לוח משרות דרושים בתל אביב יפו, לחיפוש זה נמצאו 8,529 משרות

The company is a leading direct-to-consumer platform for app publishers, processing more than $1B annually. As a Senior Backend Engineer you will build and evolve core backend systems - high-scale, cloud-native services that power critical business flows - with end-to-end ownership from design and architecture to production, monitoring, and continuous improvement.
Responsibilities:
Design and maintain scalable, high-availability backend services in cloud-native environments.
Own features end-to-end: design, implementation, deployment, monitoring, and optimization.
Contribute to system architecture, API design, data modeling, and event-driven flows.
Write maintainable code and participate in design/code reviews.
Optimize performance, reliability, and resource usage.
Collaborate with Product on translating business requirements into technical solutions.
Mentor other engineers and improve engineering standards.

We are looking for a highly skilled Senior Data Platform Engineer to join our Data Platform team and play a key role in designing, building, and evolving the companys data infrastructure.

This is a hands-on engineering position focused on developing scalable data platforms, high-volume ingestion pipelines, and the foundational data systems that power analytics, product applications, AI workloads, and large-scale model execution. You will help architect our data lake, build reliable ingestion capabilities at scale, and shape the core infrastructure that supports the companys future growth.

This is an exciting opportunity to work with cutting-edge technologies and have a defining impact on the architecture and evolution of our data platform.


What Youll Do
Build complex, high-volume batch and near-real-time ingestion services while helping evolve the platforms streaming capabilities.
Design and implement data solutions for all application requirements in a distributed microservices environment
Develop and optimize large-scale data pipelines for batch and streaming use cases.
Ensure data quality, compliance, and governance.
Manage and optimize Kubernetes infrastructure, utilizing KEDA to dynamically scale resources for large-scale data processing workloads.
Own the full lifecycle of our data stack using Terraform and Kubernetes, from provisioning to application-level frameworks.
Provide technical guidance for the team, drive best practices around infrastructure, CI/CD, testing, and system design.
Deep-dive into memory management and performance tuning to ensure our large-scale distributed systems are both cost-effective and lightning-fast.

This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.

This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.

What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server).
Take models from research and turn them into production-ready, reliable components deployed on vessels.
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing.
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination.
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization.
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew).
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating.
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems.
Define and maintain clear interfaces between research code and production systems.
Work closely with research and backend teams to integrate new models into production systems.
Continuously improve system efficiency and reliability under hardware and runtime constraints.

Required RTL Design Technical Lead, Servers, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As part of our Server Chip Design team, you will use the ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead the Design Activities at IPs, SubSystems(S.S) and SoC.
Plan, execute, track progress, assure quality, report status of the assigned activity.
Lead a team of designers both directly and in teams.
Define the Block/SoC level design documents such as Micro Architectural Specifications.
Own IP, S, SoC strategies for clocks, resets, and debugs. Enforce global methodologies and drive enhancements.

We are hiring a Senior Robotics Software Engineer to build the system the autonomy runs inside. You own the runtime - ROS2 architecture, module lifecycle, orchestration, state management, configuration, fault handling, and both ends of the stack: World Model ingestion and the Vehicle Interface down to the platform control systems.

You will face hard real-time constraints, embedded compute, and a system that has to keep behaving correctly when parts of it do not. You own the stack across its full depth, from the interfaces at its edges to how the whole thing behaves in the water.

What Will You Do?
Own the autonomy runtime: ROS2 and modern C++ architecture, module lifecycle, orchestration, state management, data flow, configuration, fault handling and recovery
Implement the system's two contracts: World Model ingestion and Vehicle Interface adapters to the platform control systems
Own deployment to the vessel compute: builds, packaging, versioning, configuration management and CI
Work with system engineering and field teams on vessel bring-up, sea trials and debugging in the field
Build logging, recording, replay and observability - the ability to take any run at sea and reproduce it exactly on a desk
Integrate and operate the simulation environment (SIL)
Own reliability, timing and performance of the stack on embedded hardware

Required Data Center Operations Manager, Global Server Operations
About the job
We are not just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind our powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like our Linux cluster). You'll also address the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.
You manage a team that ensures the quality installation of server hardware and components. You coordinate over multiple sites and take charge of complicated installations/troubleshooting.
The Data Center team operates some of the most sophisticated server, storage and networking systems on the planet. Our teams ensure that our customer service level agreements and availability goals are met while maintaining environmental and safety standards, at scale.
In this role, you will be responsible for daily operations in third-party owned and operated data center facilities. You will manage a team of data center technicians and oversee the installation and maintenance of server and network infrastructure. You will take charge of complicated installations/troubleshooting and ensure timely completion of project work. As a people manager, you will look after your team's development and career growth.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of our platforms, we make our product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
Lead a team of individuals; set and communicate individual and team priorities that support organizational goals. Meet regularly with individuals to discuss performance and development, and provide feedback and coaching.
Maintain, monitor, and execute security and operational procedures and track/analyze trends to identify opportunities for improvements ensuring alignment with organizational policies.
Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues.
Support and contribute to the implementation of Environmental Health and Safety (EHS) and other compliance programs and initiatives in collaboration with other teams to ensure environmental and safety incidents are investigated, resolved, and reported.

