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We are looking for an experienced and tech-passionate Java Team Lead to guide a distributed development team (Israel and global sites), serving as our local managerial and technological anchor. In this role, you will report directly to the US-based engineering leadership, blending technological, leadership, significant hands-on work, and personal management of developers.
You will lead the development of our core product services, maintaining constant synchronization with the US and working closely with various stakeholders across the organization (Product, QA, DevOps) in a fast-paced Agile environment.
Key Responsibilities:
End to end ownership for a product line development, from designing the engineering solution, through development, code review, production deployment to rollout and monitoring.
Manage a strong team of developers both frontend and backend.
Solve real world business problems using engineering approaches.
Work closely with the product managers to define and timeline solution.
Recruit top talent developers for your team.
Be 40% hands-on development as part of the team.
Contribute to the engineering culture and methodologies.

We are a hyper-growth company, and our development team is hiring talented and experienced Backend Engineers to design and develop end-to-end major features and new services.
Responsibilities:
Work closely with the founding team and product managers.
Support the availability of our service, participate in the on-call shifts.
Innovate, Lear, and Teach.

Were looking for a AI Solutions Junior Engineer who thrives at the intersection of data, product, and client impact. In this role, youll take full ownership of delivering and evolving AI based data solutions for our customers - blending deep analytical skills with strong communication and product intuition. If youre excited by semantic models, data analysis, and helping clients leverage data to inform business decisions, this role is for you.
What Youll Do:
Work with AI-generated semantic models, editing them and optimizing them to drive actionable insights.
Work directly with customer stakeholders to deeply understand business needs, use cases, and their data environment.
Own the technical solution end-to-end, including model refinement, tuning and verification, ensuring data accuracy and consistency.
Collaborate with R&D, Sales and Product to surface insights, resolve blockers, and influence product enhancements.
Translate business questions into analytical solutions constantly pursuing optimization, efficiency and automation opportunities.
Work with client stakeholders to provide training and enablement support.

Required Solution Expert
Description
A leading provider of sales engagement and revenue optimization solutions, empowering businesses to streamline their sales processes and drive growth. As a company that advocates a customer-first approach, we're known for our professional Success team and are hiring a Solution Expert.
As a Solution Expert you will act as the technical trusted advisor for the customer and be responsible for building the solution and leading the onboarding process through implementation, configuration, and integrations.
You will also be responsible for configuring the software, answering questions, leading technical sessions and ensuring the client is satisfied with the solution. You'll work closely with Customer Success, Support, and Product teams, and will be the go-to person for any technical solutions. It's a great opportunity for those who are thrilled by the combination of customer-facing and technical and logical processes.

We are seeking a motivated MSc student to join our R&D team as a Machine Learning Engineer focusing on medical image processing (CT, MRI). In this role, you will support the development and optimization of deep learning models for image segmentation and analysis, leveraging U-Net and 3D U-Net architectures.
This is a hands-on opportunity to work on real-world clinical data and contribute to next-generation solutions for diagnostic and procedural planning workflows.
How you will make an impact:
Model Development:
Assist in designing and implementing deep learning models for medical image segmentation using U-Net, 3D U-Net, and nnU-Net frameworks.
Support optimization of models for volumetric CT/MRI datasets.
Data Handling & Processing:
Develop preprocessing pipelines (normalization, augmentation, resampling).
Integration & Experimentation:
Support integration of models into research pipelines using tools like MONAI and 3D Slicer.
Run experiments, evaluate model performance, and document results.
Collaboration:
Work closely with engineers, data scientists, and clinical teams.
Participate in technical discussions and contribute ideas for improving model performance.
Research & Innovation:
Stay updated on state-of-the-art methods in medical imaging AI and segmentation.
Explore improvements in model architecture and training strategies.

Were looking for a Senior Data Engineer to own high-impact data products from architecture through production deployment, monitoring, and continuous improvement. This isnt a pure infrastructure role - youll combine strong engineering with product thinking, operational excellence, and awareness of data quality, cost, and business impact.
You will design, implement, test, deploy, and maintain production-grade data products - pipelines, transformation layers, data quality and reliability systems - using tools like DBT (on Spark) and Databricks. Youll apply best practices in Python and SQL to build scalable and maintainable data transformations, and leverage technologies like LLMs and GenAI to create innovative solutions for real business problems.
This role is ideal for someone who wants technical leadership responsibilities in an AI-first engineering culture - we use LLMs, GenAI, and AI-native development tools as core parts of our daily workflow.
Key Responsibilities
Act as a technical leader within the team - raise engineering standards, drive strong architectural choices, and improve how we build
Own data products end-to-end: design, development, deployment, monitoring, and iteration
Work closely with senior leadership to translate strategic goals into scalable data solutions
Develop and maintain production ETL/ELT pipelines using DBT (on Spark) and orchestrated workflows in Databricks
Build monitoring, alerting, and testing pipelines to ensure reliability and performance in production
Evaluate and introduce new technologies - including AI-native development tools - and integrate the ones that create real impact
Collaborate with customers and external data providers - gathering requirements and making product decisions.
Mentor team members through code reviews, pairing, and knowledge sharing

