דרושים » רפואה ופארמה » Technical Manager for Space Programs

We are looking for some exceptional talent to join our R&D team as a System Engineer.
Your Day to Day:
Translation of Product Requirements to System Requirements
Definition of detailed requirements for sub-systems in a variety of domains (SW, Algo, HW, Electro-optics, Image sensor, Lasers, FW, mechanics, thermal)
Hands-on work with all groups in R&D, Product, PM, Quality, and Operations to ensure compliance with all system requirements
Plan and design system integration test scenarios and V&V process
Research and analysis of system limitations for coming up with the best-performing product
Lead risk management and DFMEA processes

We are looking for some exceptional talent to join our Design and Engineering team as a System Platform Team Lead
Your Day to Day.:
Lead a multidisciplinary team of embedded SW, FPGA/logic, verification and software engineers
Own the system-level architecture and execution of various SoC-based camera processing and control platforms including Xilinx MPSoC
Oversee development across ARM A53/R5, Linux, bare metal, FPGA logic, HLS, micro-controllers, host software, interfaces and system integration
Lead implementation and validation of image-processing algorithms developed by the algorithm team
Drive technical planning, design reviews, integration, debugging, risk management and execution
Stay hands-on through selected complex or quality-critical tasks to maintain deep system understanding
Coordinate closely with algorithms, electronics, sensor and system teams

Were looking for a talented Chipset System Engineer to join our innovative System Engineering group.
Responsibilities:
Participate in the development and production of radar sensors and chip-based (SoC) systems
Debug our Radar ASIC platforms, processors, and chip subsystems
Define subsystem requirements, technical specifications, interfaces, and development workflows for radar and chip-level systems.
Simulate and validate radar and chip system performance against defined requirements.
Solve complex multidisciplinary problems and drive debugging and system integration across chip and radar domains.
Support customer-facing product evaluations, from planning and execution through analysis and issue resolution.
Interface with multi-disciplinary product development team in support of design, integration and test of automotive radar and chip systems.

Were looking for a talented Radar System Engineer to join our innovative system team. As a member of our team, you'll work on multidisciplinary system design, which combines cutting edge RF, digital, signal processing, software, hardware and chips development.
Responsibilities:
Participate in the development and production of radar sensors
Debug our Radar ASIC platforms and processors
Develop subsystem specifications and process flows
Simulate and validate Radar system performance
Solve diverse complex problems and help in the debugging and integration process
Support and manage the product evaluation process involving customers.
Interface with multi-disciplinary product development team in support of design, integration and test of automotive radar systems
define system requirements for various projects.

We are looking for a passionate and talented SW & System Architect to join our SW Architecture group. The position includes researching new technologies with focus on architecture definition of groundbreaking technologies in different domains - networking, security, virtualization and orchestration. Our Architecture group consists of world-class architects responsible for designing the next generation state-of-the-art architecture for our DPUs & NICs technologies.

You will play a key role defining the future of cloud solution stack, from HW to Application level, including orchestration, provisioning, network programmability and SDN. You will be working with various teams around the world including SW architects, R&D, product, solution architects and external customers. This position offers a unique and exceptional opportunity to have real impact in a dynamic, technology-focused company shaping the future of data-centers technologies.

What you will be doing:

Lead architecture for cloud-networking including orchestration, provisioning and security solutions.

Design state-of-the-art system architecture for DPUs & NICs technologies.

Build end-to-end solutions from application level to HW.

Responsible for writing effective, clear and reliable architecture specification.

Evaluate new technologies and innovate & rapidly develop POC prototypes that can then be developed into full-fledged products/solutions.

Work closely with different teams around the world including sw & hw architects, R&D, product, solution architects, application and field engineers and more.

Work with high profile customers on advanced and future technologies and solutions.

We are is looking for a strong technical senior architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs.

As a Senior architect in the AI Networking Research team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads, AI systems communication and accelerations and much more. You will also be leading architectural and development efforts across numerous technological fields, related to the modern AI data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more.

What youll be doing:

Enhance our GPU Networking offerings for accelerating AI workloads, such as our Dynamo, our NIXL and our UCX, tailored to the unique requirements of AI workloads.

Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving.

Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.

Lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, AI-specific technologies.

Lead proof-of-concept development to evaluate and drive such technologies.

As a System Verification Software Engineer, you will join a unique team that works at the heart of chip development, at the HW/SW boundary, collaborating across teams to ensure our semiconductor platforms meet the highest standards before they reach production, as we lead the market with our cutting-edge devices.
Youll be part of a team that verifies Graviton chips across emulation, silicon, and AWS production fleets-developing the tests, automation, and debug tooling that give us confidence our features function correctly on real hardware.

Key job responsibilities
* Verify and validate Graviton chips in emulation, silicon, and post-production.
* Develop tests that ensure our features function as intended.
* Build automation and debugging tools for silicon regressions and bring-up.
* Collaborate with hardware design and software teams to identify, analyze, and resolve design issues and verification gaps.
* Debug failures across diverse platforms (emulation and silicon).

We are seeking for a passionate and skilled Validation Engineer to join our core R&D team. As a Validation Engineer, you'll play a critical role in ensuring the quality, reliability, and performance of our state-of-the-art quantum control systems. You will design, develop, and execute validation plans for complex hardware-software systems, contributing directly to the advancement of quantum technologies.
This role is ideal for engineers with good programming skills, a strong technical culture, and a passion for working at the intersection of software, hardware, and quantum science.
Main Responsibilities:
Design and Implement Validation Methods: Design, implement and execute comprehensive validation test plans for our quantum control platforms and solutions
Automated Tests and Automation Frameworks: Contribute to the development of automated testing infrastructures to streamline validation processes and implement system tests based on the defined test plans
AI/ LLM Tools: Apply AI/LLM tools to accelerate test code generation and continuously improve the validation toolchain, driving measurable gains in engineering productivity
Data Analysis: Collect, interpret, and document data from system tests/experiments to assess system performance and identify areas for improvement
System Debugging & Troubleshooting: Identify, reproduce, and analyze issues across system components with other engineering teams
Collaborate Across Teams: Collaborate closely with R&D and product teams to define test coverage and quality acceptance criteria
Release & Quality Assurance Process: Participate in regression testing and CI/CD for new feature rollouts and product releases
Maintain and Improve Test Setups: Oversee the setup, calibration, and enhancement of test equipment and environments.

The Networking Diagnostics team is seeking a highly motivated and experienced engineer. This person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (HPC) clusters across the world. We are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware.

What you'll be doing:
Design & Implement: Architect and develop high-performance diagnostic tools and frameworks using Python, tailored for our latest networking platforms.
Performance Optimization: Drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and real-time monitoring without latency.
System Diagnostics: Take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
Collaborative Problem Solving: Partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach.
Autonomous Execution: Own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments.

Required Silicon Test and DFT Engineer, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Responsibilities
Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies and manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
Verify test solutions on pre-silicon models (simulation or emulation) and develop Automated Test Equipment (ATE) test modules and binning flows.
Develop and validate test programs on Automated Test Equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
Manage product sustainment support, including analyzing volume data, improving test time and yield, assessing test escapees and return merchandise authorizations (RMAs), localizing failures, implementing containment measures, and partnering with design, manufacturing, and quality and reliability teams to identify root causes and implement corrective actions.
Build tools, flows and methodologies to continuously improve and automate the testing life-cycle.