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We are looking for a Technical Lead to join our Network System Validation group and lead the validation of advanced networking solutions across complex AI cluster environments. This is a deeply hands-on technical leadership role, combining ownership of the validation roadmap with technical mentoring and engineering excellence. You will develop validation methodologies and automation frameworks, while working hands-on on debugging, performance analysis, and cutting-edge AI networking technologies at scale. Join us to help push our networking technologies to their limits and shape how next-generation AI infrastructure is validated.

What youll be doing:
Review system and product requirements, design validation methodologies, develop and implement comprehensive test plans, functional and performance, for networking technologies in large-scale AI cluster solutions
Develop and maintain benchmarks, automation tools and scripts for test execution, environment setup, log collection, and data analysis.
Lead end-to-end investigation of complex issues by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across the hardware and software stack, and driving them to root cause and resolution
Read and understand source code (C/C++/Python) to investigate defects, validate fixes, and improve logging, instrumentation, and debugging capabilities
Collaborate deeply with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components using targeted experiments and code inspection
Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations
Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes

We are looking for an experienced and highly motivated Senior FinOps Product & Projects Analyst to join our Financial Operations (FinOps) organization.
This role sits within the FinOps Product & Projects team, which acts as the bridge between Financial Operations, Product, Engineering, BI, and other cross functional teams.
Our mission is to ensure that FinOps is operationally ready to support new products, capabilities, and strategic initiatives. We translate business and operational needs into product requirements, design scalable operational processes, drive cross functional projects, and ensure successful implementation across the FinOps organization.
This is a highly cross functional role combining project management, product operations, process design, data analysis, and technical problem solving.
What You'll Do :
Lead strategic FinOps initiatives from planning through execution.
Drive cross functional projects involving Product, Engineering, BI, Finance, Operations, and external stakeholders.
Track project progress, identify risks, and drive timely resolution of blockers.
Coordinate testing, deployment readiness, and operational rollout of new capabilities.
Act as the primary liaison between FinOps and Product teams.
Translate operational challenges into clear product requirements and enhancement proposals.
Identify opportunities for automation, scalability, and operational efficiency.
Ensure new product capabilities are operationally supported before launch.
Influence product roadmaps based on operational needs and customer impact.
Design scalable operational processes for new products and business initiatives.
Build and document standard operating procedures (SOPs), workflows, and operational playbooks.
Ensure smooth handover of newly designed processes to operational FinOps teams.
Lead complex operational investigations involving multiple teams.
Coordinate high priority incident resolution.
Perform root cause analysis and drive long term corrective actions.
Work closely with BI teams to define reporting requirements and operational dashboards.
Support data driven decision making across FinOps.

Required Escalation Engineer
As a Escalation Engineer you will be responsible for:
Serve as a focal point and source of knowledge for departments in the company and for our clients. Share the knowledge, by being a point of advice for the CS department and other internal teams, and work on keeping our KB up to date, including creating new articles.
Manage major and critical production outages - Take ownership, troubleshoot, diagnose, resolve technical issues, and prepare internal and external RCAs.
Work closely with business and engineering teams to ensure efficient issue resolution, maneuvering towards the most suitable solutions, and minimizing further escalations as much as possible.
Analyze production traffic and locate design gaps - deep-dive analysis of the transaction processing by our clients with our partners, identification of design gap (what is missing and what needs to be done), and analysis of top-tier client processing approval ratio.
Participate in the features development life cycle - starting from the design to the implementation method, and the handover to the relevant teams.
Maintain production quality - work closely with the engineering team to coordinate maintenance in production, provide risk analysis, and constantly enhance production quality.

Our Network Modeling and Performance Insights group is seeking a skilled and driven senior software engineer for the design and development of our internal advanced AI-networking simulation service. The simulation service is a critical tool for developing and improving our AI system offering and has direct influence on HW and SW design, network architecture, performance characterization and optimization.

In this role, you will be responsible for developing and optimizing the network simulation service. You will enhance the simulator performance and quality and scale it to support massive loads, additional clients and unique use cases. You will work on integrating this infrastructure with cloud computation services and ensure the simulation is available as a service for AI agents and internal customers. If you're passionate about tackling intricate challenges and contributing to comprehensive software solutions, we want to hear from you.

 

What you'll be doing:

Design and develop simulation capabilities, integrating internal and external libraries and maintaining a clean, scalable architecture for a complex SW project.

