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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!

As System Integration team lead you will lead the integration team defining setups, test plan, the test execution and debug, while working inside a demanding and diverse eco system. Position requires the ability to develop test plans, lead technical investigations of complex system issues as well as creative problem solving and hands on approach. Responsibilities:
* System integration team management
* Detailed definitions of test plans and test cases.
* Detailed definitions of testing setups.
* Hands-on debug of complex system.

We are seeking a capable and experienced Algorithm engineer to join our R&D team. The engineer will be part of a team responsible for the core autonomy parts of the product responsible for developing the foundational algorithms that guide our autonomous vehicles. This role is a part of the group that oversees Motion Planning, Decision-Making, Localization, and Control, blending traditional robotics with state-of-the-art AI to solve the most challenging problems in autonomous driving. This is an opportunity to architect and deliver the core autonomy stack for a scalable, mapless L3-L4 system. You will work on cutting-edge algorithms, including Agentic AI and large-scale models, and see your innovations deployed on public roads in our global fleet of cars and buses. Responsibilities
* Be part of the development of four key domains: Motion Planning and Decision-Making: Oversee the trajectory planner and the decision-making module that sets the context for vehicle behavior. Localization: Guide the development of high-frequency, high-accuracy vehicle state estimation using advanced sensor fusion algorithms. Control: Supervise the design and implementation of the vehicle's lateral and longitudinal controllers.
* Drive innovation by integrating state-of-the-art (SOTA) methodologies, including Agentic AI, vision language models (VLMs), transformers, multi-agent prediction, trajectory optimization, uncertainty management, and safety-aware algorithms.
* Be part of a group involving multiple engineers, from initial research and prototyping to robust deployment and validation.
* Be part of a group in charge of complex data pipelines, from collection and annotation to model training and evaluation.

We are looking for an experienced hardware engineer to join our ATE team and take part in the design and development of test equipment for advanced multidisciplinary systems. The role includes hardware board design, integration of various technologies (analog, digital, audio, RF, optics), working with microcontrollers and lab equipment, supporting production and testing processes, and writing test specifications.

As part of the Audiences team, youll work on highly scalable systems, tackle real-time challenges, and contribute to a platform that directly impacts the success of our customers campaigns.

Our team mixes disciplines from back-end, data, AI and front-end engineers and were looking for a great back-end data oriented developer that is passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goals

What youll do:
Solve diverse, complex problems at a large scale.
Collaborate with Product Managers, data scientists and Software Engineers to deliver innovative, user-facing products.
Independent - cradle to grave, own a feature from scratch to production.
Analyze and improve performance, scalability and stability of our products, environments and tools.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale.

Our efficiency-driven Backend Team develops and optimizes algorithms, enabling our solutions to handle large-scale data processing with impressive speed and low latency.
Join us in pushing the boundaries of fraud prevention and making a meaningful impact.

What youll do:
Take full ownership of products and features, from initial design to final production, empowering you to have a tangible impact throughout the entire development process.
Thrive on solving diverse and complex problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into the analysis and optimization of performance, scalability, and stability across our product portfolio, as well as the environments and tools supporting them. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.
Rise to the challenge of sharing your expertise with the wider tech community. Whether speaking at meetups/conferences, penning insightful blog posts, contributing to existing open-source projects, or releasing new open-source software, your voice will shape and inspire others.

Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.

A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more

What you'll do:
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.

We are looking for a Community Associate.
As a Community Associate, youll be the primary point of contact for the Community and act as the face of WeWork! You will report to your building each day to support the Community Management team to achieve the following:
Build a welcoming and collaborative community environment amongst our members through events and building relationships between members!
Ensure that your building is fully operational and processes are running efficiently.
Drive growth and promotion of WeWork-provided service offerings.
Take direction from the Community Lead and the Community Manager to support the Community Team and members as necessary.
All of this while illustrating WeWorks core values and working towards achieving our mission.

As part of the Audiences team, youll work on highly scalable systems, tackle real-time challenges, and contribute to a platform that directly impacts the success of our customers campaigns.

Our team mixes disciplines from back-end, data, AI and front-end engineers and were looking for a great back-end data oriented developer that is passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goals.

What youll do:
Solve diverse, complex problems at a large scale.
Collaborate with Product Managers, data scientists and Software Engineers to deliver innovative, user-facing products.
Independent - cradle to grave, own a feature from scratch to production.
Analyze and improve performance, scalability and stability of our products, environments and tools.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale.

Were looking for a Big Data Engineer who loves turning massive, messy datasets into scalable, reliable systems. Youll design and maintain data pipelines, ensure data quality, and collaborate with data scientists and product managers to bring new insights to life.

What youll do:
Design, build, and optimize scalable data pipelines and ETL processes
Own data products from design to production.
Ensure data accuracy, integrity, and performance across large datasets.
Collaborate with data scientists and engineers to deliver production-grade experiment.

Our teams deploy fast and often, having code deployed in production shortly after it was written, focusing on safety, robustness and proper architecture of our backend that handles over a hundred of billions of events daily at a fast pace.