Required Senior CAD Infra Engineer
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Work with partner teams to provide the compute, storage, and methodology needs of the chip design, verification, and physical design teams. Collaborate with Application-Specific Integrated Circuit (ASIC) teams to implement tools and methodologies.
Design and implement CAD tools, solutions, and methodologies for ASIC development. Extend the capabilities of third-party tools through their dedicated APIs.
Propose, design, and implement software automation that directly addresses bottlenecks in today's ASIC and SoC EDA flow. Lead and actively contribute to the automation and integration of physical design (floorplanning, power planning, synthesis, place and route, clock tree synthesis, timing closure, STA, DRC, LVS, DFM, etc.) in our automated flow.
Leverage your software expertise to develop the hardware automations required for physical design automation, and their software integration in our automated flow.

Required Senior Edge-AI SoC Formal Verification Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Pioneer and refine formal verification methodologies by systematically embedding AI tools to optimize verification accuracy.
Plan the formal verification strategy and create the properties and constraints for complex digital design blocks.
Utilize formal property verification tools combined with formal verification closure techniques to verify properties and apply sign-off to blocks.
Architect and implement reusable formal verification components.

We are hiring a Senior Robotics Algorithm Engineer to own the algorithmic core of our unmanned surface vessel: everything between a world state and a safe navigation command. Localization, route and path generation, continuous replanning, encounter reasoning, collision avoidance, COLREG-aware behavior and the decision logic that ties them together are yours. The maritime environment is unforgiving and only partly observable. Other vessels do not declare their intent, tracks are noisy, the sea moves under you, and the rules of the road are written for humans exercising judgment.

You will own the algorithmic core end to end. From the moment a world model arrives to the moment the vessel commits to a maneuver, every navigation decision the system makes is one you designed.

What Will You Do?
Own the algorithmic path from world state to safe navigation commands, end to end.
Design and implement global and local planning: route generation, waypoint generation, path following, and continuous replanning as conditions change.
Build collision avoidance for dynamic maritime environments: encounter detection and classification, reasoning about other vessels' course, speed, intent and uncertainty, maneuver selection and timing, and return-to-route logic.
Design mission-level decision logic: continue, deviate, hold, abort, transition to safe state and define the behavior envelope.
Build the data pipeline and own performance in simulation and at sea.

We are hiring a Principal Autonomy Engineer to architect and lead the autonomous navigation stack of our unmanned surface vessel. You will own the architecture end to end - World Model, planning, decision making, vehicle interface, and you will decide how the brain itself is built: module decomposition, behavior architecture, arbitration, state ownership, and the core technology choices behind them. You will define technical requirements and reference scenarios, own the safety and degradation architecture, and hold the interfaces between autonomy, perception, the vessel platform and the field teams.

This is not an architecture role away from the code, but it is a leadership role. You will set the technical direction of the group and you will write the parts that matter most yourself - hands on principal.

What Will You Do?
Own the end-to-end architecture of the autonomous navigation stack: World Model - Planning - Decision Making - Vehicle Interface.
Define and own the World Model Contract: representation, uncertainty, timing and synchronization, coordinate frames, confidence and degradation modes.
Define and own the Vehicle Interface Contract: command semantics, platform guarantees, latency and failure behavior, and the abstraction that keeps the stack portable across platforms.
Decide how the autonomy brain is structured - module decomposition, behavior architecture, arbitration between behaviors, state ownership, data flow.
Design the safety and fail-safe architecture: degradation ladder, safe-state transitions, operator intervention, fault containment.
Stay hands-on in planning and decision-making code where the hardest problems are.
Lead technical hiring and technical direction for the autonomy group as it grows.

