דרושים » חשמל ואלקטרוניקה » Silicon Validation Practical Engineer

The Senior Hardware Test Engineer is responsible for developing, implementing, and sustaining test processes and equipment used in the manufacturing of hardware products. This role ensures that products meet quality, reliability, and performance standards through robust test strategies, automation, and continuous improvement. The engineer acts as a bridge between design engineering, manufacturing operations, and quality assurance, supporting new product introductions (NPI) through to mass production and sustaining phases.
This is a great opportunity to be part of one of the fastest-growing AI infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Role and Responsibilities:
Test Development & Validation
Design, develop, and implement test plans, test fixtures and infrastructure.
Collaborate with R&D to define test requirements early in the product lifecycle.
Develop test scripts and automation software (Python, LabVIEW, C#, etc.) to improve coverage and efficiency.
Validate test coverage, yield, and reliability through statistical analysis (GR&R, Cpk, SPC).
New Product Introduction (NPI)
Support EVT, DVT, and PVT phases with test readiness and execution.
Lead test process transfer to contract manufacturers (CMs) or ODM partners.
Train CM engineers/technicians on test systems and procedures.
Ensure compliance with safety, regulatory, and customer requirements.
Manufacturing Support & Continuous Improvement
Monitor production test yields, debug failures, and drive root cause analysis (RCA).
Implement corrective actions and continuous improvements to reduce test time, cost, and false failures.
Maintain and calibrate test equipment and fixtures.
Support ECO (Engineering Change Orders) by updating test plans and equipment accordingly.
Cross-Functional Collaboration
Work closely with hardware, firmware, and reliability engineers to improve product testability and robustness.
Partner with Quality and Operations to ensure smooth scaling into mass production.
Engage with suppliers and CM partners on test strategy alignment.

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. 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.

We're seeking a passionate and experienced Senior System Engineer to play a pivotal role in shaping the technical vision and driving the next generation of intelligent maritime solutions. If you're excited about working in a fast-paced, multidisciplinary environment and leveraging cutting-edge technologies, we want to hear from you!

What You'll Do

As a Senior System Engineer , you'll be the technical lead for system-related aspects of our products. You'll work closely with cross-functional teams to design, implement, and deliver robust solutions that redefine maritime operations. Your responsibilities will include:

Define System Architecture: Establish hardware and software requirements for new and existing products.
Collaborate Cross-Functionally: Work alongside Product Management and R&D Team Leaders to ensure seamless design, implementation, and testing.
Understand Customer Needs: Analyze market trends and customer feedback to shape technical solutions.
Lead System Integration: Oversee hardware and software integration, ensuring smooth interactions between components.
Support Field Operations: Provide technical support for field trials, customer deployments, and production processes.
Problem-Solving: Identify, communicate, and resolve technical challenges throughout the development lifecycle.
Mentorship: Guide and mentor technical team members, fostering a culture of innovation and continuous learning.

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 ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are company , Cloud customers and the billions of people who use our company services around the world.
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 our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
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.