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We are seeking a highly skilled and motivated Electrical Validation (EV) Engineer and System Production/Testing/ATE Engineer to join our team. This position is crucial in supporting the design EV, development, and implementation of Automated Test Equipment (ATE) and production test systems.
The Electrical Validation Manager leads the electrical validation function across our company hardware platforms. This role owns validation strategy, methodology, lab infrastructure, and execution across all high-speed and control interfaces. The manager ensures robust electrical performance from early prototypes through production release and drives cross-functional alignment between design, SI, firmware, and manufacturing.
The role involves close collaboration with R&D, Quality, DevOps, and Contract Manufacturing (CM) teams to ensure the delivery of high-quality, reliable products.
Key Responsibilities
Define the electrical validation strategy for our company hardware platforms.
Own validation methodology for: High-speed Ethernet (100M-1600G), PCIe Gen1 to Gen5+, SerDes architectures (NRZ/PAM4), Control and management buses (I2C, SPI, RS-232, MDIO, etc.)
Establish structured validation plans aligned with hardware release milestones.
Build and manage a high-performance validation team.
Define lab architecture including: Equipment selection (oscilloscopes, BERTs, analyzers), Compliance platforms, Automation frameworks, Signal integrity validation environments
Drive early engagement with board design and SI teams to ensure design-for-validation.
Oversee: Compliance (IEEE, PCI-SIG, OIF), Interoperability testing, Stress and margin testing
Lead root cause analysis of electrical failures and systemic issues.
Support NPI, manufacturing bring-up, and yield improvement.
Develop automation and scalable validation methodologies.
Define validation documentation standards and sign-off criteria.
Collaborate with system architecture and software teams to ensure HW-SW integration robustness.
Manage external labs and certification processes where required.
Drive continuous improvement of validation coverage and efficiency.
Lead the full ATE development lifecycle from requirements definition to execution in production, including GUI design and Python scripting.
Develop and maintain boundary scan applications using JTAG Technologies.
Define and maintain test fixtures, including JIGs/Bed-of-Nails, etc. in collaboration with mechanical vendors.
Implement full test traceability systems for production yield and stability monitoring.
Collaborate with R&D and Quality teams to drive product quality and reliability improvements.
Provide onsite support at CM sites, including station setup, installation, training, maintenance, and debugging.
Perform in-depth failure analysis and troubleshooting at the system and component level.
Utilize and maintain a range of test equipment, including:
Work with various communication protocols: TCP/IP, Telnet, SSH, HTTP, SNMP, SFTP, SCP, FTP, RS232, GPIB, I2C, NI-VISA.
Support testing of embedded systems running on Linux platforms.

We are seeking a highly skilled AI Application Team Lead to build and lead a team responsible for developing, running, and optimizing large-scale AI workloads on AI hardware platform. This role focuses on benchmarking state-of-the-art models (e.g., LLaMA, DeepSeek), executing MLPerf suites, analyzing system-level performance, and driving cross-stack optimizations across hardware, runtime, and software frameworks.

The ideal candidate combines strong technical depth in AI/ML systems, hands-on experience with LLM workloads, and leadership capability to guide a high-performance engineering team.

We are seeking a talented engineer to work on our AI software stack and specifically the AI graph compiler which optimizes AI models to run on our hardware architecture.

We are seeking a highly skilled and experienced Research Engineer to join our team. In this role, you will collaborate on developing innovative solutions from concept to implementation and help drive the next major revolution in the computing landscape.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

This is a high-impact technical leadership role designed for a "star" engineer who can own the entire hardware lifecycle. You will be responsible for stabilizing products from the first prototype through mass production, defining validation strategies, and managing the technical deployment of test stations at global Contract Manufacturers (CMs). You will bridge the gap between R&D, manufacturing, and field reliability to ensure world-class product quality.
Core Responsibilities
Outsourced Station & Vendor Management: Lead the design, setup, and qualification and scale-up of test stations (ICT/JTAG/FT) and debug infrastructure at CM/Outsource partners.
End-to-End Product Stabilization: Own the hardware stabilization process from the first build unit through ramp-up and transition to high-volume production.
Validation & Automation Strategy: Build comprehensive validation plans, review hardware designs for testability (DFT), and integrate automated software tests into production lines.
Advanced System Debugging: Develop hardware debug tools and methodologies to perform deep-dive failure analysis and root cause investigations on systemic issues.
Yield & Data Intelligence: Monitor and optimize yield performance using data analysis techniques to identify trends and failure modes during the NPI lifecycle.
Field & RMA Ownership: Lead technical investigations into field-deployed systems, analyzing diagnostics and telemetry to evaluate RMA claims and provide actionable engineering recommendations.
Cross-Functional Leadership: Collaborate with Mechanical NPI, Test Development, R&D, and manufacturing partners to align test requirements with business needs.
Statistical Process Control (SPC) Implementation: Establish and monitor SPC for critical manufacturing parameters to identify process "drifts" before they result in actual product failures.
Root Cause Corrective Action (RCCA): Lead the formal RCCA process for any manufacturing escapes, ensuring that the "fix" is implemented both in the hardware design and the test software.
Vendor Quality Engineering (VQE): Act as the technical quality lead for CMs and outsourced station builders, defining the "Golden Unit" standards and qualification protocols for all production lines.