Expand the simulation versatility to accommodate advanced use cases and bleeding-edge requirements. Provide innovative solutions to scalability and fidelity trade offs of the simulator.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

Expose the simulation as a service to facilitate easier access for different stakeholders.

Enhance simulation runtime and memory consumption through creative optimization techniques.

Integrate a new simulation management system, making simulated experiments data accessible to all users.

Collaborate with DevOps engineers to develop our CI/CD infrastructure for the networking simulation service, ensuring efficient deployment and smooth integration processes.

Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven AI Network Modeling Engineer to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools.

In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network architectures, topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.

What you'll be doing:

Directly impact the architecture of our next generation AI and HPC offerings through modeling, simulation and analysis.

Deep dive into network behavior for training and inference use cases under advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the systems performance. Develop advanced simulation solutions while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven AI Network Modeling Architect to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools.

In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network architectures, topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.

 

What you'll be doing:

Directly impact the architecture of our next generation AI and HPC offerings through modeling, simulation and analysis.

Deep dive into network behavior for training and inference use cases under advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the systems performance. Develop advanced simulation solutions while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

The Networking Application Engineering team is looking for a motivated, experienced Senior Hardware Engineer who thrives at the intersection of hardware performance, ecosystem validation, and ODM/OEM partnerships. In this high-impact role, you will own critical qualification tooling, drive the design-in process with leading hardware partners, and collaborate across םור R&D organization to accelerate hardware resolutions at scale. Your work will directly influence the quality and velocity of next-generation networking hardware reaching the world's most advanced data centers and supercomputers.

What You'll Be Doing:

Own and lead the Hardware Performance and Qualification tooling suite, driving continuous improvement in test coverage, automation, and accuracy in collaboration with leading ODMs and OEMs.

Drive the design-in process with top-tier ODM and OEM partners, ensuring seamless hardware integration and delivering best-in-class platform experiences.

Partner cross-functionally with multiple R&D departments to identify, escalate, and resolve hardware issues rapidly - reducing time-to-resolution and maintaining platform quality.

Define and execute qualification plans for new hardware platforms, validating performance, stability, and compliance across diverse system configurations.

Build and nurture trusted technical relationships with ODM/OEM engineering teams, acting as the go-to expert for hardware performance and qualification.

Provide actionable feedback to engineering and product teams based on qualification findings and partner interactions.

We are seeking best-in-class ASIC Design Engineers to design and implement the worlds leading CPU's and SoC's. This position offers you the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We are a learning machine that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can take on, and that matter to the world. We have crafted a team of excellent people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.

We are building a new group in Israel, this group will deliver security engines and risc-V processor IPs to all of our product lines working with all our groups around the world. We are looking for an Architect with a security experience to help lead the Arch work on security engines and secure boot flows. You will work closely with our security architects, design engineers, verification engineers, and SW engineers to accomplish your tasks.

What you will be doing:

Participate in Architecture development and document specifications.

Work with RTL and the verification team to ensure that the design meets the spec.

Help deliver a design that meets the high security standards of us and our customers.

Required Solution Engineer (Pre-Sales)
About The Position
A modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%.
Solution Architects are key in meeting our customers expectations and helping them utilize their observability and security data. We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience. Our architects are trusted advisors and consult our customers upon their monitoring, security & observability journey.
Solution Architect is a senior-level role expected to professionally and accurately present technical presentations across different personas, from software engineers and DevOps all the way to the C-suite.
What youll do:
Collaborate with account executives to strategize, prepare, and execute on complex, technical sales cycles.
Deliver compelling presentations and product demonstrations that highlight our unique value proposition and the solutions we provide.
Oversee the technical aspects of the sales process, including sizing, discovering and Proof of Concepts.
⁠Develop custom solutions to bridge any gaps and enhance the core offerings of our product.
⁠Possess a thorough understanding of the Observability market, advising customers on best practices and the most appropriate solutions for their needs.

We are seeking engineers with hands-on experience in developing and managing distributed systems and microservices in a production environment. The ideal candidate should have a solid background in infrastructure and operations.
The team builds high-throughput ingestion and processing pipelines, efficient storage on object stores, and systems for data governance, usage reporting, and routing data to multiple physical locations.
You will work on cloud-native, production systems written in Rust and Scala, operating at scale with Kafka, Postgres, Redis, and object storage, run on Kubernetes and operate in a multi-cloud environment.
Responsibilities:
Develop and operate distributed systems in production
Build Kafka-based ingestion and processing pipelines
Design systems for data governance, retention, deletion, and usage reporting
Work with Postgres and Redis, requiring solid database design and operational knowledge
Implement efficient persistence using column-oriented data formats and object storage.

