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We are looking for talented engineers to join the System Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of state-of-the-art products within a disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment.

A Senior Security Engineer is expected to be proficient in multiple domains. This is a leadership role within the Annapurna security team and you will be sought out for advice on technical and business issues. Efficient time management skills are required along with the ability to deliver results in the face of uncertainty. A Senior Security Engineer will proactively share knowledge across the community and will be a key company resource in one or more of the core areas of security. He will lead security reviews of large projects while setting standards and defining best practices for our Security teams.

Engineers in this role must show exemplary judgment in making technical trade-offs between short versus long term security and business goals. They must also demonstrate resilience and navigate difficult situations with composure and tact. A broad understanding of the business and its interconnections is required. This position will also provide training, advice, and mentorship to other engineers throughout us.

The Graviton Software team is looking for Software Engineers to develop tools to drive the optimization of open source and internal applications. part of us, designed Graviton as a strategic initiative to improve how software works at our scale. Graviton is Arm-based CPU that delivers better performance, lower price and lower carbon footprint over comparable x86-based instances.

Key job responsibilities
As a Software Developer, you will:
- Build software framework for tools to analyze performance of hardware and software components.
- Leverage existing perf tools like sysstat, sysctl, perf, etc.
- Automate the collection and analysis of processor, OS and workload performance data.
- Help external customers and various internal services like Lambda, Elastic Map Reduce, ElastiCache, and RDS to troubleshoot bottlenecks and to optimize the architecture, algorithms, and deployment on Graviton.
- Work on Linux and other open source code, improving it and contributing the changes back to the community.
- Play an instrumental role in driving the roadmap to deliver cost-effective and performant computing systems.
- Use and further develop your deep knowledge in areas including design, implementation, and data analysis.
- Have the opportunity to lead the innovation and deliver software that powers the world largest cloud provider.
- If you are already an open source developer or passionate about it, you will be able to continue your passion and contribute back to the community across all those projects.

Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, 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 ATE test modules, DC tests, binning, production and characterization 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.
Support product, volume data analysis of screening and characterization data, test time and yield improvements, assess test escapees and Return Materials/Merchandise Authorizations (RMAs), localize failures, implement containment measures and partner with design, manufacturing, quality and reliability teams to root cause and implement corrective actions.
Develop tools, flows and methodologies to improve and automate the testing.

Join our group and take a major part in redefining the future of AWS cloud. Were searching for engineers with a passion for networking to develop SRD (Scalable Reliable Datagram). SRD is a high-performance, low-latency transport protocol used within our infrastructure to optimize network performance. SRD powers several high-impact, cutting-edge products, including on-demand ML and HPC platforms leveraging EFA, next-generation storage services built on EBS, and the future of AWS network traffic.

As an Embedded Software Engineer on the SRD team, your primary responsibility will be to develop and optimize SRD technology across AWSs network infrastructure. You will work on cutting-edge, high-performance platforms that power ML, HPC, and storage-intensive workloads.
Your role will involve designing, deploying, and maintaining the SRD codebase, ensuring its reliability and scalability to meet the demands of diverse applications. You will gain in-depth knowledge of the various platforms and services running SRD within AWS, diving deep to understand their unique challenges and complexities.

Collaboration will be key, as you will work across multiple teams at different layers of the software stack. You will also contribute to defining new hardware modules and enabling offloads to enhance performance.

Key job responsibilities:
As an Embedded Software Engineer in the SRD team your primary role will be to develop and optimize the implementation of SRD technology across AWS's network infrastructure. Your responsibilities will encompass designing, deploying, and maintaining SRD code-base, ensuring its reliability and scalability to accommodate the demands of various applications.
Youll be familiar with the different platforms and services that run SRD in AWS. Youll need to deep-dive to understand the different challenges and complexities each of them has. Youll work with multiple teams both on layers bellow and above SRD SW stack often even define new Hardware modules and enable new offloads to optimize performance.

we are looking for an Embedded SW Engineer for SystemC Modeling that include Performance and Program view Modeling. You will be part of VLSI emulation team , working on current and next-generation designs for next generation sensors.
The SystemC models are fundamental parts of the VLSI chip infrastructure, they are used during HW architecture definition phase and by SW developers for system shift left.
What will your job look like:
You will work on Critical performance analysis and optimizations on the ASIC micro architecture as multi-NOC , DDR and CPU .
You will work on developing SystemC models that describe the RTL models on High level language and enable true system . level shift left for the embedded SW team.
You will have the opportunity to work on state-of-the-art simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/Algorithms developers.

our company's Autonomous Driving Software Group in Haifa is looking for a Teach Lead to join our Team.
Our group is responsible for writing new code to replace the existing code with a new design.
We develop the software architecture system and tools to enable support for many new design wins and scale the company project to run efficiently in vehicles contributing to saving lives and enabling autonomous vehicles.
What will your job look like?
You will be part of the design of the car application that controls the main execution flow of various software components running on the company's chip. Additionally, it manages many sensors and their inputs, such as cameras, radar, and car signals.
The application integrates these inputs and feeds them into various algorithms to create a comprehensive worldview for the car.
The project is challenging both in its real-time complexity of a system with multiple sensors and being part of the overall automotive car system architecture.
Provide guidance and mentorship to software development teams.
Defining work process tools and technologies to enforce our customers' requirements.
Working in a large group of software developers with cross-team collaboration.

our company, a world leader in driver assistant systems and autonomous vehicles, is looking for silicon validation Tech Lead engineer for the range of its next generation SoCs supporting its radar systems.
Our team is responsible for validating our company's radar SoCs, utilizing Pre-Silicon environments, as well as Post-Silicon platforms.
We are developing fully embedded C++ based validation environment for our needs.
You will be taking part in developing anything from environment and drivers through system modules such as file system, network stack, memory management and more, and up to complex automation tools in both C++ and python.
What will your job look like
Get a deep understanding of our chip hardware IP blocks, both analog and digital.
Develop our validation environment.
Develop, port, or add features to the product drivers using Technical Specs and existing modules.
Define, develop and execute various complex validation scenarios on the SoC.
Debug complex SoC problems using embedded GDB, JTAG probes, going down to signal level using scopes.
Take part in Next Gen SoC's Power-On's and platforms Bring-Up's.
Collaborate with other SW/Embedded and HW/Electrical Validation teams across the company.

Define, develop and execute post-silicon validation content on both pre-silicon setups and real silicon platforms in the lab.
Drive silicon from being a chip towards becoming a product.
Debug and investigate issues along cross-functional teams such as Firmware (FW), Software (SW), Design, DV, ARCH and multiple production teams.
Provide quality functional coverage for Google designs.

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 and/or FPGA platforms.
Lead the debugging and resolution of complex 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.