דרושים » תוכנה » Chief Architect

we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

We are looking for an experienced Sr. Principal Architect to join the XSIAM engineering group in a highly cross-functional, product-facing role. This position sits at the intersection of engineering, product management, customer success, and product architecture, helping shape scalable and innovative solutions across the XSIAM product.
The ideal candidate combines deep technical expertise with strong product thinking, enabling them to translate business and customer needs into clear architectural direction and execution strategies. This role requires close collaboration with engineering teams, product managers, and strategic customers to drive platform capabilities, integrations, scalability, and long-term architectural vision.
Key Responsibilities
Lead architectural design and technical strategy for XSIAM platform capabilities and integrations.
Define best practices, technical standards, and scalable design patterns across the organization.
Work closely with customers, field teams, and support organizations to understand real-world use cases and pain points.
Evaluate tradeoffs between scalability, performance, security, operational complexity, and delivery timelines.
Support strategic customer engagements and complex deployment scenarios.
Mentor engineers and technical leaders on architecture, system design, and product-oriented engineering thinking.
Act as the bridge between engineering, product, and site reliability (SRE) to ensure that architectural designs translate into operational excellence.

We are looking for a Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.

As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.

If you are passionate about making real impact, enjoy solving hard problems end-to-end, and thrive in distributed systems that process billions of events per day, wed love to talk.

What Youll Do:
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.

We're looking for an Engineering Group Manager to lead this group. Reporting to the VP of R&D, you'll own the engineering execution, architecture, and technical direction of the products that define what Optibus is. You'll lead a group of full-stack team leads and engineers building large-scale, complex SaaS products on a cloud-native platform, working closely with our Algorithms group.

This is not a 2024 group manager role. We are not hiring someone whose day is meetings, status reports, and approvals. We are hiring a hands-on technical leader who codes, designs systems, drives architecture, leverages AI as a force multiplier, and is measured by impact rather than headcount.

What You'll Own

R&D leadership partnership. You're a key member of the R&D leadership team, actively shaping departmental strategy and driving high-level decisions across the organization - not just running your own group.
The core of the product. Engineering ownership of Planning, Scheduling, and Rostering - the products at the center of the platform, used by transit agencies and operators worldwide.
Architecture and technical direction. You set the technical bar. You participate in design, review architecture, write PRDs, and dive into code reviews when it matters. The hardest problems land on your desk.
A group of team leads and engineers. You'll mentor team leads, grow engineers, and build a small, sharp, high-leverage organization rather than a large one.
Delivery, quality, and velocity. You drive the engineering processes that ship a high-quality product on production-grade SaaS - fast, with low defect rates, and with continuous improvement.
AI-native engineering. You leverage AI agents and automation to multiply the output of your group - both in how the team builds software and in what we build into the product.
Cross-functional partnership. Tight collaboration with Product, Design, Algorithms, and Customer-facing teams to translate complex transit-domain needs into shipping software.

Required Software Architect
Location: Tel Aviv; Hybrid office/home.
About the Job
The Software Architect role involves defining, leading, and evolving the technical architecture of our flagship product. Youll be the driving force behind critical architectural decisions, ensuring our systems are scalable, reliable, and secure. This is a hands-on leadership role where youll balance long-term architectural vision with the immediate needs of delivery.
Beyond designing robust solutions, youll play a key role in shaping our engineering culture. Youll provide technical guidance across the entire software development lifecycle, and collaborate closely with cross-functional teams, including DevOps, QA, Automation, Product, Support, Sales, and Engineering leadership.
Key Responsibilities
Define and evolve the technical architecture of our product across its SaaS, client-server, and multi-OS deployments.
Ensure the scalability, security, performance, and maintainability of our microservices-based systems.
Lead the technical design and execution for new features, from initial concept to final deployment.
Collaborate with DevOps on containerization, orchestration, and advanced CI/CD pipelines (e.g., Docker, Podman, Kubernetes).
Partner with QA & Automation to guarantee testability, resilience, and high-quality delivery.
Work closely with product teams to translate business requirements into robust technical solutions.
Mentor and provide technical guidance to developers, team leaders, and group leaders to foster a strong engineering culture.
Drive the adoption of architectural best practices in code quality, design patterns, and system integration.
Collaborate with Support & Sales to understand customer needs and inform architectural improvements.
Serve as the technical authority for governance, reviewing designs, enforcing architectural guidelines, and ensuring consistency across all engineering teams.
Our Tech Stack
Languages: C#, Python, TypeScript (Angular)
Database & Storage: PostgreSQL, Elasticsearch, Redis (DB, Cache, Streams)
Containers & Orchestration: Docker, Podman, Kubernetes
Architecture: SaaS, Microservices, Multi-OS deployments, High-scale Client-Server systems.

We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.


