דרושים » הנדסה » system Engineer

our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people.
Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As a worker, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team that is building AI platform for operating AI factories to make a lasting impact on resilient operations of AI clusters.
What will you be doing:
You will bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs.
develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems. We will bring to bear the findings for product improvements!
deliver compelling technical presentations and lead hands-on demos or training. You'll also handle evaluation deployments (POC/POV) and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey.

we are a global leader in control systems for quantum computing-a field on the verge of exponential growth.
Our innovative hardware and software mark a groundbreaking approach to quantum computer control, scaling from individual qubits to expansive arrays of thousands.
At the core of our company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers. Our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
Were seeking a Software System Engineer to ensure seamless operation and integration of our complex, multidisciplinary system. This role spans multiple software domains and interfaces with hardware, logic, and validation teams. Youll act as a technical leader, driving design and implementation of system-wide features, resolving intricate integration challenges, and building infrastructure that accelerates development across the Software group.
Youll thrive here if you love working on large-scale, multi-threaded systems, solving cross-disciplinary problems, and building robust, production-quality solutions for cutting-edge quantum computing products.
Responsibilities
System Integration & Technical Leadership
Ensure proper operation and integration of all software components and their interfaces with logic and validation modules.
Lead design and implementation of multidisciplinary features, balancing performance, reliability, and maintainability.
Investigate and resolve complex system-wide issues and bugs across multiple teams.
Infrastructure & Tooling
Develop and maintain internal tools and infrastructure to enhance development efficiency and integration readiness.
Build profiling, debugging, and automation frameworks to support high-quality delivery.
Cross-Team Collaboration
Key stakeholder in the definition of interface contracts (APIs, protocols, timing/resource constraints) across software and hardware boundaries.
Drive integration plans, dry runs, and troubleshooting for system-wide features.
Quality & Execution Excellence
Champion clean architecture, code reviews, automated testing, and CI/CD best practices.
Ensure documentation (design specs, interface definitions, runbooks) is complete and up-to-date.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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 a CPU Workload Analysis Researcher within our company Cloud's MSCA organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the company Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's 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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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 a CPU Workload Analysis Researcher within our company Cloud's ML Systems and Cloud AI (MSCA) organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. You will join a Research and Development team focused on analyzing and profiling workloads requirements within the xompany Cloud environment. Your role will involve conducting in-depth research on CPU optimization, feature development, and ML usages over compute platforms, contributing to identifying key areas of investment and future opportunities. This role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. Your work will directly influence the next generation of hardware experiences for millions of our company users and Cloud customers.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our 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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Plan and execute detailed analysis of CPU workloads within the company Cloud infrastructure, analyze trends and map future requirements.
Collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to CPU performance and efficiency.
Develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company Cloud platforms.
Analyze the impact of machine learning applications on CPU usage, identifying opportunities for optimization and feature enhancements.
Lead the investigation and development of metrics to measure CPU performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

we are a dynamic and innovative startup thats digitizing the physical world by turning passive items into active communicators. If you are passionate about building cutting-edge solutions, thrive as a key player in a growing startup thats shaping the future of retail fashion technology bringing GenAI-powered into production - join us to create something remarkable together.
We are looking for an experienced System Engineer to lead the definition and integration of our next-generation wireless IoT systems. You will possess a unique "end-to-end" perspective: understanding the physics of the RF/Analog silicon, the intricacies of the BLE protocol, and the full integration between devices to network connectivity. You will work closely with Silicon, FW, and Cloud teams to ensure robust connectivity and optimized power consumption.
Responsibilities
System Architecture: Define system-level requirements for Wireless IoT products, focusing on RF performance, power budgets, and data throughput. Faimilairy with in-door wireless including antenna design consideration is an advantage.
Silicon & RF Interface: Work with Silicon development teams to define RFIC specs and resolve integration challenges (Analog/RF mixed-signal flows).
Connectivity Pipeline: Define the HW to Firmware to Ethernet or wireless pipeline.
Integration & Debug: Hands-on bring-up of new silicon/hardware in the lab, debugging complex issues spanning from RF interference to network protocol failures.

