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Were at a super exciting inflection point. Our product is scaling, our customers are pushing the boundaries of whats possible, and were re-architecting our platform to keep up with that pace.
Were looking for a Senior full stack Engineer who wants to build, not just maintain. Someone who gets excited about laying down core infrastructure, shaping technical vision, and shipping real product fast. This is a hands-on role with tons of room to grow and influence the direction of the company.
What Youll Do
Own big pieces of the product: Youll lead core projects that shape how teams experience our company, making complex workflows feel dead simple.
Ship fast and thoughtfully: We care about great engineering and moving quickly. Youll set the tone for both.
Build the foundation: From infrastructure to frontend components, youll help create the building blocks that unlock entirely new use cases for our customers.
Make us scale like magic: As usage explodes, youll make sure our product stays fast, stable, and elegant behind the scenes.
Collaborate deeply: Youll work side-by-side with design, product, and go-to-market teams to bring ambitious ideas to life, and help shape the technical culture as we grow.

As a Senior Site Reliability Engineer at our company 911, you'll own the infrastructure that keeps our platform reliable, scalable, and secure - work that directly supports mission-critical 911 systems used by public safety agencies. You'll drive infrastructure-as-code practices across AWS, lead observability efforts through Datadog, and bring modern AI-assisted engineering approaches into how the team builds and operates.
What You'll Do
Own and evolve AWS infrastructure using Infrastructure-as-Code (Terraform / Terragrunt)
Architect and scale AWS environments
Deploy, scale, and manage containerized workloads using Kubernetes and Docker; contribute to HA/DR architecture and platform strategy
Lead deployment and release processes using Argo (reference JD also names Bitbucket, Jenkins as part of the CI/CD toolset).
Define and enforce SLOs, SLIs, and error budgets; drive toil reduction across the platform
Drive full utilization of Datadog for monitoring, dashboards, and alerting across the platform (reference JD also names Prometheus, Grafana as potential observability tooling)
Build self-service internal developer platforms that empower teams to ship faster.
Take end-to-end ownership of infrastructure projects - define success criteria, execute, and measure outcomes.
Partner cross-functionally with engineering teams (e.g., network engineering, Dev owners) on long-term technical planning.
Bring AI-assisted engineering practices (e.g., Claude, MCP integrations) into daily workflows to improve team efficiency
Document work and provide cross-training to peers.
Resolve JIRA tickets across Cloud, CI/CD, deployments, and monitoring.

Required Senior Python Software Engineer
The Role:
Our group is responsible for building software enabling both the large-scale quantitative research operations that drive our platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firms next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

We are looking for an exceptionally strong software engineer to join our Technology organization. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow - from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice.
Design and build data pipelines and the data layer.
Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale.
Implement and enhance quant-related software systems for data, research, portfolio construction, and trading.
Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions.
Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation.
Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows.
Use AI coding assistants and agentic developer tools to ship higher-quality software faster.

We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions.
This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

we are looking for a Senior Software Engineer with strong Python expertise and a passion for solving complex algorithmic problems. You'll work at the intersection of production software, algorithms, and quantum computing, collaborating closely with researchers to turn complex ideas and prototypes into robust, scalable production systems.
What You'll Do
Bridge research and production environments, turning research prototypes and algorithmic concepts into production-quality software.
Own software components end-to-end, from design and architecture through implementation, testing, performance optimization, and productionization.
Implement and integrate complex algorithms in close collaboration with research teams.
Develop and maintain company code across two key areas: research support systems that enhance our researchers' capabilities, and core product development code.
Design software that is robust, scalable, maintainable, and correct across performance-sensitive and edge-case-heavy scenarios.
Why is This Role Unique?
Core software engineering - The role is centered on software architecture, implementation quality, algorithms, performance, scalability, robustness, and maintainability. UI, database-heavy work, and DevOps are minimal to non-existent.
Algorithmic depth - Solve complex computational and mathematically intensive engineering problems, not just standard backend challenges.
Quantum computing focus - Work on emerging quantum computing technology. Prior quantum experience is an advantage, but is not required.
Research-to-production collaboration - Work directly with quantum physicists and researchers and turn research ideas into reliable production software.

