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Cell Leader, AWW1 Shift (Onsite) US-ME-NORTH BERWICK-113 ~ 113 Wells St ~ WELLS, Rte 9 posted: Posted Yesterday

Software Development Engineer, AWS MemoryDB Vancouver, British Columbia, CAN This is an opportunity to join one of AWS's most foundational and high-impact engineering teams - the Data Plane team within Amazon ElastiCache and MemoryDB. We own the core in-memory engine that powers millions of customer workloads: the data path, durability layer, replication protocol, snapshot system, and advanced data structures. Our work sits at the intersection of systems programming, database internals, and performance engineering - every microsecond matters when you're serving the world's most latency-sensitive applications. If you've ever found yourself deep in a conversation about write-ahead logs, copy-on-write fork semantics, lock-free data structures, or memory allocator design - and you want to apply those ideas to a system handling millions of operations per second at cloud scale - this team is where you belong. We build the engine behind Amazon MemoryDB, the only Valkey-compatible database that delivers in-memory speed with Multi-AZ durability. We're not just running an open-source cache; we're extending Valkey with novel capabilities - durable replication, active-active conflict resolution, full-text and vector search - while maintaining the sub-millisecond latencies our customers depend on. Our customers include Disney+, Snap, Zoom, Lyft, Airbnb, and hundreds of thousands of other AWS customers who trust us with their most performance-critical workloads. You'll work in C/C++ at the lowest levels of the stack, solving problems in memory management, I/O optimization, replication protocols, and distributed data systems - all in production at massive scale. Key job responsibilities As a Software Development Engineer on the

Assistant Manager West Bend, Wisconsin posted: Posted Yesterday

Software Development Engineer, ElastiCache Vancouver, British Columbia, CAN This is an opportunity to join one of AWS's most foundational and high-impact engineering teams - the Data Plane team within Amazon ElastiCache and MemoryDB. We own the core in-memory engine that powers millions of customer workloads: the data path, durability layer, replication protocol, snapshot system, and advanced data structures. Our work sits at the intersection of systems programming, database internals, and performance engineering - every microsecond matters when you're serving the world's most latency-sensitive applications. If you've ever found yourself deep in a conversation about write-ahead logs, copy-on-write fork semantics, lock-free data structures, or memory allocator design - and you want to apply those ideas to a system handling millions of operations per second at cloud scale - this team is where you belong. We build the engine behind Amazon MemoryDB, the only Valkey-compatible database that delivers in-memory speed with Multi-AZ durability. We're not just running an open-source cache; we're extending Valkey with novel capabilities - durable replication, active-active conflict resolution, full-text and vector search - while maintaining the sub-millisecond latencies our customers depend on. Our customers include Disney+, Snap, Zoom, Lyft, Airbnb, and hundreds of thousands of other AWS customers who trust us with their most performance-critical workloads. You'll work in C/C++ at the lowest levels of the stack, solving problems in memory management, I/O optimization, replication protocols, and distributed data systems - all in production at massive scale. Key job responsibilities As a Software Development Engineer on the Data

Staff Android Engineer IRL - Galway posted: Posted Today

Manufacturing Teammate - 1st Shift Arden, NC

Medical Receptionist 12059 - Plainsboro Dialysis posted: Posted Yesterday

PMV Athlete I Toronto, Ontario posted: Posted Yesterday

Software Development Engineer II, AWS DynamoDB Web Service Seattle, Washington, USA The AWS DynamoDB team is looking for a talented Software Development Engineer to join our fast-moving observability and scaling team. We build and manage a highly scalable, distributed key-value database service and focus on the hard problems so customers can focus on their business. Many of the world's fastest growing businesses depend on the scale and performance of DynamoDB to support their mission-critical workloads. DynamoDB is a key-value database that delivers single-digit-millisecond performance on a massive scale and incredibly high rate of requests per second. A lot of businesses, such as Disney, Dropbox, Snap, The Pokémon Company, as well as AWS and Amazon external and internal services, depend on the scale and performance of DynamoDB to support their mission-critical workloads. You and your team have the unique perspective and visibility into the core component's performance in DynamoDB. You will build new instrumentation and metric to understand which components contribute to how much latency, and work on latency reduction efforts at every percentile. Additionally, you will drive and set the performance target for each component and continuously improves DynamoDB's capacity management model. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management

Sr. Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Toronto, Ontario, CAN The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium. AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a very unique learning

