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We are seeking a Senior Software Engineer with a strong foundation in backend engineering and experience building scalable, high-performance systems.
This role focuses on designing and developing backend services that power our **AI-driven products**, with extensive work on **Large Language Models (LLMs), AI agents, and modern GenAI technologies**.
We foster a professional environment where experienced engineers collaborate to drive technical excellence and continuously improve our architecture and products. As a Senior Software Engineer, you will play a key role in building production-grade AI systems, solving complex engineering challenges around scalability, performance, reliability, and AI orchestration.
Role & Responsibilities:
* Design, develop, and optimize scalable backend services and APIs that power AI-driven products.
* Build production-grade applications and workflows using **LLMs, AI agents, and GenAI technologies**.
* Design and implement agentic workflows, including **tool calling, orchestration, context management, and integration with internal services**.
* Integrate and optimize LLM-based capabilities while balancing **quality, latency, reliability, and cost**.
* Design and maintain scalable, reliable, and high-performance distributed systems.
* Take ownership of technical solutions from design and implementation through deployment and production monitoring.
* Improve system architecture, observability, code quality, and development processes.
* Collaborate with Product, DevOps, and other engineering teams to deliver end-to-end solutions.
* Stay up to date with advancements in backend technologies and the rapidly evolving GenAI ecosystem.

We are seeking an experienced Lead Software Engineer (Backend & AI) to drive the design, development, and scaling of advanced backend systems and AI-powered solutions.
In this role, you will combine deep backend engineering expertise with strong AI understanding, leading a team to deliver high-performance, data-driven products. You will play a key role in shaping system architecture, integrating AI capabilities, and ensuring production-grade reliability at scale.
Key Responsibilities:
*Technical Leadership*
Lead the architecture and development of scalable backend systems and APIs
Design and implement AI-driven features, including AI model integration and inference pipelines
Define and enforce best practices for distributed systems, data processing, and system reliability
Own end-to-end system design, including performance, scalability, and security
*AI & Data Engineering*
Collaborate with data scientists/AI engineers to deploy, optimize, and monitor AI models in production
Build and maintain data pipelines and infrastructure supporting AI workloads
Ensure efficient model serving, versioning, and lifecycle management
Optimize performance of AI components (latency, cost, scalability)
*Team Leadership & Mentorship*
Lead, mentor, and grow a team of backend and/or full-stack engineers
Foster a strong engineering culture aligned with Israeli tech ecosystem standards (ownership, fast iteration, innovation)
Conduct code reviews and provide technical guidance
*Delivery & Execution*
Partner with Product, Data, and Business teams to define technical solutions
Drive end-to-end delivery of complex projects in a fast-paced environment
Break down ambiguous problems into actionable plans
Ensure timely and high-quality releases
Cross-Functional Collaboration
Work closely with AI teams, DevOps, Architects and Product
Translate business needs into robust technical solutions
Communicate complex technical topics to non-technical stakeholders

We are seeking a Priority ERP Project Manager! We are looking for an experienced Priority ERP Project Manager to lead end-to-end implementation projects from initiation, characterization, and configuration through deployment and Go-Live. In this role, you will analyze business needs, design tailored system solutions, and bridge the gap between development teams, key stakeholders, and executive management.
Responsibilities:
* Lead end-to-end implementation projects for Priority ERP, overseeing full project lifecycles from characterization to post-implementation support.
* Analyze business requirements, map operational workflows, and draft clear functional specification and characterization documents (SOW/BRD).
* Perform hands-on application, configuration, and implementation of solutions within Priority ERP according to defined business requirements.
* Coordinate cross-functionally between R&D/development teams, end-users, and management to ensure aligned delivery.
* Manage timelines, resources, task prioritization, and project milestones while proactively identifying and escalating bottlenecks.
* Track task progress, mitigate risks, and generate detailed status reports for key stakeholders.

We are looking for a Backend developer to join our engineering team, taking a key role in designing and scaling both our core data collection systems and our high-throughput ingestion pipelines.

