דרושים » חשמל ואלקטרוניקה » Software Automation Engineer

We are looking for Software Automation Engineer to help us develop a semiconductor platform based on a revolutionary architecture.

Take part in the development of products within a disruptive system architecture. Youll have the opportunity to work in a dynamic, open, fast-paced environment, developing the technologies that power the worlds largest cloud provider. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world.

Key job responsibilities
As Software Automation Engineer, you'll be responsible for creating ML (Machine learning) and HPC (High performance computing) automation and tools, create CI/CD flows and implement effective dashboards with high scale.

Take part in the development of cutting-edge products within a disruptive system architecture. You will have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.

Looking for exceptional engineers to join the top-tier team that is developing the next generation semiconductor platform, based on a revolutionary architecture. Engineers will participate in design activities, working on the next generation of our products.

You are invited to take part in developing, integrating and deploying cutting-edge technologies, starting with identification and definition of project requirements, architecture, feature development, and collaboration with the different groups.
Your design will be integrated into the nitro SoC, on millions of servers worldwide. This is an opportunity to have a large-scale impact.
As a VLSI engineer and a member of the Nitro project, you will have an impact over the device through its entire lifecycle, from the product definition stage to mass production. You will work in close collaboration with multiple groups, including Architecture, Software, Verification, Backend, and DFT.

Key job responsibilities
* Full ownership of one or more IPs within the product:
-Micro-architecture.
-RTL coding and debug.
-Synthesis and timing closure.
-Sign-off.
* Supporting the Verification and Emulation teams: Test plan, Coverage review.
* Ensuring that the chip meets quality and reliability standards.
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical design.

We are looking for a junior Embedded Software Engineer, to join us in building the next generation of networking products. Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, fast-paced environment. Working for Annapurna Labs is thrilling and a constant learning experience. As an embedded SW development engineer, you will be responsible for developing features for Annapurna Labs next-generation hardware, to enable high network bandwidth and packets-per-seconds (PPS) performance, with consistently low latency. You will work to bring up a broad selection of instance types, optimized for various use cases, to suit each of our customers needs, such as varying combinations of CPU, memory, storage, and networking capabilities. As a SW development engineer, you will play a key role in shaping architecture definitions and SW system designs, and help to resolve complex customer issues. You will continuously evolve technically, while working to monitor AWS cloud health, maintain high quality standards, develop highly-optimized code, and provide exceptional customer satisfaction.

Key job responsibilities
We will be conducting a unique onboarding training program, where you will be studying the following with our technical experts and team leaders:
* Embedded systems basics.
* Annapurna technologies in EC2.
* Cloud compute development.
* Networking 101.

We are looking for talented engineers to help us develop a semiconductor platform based on revolutionary architecture.
Take part in the development of cutting-edge 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. Our Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world.
We are looking for talented physical design implementation engineers to join our excellent Physical Design team, which develops our next generation of products for the cloud market.

Key job responsibilities
* Daily involvement in all aspects of physical design chip development (RTL2GDS), including floorplanning, synthesis, clock tree synthesis, place and route, static timing analysis, power and noise analysis, physical verification testing, and equivalence checks.
* Being actively engaged in design-backend convergence aspects and defining timing constraints.
* Taking full end-to-end responsibility for the physical design of macros and clusters level, according to specifications, under challenging constraints, with focus on optimizing power, area, and performance.
* Participation in the development of design flows, using a variety of EDA tools and vendors such as Synopsis and Cadence.
* Engaged in defining implementation and signoff methodologies.

Are you passionate about systems programming at the intersection of hardware and software? Do you want your code to directly accelerate the world's largest AI training and inference workloads? The Elastic Fabric Adapter (EFA) Drivers team is looking for Software Development Engineers to design and implement the kernel drivers and userspace libraries that power high-performance networking for AWS's AI/ML and HPC infrastructure.

EFA is the custom network interface that enables thousands of GPUs and accelerators to communicate at near-wire-speed bandwidth and low latency, making it a critical enabler of both foundation model training and real-time inference serving at unprecedented scale. When customers train the next generation of large language models or serve billions of inference requests with tight latency SLAs on our EC2 P5, P6, or Trn instances, it's our driver stack that moves the data.

