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Required Field Application Engineer - AI Accelerators
In this position:
You will serve as the primary technical interface between us and our customers for our AI accelerator product line and future accelerator platforms. You will support customers through the full product lifecycle - from pre-sale technical engagement and proof-of-concept development through production deployment and ongoing field support. You will work hand-in-hand with R&D to investigate and resolve complex issues, develop reference applications and demos, and act as a trusted technical advisor to both customers and internal teams.
Responsibilities
Develop a comprehensive understanding of each customers use case, system architecture, and integration requirements, serving as their primary technical point of contact for all accelerator-related topics.
Provide deep technical support across the accelerator portfolio, including the Dataflow Compiler, model compilation, and runtime integration.
Reproduce, investigate, and drive resolution of complex hardware and software issues in close collaboration with R&D, spanning PCIe integration, driver-level debugging, inference pipeline optimization, and power management.
Lead technical alignment with customers - clearly communicating issue status, setting expectations, coordinating across internal teams, and ensuring customer satisfaction.
Design and implement customer-facing demo and reference applications in C/C++, showcasing accelerator capabilities at major industry events such as CES and other trade shows.
Support pre-sale technical activities including solution scoping, feasibility assessments, and technical presentations to prospective customers.
Provide knowledge transfer and technical enablement to FAEs and partners to scale field support effectiveness.
Collaborate closely with R&D, Product, and Business teams to translate customer needs into actionable product requirements and roadmap input.

Required Embedded User Space Engineer
Description
We are a leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our teams expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.
Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.
To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, we are leading the edge AI revolution.
In this position:
As a team member in our Media Pipeline team, you will be responsible for developing a C++ open-source framework and applications for our top-of-the-line AI-Vision processor. You will be working on a production-grade framework that enables Vision pipelines for our customers in multiple industries, such as security, automotive, retail and more.
If you are passionate about working with a large-scale SW and youre excited about AI, we want to meet you!
In this role, you will have a direct impact on our products.
Responsibilities
Help build and develop our best-in-class Edge AI SoC, developing an open-source, production-grade framework for the media pipeline
Work in different SW environments: C++, Python, C
Work closely with Software architects and the Machine Learning group, integrating and debugging complex software systems while taking into account challenging requirements as part of managing a large-scale embedded system.

Required CI and Automation Engineer
About the position
As a CI and Automation Engineer leading our Release efforts, you will bridge the gap between pure DevOps/Automation and the final delivery of our AI software stack. You wont just be building pipelines; you will be the technical owner of the release cycle, architecting the automation and branching strategies that ensure our firmware and software are production-ready.
You will act as the Technical Gatekeeper, using your deep-dive coding skills in Python and Bash to build the infrastructure of trust that powers our releases. This role is for a hands-on engineer who wants the strategic responsibility of making the Go/No-Go call based on the very automation they have built. If you are passionate about CI/CD excellence and want to see your code directly impact the delivery of world-class AI hardware, this is the role for you.
Responsibilities:
Release Ownership: Lead the technical execution of release cycles, acting as the primary authority and Gatekeeper for software and firmware delivery.
CI/CD Engineering: Design, implement, and maintain robust CI pipelines (e.g., Jenkins, Bitbucket) tailored for release stability and automated validation.
Hands-on Automation: Develop and maintain tools and scripts (Python, Bash) to automate the entire release flow-from versioning and branching to automated reporting.
Technical Triage: Deep-dive into build failures and integration issues. Analyze logs and code changes to make data-driven Go/No-Go decisions.
Branching Strategy: Define and manage complex Git strategies to ensure smooth integration across multiple versions and hardware targets.
Visibility & Reporting: Provide real-time visibility into release health and quality metrics through dashboards and automated status reports.