About our company Founded in 2014, we are a leading flexible workspace provider with an expanding footprint in Europe, Israel and the US. Our design-led office spaces and on-demand offerings such as meeting rooms, event spaces and daily offices provide the ideal solution for enterprise companies, startups, small businesses and entrepreneurs adapting to todays fast-evolving hybrid work environment. we are considered a lifestyle brand that has been bringing hospitality into the world of work, always putting service and experience first. A profitable operator, our company has over 15.000 members in more than 40 prime locations spread across cities such as San Francisco, New York, Miami, London, Berlin, Frankfurt, Amsterdam, Tel Aviv, Warsaw, Bucharest, and more. Why youll love working at our company? we are a place where employees can thrive and further develop their skill set in an inspiring and nurturing environment: great vibe, employee wellbeing, diverse community, boutique design. Youll work with some of the best people in the industry, who love what they do. Youll be part of a global company with deep respect and understanding for the local culture of each of its markets. Our growth is intrinsically connected to that of our employees, and as an employee, youll be presented with long term career opportunities, globally. Who is the ideal worker? Youre a team player. You take pride in what you do and have a mindset of Im all in when you do it. You know when to take action and how to take the areas of your responsibility to the next level - excellence is the name of the game. You know how to read the room and understand the professional environment youre in. About the position As a Sales Manager, you will be responsible for all aspects of pre-sales and sales of our spaces in Tel Aviv, as well as customer success, retention, and upsell. You play a key role in our sales efforts through the qualification of leads and deal-closing. What will you be responsible for: Pre-sale and Sales
* Qualify SMB leads - convert them to tours and closed deals (inbound & outbound)
* Understand the customers needs, ensuring that solution that is provided matches customer expectations across all areas - functional, service, timeline, budget, quality, etc.
* Provide a suitable proposal offer (Office+AR), based on our company guidelines
* Follow up with the customer, maintaining a consistent, open channel
* Work closely with the Community Manager to achieve smooth onboarding Customer Success - Retention and Upsell
* Analyze and optimize sales targets (Office+AR) for each SMB customer
* Identify new needs/challenges for the customer and forecast future expansion
* Make sure any payment issues are taken care of on a monthly basis
* Execute SMB retention plan
* Support the Customer Experience team in terms of member support and service
* Proactively identify and pursue new customer opportunities
* Conduct outbound outreach to potential clients through calls, emails, and networking

Required Senior Embedded Firmware Engineer, DSP, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will develop the real-time software "brain" of next-generation high-speed interconnects. You will write high-performance C/C++ code that manages critical power-on, reset, and calibration sequences, ensuring our custom silicon reaches peak performance and stability in milliseconds.
Responsibilities
Design and implement real-time embedded C/C++ code for data path control, management, and telemetry.
Develop low-level drivers and Hardware Abstraction Layers (HAL) to interface with custom digital signal processing (DSP) hardware blocks and registers.
Implement and debug firmware-based adaptation algorithms for equalizer tap updates and gain control (VGA/TIA).
Write unit tests and participate in continuous integration flows to ensure firmware stability across hardware revisions and emulation platforms.

Required Power and Signal Integrity Engineer
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
As a Power and Signal Integrity Engineer, you will be responsible for the design and characterization of signal and power integrity of our IC designs. You will design the external electrical interfaces of the device, from their Signal/Power-integrity and electrical usage perspectives.
You'll set up methodologies, perform simulations, silicon characterization and correlations to ensure our IC designs meet systems design budgets and achieve the highest performance. You will work with systems architects, ASIC design, systems engineers, and partner cross-functionally with teams and external vendors/partners.
The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all services (Search, YouTube, etc.) and Cloud.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities:
Design and optimize power distribution networks (PDN) across chip, package, and board levels. This includes managing power/ground planes, decoupling capacitors, and power gating strategies.
Conduct both pre-layout and post-layout power integrity simulations to analyze power and ground noise (SSN/SSO), voltage drops (IR drop), and electromagnetic interference (EMI).
Implement and verify low-power design methodologies, such as multi-voltage designs and clock gating, using power intent formats like UPF/CPF.
Generate precise electrical models (e.g., S-parameters, SPICE models) for components such as packages, PCBs, and connectors for use in simulations.
Execute lab measurements utilizing test equipment like oscilloscopes, Vector Network Analyzers (VNA), Time Domain Reflectometers (TDR), Spectrum analyzers to validate simulation outcomes and debug signal and power-related issues on silicon prototypes and boards.

Required Senior Edge-AI SoC Design Verification Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will work as part of a Research and Development team. You will build verification components, constrained-random testing, system testing, and drive verification closure. You will verify digital designs, collaborate closely with design and verification engineers on projects, and perform direct verification. You will build constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full life-cycle of verification, which can range from verification planning, test execution, to collecting and closing coverage.
The AI and Infrastructure team is redefining whats possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
We're the driving force behind groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Cloud, Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog and Universal Verification Methodology (UVM), or formally verify designs with SystemVerilog Assertions (SVA) and industry leading formal tools.
Identify and write all types of coverage measures for corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.

We're looking for a hands-on systems engineer to lead prototyping and low-volume assembly (tens to hundreds of units) - taking hardware from first builds to a repeatable process, designed with scale-up and BOM cost in mind.

Responsibilities
Lead prototype and pilot builds; turn lessons into a repeatable assembly process.
Plan assembly flows, fixtures/jigs, and the right (minimal) automation - engineering simplicity first.
Own the project plan (Gantt) and budget; design for scale-up with BOM cost awareness and DFM feedback to R&D.
Define test and inspection strategy, including environmental testing where needed.
Measure and improve yield and rework with data; work daily with R&D, production, and vendors on the floor.