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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 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.
A day in the life
Your day will be filled with dynamic technical challenges that push the boundaries of semiconductor design. You'll collaborate with cross-functional teams, diving deep into intricate physical design processes, and translating complex architectural concepts into tangible technological solutions. Expect to engage in cutting-edge problem-solving that requires both creative thinking and precise technical execution.