What Youll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.

we are looking for a Team Lead.
As the Team Lead, you will manage a high-impact squad dedicated to ensuring compliance with critical processes and data integrity. Your role is central to driving quality, scalability, and accountability in processes such as compliance audits, credit bureau furnishing, and legal automation. This is an exciting opportunity to work at the intersection of technology, compliance, and data. You will lead Backend Engineers and Data Engineers to build robust systems that power regulatory functions. You will have the chance to shape the technical strategy and build the team (hiring and mentoring), while remaining hands-on with modern technologies.
Key Responsibilities:
Manage and mentor a dynamic team of 3 engineers (Backend & Data), fostering collaboration and professional growth. You will also be responsible for hiring and onboarding new talent to the team.
Architect scalable, high-performance systems that support compliance-critical operations. You will define the technical roadmap and drive modernization efforts.
Design and oversee both Backend infrastructure and Data Pipeline to ensure accurate, auditable, and scalable compliance processes.
Act as the single point of contact for legal and compliance stakeholders, handling and facilitating all technical aspects of audit requests (SOC, state, and other regulatory audits).
Collaborate with cross-functional teams, including other engineering teams, product managers, legal, and business stakeholders, to align technology and compliance goals.
Remain active in the codebase, ensuring high code quality and leading by example.

We are looking for an experienced Software Architect to lead the design and development of our AI-driven software solutions. This role combines deep hands-on architecture with technical leadership, working closely with the CTO to shape system design, guide teams, and align engineering efforts with business goals, with a strong focus on AI-driven capabilities.
Responsibilities
Design and implement software architecture and system structure
Provide technical leadership and architectural guidance to engineering teams
Own the architectural vision and contribute to the technology roadmap
Translate business requirements into scalable technical solutions
Design and evolve AI/GenAI components, including model integration, orchestration and data flow
Guide teams on efficient use of LLMs (latency, cost, scalability)
Evaluate and recommend tools, technologies, and processes
Work closely with the CTO, product, and engineering teams to ensure alignment between architecture and business goals
Ensure quality, scalability, performance, and reliability of the system.

we are looking for a AI Architect.
Responsibilities:
1. AI Architecture & Technical Leadership
Guide AI architectural direction across Navinas platform, focusing on system design, model lifecycle, and integration of AI components into product workflows.
Act as a senior technical reviewer and thought partner for complex or cross-team AI design decisions.
Provide technical oversight on areas such as exploring new models/technologies/opportunities for the company
Surface architectural risks, tradeoffs, and long-term implications, including cost, security and compliance aspects and clearly advise the VP of AI when certain technical directions should not be pursued.
This role influences judgment, clarity, and experience, not through blocking authority.
2. Hands-on Applied Innovation (Core Pillar | ~50%)
Spend at least 50% of time hands-on, building:
End-to-end AI prototypes
Technical demos and proofs of concept
Exploratory implementations of new AI capabilities
Drive applied innovation that:
De-risks new technologies
Demonstrates feasibility and impact
Informs product direction and business opportunities
Build fast, concrete examples that teams can learn from and extend.
Transition successful prototypes to team ownership for further development and scaling.
This role is expected to lead AI innovation by doing, while working closely with product, medical and engineering
3. Best Practices & Technical Enablement
Define and promote best practices for applied AI development, including:
Rapid prototyping and vibe coding.
Agent design, orchestration, and evaluation patterns
Experimentation, benchmarking, and validation workflows
Help teams align on shared technical patterns, tools, and standards.
Identify opportunities to consolidate duplicated efforts and improve cross-team coherence.
Lead technical deep dives, architecture discussions, and design reviews.
4. AI Compliance & Regulatory Enablement (Technical Scope)
Ensure Navinas AI development practices align with applicable AI regulations for a software product handling sensitive medical data.
Define and guide AI-specific compliance practices, including data usage, transparency, evaluation, and documentation expectations.
Support and contribute to AI-related compliance and regulatory documentation, in close collaboration with Legal, Security, and Medical Research teams.
Serve as a technical point of reference for AI compliance questions.

Required Machine Learning Hardware Architect, Hardware, Software Co-Design, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Machine Learning Hardware Architect within the Co-design team, you will serve as a technical lead bridging model architecture innovation and next-generation hardware design. Operating at the highest levels of AI research and engineering, you will define the goal and architectural roadmap for our future machine learning serving and training capabilities. You will guide the integration of ML research such as massive-scale foundation models with advanced silicon architectures to create industry-leading, high-performance, and power-efficient accelerators.
Responsibilities
Define and drive the technical roadmap and architecture for the hardware/software stack to ensure exceptional performance for ML models. Act as the technical liaison across research, software, and hardware teams, steering model architecture innovation to maximize scaling, quality, and hardware efficiency.
Architect next-generation configurable simulation frameworks and performance models, setting the organizational standard for evaluating complex microarchitectural decisions. Drive high-stakes choices regarding Power, Performance, Area (PPA) and buildability for future chip and system architectures, expertly balancing long-term technological trends with strict product delivery timelines.
Guide system-level performance analysis across highly distributed ML systems, innovating new methodologies to optimize and balance compute, memory bandwidth, and inter-chip network requirements. Their leadership will directly shape the future of high-performance AI infrastructure and hardware-software co-design.
Manage cross-functional partnerships across hardware, compiler development and ML teams.