We bring people together in immersive, face-to-face experiences like never before.
Join a team of passionate, creative developers working on products that push the boundaries of the gaming industry.
*We work on site- not hybrid (located in Tel-Aviv)*
Responsibilities
Design, plan, and implement clean, scalable, high-performance features from specification to production
Take full ownership of features-from concept and architecture to delivery and live operations
Collaborate closely with backend, tech art, QA, product, data, and other cross-functional teams
Continuously improve code quality, performance, and development workflows
Maintain and evolve existing systems, including refactoring and optimization
Conduct code reviews and contribute to internal best practices and Unity knowledge sharing

Required Application Engineer
Description
In this position, you will engage in pre-sale technical activities while supporting our existing customers.
You will respond to technical inquiries, reproduce and investigate complex issues across a wide range of domains in close collaboration with the R&D team, and drive effective resolutions. You will design and implement customer-facing demo and reference applications in C++, develop AI applications that showcase our products capabilities at major industry events such as CES and other trade shows, and provide knowledge transfer to our FAEs to strengthen field enablement and customer success.
Responsibilities
Understand the customers technical use case for our technology and the customers system comprehensively.
Develop a comprehensive understanding of each customers technical use case and system architecture, leveraging this knowledge to effectively support R&D in analyzing and resolving issues.
Serve as a subject matter expert on our VPU product, maintaining deep knowledge of product features and the roadmap in order to support FAEs and Tier-1 customers.
Lead technical alignment processes with customers by clearly communicating status, addressing questions and requests, and coordinating responsibilities across the company.
Master our technical messaging to effectively support business development and sales activities.
Design and implement demo applications when needed and occasionally participate onsite in customer demos or engagements.
Collaborate closely with R&D, Product, and Business teams to achieve key business milestones and drive new product requirements based on customer needs.
We are passionate about building an inclusive and equitable working environment.
We promote a flexible work environment that encourages work-life balance.
If you dont meet 100% of the requirements- no worries!

Required Accelerator - Application Engineer
Description
A leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our teams expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.
Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.
To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, we are leading the edge AI revolution.
In this position
In this role, you would work very closely with both customers and internal teams. On the technical side, you would build demos and reference applications in C++, Python, and GStreamer, helping showcase and enable different AI use cases, including vision AI and generative AI.
You would also support customers as they evaluate and deploy our technology, helping them optimize models, integrate with our accelerator stack, and troubleshoot issues. Internally, the role acts as a bridge between customers, R&D, product, and business teams to make sure technical requirements and feedback are clearly communicated.
Responsibilities
Design and develop end-to-end demo and reference applications in C++, Python, and GStreamer for Vision AI and GenAI use cases.
Own deep technical expertise across the accelerator stack, including Dataflow Compiler, runtime, model quantization, performance optimization, and roadmap direction.
Support deployment and optimization of deep learning models, including transformer-based and generative models.
Lead technical alignment processes with customers from evaluation through deployment.
Act as primary technical focal point for selected strategic accounts.
Provide structured and high-quality pre-sales and post-sales technical support.
Drive issue resolution across Customer Success and R&D, ensuring clear ownership and follow-up.
Translate business needs into technical requirements and collaborate with Product to influence roadmap decisions.
Ensure excellent response time and support quality for customer escalations.
Define best practices, documentation, and internal workflows for application engineering.

Join our group of DevOps engineers, where we address large-scale challenges and drive innovation through cross-organizational projects. We design scalable and resilient solutions, implement cutting-edge technologies, and optimize automation to enhance reliability and efficiency.
Our team establishes best practices, creates guidelines, and promotes a strong DevOps culture across R&D. Design, implement, and operate large-scale, complex environments, ensuring high availability, seamless scalability, and optimal performance across diverse systems.
Job Responsibilities:
Lead and contribute to cross-organization DevOps projects.
Establish and enforce best practices for DevOps and R&D teams.
Research and evaluate new tools, technologies, and methodologies to improve DevOps processes.
Develop and maintain scalable and resilient infrastructure solutions.
Build and optimize CI/CD pipelines and deployment strategies.
Work closely with R&D teams to enhance service reliability, scalability, and performance.
Responsible for Kubernetes multi-cluster lifecycle management.