Retail Assistant Manager Janesville, Wisconsin posted: Posted Yesterday

Senior Product Manager - Technical, DynamoDB, DynamoDB Seattle, Washington, USA Are you interested in helping guide the product strategy for Amazon DynamoDB? This is your opportunity to be an owner, builder, and an innovator for a distributed NoSQL database that hundreds of thousands of customers rely on daily. Together with a diverse team, you will work backwards from customer needs to define the future of DynamoDB. The DynamoDB team's mission is to serve the world's most critical and demanding applications. DynamoDB is a NoSQL database that delivers consistent performance at any scale. Many of the world's fastest growing businesses such as Disney+, Snap, Zoom, Lyft, Airbnb, and Redfin depend on the scale and performance of DynamoDB to support some of the world's most demanding applications. Hundreds of thousands of AWS customers choose DynamoDB for mobile, web, gaming, ad tech, IoT, and other applications that need low-latency data access at any scale. The primary responsibility of the Senior Product Manager - Technical (Senior PMT-ES) role is to own and drive key areas of the product. As a Senior Product Manager, you achieve this by defining the product strategy, roadmap, and pricing for a core set of capabilities. You also work with stakeholders to achieve the best outcomes for customer experience, adoption, and operational excellence. To be successful in this role, you should have meaningful product management experience leading products or features and a technical background (preferably in databases). Experience delivering large-scale SaaS, PaaS or IaaS products where you are responsible for

Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs Toronto, Ontario, CAN The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium. AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a

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Coach Taipa, Macao posted: Posted 30+ Days Ago

Mechanical Fitter GB-AN-MONTROSE-CHARLETON ROAD posted: Posted 10 Days Ago

Staff Software Engineer- Growth Performance Marketing San Francisco, CA, US; Remote, US About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest's performance marketing engineering team owns the end-to-end systems that turn marketing dollars into measured user growth spanning attribution, bidding, budget optimization, and campaign management across major advertising platforms. This role is responsible for designing systems that scale across channels and adapt as privacy landscapes shift. What you'll

Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs Cupertino, California, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain

Software Development Manager - Compiler Cupertino, California, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium delivers the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch and JAX. .AWS Neuron and Trainium are used at scale with customers and partners like PyTorch, Anthropic, Poolside, Decart, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, and more customers in various other segments. The Team: The Amazon Annapurna Labs team is a responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a very unique learning culture. Learn more about Our History: https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success You: We are seeking a talented SW Engineering Manager with strong leadership/ mentoring skills to

Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Cupertino, California, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, Neuron Kernel Interface (NKI) compiler, and runtime that natively integrates into popular ML frameworks, such as PyTorch and TensorFlow. Neuron Kernel Interface (NKI) is a bare-metal language and compiler for directly programming NeuronDevices available on AWS Trn/Inf instances. You can use NKI to develop, optimize and run new operators directly on NeuronCores while making full use of available compute and memory resources. AWS Neuron and Inferentia are used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is a responsible for building innovative silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and

Briefing Engagement Manager United Kingdom, London posted: Posted Yesterday

Principal Product Manager - Tech, DynamoDB Seattle, Washington, USA Are you interested in helping guide the product strategy for Amazon DynamoDB? This is your opportunity to be an owner, builder, and an innovator for a distributed NoSQL database that hundreds of thousands of customers rely on daily. Together with a diverse team, you will work backwards from customer needs to define the future of DynamoDB. *Utility Computing (UC)* AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), and consistently releases new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll 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. The DynamoDB team's mission is to serve the world's most critical and demanding applications. DynamoDB is a NoSQL database that delivers consistent performance at any scale. Many of the world's fastest growing businesses such as Disney+, Snap, and Zoom depend on the scale and performance of DynamoDB to support some of the world's most demanding applications. Hundreds of thousands of AWS customers choose DynamoDB for mobile, web, gaming, ad tech, IoT, and other applications that need low-latency data access at any scale. The primary responsibility of the Principal Product Manager - Technical (Principal PMT-ES) role is to own and

Machine Learning Compiler Engineer Cupertino, California, USA The Product: Amazon's Machine Learning accelerators are at the forefront of our innovation and one of several Amazon's tools used for building Generative AI on Amazon. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the Amazon Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. Amazon Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at Amazon. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The Amazon Neuron team works to optimize the performance of complex neural net models on our custom-built Amazon hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in