Flytrex is revolutionizing on-demand delivery in the US suburbs, using drones to deliver food and retail directly to customers’ back yards. Together with partners such as Uber & DoorDash, we’re turning science fiction into reality. We are looking for a reliability-minded Electronics Engineer to join our multidisciplinary team in center Tel Aviv. This video gives a high level explanation of what we are doing.. In this position you will:
* start from derivation of design requirements from the systems level and product architecture.
* develop electronic module designs from inception to production (EVT, DVT and PVT) in multiple general areas: battery management, motor control, flight control, sensors, embedded Linux, ATE jigs and other support equipment.
* take ownership of electronic designs.
* be the technical liaison with contract manufacturers.
* ensure continuity of production, adjusting the design as required to keep form, fit and function.
* design and develop testing & checkout coverage, strategy and procedures for production.
* implement, track & document corrective and design changes.
* support bring-up & debug of modules, and perform root cause analysis on anomalies.

system Engineer
We are looking for an experienced system Engineer to lead the design and development of complex hardware systems, with a strong focus on board-level design and system integration.
Responsibilities:
Define system architecture and hardware requirements
Lead board-level design and system -level integration activities
Work closely with hardware, software, and mechanical teams
Support board bring-up, debugging, and validation
Write and maintain system and design documentation
Participate in design reviews and technical decision-making.

At our company, our vision is to be earths most customer-centric company. In 2006, we launched our company Web Services, giving customers access to the same cloud technology we built to serve millions of shoppers. our company Web Services (AWS) is a secure cloud services platform, offering computing power, database storage, content delivery, and other functionality to help businesses scale and grow. Millions of businesses are using AWS cloud solutions to build sophisticated applications with increased flexibility, scalability and reliability.
The Role:
An AWS Technical Account Manager is a trusted advisor and cloud operations architect for our Enterprise Support customers. As a trusted advisor youll have a direct impact in helping our customers gain the most value from cloud technology. Youll craft and execute strategies to drive our customers adoption and use of AWS services. This includes a range of products including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT and many more.
Our Technical Account Managers partner with some of the most iconic businesses in the country. These range from rising startups building their business from scratch through to large enterprises going through significant transformation. Youll provide advice on architecture, support strategy, project and launch planning as well as ongoing operational issues.
Key job responsibilities
* Youll advise on solutions, provide technical guidance and advocate for the customer
* Ensure AWS environments remain operationally healthy whilst reducing cost and complexity
* Develop trusting relationships with customers, understanding their business needs and technical challenges
* Using your technical acumen and customer obsession, youll drive technical discussions regarding incidents, trade-offs, and risk management
* Consult with a range of partners from developers through to C-suite executives
* Collaborate with AWS Solutions Architects, Business Developers, Professional Services Consultants, and Sales Account Managers
* With a bias for action, you'll proactively find opportunities for customers to gain additional value from AWS
* Provide detailed reviews of service events, monthly & quarterly metrics, detailed pre-launch planning
* Solve a variety of problems across different customers as they migrate their workloads to the cloud
* Uplift customer capabilities by running workshops, brown bag sessions, etc.

Were hiring a hands-on, field-oriented Integration Engineer to own the critical path between R&D and real-world deployment. This is a builder/operator role responsible for turning advanced prototypes into stable, reliable systems at sea. You'll spec hardware, assemble and validate kits, lead on-site installs, automate deployment and test procedures, and close the loop with issue diagnosis and remediation.

This is an opportunity to shape the physical and operational backbone of the next generation of AI-powered maritime infrastructure from the ground up, with full ownership and impact, alongside the most innovative team in the most advanced company in this space.

What Will You Do?
Specify hardware components and prepare detailed BOMs for field deployment kits.
Assemble and validate systems via bench testing, HIL/SITL setups, and lab acceptance procedures.
Develop and maintain robust installation, commissioning, and pre-deployment validation flows.
Automate image builds, deployment pipelines, and pre-flight health checks.
Monitor system health, lead incident diagnosis, and implement field-resilient fixes.
Create and maintain runbooks, SOPs, and installation checklists; train local partners and contractors.
Continuously improve field processes: reduce MTTR, simplify logistics, and scale deployment repeatability