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we are looking for a Senior Hardware Engineer to join our AV Platform HW Development group in Israel to design the next generation of autonomous driving systems.
What will your job look like?
Responsible for specifying the hardware for our autonomous driving systems
Lead the HW design process: product specification, electrical schematics, component selection, layout, hands-on testing in a lab environment, verification, accompanying production and qualification processes
Define Signal integrity simulations (LPDDR4, MIPI, FPD-link, etc.), perform power integrity (DC drop, PDN AC analysis) and analog simulations (like spice).
Manage the technical interface with our customers to derive the product hardware requirements
Work in collaboration with all the project disciplines: system architecture, mechanical and thermal, software (networking and algorithms), safety and reliability

we are looking for a Senior HW System Architect.
As a Senior HW System Architect, your role will be to work closely with our OEM partners and realize a successful integration of the ADAS to self-driving technology in these platforms.
** This role requires working from our Jerusalem site at least 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like?
Lead end-to-end life cycle of the System architecture - from analyzing OEMs (customers) technical requirements to HW architecture definition, development and verification to ensure integration ofproducts into the vehicle platform.
Work in close collaboration with various groups including algo, HW design, verification, SW architect, Mechanics, and simulations.
Provide architectural guidance and tradeoff recommendations throughout the whole design process from concept through production.
Responsible for the main components selection and technical evaluation (trade-off between cost/performance etc.)
Provide practical system architecture definition to board designers and SW/algo by managing system external Interconnects and internal interfaces, SoC, MCU, definitions and optimization (based on OEMs requirements and other constraints)

we are looking for a Senior HW System Architect.
As a Senior HW System Architect, your role will be to work closely with our OEM partners and realize a successful integration of the ADAS to self-driving technology in these platforms.
** This role requires working from our Jerusalem site at least 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like?
Lead end-to-end life cycle of the System architecture - from analyzing OEMs (customers) technical requirements to HW architecture definition, development and verification to ensure integration of products into the vehicle platform.
Work in close collaboration with various groups including algo, HW design, verification, SW architect, Mechanics, and simulations.
Provide architectural guidance and tradeoff recommendations throughout the whole design process from concept through production.
Responsible for the main components selection and technical evaluation (trade-off between cost/performance etc.)
Provide practical system architecture definition to board designers and SW/algo by managing system external Interconnects and internal interfaces, SoC, MCU, definitions and optimization (based on OEMs requirements and other constraints)

We are looking for a senior deep learning algorithm developer to join our growing team under Algorithms Group.
The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights.
Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems.
If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Own dataset curation activities- acquiring, cleaning, labeling, and tailoring multimodal data to meet model training and validation requirements.
Train and fine-tune LLMs, VLMs, and VLA models to interpret visual scenes and produce actionable navigation insights supporting autonomous vehicle decision-making.
Lead robust validation of advanced multimodal models - ensuring reliable vision-language-action alignment and consistent performance across diverse real-world driving scenarios.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Youll have the opportunity to influence the strategic direction of language-driven autonomy - proposing new ideas, shaping model capabilities, and driving innovation from research to real-world deployment.

We are seeking a highly motivated and skilled System Engineer to join our team, focusing on automotive imaging radar systems. This role is pivotal in bridging the gap between our cutting-edge radar technology and our automotive customers' evolving needs.
As the key technical focal point, you will lead customer engagements, manage system-level requirements, and ensure successful integration and performance of our radar solutions in real-world automotive applications.
What will your job look like?
Develop system requirements and architecture that align with customer needs
System architectures and flows for critical functions, including boot processes, power-on sequences, system health monitoring, and diagnostics
Engage with customers, analyze and understand customer requirements and maximize alignment with existing solutions.
Program planning with internal and external customers: define, map dependencies, and prioritize the scope of customer releases.
All you need is:

Shape the Future of Cybersecurity with Us Are you driven by deep curiosity, bold innovation, and the desire to transform cutting-edge AI research into real-world cybersecurity impact? Join Cynet, an established yet rapidly growing cybersecurity startup, where you’ll help build next-generation AI-powered security products from the ground up. You’ll be part of a small, elite, cross-disciplinary team working closely with security researchers, R&D engineers, data engineers, and product leaders.
Here, you’re not just joining a company, you’re stepping into a place where you can envision, build, and deploy foundational AI technologies that protect organizations worldwide. You will have the rare opportunity to drive innovation end-to-end, shape our future technology, and create AI systems that make a real difference in defending against modern cyber threats.
This is a role for someone who wants to put their soul into their craft, someone hungry to learn fast, experiment boldly, and turn ambitious ideas into production-ready AI solutions.

What will you do:

* Drive innovation by combining deep security research with modern AI techniques to build impactful, customer-facing security capabilities.
* Build and refine intelligent generative AI agents that drive automated cybersecurity reasoning, investigation workflows, and threat analysis.
* Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end.
* Engineer and implement core parser and model components in C++ and Python to seamlessly integrate into the Cynet Endpoint Agent and platform infrastructure.
* Use Cynet’s ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models.
* Serve as the cybersecurity expert within the Data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions.

About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.
This role follows a hybrid work model in countries where Cynet has offices (Israel, USA), while being fully remote in England, Poland, Italy, and Germany.

Are you ready to work on massive web projects and features that are being used by millions across the world? If yes, then you’ve come to the right place. As a Backend Engineer at Fiverr, you'll be responsible for implementing core features, building infrastructure, and finding innovative solutions while working with cutting edge technologies (Kotlin, Node.JS, Golang, Ruby, Kafka, MongoDB, Redis, ElasticSearch, Kubernetes, AWS and more). We're looking for top talent that's ready to level up their skills in an exciting and fast paced environment.

What am I going to do?:

* You develop it all! Including products and features.
* You’ll be building and developing modules, data pipelines, and services.
* You own it - from design to production!

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

We are seeking a Platform Engineer to drive critical infrastructure initiatives across our backend systems, with primary ownership of our revenue and monetization platform.

This is a high-impact role where you'll architect scalable solutions that serve our entire engineering organization - from payment infrastructure and pricing systems to core platform services that power our AI editing capabilities.

You'll have the opportunity to shape technical decisions across multiple domains while ensuring our commercial systems are robust, compliant, and optimized for growth.

Responsibilities:
Own and evolve our payment infrastructure, including integration with payment providers (Stripe, PayPal, etc.), subscription management, and billing systems.
Design and implement flexible pricing models and promotional systems that support diverse customer segments and go-to-market strategies.
Optimize checkout flows and payment conversion rates through experimentation and data-driven improvements.
Collaborate with Product, Finance, and Marketing teams to support new monetization features and business initiatives.
Monitor payment system health, investigating and resolving transaction failures, refunds and reconciliation issues.
Drive platform-level initiatives that improve scalability, reliability, and developer experience across our backend systems.
Develop and optimize shared platform services, APIs, and infrastructure used across engineering teams.
Create internal tools and frameworks that improve developer productivity and system reliability.
Drive initiatives to improve observability, monitoring, and operational excellence across our infrastructure.

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.

In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.

Responsibilities
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.