As a quantum researcher, your main role will be to develop algorithmic and error-reduction tools to help our partners and customers achieve quantum advantage for their applications. You will develop our companys error reduction methods, including mitigation and correction, and apply them to different use cases by optimizing existing methods, developing new algorithms, and adapting these tools to the realities of running on quantum hardware. This includes taking into account application requirements, noise characteristics, device constraints, and performance on real quantum devices.
Responsibilities
Developing new error reduction methods, including mitigation and correction, for quantum algorithms.
Optimizing error reduction methods for different algorithms, applications, and hardware settings.
Developing new quantum algorithms to enhance performance on real quantum hardware with error mitigation.
Conducting research on applications of quantum computing with our companys partners, including implementing and running proof-of-concept demonstrations of these applications on real quantum hardware. 

Required Staff AI Research Scientist
Our research is driving the future of AI, from edge to cloud. We are building the foundations of tomorrow's intelligent systems, spanning next-generation processors and accelerators, innovative machine learning models, and advanced AI tools. As a Research Scientist, you will join a distributed team pushing the boundaries of what is possible at the intersection of AI, computer architecture, and compute. We seek curious, collaborative researchers who are passionate about turning research ideas into top-tier publications and real-world impact. We are looking for Research Scientists interested in foundational advances in machine learning, efficient inference, and physical AI. Research areas can include, but are not limited to:
Generative Modeling: Research into generative techniques for inverse problems, such as image denoising, super-resolution, reconstruction, and related tasks.
Efficient Inference: Research into including quantization, pruning, low-rank, and hardware-aware optimization.
Physical AI: Research into AI systems that perceive, reason, and act in the physical world.
Responsibilities:
This role involves conducting research across a wide range of AI topics, collaborating with researchers to advance the state of the art, publishing at top conferences, and translating research into real-world impact.

Required Staff GPU Verification Engineer
Join our GPU Hardware Verification team in Raanana, Israel, and help shape the future of the world's most widely deployed GPU architecture - Mali. As a Staff Hardware Verification Engineer, you will play a key technical role in verifying advanced GPU components and subsystems, working alongside architects, designers and verification engineers to deliver high-quality, industry-leading graphics technology. You'll contribute to complex verification environments, solve challenging technical problems and help drive continuous improvements to our verification methodologies and flows.
Responsibilities:
Develop and execute verification plans for advanced GPU components and subsystems.
Develop and maintain AI tools, agents, and skills to support our engineering teams and workflows.
Build, maintain and enhance robust verification environments using SystemVerilog and UVM.
Apply coverage-driven, constrained-random and, where appropriate, formal verification techniques to achieve comprehensive functional coverage.
Debug complex functional issues and work closely with Design and Architecture teams to identify and resolve root causes.
Contribute to block-level and system-level verification, including environment integration and regression analysis.
Improve verification methodologies, automation, scripting and continuous integration flows to increase quality and efficiency.
Participate in verification reviews and support verification sign-off activities.
Share technical knowledge and collaborate with colleagues across the wider GPU engineering organisation.

We are looking for Computer Science students (3rd year and above) to join us!

We are seeking an experienced Project Manager to lead multiple high-budget projects in the air defense sector, overseeing all stages and ensuring successful delivery of business, financial, and technical objectives.
Responsibilities:

* Manage multiple high-budget security projects simultaneously, ensuring they meet scope, timeline, and budget requirements.
* Oversee projects at different life cycle stages, from initiation to closure.
* Coordinate and collaborate with internal and external stakeholders, including customers, suppliers, and cross-functional teams.
* Ensure all aspects of project management are addressed, including business, administrative, financial, and technical requirements.
* Negotiate with stakeholders to resolve conflicts and achieve project goals.
* Monitor and report on project progress, risks, and issues to senior management.
* Maintain excellent human relations and ensure high levels of service orientation and productivity.
* Foster a creative and solution-oriented environment to address project challenges.
* Travel within Israel to meet with customers and suppliers.