Join our group of DevOps engineers, where we address large-scale challenges and drive innovation through cross-organizational projects. We design scalable and resilient solutions, implement cutting-edge technologies, and optimize automation to enhance reliability and efficiency.
Our team establishes best practices, creates guidelines, and promotes a strong DevOps culture across R&D. Design, implement, and operate large-scale, complex environments, ensuring high availability, seamless scalability, and optimal performance across diverse systems.
Job Responsibilities:
Lead and contribute to cross-organization DevOps projects.
Establish and enforce best practices for DevOps and R&D teams.
Research and evaluate new tools, technologies, and methodologies to improve DevOps processes.
Develop and maintain scalable and resilient infrastructure solutions.
Build and optimize CI/CD pipelines and deployment strategies.
Work closely with R&D teams to enhance service reliability, scalability, and performance.
Responsible for Kubernetes multi-cluster lifecycle management.

You don't need a traditional technology background to succeed here. What we're looking for is someone who is genuinely passionate about AI, technically sharp, and capable of owning complex projects end to end. The technology operations side of the role is learnable; the drive, curiosity, and communication skills are not.
You'll be the person who shapes how uses AI internally, builds the systems that keep our technology running smoothly, and ensures our security and compliance obligations are met on time.
Responsibilities:
Gen-AI & Intelligent Tools
You'll own this from day one. we are actively building AI into how every team operates, and you'll be the person making that happen.
Continuously explore the generative AI landscape and bring forward clear, well-reasoned recommendations on what should adopt
Lead the full lifecycle of AI tool rollouts, from identifying the right solution, building the business case, managing the rollout, and driving adoption across teams
Build and automate workflows using AI and no-code/low-code tools that remove friction and free up people to focus on higher-value work
Become the internal go-to for anything AI related, running training sessions, writing guides, and helping teams get practical results from the tools they use
Track and report on the ROI and adoption of deployed tools, and adjust course when something isn't working
Stay obsessively current on what's happening in AI, new models, new agent frameworks, new use cases, and translate that knowledge into concrete action
Technology Operations
Take ownership of internal technology stack, including devices, software, user accounts, and day-to-day support
Manage employee onboarding and offboarding from a technology perspective
Keep SaaS tools, licenses, and vendor relationships organized and up to date
Maintain clear documentation so nothing lives only in your head
Security & Compliance
Keep ISO certification requirements on track by managing audit schedules, documentation, and coordinating evidence collection across departments
Drive SOC 2 readiness by maintaining the evidence library (access reviews, training records, change management logs) and supporting auditor visits
Vet new suppliers before onboarding by collecting security documentation, ensuring agreements are signed, and keeping the vendor register current

Were looking for an Applied Data Scientist to join one of our product squads. Youll design, build, and deploy data-driven solutions that combine machine learning, statistical methods, and SQL/rules-based decision logic to power autonomous supply chain intelligence platform. Youll work closely with data science, engineering, product, and supply chain experts and own solutions end-to-end-from problem definition to production monitoring and iteration.
Responsibilities:
Deliver data science solutions end-to-end within a product squad: problem framing → data prep/labeling → modeling → deployment support → monitoring → iteration
Build, train, and improve ML models for supply chain use cases (e.g., inventory risk prediction, demand anomalies, root-cause analysis)
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis and document learnings
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement hybrid decision logic by combining ML outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of performance
Collaborate with software engineers to productionize solutions (batch and/or real-time), including testing, logging, and basic monitoring
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking

we are looking for a Senior Data Engineer.
As a Senior Data Engineer, you will be helping us design and build a flexible and scalable system that will allow our business to move fast and innovate. You will be expected to show ownership and responsibility for the code you write, but it doesn't stop there. you are encouraged to think big and help out in other areas as well.
Responsibilities:
Designing and writing code that is critical for business growth
Mastering scalability and enterprise-grade SAAS product implementation
Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
Building and owning production-grade ETL/ELT pipelines that power analytics, ML training, and real-time AI systems
Designing data architectures that support agentic systems, including:
Embeddings and vector-based retrieval
RAG pipelines
Feedback loops and continuous improvement
Review your peer's design and code
Work closely with product managers, peer engineers, and business stakeholders

We are looking for a hands-on, strategic Business Application Manager with a proactive, ownership-driven mindset. Someone who takes initiative, thinks beyond the immediate task, and translates data into real business impact. This role requires a unique mix of systems expertise, project management, and analytical skills. Youll not only implement and optimize our platforms but also analyze ROI, create data-driven case studies, and help leadership make informed decisions.
Reporting to the VP of Customer Success, youll work cross-functionally with Sales, Marketing, Finance, Procurement, and Operations to ensure the company has the right tools, workflows, and insights to scale effectively.
This is part project manager, part systems owner, and part business analyst. Youll lead end-to-end implementations, integrate platforms like Salesforce, Intercom, Quicksight, create dashboards and reports, and drive process optimization across the business.

