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We are looking for a talented, hands-on Software Development Team Leader to lead a small, focused team of software developers in a web development environment and take a key role in the development of an advanced, real-time operational platform.
The ideal candidate is a dynamic and technology-driven Team Leader who loves building great software, brings new ideas to the table, stays constantly up to date with emerging technologies, and knows how to turn them into real engineering value.
Responsibilities:
Lead the teams day-to-day technical activities while remaining actively hands-on in development.
Develop scalable backend services in a microservices architecture.
Integrate AI into the day-to-day development lifecycle, including coding, testing, debugging, documentation, code review, and productivity improvement.
Work closely with Product, System Engineering, Project Managers, QA, and other R&D stakeholders.

Required Tier 3 Service Engineer
About The Position
Act as the highest level of technical escalation for Tier 1 and Tier 2 service teams, leading the resolution of complex technical issues.
Provide advanced remote technical support to global customers, partners, and field teams, including participation in the on-call rotation for after-hours support.
Lead technical service activities for local customers, including troubleshooting, coordination, issue ownership, and follow-up through resolution.
Collaborate closely with R&D, Quality Assurance, Product, and Operations teams to investigate recurring issues, improve system reliability, and drive effective corrective actions.
Develop, improve, and maintain service documentation, troubleshooting procedures, knowledge articles, and training materials.
Deliver technical training and knowledge transfer sessions to global service teams, distributors, and partners.
Support system validation, software upgrades, service readiness activities, and new product introductions from a service perspective.
Analyze service data, trends, and recurring failure patterns using Salesforce, Excel, BI tools, and other available reporting systems.
Ensure all service activities are performed in compliance with applicable Quality, Regulatory, and Safety standards.

Required BI Analyst
About The Position
Serve as primary point of contact for data analysis initiatives, esp. for Finance and Commercial related data. Gather requirements from stakeholders across the company and translate them into actionable specifications for dashboards and reports.
Design, develop, and maintain reliable and scalable dashboards, visualizations, and data solutions that support decision-making.
Author high-quality design documents for reports and semantic layers.
Establish and enforce robust data governance framework to ensure data integrity, data privacy, and compliance
Partner closely with stakeholders to review data on a regular basis and surface actionable insights.
Lead and mentor business data analysts across multiple units, ensuring consistent methodologies and best practices.
Monitor and improve data quality, resolving discrepancies across reporting systems.
Collaborate with IT, Data Engineering, and business teams to integrate and optimize data sources for reporting solutions.
Stay current with emerging data technologies and methodologies
Promote a data-driven culture by driving analytics literacy and recommending process and tool improvements. Contribute to the data strategy and roadmap.

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 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.

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 seeking an experienced Project Manager to lead complex, software-based and multidisciplinary projects in the defense sector. The role involves managing projects throughout their entire lifecycle—from initiation and planning through execution, delivery, and closure—while ensuring the achievement of business, technical, financial, schedule, and customer objectives. The ideal candidate has a proven track record of managing technology and product development projects within software-intensive companies, defense organizations, or other multidisciplinary engineering environments.

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.