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We are seeking a driven and experienced Backend Developer to join our dynamic R&D team. In this role, you will lead complex backend projects end-to-end starting from understanding functional specifications, through writing detailed technical documentation, designing system architecture, developing and deploying high-performance backend services using modern technologies and cloud infrastructure, while closely collaborating with Product, DevOps, QA, and fellow developers to deliver robust and scalable systems, and providing technical leadership through code reviews and mentoring junior team members.
What youll do:
Lead complex backend projects from functional spec, through writing detailed technical documentation, architecture, development, and deployment.
Build and maintain high-performance backend services using modern technologies and cloud infrastructure.
Collaborate closely with Product, DevOps, QA and fellow developers to deliver robust, scalable systems.
Provide technical leadership, conduct code reviews, and guide junior team members.

abra is looking for a Data Scientist to join a Model Development Team The team leads the development of strategic, data-driven projects across multiple business units, leveraging advanced AI technologies and models in areas such as marketing, customer experience, pricing, and technology. Role Responsibilities
* Develop and deploy models on AWS infrastructure
* Extract insights from data using advanced analytical tools and AI technologies
* Define algorithmic solutions to address business challenges
* Analyze structured and unstructured data
* Present findings and business insights to stakeholders
* Measure and evaluate the effectiveness of model outcomes

Required DFT Engineer, Nitro Team
Description
AWS Utility Computing (UC) provides product innovations from foundational services such as our Simple Storage Service (S3) and our Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, our Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Join a groundbreaking semiconductor team where your expertise will directly power the world's largest cloud infrastructure. At Annapurna Labs, you'll be instrumental in developing next-generation chip technologies that transform how global businesses leverage computing power, working at the intersection of innovative design and cutting-edge technological advancement.
Key job responsibilities
* Develop comprehensive Design-for-Testability (DFT) strategies for next-generation semiconductor platforms
* Collaborate across multiple engineering domains to ensure robust chip design and verification
* Generate and optimize test patterns using advanced methodological approaches
* Conduct detailed logic design and verification processes
* Support chip bring-up and contribute to the entire device lifecycle from definition to mass production
A day in the life
Your day will be dynamic and collaborative, diving deep into semiconductor design challenges. You'll engage with multiple engineering teams, crafting sophisticated test strategies, developing intricate logic designs, and contributing to the entire chip development lifecycle. Expect to transition seamlessly between technical problem-solving, collaborative design sessions, and strategic planning.

Looking for an experienced Embedded Software Engineer, to join us in building the next generation of our products.
In this role you will be leading tasks involving peers from multiple disciplines, while enjoying every step of the journey.
You will have the opportunity to work on the heart of the network engine, at the worlds largest cloud provider, in a dynamic, open, fast-paced environment.

Required Machine Learning Performance Engineer
Description
Our team is responsible for the AWS Neuron software stack, which powers Generative AI and other advanced ML workloads on AWS's custom-built ML accelerators Inferentia and Trainium. These accelerators deliver best-in-class performance and cost-efficiency for ML inference and training in the cloud.
We're building a new core group of engineers in TLV (Tel Aviv) to drive innovation in ML systems performance and software. As a Machine Learning Performance Engineer, you'll help shape the direction of the team from the ground up and work on:
Optimizing system performance across the entire ML software stack
Analyzing high-performance ML workloads running on Annapurna hardware
Developing high-performance kernels for critical ML operations
Enhancing the Neuron SDK to improve developer experience and system capabilities
Collaborating across Compiler, Frameworks, and Hardware teams to maximize end-to-end performance
As part of the Performance Engineering Team, you'll contribute to projects involving instruction scheduling, memory management, parallelism, kernel optimization, and compiler enhancements to maximize end-to-end performance.
This is a unique opportunity to be at the intersection of ML and systems within AWS, helping to build the future of AI infrastructure right here in Tel Aviv.
Key job responsibilities
Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You will:
Solve challenging technical problems, often ones not solved before, at every layer of the stack.
Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.
Research implementations that deliver the best possible experiences for customers.
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, youll create metrics, implement automation and other improvements, and resolve the root cause of software defects. Youll also:
Build high-impact solutions to deliver to our large customer base.
Participate in design discussions, code review, and communicate with internal and external stakeholders.
Work cross-functionally to help drive business decisions with your technical input.
Work in a startup-like development environment, where youre always working on the most important stuff.
Considering the technical requirements of this role, and to ensure fair and equal candidate consideration, we are conducting full interview loops. If you meet the basic qualifications, and the team is interested in moving forward, we will be in touch to coordinate your interviews.

