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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.