לוח משרות דרושים Principal Engineer בתל אביב יפו

we are looking for a Principal Product Manager.
This role offers high visibility, strong strategic influence, and direct collaboration with executives, Fortune 100 customers, engineering, finance, information systems, GTM, and business stakeholders.
As a Principal Product Manage you will
Drive Product Strategy: Identify market opportunities, define product vision, and gather customer requirements.
Own the Lifecycle: Lead your product from ideation to launch, ensuring alignment with customer needs and high-quality execution.
Leverage Data: Design, experiment, and iterate based on customer feedback, market research, and usage metrics.
Collaborate Cross-Functionally: Partner with Information Systems, Finance, Sales, Support, Marketing, and Engineering to deliver scalable and efficient platform solutions.
Build Relationships: Foster trust and alignment across internal and external stakeholders to bring your vision to life.

We are seeking a Principal Software Architect to lead the end-to-end design and technical specification of our next-generation ADAS/AD software platform. You will define the architectural vision across key modules-including perception, localization, planning, and embedded platforms-while serving as the technical authority translating product goals into deliverable system specifications. As a "whole-system" expert, you will provide critical technical advisory in customer engagements and serve as the primary "go-to" for complex system-level challenges.
Responsibilities
Software Architecture Leadership:
System Design: Evolve high-level architecture for the ADAS/AD stack, including sensor ingestion, perception, localization, and planning.
Compute Partitioning: Map software components across heterogeneous resources (CPUs, GPUs, NPUs, MCUs) with a deep understanding of SW/FW-oriented execution.
Performance Optimization: Ensure architecture is optimized for multi-threaded, real-time embedded environments (Linux/QNX).
Middleware Integration: Lead the selection and integration of solutions such as DDS, ROS2, and AUTOSAR.
Technical Strategy & Advisory:
Technical Vetting: Review product and marketing requirements for feasibility; provide expert "push-back" and advise on optimal architectural alternatives.
Customer Consultation: Act as the primary technical interface in customer meetings, translating complex technical constraints into clear roadmaps.
Design Specification: Drive technical decomposition of features into architectural specifications and Interface Control Documents (ICDs).
Traceability: Ensure technical designs are aligned with ASPICE-compliant processes and safety goals.
Technical Coordination & System-Level Support:
Technical Anchor: Serve as the primary escalation point for critical system-level "Big Issues," performing root-cause analysis across the full software stack.
Cross-Domain Liaison: Bridge Software, Systems, Hardware, and Validation teams to ensure Hardware-Software Interface (HSI) alignment.
Architecture Reviews: Lead technical audits and conduct DFMEA/DFA to ensure system robustness.
Quality & Compliance:
Ensure architecture compliance with ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity).
Support SPICE Level 2+ software quality processes through rigorous design documentation.

We are looking for a talented Architect to join us. As a Data Architect, you will be the organizational point of contact for all things related to data persistence and architecture. You will work closely with engineering teams across the Product, Platform, and Data groups to design, govern, and evolve our data models, databases, and data-related systems. Your goal will be to ensure scalability, reliability, security, and efficiency for all data storage and retrieval across the organization.
A few of the things you will do:
Be the primary point of contact and subject matter expert for data persistence across the entire engineering organization.
Define and govern the data architecture strategy, standards, and best practices for relational, NoSQL, and data warehouse systems.
Partner with engineering teams from product, platform, and data groups to design and implement scalable and robust data models for new and existing services.
Lead the design and optimization of the organizations data flows. You will help to ensure that data moves efficiently, consistently, and with high quality across all systems and domains.
Evaluate and recommend new technologies and data solutions to meet evolving business needs.
Drive initiatives to improve data quality, consistency, and integrity across all production systems, from ideation to hands-on execution.
Establish, maintain, and communicate documentation for all data models and architectural decisions.

We are looking for a Principal Backend Infrastructure Engineer to lead the conceptualization and development of mission-critical services and APIs. In this role, you will assume full ownership of a system that directly influences the success of our company. To achieve this, you will collaborate closely with data scientists, product managers, and customer success managers in our dynamic, agile work environment.
Responsibilities:
Take ownership of backend and infrastructure tasks for our rapidly growing SAAS product. This includes designing and implementing the architecture, as well as overseeing maintenance and monitoring.
Collaborate seamlessly with team members to produce production-ready code and maintain high infrastructure standards.
Lead the team in technical design efforts and serve as a source of knowledge for fellow engineers.
Develop APIs and background services using a diverse range of backend technologies to:
Integrate with external platforms
Extract and analyze web content
Interface with internal machine learning services
Cater to external customer needs
Scale up our system to handle big data challenges, ensuring robustness and reliability.
Work closely with the entire R&D team to create better tools and infrastructure.