Required Senior Full Stack Developer
About The Position
We built a platform that builds businesses. From launching and managing to growing a business, we are the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses
Our Guidance Engine assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard.
Through our business-building platform, were turning the process of starting, managing, and growing a business into a better experience; were simplifying the business journey.
We believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business.
We Need You!
Our developers take full ownership across the stack - from ideation and architecture to deployment, observability, and maintenance. Youll craft seamless user experiences, build scalable backend systems, and help shape how AI integrates into our engineering workflows and product development.In our full CI/CD environment, youll work closely with a passionate team, leveraging modern technologies and AI-driven tooling to accelerate development, automate repetitive tasks, and deliver high-quality, high-impact solutions that empower millions of small businesses worldwide.
Key Responsibilities:
Collaborate with product managers, designers, and fellow engineers to bring ideas to life.
Build next-generation web applications focused on user experience and scale.
Create efficient and reusable front-end abstractions and systems, while adopting AI-powered tools that accelerate UI development (e.g., Figma-to-code generation).
Craft secure, scalable, and maintainable backend services, and contribute to decisions around how AI/MCP capabilities are exposed across microservices.
Lead architecture design, implementation, and monitoring of solutions.
Perform code reviews, drive engineering best practices, and help the team adopt AI tools that boost productivity and improve developer experience.
Champion modern technologies - including AI integrations, MCP patterns, observability, and automation - to push our engineering organization forward.

We are looking for an experienced VP R&D to lead our technology unit and drive the next evolution of our platform and engineering capabilities.
This role will lead multidisciplinary teams across Engineering, Product, Data, Infrastructure, and IT, overseeing the development and operation of our technology platform while driving major initiatives including architectural modernization and AI adoption.
As a member of the executive leadership team, you will work closely with senior leadership to align technology strategy with company goals and support the companys continued global growth. This role is reporting to the CEO of the company
Responsibilities
Technology Strategy & Architecture
Define and lead the long-term technology strategy for the companys platform and digital products
Drive the evolution of scalable, modular, and distributed architectures
Ownership of the product roadmap and close collaboration with business stakeholders to define product priorities and requirements
Ensure high standards of reliability, performance, scalability, and security
AI & Data Transformation
Lead the adoption of AI capabilities across products, workflows, and internal systems
Oversee cloud infrastructure, DevOps, security, and internal systems
Drive improvements in automation, observability, and operational excellence
Technology Environment
Our technology stack includes modern cloud infrastructure and distributed systems, including AWS, Microservices and modern backend/frontend platforms, Data pipelines and analytics platforms, AI and machine learning technologies
Why Join
Lead a large-scale global technology platform
Drive the next generation of AI-powered products
Shape the architecture and future of a growing technology organization
Work closely with executive leadership and have significant strategic impact.

We are seeking a hands-on, self-driven Product Operations Specialist to join our Product team, reporting to the Director of Product. This is an ownership role. You will be directly accountable for the operational health of the product organization - its processes, systems, and cross-functional coordination. You'll regularly get exposure to new tools and domains - and we expect you to embrace that, not shy away from it. If you wait to be told what to do, this isn't the role for you.
Responsibilities
Own product team operations end-to-end: intake, sprint ops, and release management.
Actively contribute to internal operational systems and platforms - propose improvements, participate in builds, and help shape how the team works.
Coordinate across Product, R&D, Marketing, and CX. Surface misalignments early. Resolve what you can before escalating.
Track action items, blockers, and risks across squads. Keep things moving.
Maintain clear, accurate product documentation - status reports, roadmap updates, process guides.
Spot inefficiencies. Fix them. Measure whether the fix worked.
Use AI tools to accelerate your own work - research, documentation, analysis, automation. Be curious about what's possible.
Help teammates when you see a gap - even when it's not in your scope.