דרושים » תוכנה » FPGA Engineer

Were hiring: FPGA Design Engineer Were looking for a talented and experienced FPGA Design Engineer to join our hardware team and take on an impactful, end-to-end role in designing and implementing complex, ultra-low latency FPGA-based systems.

We are looking for a Product & Test ATE Engineer.
The Chip Test Engineer plays a crucial role in designing, developing, and implementing automated test for IC chips and systems for Automotive industry. The Test Engineer is responsible to define and develop tests, design test features, program test scripts, and analyze test results to ensure the quality and functionality of products. The Test Engineer collaborates with cross-functional teams to troubleshoot issues, improve test processes, and support product development efforts.
Responsibilities:
Develop and implement test strategies, plans, and procedures for ATE systems to ensure comprehensive testing of ICs.
Design and develop test features, test programs, and test scripts for automated test environment (ATE) based on product specifications and requirements.
Collaborate with design engineers, product manager, production vendors and manufacturing teams to understand product functionality, performance requirements, and testability considerations.
Conduct feasibility studies and risk assessments to identify potential challenges and develop mitigation strategies for test development and implementation.
Develop test program based on code languages C++ , Java and Python.
Debug, troubleshoot, and resolve issues with ATE hardware, software, and test scripts to ensure reliable and accurate test results.
Analyze test data and results to identify trends, anomalies, and potential defects, and provide feedback to design and development teams for product improvement.
Develop and maintain documentation for test procedures, specifications, and configurations.
Collaborate with vendors and suppliers to evaluate and select ATE equipment, components, and software tools that meet project requirements and performance standards.
Stay abreast of industry trends, advancements in test technologies, and best practices in automated testing to drive continuous improvement in test processes and methodologies.

we are looking for a CPU Silicon Validation Lead, Google Cloud
Responsibilities
Develop and execute comprehensive validation plans for Google's custom silicon, covering functional, performance, power, and reliability aspects.
Design and build scalable validation test infrastructure, including hardware setups, software frameworks, and automation tools on Emulation or FPGA platforms.
Lead the debugging and resolution of silicon issues, collaborating with cross-functional teams such as design, architecture, software, and firmware.
Analyze validation data to identify trends, root causes, and opportunities for improvement in silicon quality and reliability.
Build and mentor a high-performing team of silicon validation engineers, fostering a culture of collaboration, innovation, and technical excellence.

We are seeking a skilled and passionate Machine Learning Engineer who combines strong software engineering expertise with a deep understanding of data science and machine learning. In this role, you will be instrumental in developing and improving our ML systems, ensuring that both the underlying infrastructure and the algorithms powering our models are optimized for performance and scalability.
You will collaborate closely with cross-functional teams, including data scientists and software engineers, to implement end-to-end machine learning models that drive impactful business outcomes. Additionally, your work will ensure the continued improvement of our ML platform, which supports algorithmic work across the company.
What will you do?
As a Senior Machine Learning Engineer, your mission will be:
Improve existing ML library & tools allowing to explore and analyze more and more data and provide accurate feedback on the activities.
Create, design, develop, test and monitor your code in production autonomously and reliably.
Design, develop, and implement ML models and algorithms with a focus on robustness, performance, and scalability.
Collaborate with data scientists to identify and apply effective machine learning techniques and strategies for improved system performance.
Mentor other team members to improve their autonomy and Software Engineering skills.
Collaborate with variety of teams for production cases to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we constantly improve our ML system.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google'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.
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 Google platforms, we make Google's 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
Define, develop, and execute post-silicon validation content on both pre-silicon and real silicon platforms.
Drive silicon from being a chip towards becoming a product.
Debug and investigate issues along cross-functional teams such as Firmware, Software, Design, DV, - ARCH and multiple production teams.
Provide a quality functional coverage for Google designs.

We are looking for ATE Software Engineer.
As a Software Automatic Test Equipment Engineer, you will play a vital role in developing and maintaining advanced Automatic Test Equipment (ATE) software for electronic cards and calibration systems used in our cutting-edge Active Electronically Scanned Array (AESA) radar technology.
You will collaborate closely with a multidisciplinary team to ensure the functionality, accuracy, and performance of our ATE systems
Key Responsibilities:
ATE Software Development: Design, develop, test, and maintain software for Automatic Test Equipment used in electronic card testing and AESA radar calibration.
Integration: Collaborate with hardware engineers to integrate ATE software with testing equipment and devices, ensuring seamless operation.
Debugging and Troubleshooting: Identify and resolve software issues, system failures, and compatibility problems to ensure optimal ATE performance.
Documentation: Maintain accurate and up-to-date documentation.
Quality Assurance: Implement quality control measures to ensure that ATE software meets industry standards and complies with project requirements.
Team Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and project managers, to meet project milestones and objectives.
Continuous Improvement: Stay up-to-date with industry trends and emerging technologies, and contribute to the ongoing improvement of ATE software and testing methodologies..

We are looking for an experienced Technology Architect / Technical Leader to drive the design, scalability, and evolution of our Harmony SaaS security platform. You will play a pivotal role in shaping our SaaS cloud security architecture and capabilities to protect organizations from emerging threats in real-time. This is a strategic, cross-functional, and hands-on position, suitable for a builder who thrives on ownership and technical depth.
Key Responsibilities
Architect and drive end-to-end design of large-scale, secure, and high-performance SaaS systems for cloud security, detection, and response.
Lead cross-functional projects across data, detection, and platform teams to deliver end-to-end features and capabilities.
Collaborate closely with Product Managers, Engineering Managers, and UX Designers to translate business requirements into scalable solutions.
Mentor engineers and guide the technology roadmap for the Harmony SaaS product.
Ensure operational excellence and full lifecycle ownership: design, implementation, deployment, observability, and continuous improvement.
Contribute to codebases where needed to unlock complex or foundational technical challenges.
Set architectural and technical standards for data pipelines, microservices, and cloud infrastructure.
Bring technical leadership and innovation to areas such as:
High-scale detection engines and analytics
Cloud-native threat protection
Real-time event streaming and processing
Unified SaaS security policies and visibility.

we are a leader in high-scale disaggregated networking solutions. Founded in 2015, our company modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&Ts backbone traffic is running on our companys Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, we are disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the worlds leading communication networks and are experienced in networking architecture or AI infrastructure solutions.
Job Summary:
Develop and optimize high-performance datapath software for AI datacenter networking, implementing SONiC enhancements, smart NIC integration, and specialized routing features for AI workloads.
Key Responsibilities:
Implement datapath features in SONiC for AI-optimized networking scenarios
Develop smart NIC integration drivers and control plane software
Optimize packet processing performance for AI training and inference traffic
Implement RDMA and high-speed networking protocol support
Create monitoring and telemetry collection mechanisms for datapath analysis
Implement load balancing algorithms optimized for AI workload patterns
Debug and optimize datapath performance bottlenecks
Collaborate with QA teams on feature testing and validation
Contribute to open-source SONiC community and maintain vendor-specific extensions.