What Youll be Doing:
Develop, scale, and maintain the collection systems and high-throughput ingestion architecture.
Design and implement robust backend services, microservices, and feature enhancements using both Java and Python.
Build and optimize scalable data pipelines handling massive volumes of data from various sources through to downstream storage and indexing.
Troubleshoot, monitor, and test core product software, message brokers, and distributed databases to ensure healthy functionality, identify bugs, and ensure proactive resolution.
Implement architectural optimizations to enhance system efficiency, low latency, reliability, and scalability across multi-cloud environments.
Collaborate with cross-functional teams to define requirements, design resilient system architectures, and deliver high-impact production solutions.

We are seeking a highly skilled and experienced Senior DevOps Engineer to join our team in a leadership capacity. You'll work with and support the engineering teams to build and maintain the development and deployment infrastructure. You'll be part of building highly automated and scalable systems, working in a highly motivated and skilled team.

Responsibilities
Continuously improve DevOps tools, processes, and procedures.
Build, maintain, and scale infrastructure for Production and Staging environments.
Deploy, manage, and support our environments, including troubleshooting incidents.
Design automation frameworks, tools, and systems for continuous integration and continuous deployment, ensuring fast-paced software delivery into Staging and Production environments.
Collaborate closely with Development teams to ensure end-to-end quality.
Stay up-to-date with new technologies, architect and implement new solutions for infrastructure automation.
Bring innovative ideas and solve complex technology problems.

We are seeking a talented Technical Program manager to join our software group. In this high-visibility, hands-on role, you will drive forward the development of our software platform by defining the product and technical direction.

Responsibilities
Collaborate with other team leaders to establish the product and technical vision for the software group.
Lead the planning, development and implementation process of cross-functional teams focused on delivering cutting-edge technology and products.
Oversee project monitoring, reporting, and risk management, from initiation to delivery, addressing intergroup dependencies to ensure timely and successful completion.
Lead process and methodology improvements, proactively addressing issues to achieve business goals.
Help define our next-generation product roadmap and New Product Introduction (NPI) process.

we are seeking for an experienced Lead ATE Development Engineer to take ownership of the end-to-end design and implementation of test solutions for airborne systems and electronic assemblies. In this role, you will define the testing strategy, develop advanced test equipment, and integrate test capabilities across development, integration, and manufacturing processes.
Job Description:
Lead the design and development of Automated Test Equipment (ATE) for electronic boards, assemblies, and airborne systems.
Define test architectures, requirements, interfaces, and test coverage methodologies.
Design and integrate hardware, wiring, measurement equipment, simulators, and test software.
Develop engineering specifications, test procedures, operating instructions, and technical documentation.
Perform verification and validation activities, troubleshoot failures, and improve diagnostic capabilities.
Promote Design for Testability (DFT) practices in collaboration with hardware, software, and system engineering teams.
Support the transition of test systems from development to production and assist with qualification and acceptance testing.
Manage technical interactions with suppliers and subcontractors.

We are is looking for a talented Code Generation and Optimization Expert. We are looking for a self- , independent engineer to join the team that builds the software infrastructure for accelerating the system in large scale compute environments like data centers and HPC using new CPU core technology. Working on the cutting edge and future ready systems. We work in a development culture that is diverse, flexible and challenging. For persons looking to make an impact and influence the future of computing with personal growth options.

The CodeGen team is developing core components in the automated optimization process that adapts our unique hardware architecture to run any HPC & AI applications, with little to no code modifications required. By using iterative rounds of telemetry and optimization, our compiler is able to intelligently adapt our accelerator into a workload-specific ASIC, at runtime.

We are seeking a talented Code Generation and Optimization Expert to join our bleeding-edge CodeGen team in Israel. In this high-visibility, hands-on role, you will play a pivotal part in building NextSilicons next-generation runtime compiler.

Responsibilities
Design and maintain the distributed and heterogeneous executable that is generated by our compiler stack.
Using the MLIR framework, transform high level compiler outputs into hardware-specific binary images, memory mappings, execution parameters, resource allocation, region grouping, and cross-domain coordination for distributed systems.
Design and maintain the API layer (libRT.a) connecting compiler-generated code with runtime services, ensuring seamless integration across different execution domains.
Collaborate closely with hardware, architecture, verification and other compiler teams to align software with hardware requirements and behavior.