We are looking for a Senior AI Engineer to join our Cybersecurity team in Tel Aviv. You will design, build, and productionize LLM-powered applications, multi-agent systems, and MLOps infrastructure that power our company's next-generation cybersecurity capabilities. This is a high-impact, hands-on role at the intersection of applied AI, agentic systems, and network securit
What You'll Do
Design and develop LLM-powered security features and internal AI tools, including RAG pipelines, multi-agent workflows, and prompt-engineered systems tailored for cybersecurity use cases
Architect and operate multi-agent systems in production - including agent orchestration, inter-agent communication, task delegation, and failure handling at scale
Build robust agent monitoring and observability pipelines: tracing agent execution, detecting drift or failure, alerting on anomalous behavior, and maintaining agent reliability SLAs
Build and maintain scalable MLOps infrastructure: model serving, evaluation frameworks, experiment tracking, and CI/CD for ML models
Work with internal datasets (network telemetry, security logs, threat intelligence) to fine-tune and adapt foundation models for domain-specific detection and response tasks
Partner with the Cybersecurity, R&D, and infrastructure teams to define AI-driven security features and deliver them end-to-end
Establish best practices for model observability, safety, and responsible AI deployment within the organization
Stay current with the fast-moving LLM/GenAI and agentic AI ecosystem and evaluate emerging frameworks, models, and tools for adoption.

We are looking for an Algo-Dev Engineer to join one of our research teams. You will be working closely with our researchers, assisting them in achieving their research objective while developing tools and optimizing models in both offline and online environments.
Areas of responsibility include data-handling, deep dive into algo code, design, implementation, and deployment of technologies designed to enable innovative algo-trading projects and support existing and ongoing initiatives.
In this role you will :
Contribute to the continuous evolution and optimization of our internal deep algorithms, bridging the gap between theoretical research and production-ready implementations

We are searching for a Software Engineer to join our digital assets group, a group within tasked with creating solutions for digital assets trading and management. You will be part of a strong and dynamic team of experienced developers and researchers that together develop and maintain all elements of the trading infrastructure, while using cutting edge technologies to overcome our unique trading challenges.
We write almost all of our tools in the Rust programming language for superior performance and safety.
The role focuses on developing and maintaining an in-house platform that manages, controls and monitors our ever-growing set of tools and applications. The tools you will write and maintain have challenging requirements on all fronts - performance, resilience, correctess and more.
In this role you can expect to challenge yourself daily and be creative to solve difficult technical problems in a fast-paced and energetic environment, while exposed to a wide range of technologies and challenging problems which require high availability, high-throughput, and latency-sensitive solutions in a cloud environment.

We are looking for a Software Engineer specializing in Deep Learning to join research department.
While vision and language models have become increasingly commoditized, proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.
This is a pivotal role within research organization. You will work closely with researchers and engineers across the company, training deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.

Were building a new orchestration platform for AI datacenters-software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence.
Youll join a small founding team (growing later) where every engineer ships. This is a hands-on architect role in the truest sense: youll own key architectural decisions and write production code 100% of the time, side-by-side with the team.
If you like shaping systems at the whiteboard-to-production level-and you want your decisions to run at scale in real AI datacenters-this is that kind of role.
What Youll Do
Design and build the core of an orchestration platform spanning the full datacenter stack.
Turn real customer needs into crisp system architecture: service boundaries, workflows, APIs, data models, and failure modes.
Implement critical platform components end-to-end: from prototypes and spikes to hardened production services.
Define and evolve platform standards through working code: patterns, libraries, templates, test strategy, CI/CD.
Make pragmatic tradeoffs (performance vs. simplicity, consistency vs. availability) and document the why.
Lead design and code reviews, raising quality while keeping velocity high.

our company is seeking an exceptional candidate to join the firm as a Quantitative Developer. The right candidate will be able to use their development and practical thinking skills to slice through complicated challenges to find the most clear and effective solutions. Quant Developers will design, code and implement proprietary systems and tools to help bring research ideas to life, and have a real business impact. You will collaborate with Quant Researchers and PMs, data scientists, mathematicians and computer scientists to gather, analyze and spec out requirements, develop and test code, and manage deliverables. A successful candidate will have a track record of solving problems, be comfortable thinking outside the box, and bring cross-disciplinary solutions into play

we are looking for a Network engineer to join our IT Network team. We are looking for an all-around player who will join our network team performing a variety of tasks including WAN/LAN infrastructure Cloud networks and High-performance networks support and maintenance and Developing/Automating the IT infrastructure.
Responsibilities:
Maintaining the network's integrity including implementing new systems, troubleshooting and repairing network issues, as well as developing, applying and enforcing best practices and policies
Defining, installing and maintaining new network solutions
Monitoring the network performance over time
Managing multi-vendor environment (Juniper, Cisco, Arista, Dell, Fortinet)
NETOPS attitude (network as a code, network automation, auto provision)
Tier 3 and tier 4 troubleshoot and support
Supporting various development Departments.

We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.
Were looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers.
The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry.

Develop and optimize high-performance software for AI datacenter networking, implementing NOS enhancements, smart NIC integration, and specialized routing features for AI workloads.
Key Responsibilities
Implement network operating system features for AI-optimized switching scenarios
Integrate smart NIC solutions for end-to-end AI-optimized networking
Create monitoring and telemetry collection mechanisms for datapath analysis
Implement load balancing algorithms optimized for AI workload patterns
Debug and optimize datapath performance bottlenecks
Collaborate with QA teams on feature testing and validation.