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As a Software Engineer - PET Data Acquisition, you will join a highly specialized team developing the real-time software stack at the core of our companys PET/CT imaging systems.
Our software directly impacts image quality and system reliability, enabling clinicians worldwide to provide accurate diagnoses and life-saving care.
You will work on a distributed, high-performance C++ system running on Linux, responsible for configuring detector hardware, processing high-throughput data streams, and enabling seamless integration across the scanner ecosystem.
Job Description
About the Team
Our team develops the data acquisition platform powering our companys PET/CT scanners.
This system:
Configures and interfaces with detector hardware
Receives high-rate event streams via UDP
Performs real-time sorting and time-stamping of coincidence events
Manages acquisition state and persistence
Exposes control and monitoring APIs to clinical applications
The platform is a distributed, multi-process, multi-threaded C++ system running on Linux, designed for deterministic, high-performance operation under demanding workloads.
Key Responsibilities
Design and develop end-to-end data acquisition features, from low-level UDP capture and event processing through service layers and client APIs
Optimize and maintain performance-critical code paths, including:
Lock-free / low-contention data structures
Thread affinity and NUMA optimization
Zero-copy buffer management
Deterministic real-time execution
Enhance and maintain inter-process communication mechanisms, including shared memory, message queues, and service interfaces
Work with embedded persistence layers (SQL-based) for configuration, metadata, and runtime state
Collaborate closely with hardware, physics, and system teams to integrate new detector and system components
Develop unit and integration tests, and actively participate in code and design reviews
Troubleshoot complex cross-process issues using advanced debugging and profiling tools (e.g., gdb, perf, tcpdump, strace).

Responsibilities:
Duties include (but are not limited to):
Providing domain expertise to serve as the main integrator between all involved disciplines and functions to deliver the best quality product.
Working across functions and team boundaries to define, design, and implement the next generation of products, features and functionalities.
Working with customers, Marketing and field personnel to refine requirements which can be further developed by the engineering teams.
Developing methods to quantify subsystem interactions and their effects on image quality
Delivering and incorporating feedback results into new hardware, software and service specifications.
Decision making in cross-disciplinary and architectural aspects.
Apply expertise to help resolve urgent issues with current Molecular Imaging products.
Assist Program Manager in execution of projects within time and schedule.

Roles and Responsibilities
In this role, you will:
Build, design and implement CT image generation/reconstruction software - algorithms and applications.
Lead complex SW designs and related discussions
Collaborate with system engineers, algorithm developers and other software developers from across the globe to implement solutions that are aligned with and extend shared platforms and solutions for CT
Apply principles of SDLC and methodologies like Agile/Scrum, CI, requirements analysis, documentation practices, software and product security, scalability, refactoring and testing techniques
Understand, assess and optimize algorithms and applications performance
Take part in developing a common imaging platform for all our company imaging products
Work on core data structures and algorithms and implement them using C++, Python, CUDA, OpenCL.

We are looking for a Data Insights & Analytics Manager who will develop a deep understanding of data generated global installed base of connected medical devices, combine it with enterprise data, and translate it into insights and tools that create value for our customers and the business.
The role goes beyond reporting and dashboard creation.
We are looking for someone who is naturally curious, proactively explores data, identifies patterns and opportunities, and drives the organization to act on what the data reveals. Importantly, the role is expected to uncover broader customer, commercial, and business insights by connecting IoT data with enterprise and other relevant data sources - not only insights derived from device data itself.

The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for our company medical imaging products. This role focuses on vision-language models, diffusion models, and multimodal learning, working closely with data scientists, software engineers, product leaders, and clinical experts to turn advanced AI methods into robust product capabilities.
Key Responsibilities
Design, implement, and productionize AI models for clinical applications, including vision and diffusion models.
Own end-to-end model lifecycle: data ingestion, training, evaluation, deployment, monitoring, and iteration.
Work with large-scale medical datasets, ensuring data quality, preprocessing, and efficient pipeline management.
Drive technical decisions and tradeoffs with a focus on scalability, maintainability, and real-world constraints.
Collaborate with clinical AI scientists to translate research innovations into production-ready solutions.
Stay current with advancements in vision-language modeling, GenAI, and related AI technologies.

