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we are looking for an experienced Head of Architecture to lead the architectural vision and technical strategy for our platform. In this role, you will define and drive the long-term architecture of our Threat Exposure Management platform, ensuring scalability and innovation as we continue to grow exponentially.
WHAT YOU WILL DO

Define and lead the overall architecture strategy of Zafrans platform.

Design scalable, secure, and resilient distributed systems.

Partner with Engineering leadership to guide technical direction and architecture decisions across teams.

Lead the design of complex cross-platform integrations with security tools and enterprise environments.

Ensure architectural consistency, performance, and scalability as the company grows.

Mentor senior engineers and architects and help elevate engineering standards across the organization.

Evaluate and introduce new technologies, frameworks, and architectural patterns.

Drive architectural reviews and ensure best practices in system design, reliability, and security.

In this role, you will build and manage integrations with enterprise environments, security platforms, cloud infrastructures, and third-party systems. You will work on complex technical challenges involving APIs, data flows, automation, scalability, and system connectivity.

What you will do

Design, implement, and maintain integrations between multiple products and systems via APIs.

Solve complex data and scalability challenges, ensuring the platform efficiently handles large volumes of data.

Collaborate with cross-functional teams to understand requirements and deliver integration solutions that meet business needs.

Define best practices for data handling, API usage, and integration workflows.

Ensure the integrity, reliability, and performance of integrated systems.

We are searching for an innovative Software Engineer that will join us and be part of a SW team
In this role you'll
Be responsible of the full life cycle development of several key applications including: Technical and statistical research, design, coding and integration
Developing and integrating new and existing software as part of a large-scale system
Tackle tough problems and find creative ways to solve them
Write high quality, functional code using C++/Rust development
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Be the owner of your domain to ensure code quality, performance, and scalability of our products
Manage and complete tasks using TDD, continuous integration and modern development processes
Coach and mentor other developers and help them elevate their skills while investing in your personal growth
Be working independently but as a part of a strong and collaborative team.

Required Researcher
Description
We are a world leader in trading algorithms and trade execution technologies development. Our multi-disciplinary teams have developed a unique and highly successful machine learning algorithmic based HFT platform that delivers excellent results.
Our research is run by an outstanding team of brilliant researchers who love the extreme challenge of beating the markets. We consistently profit in challenging markets that get increasingly efficient.
We have no customers, and no marketing. It is a pure technological and algorithmic challenge. Hence the time-to-market from a research idea until it is used and make profit by our trading machines is very short.
In a world increasingly dominated by learning machines and artificial intelligence, we are especially proud of our humans. Our elite team of exceptional people are the soul of our company, and it is our top priority to provide them with a professionally fulfilling environment that supports healthy work-life balance. Our employees are encouraged to pursue their passions outside of work and we are proud to offer them a variety of opportunities, multiple resources and an agile work environment which promotes their well-being.
Our unique research team is expanding, we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets. As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on our financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize our Algorithms.

Were looking for an experienced Senior Frontend Engineer to join our growing team and help shape the frontend platform behind our cybersecurity product. This is a hands-on role: youll own significant features end-to-end and drive the frontend infrastructure, architecture, and performance that let us scale.
Youll write production code daily, set the quality bar, and work closely with designers, product managers, and backend engineers to turn complex cybersecurity data into fast, elegant, and reliable interfaces.

WHAT YOU WILL DO
Collaborate with product, design, and backend teams to translate complex data into clear and actionable visual experiences.

Take part in architectural discussions and UI/UX decisions that shape the product

Develop & optimize our frontend infrastructure for handling large-scale data

Develop & optimize our frontend for supporting Product development at scale

Ensure high performance, observability, and stability on the frontend

Ensure a high-quality bar through code review, dev standards & strong testing disciplines

Stay up-to-date with modern frontend technologies and best practices.

Mentor other developers and contribute to a strong engineering culture.

We are looking for a Software Engineer specializing in ML Systems Engineering to join our Development department.
While vision and language models have become increasingly commoditized, our 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 our engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.

We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team brings the latest research in LLM inference - from novel decoding strategies to quantization schemes - into production across our hardware lineup, from large data center servers to powerful edge devices. We work on the most advanced architectures in the field, with a focus on NVIDIA's own.

What you'll be doing:

Implement and optimize inference algorithms for LLM and omnimodal architectures, including hybrid Mamba-Transformer and mixture-of-experts models.

Profile inference pipelines using NVIDIA's profiling and simulation tools. Correlate simulation predictions against real hardware across data center and edge devices.

Write and tune GPU kernels (CUDA, Triton) for operators like fused MoE layers, SSM state updates, and quantized GEMMs.

Solve distributed inference problems: expert parallelism, communication-compute overlap, collective tuning, multi-node deployment.

Build production-grade software inside major open-source libraries - vLLM, SGLang, Dynamo, FlashInfer.

Own optimization features end-to-end, from scoping through delivery, collaborating with research, product, and engineering teams worldwide.

