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Are you a scientist interested in pushing the state of the art in Information Retrieval, Large Language Models and Recommendation Systems? Are you interested in innovating on behalf of millions of customers, helping them accomplish their every day goals? Do you wish you had access to large datasets and tremendous computational resources? Do you want to join a team of capable scientist and engineers, building the future of e-commerce? Answer yes to any of these questions, and you will be a great fit for our team at our company.
Our team is part of our companys Personalization organization, a high-performing group that leverages our companys expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. Our team is building next-generation personalization systems powered by Large Language Models. We are tackling novel research challenges to help customers discover products they'll love - at our company scale and latency requirements. We are a team uniquely placed within our company, to have a direct window of opportunity to influence how customers will think about their shopping journey in the future.
As an Applied Science Manager, you will lead a team of scientists working at the frontier of LLM-based personalization. You will set the technical vision, drive the research agenda, and ensure your team delivers production-ready solutions. You will hire, mentor, and develop world-class scientists while fostering a culture of innovation and scientific rigor. You will partner closely with engineering and product teams to translate ambitious research into customer-facing impact, and represent your team's work to senior leadership.

AWS Utility Computing (UC) provides product innovations - from foundational services such as our companys Simple Storage Service (S3) and our company 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 company Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Annapurna Labs, as part of AWS, is 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 company 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.

Come join the AWS Agentic AI science team in building the next generation models for intelligent automation.
AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.
We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.

AWS Utility Computing (UC) provides product innovations - from foundational services such as our companys Simple Storage Service (S3) and our company 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 company Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
The Nitro firmware team, part of Annapurna Labs, is position in the very heart of AWS technology engine.
Looking for an experienced Embedded Software Engineer, to join us in building the next generation of our products.
Key job responsibilities
You'll have the opportunity to work on the technologies that power the world's largest cloud provider, in a dynamic, open, fast-paced environment.
In this role you'll develop, design, maintain, deploy, monitor and support a very important component in the Nitro firmware, while enjoying every step of the journey.

AWS Utility Computing (UC) provides product innovations - from foundational services such as our companys Simple Storage Service (S3) and our company 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 company Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Annapurna Labs, as part of AWS, is looking for an IC Customer Q&R Engineer.
As an IC Quality and Reliability Engineer, you will play a crucial role in ensuring Annapurna Labs' semiconductor products meet customer demands. Your responsibilities will include direct work with Annapurna's customers to jointly debug failures and reduce IC related failures, support RMA analyses
In this role you will be completely exposed to the semi-conductor production flow of all Annapurna Labs products, semi-conductor testing methodologies and FAB process yield improvement activity.

AWS Utility Computing (UC) provides product innovations - from foundational services such as our companys Simple Storage Service (S3) and our company 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 company Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Annapurna Labs, as part of AWS, is looking for an IC Customer Q&R Engineer.
As an IC Quality and Reliability Engineer, you will play a crucial role in ensuring Annapurna Labs' semiconductor products meet customer demands. Your responsibilities will include direct work with Annapurna's customers to jointly debug failures and reduce IC related failures, support RMA analyses
In this role you will be completely exposed to the semi-conductor production flow of all Annapurna Labs products, semi-conductor testing methodologies and FAB process yield improvement activity.

The Research Lab in Israel is seeking exceptional students to join our dynamic team to work on cutting-edge AI research for building the next-generation platform for AI and agents. Our team focuses on developing core technologies to enable building the next-generation platforms to support AI and agentic workloads. This includes:
Exploring how to optimize the AI platform stack and architecture to support the next-generation of AI-driven applications, including agentic workload and applications.
Developing methods leveraging AI paradigms to assist in inventing and evaluating new platform algorithms and solutions.
In this position you will:
Develop code for AI and Agents platform (e.g., in Python and GO)
Performing benchmarking and evaluation and gain expertise in platform evaluation
Gain hands-on experience with enterprise AI software stack, tools and platforms
Work in a global company gaining team and collaboration practices
This role offers a unique opportunity to deepen your knowledge and practical skills in AI solutions and platforms.

Were looking for fast learners with strong programming skills and a passion for applying and working with AI. Experience with AI and language models is a plus.

We invest a significant proportion of our revenue towards research and development to drive and develop groundbreaking medical innovations for structural heart disease. As part of our R&D Engineering team, you will work closely with our Quality and Manufacturing teams to develop the latest tools and technologies to address significant, unmet clinical needs that impact patients lives around the world.
Role Summary:
You will lead a group of teams with focus on valve replacement for the mitral and tricuspid valves, from concept phase till early human use trials/transfer to manufacturing. The team goal is to design a heart valve dedicated to be delivered to the mitral or tricuspid valves via transcatheter approach.
You will lead the project planning (timeline and budget), product needs and design requirements, conceptual design and analyses, detailed design and testing efforts to mature concepts and bring products to design transfer stage. This is a unique position which allows us to influence future designs and bring innovation into Edwards portfolio.
How you will make an impact::
Manage 2-3 team leaders including R&D engineers and technicians (10-14 employees)
Lead design projects from early-stage feasibility till design transfer.
Perform R&D feasibility testing and design verification testing
Collaborate with cross functional teams (pilot manufacturing, testing, clinical development, quality).
Plan, manage and execute projects in aspects of milestones, timelines and budget.
Lead proof of concept development work including animal trials, in-vitro testing and supporting analyses.
Develop and mentor the team leads (valve and delivery system).
Manage close relations with global stakeholders and physicians (Irvine California).
Develop and retain talent to become the valve team of choice.

We are looking for a highly motivated PhD or MSc student to join our team for a summer internship focused on cost-efficient serving of large-scale AI inference workloads.The internship will explore advanced routing strategies and KV-cache-aware optimizations in distributed inference systems, with an emphasis on improving performance, scalability, and GPU cost efficiency.
What you will work on
Designing and evaluating routing algorithms to optimize inference latency, throughput, and cost
Investigating KV cache management strategies for large-scale, distributed inference serving
Prototyping, benchmarking, and analyzing inference optimization techniques
Working with modern inference frameworks and real production-like workloads
Why join us?
This internship offers a unique opportunity to work at the intersection of AI systems and distributed infrastructure, with real-world impact on scalable, cost-efficient inference serving used in production environments.

we put patients first. We invest a significant proportion of our revenue towards research and development to drive and develop groundbreaking medical innovations for structural heart disease. As part of our R&D Engineering team, you will work closely with our Quality and Manufacturing teams to develop the latest tools and technologies to address significant, unmet clinical needs that impact patients lives around the world.
How you will make impact:
Prototype, plan, build, and deliver software applications in C++ and similar development languages
Participate in other software designs such as software for UI, signal processing, DevOps, product security, Operating system
Understanding top and low-level design of embedded systems.
Work closely with other development engineers to ensure the system is designed and delivered with appropriate requirements.
Independently cooperate with internal or external suppliers.
Drive the development and deployment of custom test systems SW / automation SW, and test methods concurrently with new product development.
Develop SW verification strategy, testing methods and V&V plans based on product requirements and SW design including writing tests that challenge the system and its requirements and advocate for test approaches that have highest impact.
Perform other duties and responsibilities as assigned.