activities to achieve full operation and optimization of PHY/L1 modules such as AGC, advanced time-domain processing, channel estimation, demodulation, and decoding, in a highly complicated wireless communication device. We are looking for a highly reciprocal individual, who can excel in performing the development and integration of these modules in the system with comprehensive full-stack understanding and with the ability to analyze issues in lab and field which are related to L1, MAC, and RRC procedures with tight multi-functional work with RF, HW, FW, and SW teams.

looking for a motivated and creative Software System Engineer who will be part of the R&D group, and provide technical leadership and help Engineering build next-generation products to manage modern software releases.
This role will report directly to the VP R&D, and involves defining system architecture, dealing with Engineering-centric requirements, researching technical innovations, and engaging in POCs gauging technical risk. Candidates must have solid experience working on complex systems, as well as with software architecture and design process.

Responsibilities
Technical lead of multidisciplinary system development
Communicating business requirements, criteria and needs to software development teams
Researching and evaluating technical standards and tools for a project and determining which ones are the optimal choice
Assist in defining coding standards and guidelines for developers to follow.
Designing and revising a projects structure
Distributing development tasks to a team of software engineers
Writing sections of code as part of development in a project
System characterization, system documentation management and address system requirements
Architecture definition and requirements analysis and definition
Enhance operations by performing systems analysis; suggest modifications in procedures and policies
Provide architectural oversight and guidance to Engineering teams
Evaluate new technologies
Participate in senior technical job interviews as needed

As part of System Architecture group, we are looking for an experienced Web Architect to lead system and architecture for our Orchestrator DNOR.

As a Web Architect, you will be responsible for specifying high-performance, scalable web solutions. You will work closely with our development and product teams to ensure the architecture of web applications meets business requirements and performance goals.

Responsibilities:
Work closely with product, refining requirements and creating specifications along with development teams.
Perform spec reviews and provide guidance to team members in design reviews.
API design and integration.
Optimize web applications for performance and scalability.
Mentoring dev, review QA test plans.
Self-learning and innovation. Research and propose new technologies and approaches to improve our product.

*Employment as a contractor through a third-party agency for 2 years project* *Suitable for students* 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 seeking a motivated junior system engineer to join our R&D team. This part-time position is suitable for students passionate about data analysis and machine learning. You will play a crucial role in leading data investigations in various projects, particularly those related to data analytics within our connected devices product line. You will perform analysis on extremely large data sets that reach our Cloud Data Platform from our install base with millions of connected devices. This position will provide you practical experience in data science while contributing to impactful projects aimed at improving animal care and management. If you are curious and ambitious and looking to expand your skills in a meaningful way, we encourage you to apply! Key Responsibilities:
* Contribute to the design and execution of field tests, including proof of concept testing and dedicated data collection trials.
* Work with our Snowflake platform and additional DB data sources to perform root cause analysis for abnormalities in behavior of our install base.
* Help in the preprocessing of data and the creation of visualizations to communicate insights effectively.
* Work with others to deliver routine and automated dashboard views of data analysis
* Support the integration of new BI tools and data sets with cloud-based platforms.
* Participate in technical discussions to present your analysis where you will be expected to give fresh perspectives and recommend on further analysis steps.

we are seeking an experienced Senior Site Reliability Engineer (SRE) to manage the reliability, scalability, and uptime of our SaaS production environments, ensuring 99.999% uptime. You will collaborate with the SOC, DevOps, and other teams to proactively monitor and optimize the health of our systems, combining technical expertise and problem-solving to ensure exceptional service reliability and performance.
About us: For over two decades, we have mastered the art of real-time data. Weve built platforms that power the worlds most demanding systems, shaping how organizations grow their business with data-driven services. We have pioneered technologies that optimize data-driven services working with global organizations including American Airlines, Morgan Stanley, CSX, Goldman Sachs, Société Générale, Credit Agricole and more. As pioneers in data-tech, we are building on our DNA in real-time operational data to deliver cutting-edge GenAI solutions that empower businesses to unlock the full potential of their structured data and transform how they interact with information.
Reporting to our VP R&D, this position is full time, hybrid and located in Herzeliya.
Key Responsibilities:
SaaS Reliability: Ensure 99.999% uptime for SaaS environments by optimizing monitoring, incident management, and capacity planning. Work with dev and product teams to ensure smooth deployments and operations.
Collaboration with SOC & DevOps: Partner with SOC to implement security best practices and automated threat response. Work with DevOps to scale CI/CD pipelines, manage releases, and implement disaster recovery plans.
Incident Response: Lead incident response for outages, conduct post-mortems, and implement corrective actions. Develop and maintain runbooks for common incidents.
Performance & Scalability: Monitor system performance, conduct load testing, and implement auto-scaling and performance optimizations. Ensure capacity planning aligns with scaling needs.
Automation & IaC: Drive Infrastructure as Code (IaC) practices using tools like Terraform and Ansible to automate and streamline infrastructure management.
Monitoring & Reporting: Maintain monitoring and alerting systems to ensure system health, meet SLAs/SLOs, and improve issue detection.