We are looking for talented networking software engineers to develop an innovative new communication stack. Were starting from the ground up, rethinking existing protocols and network accelerators while designing both hardware and software for a new low-latency compute platform. We care about results and insist on doing things right. Our engineers are not siloed into narrow areas; our ideas are cross-fertilized among teams. Our technical backgrounds are diverse and we don't have preconceived approaches or cookbooks, so come and invent! The hardware teams are just a few steps away and really like hearing our ideas. This is a unique opportunity to develop creative solutions from concept to implementation.

Responsibilities
Take part in developing a networking stack from the ground up:
Analyze customer applications and explore creative ways to accelerate them in hardware or software.
Find the best ways to process packets on our hardware platform
Participate in architecture of future NIC generations .
Develop user-space libraries and benchmarks for low-latency communication
Work closely with the hardware teams to offload key features into the next generation of products.

As the QA Engineer in the company Domains team, you'll own quality end to end for mission-critical products that directly impact our users' ability to get their businesses online - millions of domains managed across our company's global platform. The role is AI-first by design: coding agents and AI tooling are your primary instrument, automation is second, and manual testing is the deliberate third, reserved for where human judgment genuinely wins. In your day-to-day, you will:
Own the quality strategy for our company Domains end to end - what gets tested, how, and to what standard
Build AI-driven testing: use coding agents to generate, maintain and extend coverage across complex product flows at a speed manual QA can't reach
Design and grow automation as the durable backbone of that coverage, across UI, API and integration layers
Plan and execute sharp manual and exploratory testing where it counts - API testing, complex integration testing, and edge cases not covered by our test-driven development methodology
Test flows that unfold over time and reach beyond our company, across many entry points and buying paths
Think like a hacker - understand weak points in solutions and help strengthen them
Influence engineering and product directly - your findings shape architecture, release decisions and what we build next
Coordinate and collaborate on QA projects with many cross-company teams - our product is used all across our company
Set the bar: define what "good" looks like for quality in a fast-paced organization, and raise it.

As a DevOps Engineer at our company, youll play a pivotal role in our cloud infrastructure group, driving the development, optimization, and maintenance of our cloud-based infrastructure. You will:
Design, implement, and maintain high-scale production cloud infrastructure solutions for availability, performance and resilience
Implement and maintain Infrastructure as Code (IaC) practices to ensure consistency and efficiency in deployment processes
Use your expertise in Linux and networking to enhance system performance, security, and reliability
Collaborate with cross-functional teams to understand business requirements and translate them into effective cloud solutions
Troubleshoot and resolve complex issues related to cloud infrastructure and services affecting millions of users.

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on our unique hardware architecture-unlocking a new level of performance.

We are seeking a talented engineer to work on our AI software stack-specifically, the low-level optimization of AI models and kernels for our unique hardware architecture.

Responsibilities
Develop our optimized AI libraries and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.

Design, build, and maintain robust pipelines feeding both DWH and production processes
Own pipeline orchestration in Apache Airflow end to end, including DAG design, monitoring, alerting, and production reliability
Design the data models behind our core domains and the contracts that downstream consumers depend on
Partner with business analysts, PMs, and business stakeholders to translate product and business questions into stable, qualified, and well-modeled data
Work with a variety of data sources including product events, application data, APIs, operational databases, logs, and third-party systems
Debug and solve data quality, pipeline, performance, and reliability issues
Use and create AI agents and LLM-based tooling to improve development, testing, documentation, and root cause analysis
Be part of the team and adopt effective ways of using AI tools in the engineering workflow.

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on our unique hardware architecture-unlocking a new level of performance.

Our team is looking for a skilled professional to join the AI software group. In this role, you will focus on our AI kernel compilers, ensuring our hardware delivers peak optimization for sophisticated and custom AI kernels. You will work extensively with various kernel infrastructures, including Triton and CUDA, while collaborating closely with our AI graph compiler teams.

Responsibilities
Develop our AI kernel compilers and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.