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we are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

About Eitan Medical Eitan Medical is a fast-growing global medical device company, developing and manufacturing innovative drug delivery and infusion solutions across the continuum of care - from hospital to home. We are driven by a single, meaningful purpose: to improve patient care and save lives through innovation. We are looking for a passionate and talented AI Engineer to join our mission - leveraging Generative AI (GenAI) to power smarter healthcare, enhance clinical insights, and accelerate the adoption of transformative technologies across the organization. Job Description As an AI Engineer at Eitan Medical, you will be part of a team committed to bringing life-changing innovation to patients and clinicians. You will lead the integration of Generative AI into our Insights platform , helping transform complex medical data into actionable insights that support better clinical decisions, personalized treatments, and improved patient outcomes In parallel, you will drive AI adoption across internal departments , enabling digital transformation, operational efficiency, and intelligent automation that empower teams company-wide. This is a highly cross-functional role, collaborating with data engineers data analysts product managers , and full-stack developers to build and deploy impactful, scalable, and responsible AI solutions. We are seeking someone curious, self-driven, and forward-thinking - a technologist who stays ahead of industry trends and actively identifies opportunities to bring cutting-edge As an AI Engineer at Eitan Medical, you will play a vital role in integrating Generative AI technologies into both our SaaS healthcare platforms and internal business operations . Your work will directly contribute to improving clinical decision-making, optimizing treatment pathways, and enabling intelligent automation that enhances patient outcomes and operational efficiency. You will collaborate closely with data engineers data analysts product managers , and full-stack developers , turning cutting-edge AI concepts into production-ready solutions that drive real-world impact. This role is ideal for a curious, self-driven technologist who thrives on staying ahead of industry trends, identifying opportunities for innovation, and applying the latest AI technologies responsibly and effectively.
Key Responsibilities Integrate Generative AI (GenAI) capabilities into Eitan’s SaaS platforms to enhance clinical decision support, treatment optimization, and actionable medical insights. Identify and lead AI-driven initiatives across departments to streamline processes, boost productivity, and accelerate innovation. Design and implement AI-powered systems , including RAG architectures and agentic workflows, using frameworks such as LangChain LlamaIndex , or similar. Develop effective prompt strategies and reasoning pipelines for adaptive, context-aware, and explainable AI behavior. Monitor and optimize AI system performance , maintaining accuracy, reliability, and safety in healthcare contexts. Stay ahead of emerging AI research and tools , evaluating new technologies for their potential to deliver measurable clinical and business impact.

We are looking for an experienced, independent team player who has great data & computer science skills, a passion for data, and excellent analytical and algorithmic skills.
This role is diverse, encompassing AI/ML, data analysis, and backend engineering.
You will play a crucial role within a mission-critical team responsible for managing the heart and brain of our primary product. This involves working on core systems, such as POS underwriting models, models for merchant operations, and more.
You will participate in cutting-edge risk management systems that safeguard the loan product's financial operation, as well as operational systems, with a direct impact on its financial success.
Our AI/ML team is part of the R&D group, so you will work closely with engineers and product managers as well.
Key Responsibilities:
Research and develop statistical behaviors, study domain-specific data.
Develop state-of-the-art machine learning models end to end, including development, deployment, and continuous improvement. Both in-weight learning and in-context learning, for risk / operations related projects. This includes integrating models into production services and ensuring compliance with regulatory processes (e.g., using SHAP values for model explainability and providing evidence for production model audits).
Operate backend infrastructure for training and deploying ML models, ensuring optimal performance and reliability.
Develop and maintain Python code for translating ML model outputs into financial decisions.
Conduct analytical research on our models impact on the portfolio.
Strategize and implement changes to enhance portfolio performance.

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.

This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.

Key Responsibilities:

Develop internal tools for various teams.
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.

Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.

This is a hands-on, cross-functional role ideal for engineers who love building full-fledged featuresfrom data pipelines and LLM orchestration to intuitive UI experienceswith a strong product mindset.

