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Join our company, an innovative startup building a fully-managed LLM-inference platform, that enables data heavy enterprises to perform any AI task at any scale without limits.
We're looking for an Experienced Performance Researcher to join our founding team. Youll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for AI workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing our company as a leader in adaptive AI compute management.
Join us to tackle the magic that make AI tick under the hood and build the backbone powering the AI revolution.
What Youll Do
- Design and build high-performance distributed inference pipelines for LLMs, focused on large-batch, non-real-time scenarios.
- Optimize GPU memory usage, kernel execution, and communication across nodes (NCCL, MPI, etc.).
- Own CUDA kernels, compiler-level tricks, and multi-GPU scheduling logic.
- Lead profiling and performance tuning for throughput, and cost- down to the kernel level.
- Collaborate with infra, product, and research teams to define SLAs, resource allocation logic, and runtime behaviors.
- Help build the core infrastructure that will run LLM workloads across hybrid GPU environments (cloud/on-prem/self-hosted).

Join our company, an innovative startup building a fully-managed LLM-inference platform, that enables data heavy enterprises to perform any AI task at any scale without limits.
We're looking for an Experienced Software engineer to join our founding team. Youll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for AI workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing our company as a leader in adaptive AI compute management.
Join us to tackle the magic that make AI tick under the hood and build the backbone powering the AI revolution.
What Youll Do
- Design and implement the control plane that orchestrates distributed inference across cloud GPU infrastructure.
- Own backend systems responsible for job scheduling, SLA tracking, usage metering, tenancy, auth, and data coordination.
- Build robust APIs that glue together infra automation, ML workloads, and user-facing dashboards.
- Work across multiple cloud providers and BYOC environments-build systems that expect chaos and still work.
- Collaborate with infra, ML, and product teams to abstract complex infra flows into clean interfaces.
- Help define system architecture and lay the groundwork for a platform that adapts to varied customer deployments.

The Senior Software Engineer, Edge our company's growing engineering organization and help build the software that runs on the core device layer behind our platform. This role sits within a small, highly impactful team responsible for a hybrid edge system that powers core functionality across video, security, networking, storage, and AI deployment in production environments. You'll work on a resource-conscious, distributed device architecture that spans multiple hardware targets and brings together technologies more commonly seen across both embedded and cloud systems. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable building reliable software for systems customers depend on every day.
Location & Travel
Hybrid / Onsite Schedule: Based in Caesarea or Ramat Gan with 2 days a week working from home.
Responsibilities
Contributing to the development of our core edge platform, designed to run across diverse hardware environments as part of a hybrid edge-cloud architecture
Developing and integrating video management capabilities, including streaming, recording, and real-time AI processing
Designing and optimizing systems for low-latency, high-performance workloads at the edge
Building secure and efficient communication pipelines between edge devices and cloud systems
Working closely with AI/ML engineers to deploy and optimize models on-device
Participating in code reviews, debugging, and performance tuning across the stack
Collaborating with a talented team of engineers, AI experts, and leadership in a fast-moving environment
We dont do cookie-cutter. If you dont check every box but youve got the grit, the drive, and the track record-especially in security or AI-we encourage you to apply.

The Software Engineer - Cloud will join a foundational and growing cloud team with meaningful ownership over critical platform areas. You will help build the software systems behind a hybrid edge-cloud architecture powering real-time video streaming, recording, and AI processing at global scale. This role sits within the team led by the Head of Cloud, which owns a broad software domain across cloud, mobile, web applications, and related clients.
Youll work on a distributed backend ecosystem that connects edge devices with cloud services and customer-facing applications, with a strong focus on performance, reliability, and low-latency user experiences. This is a strong fit for an engineer who enjoys meaningful ownership, thrives in a fast-moving startup environment, and is comfortable contributing to systems that support customers worldwide. You will have a chance to work alongside teammates across the U.S., Israel, and Europe, contributing to a platform with broad impact and increasing customer demand.
Location & Travel
Hybrid Schedule:
Two days a week working from home.
Ramat Gan office, located just outside Tel Aviv and close to the train station.
Includes biweekly travel to our Caesarea office.
Responsibilities
Build and evolve the core cloud platform that supports real-time video streaming, recording, and AI processing across a global customer base.
Design, develop, and maintain distributed backend services that connect edge infrastructure with cloud systems and customer-facing products.
Develop and support data pipelines for both real-time and batch processing of video and AI-related workloads.
Work on systems responsible for ingestion, storage, retrieval, and secure handling of large-scale video data in a multi-tenant environment.
Architecting multi-tenant, highly available systems across regions in a cloud environment
Collaborate closely with Edge engineers and adjacent teams to enable seamless integration across the broader platform.
Use cloud provider services and SDKs as part of day-to-day development, including work across core cloud capabilities rather than a single isolated service.
Contribute to backend development in JavaScript/Node.js and, depending on background and team fit, potentially support growing work in Go as part of the cloud stack.
Participating in code reviews, debugging, and optimizing performance across distributed systems
Help support a production environment where reliability matters, including situations that may require responsiveness outside standard hours when cloud issues have broad impact.
Our infrastructure is powered by Google Cloud.
Other duties may be assigned.
We dont do cookie-cutter. If youve got the grit, the drive, and the track record-especially in security or AI-we want to hear from you. Even if you dont check every box, lets talk.