We are looking for talented engineers to help us develop the semiconductor platform which is based on revolutionary architecture.
Youre invited to take part in developing, integrating and deploying technologies. Starting from the identification and definition of project requirements, feature development and deployment, to operational support on a very large scale.
Your code will run on millions of servers worldwide as part of the nitro system- few software engineers in the industry have a similar opportunity to create code that runs at such a scale. As part of your role, you will be a member of a team that develops new firmware including boot loaders, trust zone, and other secure components. You will also be responsible to supporting and improving existing SW components currently in use at AWS.
AWS Utility Computing (UC) provides product innovations from foundational services such as our Simple Storage Service (S3) and Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

We are looking for talented students to help us develop the semiconductor platform which is based on revolutionary architecture.
Take part in the development of innovative products within disruptive system architecture. Youll have the opportunity to work on the technologies that power the worlds largest Cloud provider, within a dynamic, open, and fast-paced environment. Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.
As Post Silicon Dev Student you will be exposed and learn wide range of expertise such as: C++ programing, hardware design, data mining, Verilog simulations, working with various high end test equipment and more
If paving new roads on edge of technology within a strong and dynamic team is what you seek, your place is with us.

We are looking for an Embedded Software 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 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 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.

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 our 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.

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.
Key job responsibilities
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.

Required Embedded Software Student
Description
AWS Utility Computing (UC) provides product innovations from foundational services such as our Simple Storage Service (S3) and our Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, our Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
A semiconductor company established by semiconductor industry veterans and is now part of our Web Services. We develop leading edge products, manufactured with cutting edge technologies. We offer a dynamic, open, teamwork environment operating at a high pace. Join us and become part of an elite team working on new disruptive system architectures.
We are growing and we're hiring people who are inspired by the opportunity to define and build the next generation semiconductor platform.

Were looking for an Application Engineer to join the CTO team and spread the power of our company. In this role, you will focus on building internal tools, automating workflows, and enabling data-driven decision-making. Youll collaborate with internal stakeholders to solve technical challenges, improve processes, and deliver scalable solutions. Were particularly interested in candidates who have a deep understanding of designing and implementing tools and solutions for internal teams.
WHAT YOULL DO
Design, develop, and maintain internal tools and automation systems.
Collaborate with internal teams to identify inefficiencies and deliver technical solutions.
Automate repetitive tasks and improve workflows across the organization.

We're looking an experienced Backend Engineer to join our expanding R&D team and help drive the growth of our company.
In this role, you'll be responsible for developing and maintaining large-scale distributed components that power our company.
We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud.
Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more.
WHAT YOULL DO
End-to-end development of backend software components (research, design, development, testing, rollout, monitoring)
Contributing to technological and architectural decisions
Conducting design and code reviews
Analyzing and improving efficiency, scalability, and stability of various backend system components
Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features.

Required Chip Design Student, Graviton Server
A fabless semiconductor company established by semiconductor industry veterans and is now part of Amazon. We are developing leading edge products, manufactured on leading edge technologies. We offer a dynamic, open, teamwork environment operating at high pace mode.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying.
Why AWS?
We are the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Were looking for a Data Researcher to join the AI Research Team and spread the power of our company. In this role, youll push the boundaries of data security and insight extraction in cloud environments. You'll be at the forefront of developing sophisticated methods to classify and secure sensitive data, addressing challenges like unstructured data and document files. Operate at a large scale and collaborate with some of the largest customers in the world.
WHAT YOULL DO
Develop advanced classification tools and methodologies to accurately identify sensitive data stored in cloud service providers like AWS, Azure, and GCP.
Research and analyze sensitive data, including the identification of Personally Identifiable Information (PII) and secrets such as passwords and API tokens, across both structured (e.g., JSON, CSV) and unstructured formats (e.g., code, text).
Identify and assess data security risks and use cases within cloud environments.
Collaborate with data scientists, engineering, and product teams to drive data-driven product decisions for large-scale projects, working closely with our biggest customers.
Leverage Large Language Models (LLMs) and advanced AI technologies to enhance data processing and analytical workflows, improving efficiency and accuracy.