We're looking for a Senior Fullstack Software Engineer to build intelligent backend infrastructure and exceptional user experiences that power our platform. You'll work directly with LLMs, design scalable systems, and ship production AI features that transform how legal teams operate worldwide. If you love owning features end-to-end and moving fast, we want to hear from you.
What You'll Do
Own features end-to-end, from design through deployment across the full stack
Build scalable backend services and APIs using Python (FastAPI, Pydantic, Postgres, MongoDB)
Create responsive, performant frontend experiences with React.js
Develop integrations with enterprise platforms like Salesforce, Google Drive, SharePoint, and DocuSign
Work hands-on with LLMs and build the connecting logic between AI capabilities and business systems
Partner with ML engineers, AI researchers, and legal domain experts to deliver impactful solutions
Contribute to architectural decisions and help establish engineering best practices as we scale.

we are revolutionizing legal tech with an AI-powered Legal Intelligence Platform trusted by some of the world's fastest-growing companies including Wiz, Socure, and Fiverr.
We integrate seamlessly with Salesforce and other systems to help in-house legal teams accelerate negotiations, reduce risk, and unlock institutional knowledge through automated workflows.
We're solving complex problems at the intersection of AI and legal operations. Join us as we scale our impact globally.
About the Role
We're looking for a Head of Security to own security end-to-end at our company- from the architecture of our product to the systems our own team runs on.
We handle some of the most sensitive documents our customers have, and our buyers' security teams scrutinize us accordingly.
You'll be our first dedicated security hire and the sole internal authority on the subject: setting the standards our engineers build against, owning our compliance posture, and sitting across the table from customer CISOs to defend it.
This is a hands-on role with real strategic weight - if you want to build a security function from scratch at a company where security is a deal-maker, we want to hear from you.
What You'll Do
Design, architect, and implement security directly into our product and codebase
Own our internal security posture: corporate IT, access management, endpoint, and employee security practices
Lead customer-facing security engagements - pre-sales security reviews, CISO-level discussions, security questionnaires, and enterprise assessments - representing our company's posture to buyers who evaluate us seriously
Own our compliance program end-to-end, including audits, evidence, and vendor risk
Set security standards and best practices across R&D and product as the internal authority on the subject
Build the security review process for how we ship AI features - threat modeling around LLMs, agentic workflows, and customer data boundaries
Partner with DevOps and engineering on cloud security, secure architecture, and incident readiness
Grow the security function as we scale, from process to headcount.

we are building the AI native operating system for in house legal teams. We are growing quickly and looking for a Founding GTM Engineer to build the technical infrastructure behind our go to market engine.
This is a hands on role for someone who has already built GTM systems, automations, and AI workflows and now wants to own the entire stack from the ground up.
What you'll own
Build and own our GTM stack across Attio, Clay, Smartlead, HeyReach, Zapmail, PostHog, n8n, Zapier, and other tools
Design the architecture connecting CRM, enrichment, outbound, product data, marketing signals, and internal systems
Build automated prospecting, enrichment, scoring, and routing workflows
Build outbound infrastructure across email and LinkedIn, including deliverability, domains, inboxes, sequencing, personalization, and routing
Create AI agents for account research, lead qualification, personalization, follow ups, pipeline intelligence, and internal GTM workflows
Turn product usage and intent signals from PostHog and other sources into automated GTM actions
Build custom workflows in n8n and Zapier, and know when to go beyond no code tools and build directly through APIs
Build and maintain API integrations, webhooks, scripts, and data pipelines between GTM systems
Own lead scoring, lifecycle stages, attribution, CRM hygiene, dashboards, and reporting
Identify repetitive work across sales and marketing and replace it with software, automation, and agents
Experiment rapidly with new models, tools, and GTM techniques and put what works into production.