Key Responsibilities:
Design, develop, and evolve core backend systems and services, with an emphasis on scalability, performance, and maintainability.
Lead complex technical initiatives from concept through production, making architectural decisions that drive long-term impact.
Take end-to-end responsibility for backend production systems, including monitoring, troubleshooting, performance optimization, incident resolution, and infrastructure reliability.
Maintain high engineering standards through code reviews, testing, documentation, and best practices.
Continuously evaluate and adopt modern development tools to improve developer productivity and system quality.
Provide technical leadership and mentorship across the backend domain, influencing architectural standards and engineering culture.

Role Overview:
Execute manual testing to identify bugs, usability issues, and edge cases.
Create, maintain, and execute test cases based on product requirements and UX/UI flows.
Collaborate with developers, product managers, and designers to ensure a high-quality user experience.
Perform regression, exploratory, and smoke tests as part of the software development lifecycle.
Document test results clearly and thoroughly, and assist in reproducing and isolating issues.
Contribute to continuous improvement of QA processes, checklists, and documentation.

Key Responsibilities:
Design, develop, and evolve core full-stack features, with an emphasis on scalability, performance, and maintainability.
Lead complex technical initiatives from concept through production, making architectural decisions that drive long-term impact.
Take end-to-end responsibility for production systems, including monitoring, troubleshooting, performance optimization, and incident resolution.
Maintain high engineering standards through code reviews, testing, documentation, and best practices.
Continuously evaluate and adopt modern development tools to improve developer productivity and system quality.
Support and mentor other engineers as needed, sharing knowledge and contributing to team growth.

At our company, were building the future of digital healthcare, making access to prescriptions, treatments, and delivery simpler, smarter, and fully online.
Were looking for a Business Analyst who is passionate about turning data into actionable insights and driving sustainable growth across the customer lifecycle. As a Business Analyst at our company, youll work closely with Retention, CRM, Product, Customer Experience, and Data teams to analyze customer behavior, identify growth opportunities and support data driven decision making. Youll focus on repeat purchases, retention, churn, reactivation, and customer lifetime value.
we are a technology driven group building the next generation of digital healthcare infrastructure. At the core of the group is DoktorABC, a leading telehealth marketplace operating across multiple international markets. DoktorABC connects patients, licensed doctors, pharmacies, medications, and delivery partners through a single digital healthcare experience
Responsibilities
Analyze customer behavior and business performance across the customer lifecycle, with a focus on retention, repeat purchases, churn, reactivation, and customer lifetime value
Monitor key KPIs and build dashboards, reports, cohorts, and customer segments to identify trends and performance gaps
Analyze customer journeys and identify key drop off points, churn drivers, and opportunities to improve repeat behavior
Partner with Retention, CRM, Product, and Customer Experience teams to evaluate campaigns, lifecycle journeys, discounts, Care Plans, and other retention initiatives
Analyze performance across markets, treatment categories, medications, service types, acquisition sources, and customer segments
Measure the impact of customer experience factors such as cancellations, payment failures, and delivery issues on customer behavior and business results
Support tests and experiments, including KPI definition, control groups, performance analysis, and final recommendations
Translate complex data into clear business insights, quantify opportunities, and support strategic decision making.

