Infinite Machine jobs

Machinesteller Belgium - Puurs posted: Posted 11 Days Ago

Ingénieur électrique lead - Machines tournantes (Grid services )/ Lead Electrical Engineer - Rotating Machines (Grid services) 2 Locations posted: Posted 9 Days Ago

Data Science Manager (AI Solutions-Machines) Office - Israel - CyberArk Petach Tikva posted: Posted 4 Days Ago

Fabrication Equipment Engineer, Quantum AI Goleta, CA, USA The Quantum Equipment Engineering team ensures the installation, reliability, and optimization of the manufacturing fleet used to produce high-quality quantum devices. As an Equipment Engineer, you will own the performance of complex semiconductor tools within our fabrication facility. You will lead root-cause troubleshooting, manage vendor relationships, and drive continuous improvement projects to maximize tool availability. Beyond maintenance, you will analyze failure modes and implement upgrades. Your technical expertise and safety-first mindset will ensure our facility maintains the precise stability required for Quantum Computing breakthroughs. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Perform complex preventative maintenance, diagnostics, and repairs to ensure the maximum uptime and optimal performance of critical fabrication tools. Lead the scoping, evaluation, and procurement of new process equipment tailored for quantum manufacturing, and drive the qualification of these tools. Manage equipment installations, retrofits, and upgrades, serving as the primary technical liaison with external vendors to ensure effective project execution. Support operations across multiple local facilities, including shared research labs, ensuring consistent equipment

CNC / EDM Machine Operator Parsippany posted: Posted 3 Days Ago

Senior Staff Machine Learning Engineer, (Machine Learning) Remote Canada

CNC Machine Operator 2 (Machine Shop) Norwich posted: Posted 7 Days Ago

CNC Machine Operator 3 (Machine Shop) 2nd Shift Norwich posted: Posted 30+ Days Ago

Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data

Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge

AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations Austin, Texas, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Acceleration Fleet Operations Team is looking for candidates interested in diving deep into our fleet of ML servers deployed around the world. We are seeking an engineer who is comfortable debugging emergent problems in GPU and server hardware, writing scripts in languages such as Python or Bash, running large scale experiments on a fleet of complex hardware, developing data infrastructure and analyzing trends, and developing automation software to scale operations. Our team has end to end ownership of some of the most advanced server hardware in the world. We drive technical debug efforts and write truly massive scale autonomous software to monitor, optimize, and remediate machine learning hardware. Come join us! Key job responsibilities - Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products - Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS - Implement

Machine Learning Engineer/Senior Machine Learning Engineer - Evisort 2 Locations posted: Posted 3 Days Ago

Integration Engineer I IBM Middleware Canberra, Australian Capital Territory, Australia posted: Posted 10 Days Ago

Mechanical Engineer Annapurna Labs , Annapurna Labs, Artificial Intelligence Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the team, you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data

Staff AI/ML Engineer - Edge AI System 6 Locations posted: Posted 30+ Days Ago

Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations SGP AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We are seeking a Manufacturing Test Engineer to support final assembly and test (FA&T) operations for enterprise-class hardware products-including servers, storage systems, network equipment, and machine learning/AI accelerator platforms. This role is critical to ensuring world-class quality, throughput, and on-time delivery across our regional manufacturing network of production facilities. We work backwards from customers to increase critical capacity for AWS services by improving yield and reliability while reducing cycle time. We are seeking a Manufacturing Test Engineer to work in conjunction with internal partner Hardware Engineering and NPI Test

Sr. GPU/Accelerator Hardware Development Engineer, Annapurna Labs Austin, Texas, USA Would you like to develop the Next Generation of AI accelerator compute systems? Lead bleeding-edge HW development projects? Have you heard of Amazon Web Services (AWS) Project Rainer? This is the opportunity to be a part of a fast-moving innovation team that is changing the world of AI at massive scale. At AWS Trainium we develop a complete vertical stack system, from our own Silicon to Hardware to Software and deploy directly to our customers in our own Data Centers We are seeking experienced Lead System Design Engineers to build the next generation of our cloud server infrastructure, Project Rainier. Project Rainier is a massive $11 billion Amazon Web Services (AWS) AI infrastructure initiative, featuring one of the world's largest compute clusters dedicated to training and running Anthropic's Claude AI models. It utilizes over 500,000 custom Trainium2 chips, designed for high-performance AI training. As a member of the AWS Trainium Machine Learning Acceleration team you'll be responsible for the System design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing industry, and

Sr. Technical Program Manager, AWS Rack Manufacturing SGP AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We are seeking a Manufacturing Operations and Industrial Engineering Program Manager to help us fuel AWS' explosive growth. This role is the single-threaded owner of factory layout and material flow design across AWS rack fulfillment manufacturing sites. You will work at the intersection of capacity planning, automation engineering, construction, and operations - spanning EC2, Machine Learning, and Storage hardware platforms in AWS manufacturing. Your work directly enables AWS to meet datacenter capacity commitments by ensuring manufacturing infrastructure scales efficiently, reliably, and repeatably across a global site network. Possessing strong leadership,

Network Infrastructure Deployment Manager, AWS Global Connectivity Infrastructure Development Hyderabad, Telangana, IND AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Today, 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. The AWS Cloud infrastructure is built around Regions and Availability Zones (AZs). AWS Regions provide multiple, physically separated and isolated Availability Zones, which are connected with low latency, high throughput, and highly redundant networking. These Availability Zones offer AWS customers an easier and more effective way to design and operate cutting edge AI applications and Machine Learning databases,

Network Operations Support, Global Connectivity Infrastructure Development Hyderabad, Telangana, IND AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Today, 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. The AWS Cloud infrastructure is built around Regions and Availability Zones (AZs). AWS Regions provide multiple, physically separated and isolated Availability Zones, inter-connected with low latency, high throughput, and highly redundant networking. These Availability Zones offer AWS customers an easier and more effective way to design and operate AI applications and Machine Learning databases, making them more highly available, fault

Forward Deployed AI Engineer Tokyo posted: Posted 30+ Days Ago

Senior Backend Engineer - AI Team - Paradox Israel, Tel Aviv posted: Posted 30+ Days Ago

System Hardware Reliability Manager, AI Infrastructure Taipei, Taiwan Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will lead the team responsible for building reliability into our products from early architecture through global deployment. You will shift our focus from reactive troubleshooting to scalable strategy, partnering with Design teams and APAC manufacturers to define specifications and mitigate hardware risks before they hit production. Ultimately, you will own the technical strategy for NPI reliability frameworks, drive systemic root-cause failure analysis, and oversee the health of our active global fleet to ensure our infrastructure remains highly resilient. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving team behind Google's groundbreaking innovations, empowering the development of our AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems

Network Development Engineer II, Capacity Engineering Dublin, IRL Do you like to design, operate, and implement networks of large scale? Would you like your work to play a key role to support all aspects of connectivity to/from Amazon and the outside world, as well as the connectivity between Amazon's data centers and services to design and architect innovation so networks are fail-proof, infinitely scale and grow? AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. The AWS GCNA (Global Connectivity and Network Availability) Organization is looking for a Network Development Engineer to join our Backbone Enterprise, and Regional Engineering (BERE) team. Network Development Engineers partner with our