Key job responsibilities
- Design, develop, and optimize Linux kernel drivers (RDMA/EFA) and userspace provider libraries (rdma-core) that ship to millions of EC2 instances.
- Work directly with custom hardware - collaborate with chip designers to bring new silicon capabilities to life in software.
- Contribute to the upstream Linux kernel RDMA subsystem and rdma-core open-source project.
- Architect solutions for next-generation networking features: GPU-direct RDMA, adaptive routing, collective offloads, and multi-path transport.
- Build monitoring and automation tools to enhance driver testing for functionality, reliability, and performance.
- Own the full lifecycle: from initial hardware bring-up and feature enablement through testing, deployment, and production troubleshooting across the global AWS fleet.

we are looking for a QA Automation Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
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 workers 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.

We are looking for a Senior Network SW Engineer to join the SW 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 Amazon Web Services (AWS) 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.

Key job responsibilities
As a Senior Network Software Engineer on 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. An essential part of your role will involve conducting extensive network simulations to evaluate system performance under different conditions, enabling you to identify potential bottlenecks and inefficiencies. Using these simulations, you will troubleshoot network issues and implement robust solutions, leading to minimal data loss and latency. Leveraging your in-depth understanding of network protocols and AWS infrastructure, you'll refine and improve the SRD system's performance. Furthermore, you will be expected to mentor junior team members, leading projects to advance the SRD capabilities within the AWS environment. Staying updated with the latest industry trends and incorporating them into strategic network service planning.

We are looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.
Take part in the development of state-of-the-art products within a disruptive system architecture. You will have the opportunity to work on the technologies that power the world's largest cloud provider, in a dynamic, open, and fast-paced environment.

We are looking for talented engineers to join our Chip Design team, working on the Graviton product line. Our chip design team is in charge of defining the product's features and working on their architecture and development. Our team members collaborate with multiple teams from different disciplines such as product definition, pre and post silicon validation, physical design, software and others contributing to a full cycle of chip development from idea to mass production. Your design will be integrated into the Graviton products, an important part of the AWS data centers worldwide. This is an opportunity to have a large-scale impact.

Key job responsibilities
Own a domain or sub-domain within an SoC - Take full responsibility for its entire lifecycle: Architecture and micro-architecture definition Writing RTL code in Verilog. Supporting the Verification and Emulation teams with test planning, debug, and results review Ensuring the final chip meets quality and reliability standards Collaborating with cross-functional teams - Partner with Product Definition, Verification, Emulation, Software, and Silicon Integration teams to deliver cohesive solutions.

We're looking for an exceptional senior Chip Design Engineer to join our Nitro team and help shape what comes next. You'll work alongside a world-class, fast-moving engineering team, take full ownership of critical IP blocks, and see your work deployed at a scale no other platform can match- powering hundreds of thousands of businesses across 190 countries.

As a Senior Chip Design Engineer on the Nitro team, you will take full end-to-end ownership of one or more critical IP blocks within the product, guiding them from micro-architecture definition through RTL design, debug, synthesis, timing closure, and final sign-off before tape-out. Your work will ship in silicon that powers AWS at global scale.
You'll partner closely with the Verification and Emulation teams to shape test plans, review coverage, and close gaps early in the design cycle. Beyond your own IP, you'll collaborate across disciplines with Product Definition, Software, Physical Design, and Verification teams to deliver a fully integrated, production-ready chip.

Key job responsibilities
* Full ownership of one or more IPs within the product:
Micro-architecture definition.
RTL coding and debug.
Synthesis and timing closure.
Sign-off before tape-out.
* Supporting the Verification and Emulation teams: Test plan development, coverage review.
* Ensuring the chip meets quality and reliability standards.
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical Design.

We are looking for a Senior Network SW Engineer to join the SW group and take a major part in redefining the future of our 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 Amazon Web Services (AWS) 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 a Senior Network Software Engineer on 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. An essential part of your role will involve conducting extensive network simulations to evaluate system performance under different conditions, enabling you to identify potential bottlenecks and inefficiencies. Using these simulations, you will troubleshoot network issues and implement robust solutions, leading to minimal data loss and latency. Leveraging your in-depth understanding of network protocols and AWS infrastructure, you'll refine and improve the SRD system's performance. Furthermore, you will be expected to mentor junior team members, leading projects to advance the SRD capabilities within the AWS environment. Staying updated with the latest industry trends and incorporating them into strategic network service planning.