Backend developers shape and improve our microservices architecture daily to provide the leading mobile analytics solution. To do this, we use cutting-edge technologies such as Clojure, Go, Kafka, Redis, BigQuery, GraphQL, SQL and NoSQL databases, in addition to hosted solutions that AWS and GCP have to offer and more

We encourage engineering excellence and promote industry best practices, and were looking for great backend developers with a passion for challenging themselves while solving technical problems at a large scale.

What youll do:
Own and develop our products and features end-to-end - from design to production.
Solve diverse, complex problems at a large scale.
Collaborate with Product Managers and Software Engineers to deliver value to customers.
Analyze and improve performance, scalability and stability of our products, environments and tools.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale.

We are seeking a highly motivated, energetic, Software Engineer to support our Silicon Photonics Engineering group in Haifa, Israel.
Development occurs in a dynamic and challenging global multi-site environment. However, this is an individual contributor position reporting to the SiPh Engineering Manager in North Reading.
The ideal candidate will play a pivotal role in our dynamic team and will participate in developing complex test solutions for the emerging silicon photonic market at all stages of fabrication, from wafer probe to packaged test. This is a fantastic opportunity to contribute to innovative projects in the field of instrumentation
Utilize extensive C# experience to design, develop, and implement high-quality software instrumentation solutions
Collaborate with cross-functional teams to analyze requirements and deliver robust software applications
Develop scalable, high-performance, high-quality, extensible and maintainable software
Python knowledge is a plus, contributing to the versatility and adaptability of the development team

Our Field Applications team in Israel is looking for a highly motivated Field Application Engineer who will work collaboratively with the team as well as independently and develop test applications solutions for our customers.
Responsibilities:
Develop, debug, and deploy test solutions for semiconductor devices on ATE test systems (HW and SW).
Supporting test program correlations and release to production activities.
Actively engage with customers to develop new test techniques.
Troubleshooting of test issues and improving test methodologies.
Develop customer relations at a technical level.
Collect customer needs and requests, communicate to internal engineering team to develop new solutions for customer.
Work within the support of our worldwide application teams to coordinate project development and on time delivery of critical project milestones.

we are looking for a Senior Integration Engineer to join supporting Telco 5G product offerings. You will be part of a team responsible for designing and implementing the container platform for 5G telecommunication companies, contributing to industry-leading technologies in the Kubernetes ecosystem.
As a part of a geographically distributed team, you will collaborate with multiple engineering teams and open source communities around the globe. To be successful in this role, you will need to have motivation, curiosity, passion for problem solving, experience with Telco technologies, Linux, Kubernetes, and open source.
What you will do:
Play an active role researching and then integrating various Kubernetes and telco features into an unified solution. Daily activities will be deploying, automating, demonstrating, troubleshooting and documenting integrations
Develop and integrate changes in multiple projects to troubleshoot, analyze bug root causes and provide resolutions
Create, review, and validate design, enhancement proposals and patches from other members
Work with the quality engineering team (QE) to ensure effective test coverage
Take an active role in publicizing the team's work through blogs, web postings, or conference talks
Leverage AI-assisted development tools (e.g., Cursor) to accelerate integration workflows and enhance code quality.
Develop and maintain technical familiarity with AI platforms, including OpenShift AI and RHEL AI, to effectively support partners integrating their solutions.

The engineering team is looking for a Senior Software Engineer to join our Telco engineering group.
In this role, you will help develop and implement cutting-edge new technologies and features, deploy and manage Openshift in various topologies on the edge, manage releasing of several Openshift Operators, optimize our systems and ensure a seamless operator release process.
In addition you will have the opportunity to work with brilliant engineers from all over the world, and collaborate with QE, release, documentation teams and communities in an open source and agile development method.
What will you do:
Deploy and manage Openshift on baremetal servers in various topologies on the edge, update the CI lanes and troubleshoot.
Manage releasing of several Openshift Operators and containers that enables telco engineering to meet low latency and low power requirements.
Propose and review design, enhancement proposal for platform related topics.
Plan and prioritize your work to complete timely in the Openshift release cycle.
Collaborate with the quality engineering team ensuring that their requirements are met to deploy and test the OCP deployment and configuration changes.
Work with upstream communities, contribute your code to upstream.

Join the Workload Availability team as a Software Engineer in Ecosystem Engineering.
Your core mission is to safeguard the stability and availability of mission-critical workloads on OpenShift by developing and integrating robust proactive and reactive remediation mechanisms.
You will focus on the complex challenges of node health checking, automated fencing, and self-healing within the cluster, ensuring these critical availability features integrate seamlessly with the diverse ecosystem of third-party hardware, cloud platforms, and infrastructure providers.
What You Will Do:
Maintain critical components, controllers, and operators (primarily in Go) responsible for detecting, diagnosing, and automating the recovery of unhealthy cluster nodes on OpenShift.
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and software release process using Konflux CI/CD system
Develop intelligent node mechanisms to accurately determine a node's operational status and trigger the appropriate self-healing or external remediation actions.
Contribute upstream to projects that focus on Kubernetes-native machine and node remediation to advance the platform's self-healing capabilities.
Troubleshoot and resolve complex cross-ecosystem availability and reliability failures, requiring deep debugging into kernel-level behavior, cloud infrastructure APIs, and Kubernetes control plane logic.
Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.