We are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before. As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If you're passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
Solve diverse and complex problems in a high-scale, cloud-native environment
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
Design, develop, and maintain robust, secure, and efficient software solutions
Ensure high system reliability by implementing best practices in monitoring, observability, and automation
Review code, architecture, and data to identify and troubleshoot technical and performance issues
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning.

Were looking for a Director of Engineering Security to join our organization and lead multiple engineering teams building the next generation of secuirty products.
This is a hands-on engineering leadership role for someone who is a builder at heart, an experienced software engineering lead who loves to code, understands the full product and technical lifecycle, and knows how to scale both people and technology.
Youll work closely with the VP of AI and leaders across Product, Engineering, and other functions to turn ambitious ideas into high-quality products, while building and mentoring strong engineering teams.
What Youll Do:
Lead and manage multiple engineering teams, including managing and mentoring Team Leads.
Set the technical direction and execution standards across the teams.
Stay close to the technology and remain hands-on when needed- this is not a purely managerial role.
Drive the full engineering lifecycle, from architecture and design through development, deployment, and production.
Build and scale SaaS products in a fast-moving environment.
Partner closely with Product and other departments to translate business needs into technical execution.
Make pragmatic tradeoffs between long-term architecture and short-term delivery.
Encourage a culture of ownership, speed, experimentation, and continuous improvement.
Motivate engineers by connecting their work to the broader product and business goals.
Collaborate closely with managers and stakeholders across the organization.
Resolve conflicts effectively and build strong, collaborative relationships across teams.
Help identify technical risks and long-term implications while maintaining a strong focus on delivering results now.

We are looking for a Backend / Data Engineer to join our Core Data Pipeline team. In this role, you will be responsible for building and scaling the engine that processes our high-throughput, real-time telemetry data.
Our pipeline handles billions of events per second, performing real-time processing, data enrichment, and other transformations. If you thrive on solving high-scale, low-latency distributed systems challenges - this is the place for you.
What Youll Do:
High-Scale Engineering: Design, build, and maintain our central data processing pipeline, handling massive volumes of logs and traces at extreme scale.
Transform & Enrich: Architect real-time stream processing systems to perform complex data transformations and enrichments in real time.
Performance & Efficiency: Optimize system throughput, reduce memory footprints, and minimize latency across distributed clusters.
Architecture & Reliability: Take full ownership of feature lifecycles - from design and system architecture to production monitoring and resilience.
Our Stack:
Scala, Rust, Node.js
Kafka
Kafka Streams / Akka Streams
ClickHouse, Redis
Kubernetes
AWS.

Required Senior Product Designer
About The Position
A modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, traces, and security events - with features such as APM, RUM, SIEM, and Kubernetes monitoring - all enhancing operational efficiency and reducing observability spend by up to 70%.
We're a well-established startup, post-Series F, with paying customers and sales across the globe. Our design studio is mature, with multiple teams already in place - and we're looking for an exceptional, experienced Senior Product Designer to help us move the needle in a fast-paced, growing environment.
Why this role is different:
This isn't a hand-off-the-mockups role. We give designers real ownership of the product:
End-to-end ownership. Every designer on the team owns projects from early wireframes to mockups to live, shipped features. You own the outcome, not just the artboard.
We're an AI-native design team. AI is woven into how we work day-to-day - Claude Code included - and the company actively supports and invests in giving us the best tools to do it well.
Designers ship to production. Our team has access to the company codebase and pushes UI code to production directly. This isn't about replacing engineers - it's about design owning the quality of the UI, working hand-in-hand with R&D. You'll be accountable for the product experience, not just advocating for it.
You'll design work tools that help developers, DevOps, and R&D teams manage complex software - turning dense, technical, data-heavy problems into clear, elegant experiences for technical users.
Responsibilities:
Design end-to-end user experiences, from research and wireframes to high-fidelity mockups to final implemented live features.
Validate your work through user research - interviews, usability testing, and analysis of product data - and iterate quickly based on what you learn.
Ground your design decisions in evidence - product data, user research, and feedback - and help define the success metrics that connect your work to user needs and business goals.
Work closely with R&D and product teams to bring these experiences to life.
Take ownership of UI quality in production, including shipping front-end changes directly (with AI tooling and our design system).
Contribute to, manage, and refine our product style guide and design system.
Make complex technical solutions clear and usable for a technical audience.