We're looking for a hands-on builder to join our company's Backend Core Team as a Principal Backend Engineer- a role where you'll actively code and deploy the critical systems, APIs, and infrastructure that process vast weather datasets, execute complex algorithms, and handle extreme loads to power our resilience platform. This isn't for those who just direct from afar; we want someone who walks the walk, diving into implementation while embracing an AI-first mindset to make everything more efficient, higher quality, and faster through AI integration.
What Youll Do
Hands-on design and build scalable, fault-tolerant backend services and APIs for real-time, high-volume demands, leveraging AI to automate and optimize where possible.
Optimize data pipelines and algorithms for low-latency weather processing, using AI to enhance accuracy, speed, and self-improvement.
Lead architectural decisions with direct contributions, from microservices to event-driven systems, always questioning how AI can accelerate development.
Ensure end-to-end reliability with AI-powered monitoring and chaos engineering for mission-critical uptime.
Collaborate across teams to refine APIs, identifying AI opportunities to streamline workflows and boost product velocity.
Mentor through active participation-code reviews, pair sessions, and prototypes-to instill a builder's ethos and AI-first culture.
Iterate on AI-enhanced solutions, like intelligent data ingestion, to drive quality improvements and faster iterations.
Uphold best practices with a focus on AI for efficiency in security, performance, and compliance.

As a Senior Software Engineer within the Platform Infrastructure group, you will architect and develop the foundational Platform that powers all existing and future products. You will tackle the most complex, high-impact engineering challenges that span the entire stack- from low-level system configuration to distributed backend applications. Joining a global team, you will act as a technical lighthouse, conducting deep-dive research and resolving intricate performance and architectural issues that others cannot.

Responsibilities
Architect & Develop: Design and implement scalable, fault-tolerant backend services and infrastructure tools using Python, Docker, and Linux.
Deep-Dive Research: Act as the final escalation point for the R&D organization, diagnosing and resolving complex, ambiguous system-wide performance issues and "unsolvable" bugs.
Platform Innovation: Build long-term infrastructure solutions and internal tools to improve R&D efficiency and prevent recurring technical debt.
Technical Leadership: Drive architectural decisions using telemetry data and collaborate across global teams to coordinate cross-functional engineering efforts.

Were seeking a Principal Engineer to drive cross‑disciplinary design and execution across all R&D teams. This role spans Embedded/Linux, Backend (Java/Kotlin), Python SDK, Compiler, and Logic Design/Verification, owning multi‑team epics end‑to‑end-from planning and interface definition to high‑quality delivery. Youll be the technical driver and execution leader: aligning architecture with product needs, orchestrating interfaces between teams, de‑risking integration, and staying 50-70% hands‑on to unblock execution.
Youll thrive here if you love complex systems, multi‑threaded and real‑time challenges, hardware/logic/software co‑design, and building resilient, production‑quality systems for cutting‑edge quantum computing products.
Responsibilities
Cross‑Disciplinary Ownership & Delivery:
Own several multi‑disciplinary epics concurrently; define scope, plan milestones, manage risks, and deliver on time with high quality.
Translate product outcomes into technical roadmaps and cross‑team work breakdown structures.
Architecture, Interfaces & Integration:
Define and maintain interface contracts (APIs, protocols, HW/logic/SW boundaries, timing & resource constraints) across teams.
Establish integration readiness criteria; lead integration plans, dry‑runs, and cross‑stack troubleshooting.
Drive architectural decisions balancing performance, reliability, testability, and maintainability.
Hands‑On Technical Leadership (50-70%):
Contribute code/designs in at least two disciplines (e.g., Embedded C/C++/Linux, Python SDK, Java/Kotlin backend, compiler/LLVM/MLIR, Logic Design/Verification).
Build POCs, profiling harnesses, and integration tooling to de‑risk complex paths.
Perform deep dives on performance, concurrency, and resource utilization in HW‑constrained environments.
Quality, SDLC & Execution Excellence:
Champion clean architecture, code reviews, automated testing, CI/CD, and production hardening.
Define non‑functional requirements and acceptance gates for cross‑team epics (latency, throughput, accuracy, reliability).
Lead technical reviews; ensure documentation (design docs, interface specs, runbooks) is complete and up‑to‑date.
Mentorship & Stakeholder Management:
Mentor senior engineers, set engineering standards, and grow cross‑disciplinary capabilities.
Interface with Product, Architecture, and all development teams; communicate risks and trade‑offs clearly and early.

Were looking for a highly experienced Principal Software Engineer to join our CTO team in a cross-company, hands-on role. This position is focused on solving complex engineering challenges, driving architectural decisions, and actively contributing code across multiple teams and domains.Youll work closely with senior engineers, architects, and leadership to improve platform scalability, reliability, and engineering practices, while remaining deeply involved in day-to-day development.
On a typical day youll:
Take ownership of complex technical challenges across the platform, from design through production
Design and evolve scalable, reliable architectures supporting high traffic and rapid growth
Actively contribute code, prototypes, and reference implementations used by multiple teams
Lead and participate in architecture and code reviews across the organization
Improve engineering practices around CI/CD, testing, observability, and operational readiness
Partner with infrastructure, security, and product teams to define and meet non-functional requirements
Identify recurring technical gaps and build tools, libraries, or automation to address them
Support incident analysis and guide long-term improvements in performance and reliability.