We're a fast-moving, highly collaborative team operating at a transformational moment, and we're charged with shaping how people discover, explore, and buy home furnishings. Our expertise spans data science, performance marketing, product, and creative, and our work reaches millions of customers every day. It's a rare combination: the energy of a tech company, the stability of an industry leader, and the opportunity to build something truly significant. If you're energized by transformation, collaboration, and meaningful impact at scale, our company is where ambition meets opportunity.
We are looking for a Full-Stack Engineer who brings strong ownership, and a practical, can-do mindset. You will join a cross-functional squad building business-critical applications and internal platforms that support Operations, Customer Support, CRM, analytics, and other core business functions. You will own features end-to-end, from understanding requirements and contributing to technical design, through implementation, testing, deployment, and iteration in production.

You will partner closely with Product, DevOps, Data, and other stakeholders to translate business needs into scalable solutions. As our teams and platforms continue to scale, youll play an active role in building and evolving our systems, contribute to technical decisions, and develop solutions that directly impact our operations, customers, and business.

Roles and Responsibilities:
Develop and maintain business-critical applications supporting Operations, Customer Support, CRM, analytics, and other core business functions.
Own features end-to-end, from requirements and technical design through development, testing, deployment, and production
Build scalable backend services and APIs using Node.js and TypeScript, alongside user-facing features in React
Work with microservices, event-driven architectures, third-party integrations, and large-scale data flows
Collaborate with Product, DevOps, Data, and Engineering on technical solutions, code reviews, and continuous system improvements
Identify opportunities to apply AI throughout the development process to solve problems, improve efficiency, and build better solutions

We're a fast-moving, highly collaborative team operating at a transformational moment, and we're charged with shaping how people discover, explore, and buy home furnishings. Our expertise spans data science, performance marketing, product, and creative, and our work reaches millions of customers every day. It's a rare combination: the energy of a tech company, the stability of an industry leader, and the opportunity to build something truly significant. If you're energized by transformation, collaboration, and meaningful impact at scale, our company is where ambition meets opportunity.
We are looking for a Full-Stack Engineer who brings strong ownership, clear communication, and a practical, can-do mindset. You will join the Commerce squad and build high-impact capabilities across our core commerce and internal platforms, including Admin experiences that power pricing, promotions, product data, and order lifecycle flows, as well as Operations and Customer Support. You will operate in a fast-paced environment with high standards, partnering closely with Product, Design, DevOps, and cross-functional stakeholders to deliver meaningful business outcomes. This is an opportunity to influence technical decisions, own features end-to-end, and build scalable systems that support critical commerce experiences used across the business.

Roles and Responsibilities:
Design and implement scalable microservices with strong API contracts and maintainable architecture, in a backend-oriented Full-Stack role (60-70% backend development)
Own features end-to-end: clarify requirements, propose technical designs, break down delivery, coordinate dependencies, ship, monitor, and iterate based on real usage and business impact
Contribute to event-driven commerce architecture: publish and consume events, design resilient workflows, handle retries and idempotency, and ensure data consistency across services
Work within a Scala-based monolith, adapting quickly to unfamiliar technologies and applying pragmatic refactoring practices
Work with MongoDB and other data stores as needed, designing schemas and access patterns that support scale, performance, and long-term maintainability
Work with AWS cloud infrastructure and production systems, including observability, deployments, and operational readiness

What am I going to do?
Drive the team's project roadmap, owning the schedule and ensuring on-time delivery while proactively managing dependencies.
Act as the primary point person for production health, overseeing reliable deployments and leading swift incident response.
Provide hands-on technical mentorship and guidance to engineers, championing best practices in security and architectural design.
Cultivate strong partnerships with team leaders from the group to facilitate seamless cross-functional integration and align on shared objectives.
Optimize day-to-day operational rituals, including stand-ups, sprint planning, and task allocation, to maintain team velocity and efficiency.

What am I going to do?
Independently deploy and maintain robust cloud infrastructure across AWS, GCP, and CloudFlare, leveraging Kubernetes, Terragrunt, and Ansible.
Contribute to an on-call rotation, ensuring the stability of critical production services including Kafka, RabbitMQ, and various databases, with a focus on proactive incident resolution.
Lead small to mid-sized projects from conception through completion, utilizing your expertise in CI/CD pipelines (Jenkins, ArgoCD, Argo Workflows) and scripting languages like Python, NodeJS, Go, or Kotlin.
Partner closely with security and development teams to embed security best practices throughout the entire software development lifecycle.
Proactively evaluate and implement new tools and technologies to enhance engineering efficiency, security posture, and operational excellence.
Manage sensitive information securely using tools like HashiCorp Vault and ensure secure configurations for services like Kong & Nginx.