Responsibilities:
AI Agent Design & Integration
Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
Fullstack Product Development
Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
Collaborate closely with design, product, and data teams to bring ideas from concept to production.
Systems & Infrastructure
Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
Ensure systems are secure, reliable, and compliant with InfoSec standards.
Experimentation & Continuous Improvement
Rapidly prototype and iterate on new AI capabilities and user experiences.
Analyze performance and usage metrics to drive product and model improvements.
Stay up to date with the evolving AI toolchain and emerging agent architectures.

We are rapidly growing into various verticals as stated above and looking to grow our team with a developer relations leader. This role is a key member of the team that would manage our technical engagements in leading industries such as general AI/ML applications development, consumer internet, AI on embedded systems and others; and to evangelize our portfolio of technologies and accelerate its adoption among developers. Have strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers. This is a regional role covering Israel's AI ecosystem.

What you will be doing:

Develop a technical strategy to ensure our platforms adoption for selected industries, focusing on your priority industries and use cases

Establish relationships with technical leaders in organizations and communities, specifically developers, startups and ISVs within the industries.

Evangelize and develop our leadership position by accelerating the availability of GPU-accelerated AI and data Science applications in the specified market by helping developers understand the value of our hardware products and SDKs in addressing critical development opportunities

Lead participation in targeted customer and industry developer events and activities. Chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers.

Be the key advisor to how we are differentiated. You will become a technology mentor and focal point for the software developer community.

We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.

This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.

Key Responsibilities:

Develop internal tools for various teams .
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.

seeking a skilled and experienced DevOps Engineer to design, plan and implement scalable, reliable and robust system infrastructure to support the companys rapid business and traffic growth.

You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.

What you'll be doing:

You will take an active part in the challenge of managing a highly available and fault tolerant production environment.
You will assist in identifying and resolving performance concerns and operational bottlenecks, debug complex pitfalls and advise on system architecture solutions.
You will build, design and maintain self-serve devex tools to increase development velocity and satisfaction.
You will push and impact our systems to be more cost effective, performant and simple to use and extend.

We are looking for a highly motivated and experienced Software QA Engineer to join our Firmware QA Team. Quality is an integral aspect of our products, and as a Firmware QA Engineer you will have a significant impact in helping us to deliver our products to customers in a fast paced and constantly evolving environment. You will bring your upbeat personality with excellent communication skills, attention to detail, and real passion for a positive user experience.

What Youll Be Doing:

In the position of Senior QA Software Engineer, you will have a key role in assuring our products meet high-quality standards! Your tasks will consist of:

Collaborating on projects involving ITU-T standards like G.8273.2 Class-C/D Boundary Clocks.

Applying your deep knowledge of communication network standards to validate and improve product quality.

Testing and verifying clock synchronization protocols, including Synchronous Ethernet (SyncE) and Precision Time Protocol (PTP).

Defining and implementing test topologies and setups to ensure comprehensive product coverage.

Participating in requirements, build, and feature reviews, providing QA insights and feedback.

Engaging with customers, presenting solutions, assisting in debugging on customer environments, and supporting integration efforts.

Staying up-to-date with emerging networking standards, features, and technologies to continually expand QA coverage.

Implementing and composing manual and automated firmware and system-level tests in a Linux environment.

We are looking for an experienced Senior Product Fullstack Developer, to further develop the platform. You will build a product that customers love and use on a daily basis, a product that is fun to use, fast, reliable and scalable. You will tackle a wide array of problems from developing a UI that is responsive to the user and fun to choosing the right backend technologies to solve specific product use cases at scale.

Ownership & Responsibilities:
As Product Fullstack developer you will be assigned to one of our product groups consisting of a representative from sales, customer success, support, data, marketing and R&D. Each group member is in charge of giving inputs from their respective team. The idea is to have a holistic view of your part of the product in order to be able to make the right decisions about the product. Together with your product group you will understand your customers use cases and needs, define the roadmap, and build your weekly sprints. Additionally as the developer in the group you will be in charge of pushing your product forward from the technical perspective, everything from solving bugs, planning the right architecture, coding features, and pushing it all to production.