Required MI Software Principal Architect
Job Description Summary
As the Molecular Imaging (MI) Principal Architect, you will lead the software architectural vision and execution for MI PET and SPECT systems. This role is pivotal in shaping the software architecture that powers MI products, ensuring they are scalable, secure, and clinically impactful. You will collaborate across engineering, systems, and clinical teams to deliver differentiated solutions that advance diagnostic precision and operational efficiency in nuclear medicine.
Key Responsibilities:
Architecture Leadership & Execution:
Own and drive technical architecture discussions across MI software subsystems and products.
Define and evolve the architecture for MI software platforms, balancing legacy integration with modern design principles.
Develop and maintain architectural roadmaps aligned with MI product strategy and clinical needs.
Ensure software architectural decisions are translated into implementable designs and consistently realized across development teams.
Review and approve critical design decisions and system-level tradeoffs.
Participate in architecture governance and ensure compliance with design controls and regulatory standards (e.g., IEC 62304).
Technology Strategy & Innovation:
Evaluate and integrate emerging technologies into MI software solutions.
Drive software modernization efforts.
Collaborate with the Imaging Architect Office and MI systems teams to define the long-term technology runway for PET/SPECT modalities.
Lead the design, implementation, and governance of safe, compliant agentic AI use across the organizations software development life cycle.
Cross-Functional Collaboration:
Partner with MI systems engineering, clinical applications, and hardware teams to ensure cohesive system-level architecture.
Guide early-stage stakeholder engagement and support integration with legacy and future-state systems.
Influence and align global teams on architectural direction and technical standards.
Operational & Business Acumen:
Ensure architectural decisions support operational stability, serviceability, and lifecycle cost optimization.
Translate architectural strategies into measurable business and clinical outcomes, and communicate effectively with cross-functional stakeholders.
Support capital and operational planning through informed technology choices and risk assessments.
Mentorship & Talent Development:
Mentor staff and engineers within the MI software team, fostering architectural depth and leadership growth.
Contribute to the development of the technical career path and talent pipeline within the MI organization.

Required Staff Machine Learning Engineer
Job Description Summary
The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for our 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.
Job Description
The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for our 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.

Required Software Engineer
Job Description Summary
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 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.
About the Team:
Our team develops the data acquisition platform powering our 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).

We are looking for an experienced and highly motivated excellent Software Engineer to join the Haifa Image Generation group. Youll design and develop software for the next generation CT product, implementing new complex image processing algorithms and control logic enabling new premium CT products that are expected to revolutionize the industry. You should have a strong C++ background, good communication skills, and an ability to integrate well as part of the team and global organization, motivated to solve sophisticated problems. Youll be developing CT reconstruction software applications and services computational tools, working in the areas of algorithm development, control logic, platform, application, AI, collaborating with engineers across the globe from US, Sweden, Japan, India and China. Experience in developing software for healthcare and especially for CT is a strong advantage.
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 GEHC imaging products
Work on core data structures and algorithms and implement them using C++, Python, CUDA, OpenCL.

We are seeking a Lead Systems Engineer to drive Point-of-Care Ultrasound systems engineering activities across the full product lifecycle.
Job Description
Key Responsibilities:
Lead and manage system-level requirements and specifications throughout product development
Drive system verification and validation activities, including end-to-end system testing
Act as the primary interface between Algorithm, Software, and Verification & Validation (V&V) teams
Lead product risk management activities in accordance with regulatory and quality standards
Drive resolution of complex technical issues to ensure project milestones and goals are met
Collaborate closely with Program Management to support scheduling, mitigate technical risks, and inform decision-making through sound engineering judgment.

Required Verification Lead
Job Description Summary
The Verification Team Leader leads a team of verification engineers responsible for planning, executing, and documenting verification activities for ultrasound products. The role ensures product requirements are effectively verified and supports timely product releases through close collaboration with cross-functional teams.
Key Responsibilities:
Lead, mentor, and develop a team of verification engineers.
Define verification strategies, plans, schedules, and resource needs.
Review requirements for completeness, clarity, and testability.
Oversee development and execution of system, software, integration, and regression tests.
Track verification progress, risks, and quality metrics.
Drive defect investigation, root cause analysis, and resolution.
Ensure verification deliverables are completed on time and with high quality.
Collaborate with R&D, Systems Engineering, Product Management, Clinical, and Quality teams.
Promote process improvements, test efficiency, and automation.

A leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, we enable creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, we provide a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. We are looking for a Senior backend Engineer to join our new Platform Infrastructure team. In this foundational role, youll help build the shared backend systems, frameworks, and tooling that power every product across the company. If youre passionate about solving hard technical problems, shaping internal architecture, and scaling best practices across teams - we want to hear from you.
Wake Up for This
* Build for builders: Design and develop the backend infrastructure that other teams will rely on- from shared services and APIs to internal Developer tools and performance optimizations.
* Engineer at scale: Work across modern backend stacks, building reusable systems that balance flexibility with consistency.
* Drive technical standards: Partner with tech leads, designers, and developers across the company to define best practices and guide architectural decisions.
* Lead by example: Mentor other engineers, support their growth, and help raise the overall bar for backend quality and maintainability.
* Create real impact: Your work will improve development velocity, code quality, and User Experience for millions of creators and countless internal users.