We are a fast-growing start-up company, located in Tel Aviv, with a very strong founding team (Ex-8200, Google, etc.). We are looking for candidates who are passionate about bringing a new feature from ideation to the customers hands, while solving complex challenges and building scalable infrastructure.

What Youll Do
End-to-end development of backend software components (research, design, development, testing, rollout, monitoring).
Contributing to technological and architectural decisions, as part of the core engineering team.
Analyzing and improving efficiency, scalability, and stability of various backend system components.
Working on hard problems like static code analysis with low latency, graph algorithms, complex infrastructure, among others.

We're selective about who joins us. Our lean engineering team is made up of people who've built and delivered at a high level before, and we're looking for one more exceptional Full Stack Engineer to raise the bar again. You'll work directly with the founding team, own projects end-to-end, and shape the technical direction of a product already proving itself at scale.
What You'll Do:
Own features end-to-end, from product and technical design through implementation, testing, and deployment
Build and refine AI-powered features, pushing on quality, performance, and cost
Build across both our merchant-facing dashboard and customer-facing storefronts
Solve real performance and scalability challenges as usage grows
Design and evolve our APIs, services, and data models
Work with event and usage data at scale across our product and analytics system
Help define our architecture and engineering practices as we grow

What am I going to do?
Build and evolve our production LLM pipelines, turning unstructured text into structured data that the product consumes.
Design and operate large scale batch and near real time data processing, including correctness, freshness and cost.
Build the retrieval and serving layers that make our data usable in real time.
Decide what runs on which LLM model, and prove the choice with numbers rather than intuition.
Keep cost and latency predictable as volume grows: throughput, failure handling and monitoring.
Build agentic workflows that makes the whole team faster, and help set the standards others work to.

What am I going to do?
Full Ownership: Drive infrastructure initiatives through their entire lifecycle, taking accountability from initial design to delivery and long-term operations.
Kubernetes Orchestration: Architect, implement, and maintain production-grade Kubernetes clusters, ensuring they remain scalable and resilient under high-scale demand.
Cloud Architecture: Design and manage robust AWS environments, including VPC, IAM, and EKS, to support a highly available platform architecture.
Infrastructure as Code: Utilize Terraform to build and evolve our environment, applying configuration management principles to all IaC workflows.
CI/CD Excellence: Support and improve our deployment pipelines using Jenkins and GitHub Actions to maintain a fast development velocity.
Observability: Implement comprehensive monitoring solutions with Prometheus and Grafana to ensure deep visibility into platform health.
Operational Resilience: Join the DevOps on-call rotation, taking responsibility for mitigating production issues and maintaining site reliability.
Tooling & Innovation: Continuously evaluate and adopt tools - security and otherwise - that raise the bar on engineering efficiency and security posture at our company.

This is a Senior AI Software Engineer role within our companys AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products.
Responsibilities
Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging.
Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features.
Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems
Develop and maintain high-quality, scalable, and efficient code.
Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems).

This is a leadership role within our companys core AI group, focused on building and evolving the AI-facing software systems that enable our algorithms to move from research into robust, production-ready components.
The AI Software team is responsible for developing the software layers, tooling, and core systems that support the development, execution, and operational readiness of AI models throughout their lifecycle. As a Team Lead, you will shape the teams technical direction, guide execution, and remain deeply hands-on, contributing to architecture, implementation, and key technical decisions.
You will lead a scrum team, work closely with AI researchers and algorithm engineers, and collaborate with product and engineering partners. The role combines strong software engineering with AI context, in a culture where software quality is a core enabler of AI excellence, and technical leadership is grounded in ownership, clarity, and impact.
Responsibilities
Lead the teams work on core software systems that sit at the intersection of algorithms and engineering, owning their design and implementation as part of the overall solution.
Guide and support team members growth, providing technical leadership, mentoring, and day-to-day coaching while fostering ownership and accountability.
Stay deeply hands-on in design and implementation, contributing code and solving complex software engineering problems where impact is highest.
Collaborate closely across teams, working with algorithm engineers, Product, and Engineering partners to define interfaces and align priorities.
Own project-level architecture and technical decisions, ensuring high-quality systems through sound design, code reviews, testing practices, and clear documentation.