We are seeking an experienced RF Systems Engineer to lead the RF domain within the hardware team, for the development of advanced communication systems.
This role includes full professional ownership of RF and antenna domains across the company- from architecture definition, through hands-on development and testing, to integration and technological leadership.
This is a key position with deep involvement in hands-on development, intended for an engineer with extensive practical experience, strong technical leadership skills, and attention to detail.
Job Description:
Professional leadership of the RF domain within the hardware team
Hands-on design and development of RF systems for advanced communication systems
Design, simulation, and optimization of antennas and antenna arrays
Definition of RF architecture and communication chains
Integration, calibration, RF testing, and hands-on troubleshooting in the lab
Daily work with advanced RF equipment, including measurements and performance analysis
End-to-end responsibility for RF system performance
Cross-functional work with hardware, software, mechanical, and algorithm teams
Technological leadership and professional support for development teams
Work with vendors and subcontractors in RF and antenna domains.

We are seeking a Platform Engineering Group Lead to strengthen our platform and operational engineering capabilities and ensure the company has a secure, reliable, and scalable foundation for product delivery and operations. This role drives execution, raises engineering standards, and improves consistency across deployment, infrastructure, and operational practices in support of product delivery, customer environments, and internal platforms. The role partners closely with R&D, QA, IT stakeholders, and PS/CS to enable consistent deployments through standards, reference architectures, and high-quality installation documentation.
Your key responsibilities will be:
Lead the Platform Engineering group, including people leadership, prioritization, execution management, and cross-functional coordination, and establish an effective operating cadence for a small, high-impact organization.
Build scalable operating models, ownership boundaries, and execution discipline across platform, deployment, and operational engineering activities.
Drive automation and deployment engineering outcomes across CI/CD, release readiness, environment provisioning, and delivery tooling, with a strong focus on reducing manual steps and operational risk.
Own deployment readiness across internal and customer-facing environments, including staging deployments, validation steps, installation packages, and deployment runbooks, to support consistent and repeatable implementations.
Ensure effective internal infrastructure and workplace technology operations, including service levels, escalation paths, operational hygiene, endpoint lifecycle, backups, and core office/server-room infrastructure.
Drive security and compliance readiness within the groups scope, including operational controls implementation, remediation tracking, evidence discipline, and coordination with external cybersecurity partners and internal security stakeholders.
Establish engineering standards and technical guardrails across infrastructure-as-code, change management, observability, access controls, and backup/restore verification.
Lead incident management across platform, infrastructure, and internal technology services, including issue assessment, prioritization, escalation, incident reviews, and corrective actions to improve reliability over time.
Define and improve deployment patterns, reference architectures, and environment recommendations based on customer constraints and operational requirements to support successful PS/CS engagements.

We are looking for a talented and passionate Full Stack Software Engineer to join our growing R&D team and help build next-generation data and AI-driven products.
In this role, you will take part in designing and developing scalable, high-performance web applications while working with modern technologies, advanced development methodologies, and cloud-native architectures. You will collaborate closely with Product, UX, QA, and fellow engineers to deliver exceptional user experiences and innovative solutions.
If you enjoy solving complex technical challenges, exploring new technologies, and working in a fast-paced environment where your impact is significant, wed love to meet you.
What Youll Do
Design and develop modern, scalable web applications from end to end.
Build robust backend services and APIs using modern server-side technologies.
Develop rich, responsive, and high-performance frontend applications.
Translate product and UX requirements into clean, maintainable, production-grade code.
Participate in architecture and technical design discussions.
Work with AI-powered technologies and modern data platforms.
Collaborate closely with Product Managers, UX Designers, QA Engineers, and other developers in an agile environment.
Continuously improve code quality, development processes, and engineering standards.
Explore and adopt new technologies, tools, and development approaches.
Who You Are
A fast learner who quickly adapts to new technologies and challenges.
Curious, innovative, and passionate about technology.
A team player who enjoys brainstorming and collaborative problem-solving.
Comfortable working with both modern and legacy systems.
Motivated to create impactful products with a great user experience.
Someone who thinks outside the box and brings creative solutions to complex challenges.

Required Product Manager - Storage Networking Platform
The Role
This is a rare opportunity to:
Have a direct impact on AI performance and GPU efficiency at scale
Combine deep technical thinking with product ownership
Own product decisions that influence real-world system behavior
As a Product Manager, you will define how next-generation AI workloads interact with high-performance storage and networking systems.
This is a deep-tech product role at the core of our platform, where your decisions directly impact performance, scalability, and efficiency across large-scale AI environments.
Youll operate at the intersection of product, distributed systems, and hardware-aware infrastructure - shaping how modern data platforms are built and optimized.
What You'll Do:
Define and execute product strategy for our platform and infrastructure layer
Own the product roadmap - balancing innovation, performance, and customer needs
Work closely with engineering to design and deliver high-performance capabilities
Translate complex technical challenges into clear product decisions and priorities
Partner with customers and internal teams to understand real-world use cases and constraints
Stay ahead of trends in storage, networking, and distributed systems
Collaborate with top engineers, architects, and customers solving cutting-edge challenges.