We have improved AI infrastructure by merging GPU virtualization with Kubernetes-native tech to power innovative AI factories. We aim to speed up enterprise AI projects with smart orchestration, and scalability for AI workloads. Seeking a skilled Senior Software Engineer for our Infrastructure Group to innovate AI technology. The Infrastructure Group is tasked with composing and evolving the core systems responsible for thousands of GPUs and nodes driving enterprise AI. We invent the foundation that facilitates elastic, secure, and observable AI operations at extensive scale. We are seeking engineers who are passionate about distributed systems, modern cloud-native infrastructure, and AI performance optimization.

What youll be doing:

Crafting and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.

Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.

Collaborating closely with backend engineers, product managers, and other partners to deliver impactful solutions.

Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.

Conducting code and build reviews to uphold high-quality standards and mentor team members.

Leading the development and implementation of advanced identity management systems that secure our innovative AI and GPU cloud.

Developing scalable multi-tenant solutions that allow our diverse clientele to harness the power of our platforms securely and efficiently.

Collaborating with multi-functional teams to integrate identity and access management features seamlessly into our products, from cloud services to edge computing devices.

We are now looking for a Chip Design Verification Engineer. We are seeking a verification engineer to join the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and embracing new technologies. One of our main goals is to make sure that the team works in an efficient manner, and provides high-quality deliveries. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

What you'll be doing:

Develop shared verification code and solutions to be widely used by the chip design team.

Develop groundbreaking methodologies to create a flawless experience for verification engineers to keep the focus on new problems.

Collaborate with the design automation team to provide end-to-end solutions that combine verification, simulation, and automation.

Get in touch with EDA vendors to learn about cutting-edge tools/technology and apply them into our verification process.

Understand the design, define the verification scope, develop the verification infrastructure and verify the correctness of the design.

Collaborate with designers, verification specialists to accomplish your tasks.

Develop training sessions.

We are in search of a Senior Software Architect- a creative, forward-thinking, and practical researcher to improve the framework for widespread LLM learning and prediction. As part of our dynamic E2E Architecture group, you will design and optimize systems driving generative AI workloads, working at the intersection of software and hardware on some of the most advanced GPU clusters worldwide. You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and compute scheduling to system-level optimization. This is an opportunity to collaborate with best-in-class engineers and researchers and shape the future of generative AI in real-world applications. Your work will make a lasting impact by enabling generative AI technologies to reach real-world applications and improve global computing capabilities.

What Youll Be Doing:

Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, and placement.

Analyze current deployments, develop prototypes, and recommend architectural improvements.

Stay abreast of the latest research; become the teams authority in emerging networking techniques and technologies.

Design, simulate, and validate new systems using novel, scalable network simulator NSX.

Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1).

Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features.

Publish patents and present research at leading conferences.

We are looking for best-in-class STA Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.


What you will be doing:

STA analysis of blocks/top-level according to specifications under challenging constraints targeting for the best power, area, and performance.

Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems.

Daily work involves all aspects of static timing analysis - constraints, environment, models generation and timing ECO generation for block level and full chip level.

Taking part inflows development.

We have been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. Youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are in need of skilled engineers to join our autonomous driving team to invent, execute, and deploy pioneering end-to-end autonomous driving systems. Our strategy has progressed from AI 1.0 constructing a driver from the ground up to AI 2.0 training an intelligent agent to drive. This is achieved by developing LLMs, VLMs, and VLAs to offer exceptional reasoning, planning capabilities, and interaction with the driving system for autonomous driving and general robotics. Lets innovate the future of autonomytogether!

What you will be doing:

Build and train innovative large-scale modelsincluding generative, imitation, and reinforcement learningto improve the planning and reasoning capabilities of our driving systems.

Explore novel data generation and collection strategies to improve diversity and quality of training datasets. Develop, pre-train, and optimize LLM/VLM/VLA models for autonomous driving and robotics applications.

Collaborate cross-functionally to deploy and integrate AI models into vehicle firmware.

Deliver production-quality, safety-critical software that meets performance, safety, and reliability standards.