We are looking for an experienced Data Center Operations Engineer to join our IT department. In this role, you will maintain and support a large-scale global server and GPU infrastructure, monitor and troubleshoot hardware failures, and collaborate with senior system specialists to resolve complex issues across production and research environments.
We offer a dynamic, innovative production and research environment and expect a strong commitment to maintaining high service availability, performance, and reliability.
Responsibilities:
Deploy (rack and cable) new servers, GPUs, and infrastructure hardware.
Monitor and troubleshoot IT infrastructure hardware issues across all company data centers.
Coordinate vendor engineers site visits.
Perform hardware break/fix activities including replacement of drives, RAM, CPUs, GPUs, power supplies, and other server components.
Maintain firmware versions up to date.
Manage company data center inventory.
Monitor and manage DC environment parameters including power usage, airflow, cooling, and rack capacity.
Support and keep hardware in an high-performance compute environments used for compute-intensive workloads and research activities.

Come join us in building something that's already changing how the world works.

What youll do:

Be part of an R&D group of tech savvies responsible for end-to-end feature development, from research and design to production.
Dive deep into the huge open code base of Chromium, research and define solutions for real-world enterprise problems and help our customer security and productivity.
Work closely with product, web developers, security, and field engineers to push forward Island solutions.
React and interact with real customers and real enterprise challenges.

In this role, you will have the opportunity to work with a small, but highly skilled and talented team. You will have the freedom to self-promote and take on additional responsibilities as you see fit. This is a great opportunity for someone who is looking to make a big impact in a dynamic and fast-paced environment.



Some key responsibilities for this position include:

Design, implement and maintain our production infrastructure, including our multi-cloud-based systems and servers
Develop and maintain our CI/CD pipelines to ensure smooth and efficient releases
Utilizing cloud technologies such as AWS and Kubernetes to deploy and scale Islands product
Building and maintaining monitoring tools to ensure the stability and security of our product
Collaborating with the team to identify and troubleshoot issues in the production environment

Come join us in building something that's already changing how the world works Were a team of hungry, high-character professionals from all backgrounds who came together to reinvent work for the modern enterprise. And were always looking for world-class human beings to join us.



Responsibilities

Develop and execute project plans to ensure technical alignment and compliance with relevant regulations and standards.
Work closely with cross-functional teams to ensure execution and achieve common goals.
Process Improvement: Identifying and addressing bottlenecks or inefficiencies to improve productivity and quality. This involves analyzing existing workflows, implementing processes, and recommending automation or technology enhancements.

Join our world-class team of researchers and engineers in Tel Aviv, Israel, and play a pivotal role in architecting a more secure foundation for the enterprise browser landscape. This is not just a job; it's a chance to leave your mark on the future of security. Become a pioneer in shaping the core of our Chromium-based enterprise browser and push the boundaries of what's possible.
Your Impact
Lead the change - Own critical features from conception to deployment, shaping the core of our Chromium-based enterprise browser
Mastermind innovations - Solve difficult challenges, keeping our users experience smooth and secure
Empower your team - Mentor and guide fellow engineers, sharing your expertise and fostering a collaborative environment where brilliance thrives
Champion excellence - Set the bar high, driving continuous improvement in processes, tools, and the overall product
Join us and
Work alongside the best in the industry, pushing the boundaries of enterprise security in a collaborative and inspiring environment
Shape the future of a critical product, impacting millions of users and making a tangible difference in the cybersecurity landscape
Grow as a leader and innovator, with unparalleled opportunities to mentor, research, and shape the technical direction of our team.

As a Product Security Low-Level Researcher , you will focus on deep technical research across operating systems, kernels, drivers, and low-level system components that underpin modern enterprise computing. You will investigate complex attack surfaces, uncover subtle and high-impact vulnerabilities, and translate cutting-edge research into practical security improvements for platform. This role emphasizes deep systems knowledge, hands-on experimentation, and original research that pushes beyond application-layer security.



Key Responsibilities:

Low-Level Vulnerability Research: Research and discover vulnerabilities in operating system kernels, drivers, system services, virtualization layers, and low-level system components relevant to execution and trust boundaries.
Kernel & OS Internals Analysis: Analyze kernel subsystems (memory management, scheduling, IPC, filesystems, networking) and OS security primitives to identify design flaws, logic bugs, and exploitation opportunities.
Exploit Development & Validation: Develop proof-of-concept exploits for kernel- and driver-level issues to validate impact, assess exploitability, and inform mitigation strategies.
Security Testing & Tooling: Design and build custom tooling for kernel fuzzing, syscall/interface testing, driver analysis, and low-level instrumentation across supported platforms.
Cryptography & Trust Mechanisms: Assess the implementation and usage of cryptographic primitives, key management, secure boot, attestation, and hardware-backed security features, identifying weaknesses or misuse patterns.
Threat Modeling at the System Level: Collaborate with architects, platform engineers, and the Product Security Lead to model threats across privilege boundaries, boot chains, isolation mechanisms, and OS-level integrations.
Research Enablement & Knowledge Sharing: Track emerging exploitation techniques, kernel research, and advanced persistent threat tradecraft; contribute findings to internal playbooks, design guidance, and long-term security strategy.