Required Software Engineer - Verification and Reliability
The Mission
We are building NeuralMesh- the worlds first intelligent, adaptive mesh storage system. To ensure our platform is unbreakable for the worlds largest AI and GPU clusters, we don't just "test" our code. We build an adversarial distributed system as complex and sophisticated as the product itself.
We are moving away from traditional QA automation. We are building a high-octane engineering force that treats reliability as a high-end software problem. We need "Quality Hackers" who want to build the technology that proves bugs don't exist.
In this role as a Software Engineer in Test (SET), you are a developer first. You will join a high-impact team of engineers who write production-grade code to build a massive-scale validation ecosystem. Your job is to act as "The Breaker"-designing the infrastructure, chaos experiments, and AI-driven tools that push our platform to its theoretical limits.
What Youll Build:
Adversarial Engineering: Design and implement Python-based distributed frameworks capable of orchestrating millions of concurrent IO operations to hunt down race conditions and memory leaks.
AI-Augmented Validation: Be at the forefront of the AI-Native transformation. You will leverage LLMs and Generative AI to automate complex scenario generation, build intelligent agents for root-cause analysis, and multiply your engineering velocity.
Simulation & Chaos: Build the "Entropy Engine." You will develop tools that inject real-world failures - latency, packet loss, and hardware crashes - to prove the resilience of our Raft and RDMA implementations.
Deep-System Observability: Move beyond "Pass/Fail." You will build telemetry pipelines to track P99 latency and jitter, providing critical architectural feedback to the Core Kernel teams.
Collaborative Architecture: You will operate with the same rigorous standards as the Core R&D team: design docs, production-grade code reviews, and high-level architectural planning.

We are looking for a hands-on, business-minded AI Engineer to join our Data & AI Team.
This role is for someone who has already built and shipped real AI products in a company environment. You will work as an integral part of the Data & AI Team, partnering directly with business stakeholders to identify high-impact opportunities, translate business needs into technical solutions, and build AI products that automate internal processes and create immediate value.
The ideal candidate is a builder. You should be comfortable working with LLMs, AI agents, automation workflows, APIs, data pipelines, data warehouses, and internal company systems. You should also be comfortable taking ownership, asking sharp business questions, and moving ideas from concept to production.
Our Data Team has already built internal AI products at our company. Now we are looking for someone who can help take us to the next level.
What Were Looking For
The right person has built with AI in a real company environment and knows how to turn business needs into practical internal products. They should be comfortable working with stakeholders, understanding how teams operate, and identifying where AI can create meaningful value.
Because this role sits inside the Data & AI Team, they also need to be strong with data. That means working confidently with company data, data warehouses, pipelines, APIs, and the technical building blocks that make AI products reliable and useful.
This role is for someone hands-on, curious, and hungry to build. Someone who can combine AI, data, and business context to help us move faster, automate smarter, and turn ideas into measurable business wins.
What Youll Do
Build end-to-end internal AI products, automations, agents, and workflows that solve real business problems across our company.
Work directly with business stakeholders to understand pain points, define requirements, and turn ideas into scalable AI-driven solutions.
Design, prototype, test, deploy, and maintain production AI products using LLMs, AI agents, APIs, automation frameworks, and internal company data.
Work hands-on with data tools and infrastructure, including Snowflake, ETLs, data pipelines, APIs, AI tools, and internal servers.
Identify high-impact manual processes and turn them into automated AI-driven business wins.
Evaluate new AI tools, frameworks, and agentic workflows, and apply them where they can improve productivity, decision-making, or business operations.
Help shape internal AI development best practices around reliability, usability, security, documentation, maintainability, and production readiness.

Required Senior Software Engineer, Filesystem
What you'll be doing:
The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the solution - our customers data.
As a Senior Software Engineer, youll:
Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
Participate in the design, architecture, and implementation of next-generation storage architecture;
Assist in technically managing initial storage implementations including proofs-of-concept;
Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance;
Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

Required Senior Software Engineer, Control
As a Senior Software Engineer, youll:
You will be responsible for building the "brain" of our main product, which is a distributed file system -the layer that manages orchestration, metadata, cluster membership, and implements complex logic required to manage hundreds of thousands of nodes, for cluster scaling, automated failover, zero-downtime rolling upgrades and "self-healing" to detect and remediate hardware failures or network partitions.
Design, implement, unit test, and maintain services that coordinate and the cluster
Optimize Performance: Work with complex data structures like spanning trees or LSM-Trees, concurrency control mechanisms (MVCC) to improve speed and efficiency.
Collaborate closely with cross-functional teams to translate backend capabilities into real-world impact.