Strong Compute jobs

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

Principal Data Scientist & Machine Learning Researcher 3 Locations posted: Posted 30+ Days Ago

Principal Machine Learning Engineer United States, US At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Values are OCI's foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. In OCI AI Infrastructure org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. In this role, you will drive building state-of-the-art training infrastructure for massive GPU clusters, as well as designing agentic systems deployed on OCI infrastructure at enterprise-scale. You will be innovating on leading principles of agentic software development and driving the frontier on infrastructure that maximizes the potential of bleeding-edge GPU clusters. We are working at the forefront of Generative AI (GenAI) landscape working with teams across Oracle on multi-modal data generation and leading the framework across Oracle.

RTL Design Engineer, TPU Compute Sunnyvale, CA, USA In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. 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 channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge 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 research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $198000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at

Lead Principal Software Engineer Austin, TX, United States, US Oracle Cloud Infrastructure (OCI) Compute delivers bare metal and virtual machine instances - CPU and GPU -at global scale. We are hiring a Consulting Member of Technical Staff to provide hands-on technical leadership for OCI compute control plane services, with a focus on Imaging and Container Registry. You will architect and deliver distributed systems that are multi-tenant, highly available, and horizontally scalable across OCI regions, while driving operational excellence and cross-team technical alignment. In this role, you will: Architect, design, and operate distributed, highly available, and resilient systems for multi-tenant, horizontally scalable, and cost-efficient architectures that deliver consistent latency, throughput, and durability across OCI regions. Collaborate cross-functionally with Compute, Storage, Networking, OKE and functions to deliver new platform features focusing on Imaging, Container Registry Services, enforce secure-by-default designs, and improve overall services reliability. Mentor and guide engineers in distributed systems design, high-scale data processing, and operational excellence; set and raise engineering standards across multiple teams. Drive operational excellence by owning service-level objectives (availability, latency, durability) and reducing toil through automation, observability, and self-healing mechanisms. Own the full service lifecycle from design and implementation to deployment, on-call, and continuous improvement - maintaining high code and reliability standards. Define and drive the technical roadmap for OCI Imaging, Container Registry Services . Partner with product management and field teams to translate customer needs into roadmap priorities for Oracle Imaging & Container Registry Services. Contribute to the broader Compute vision, influencing how Oracle's Imaging &

Software Dev Engineer Intern, (Manufacturing&Ops) 2026 Shanghai Shanghai, CHN 职位：Global Manufacturing &Ops SDE Intern · 毕业时间：2026年10月 - 2027年7月之间毕业的应届毕业生 · 入职日期：2026年6月及之前 · 实习时间：保证一周实习4-5天全职实习，至少持续3个月 · 工作地点：上海 · 投递须知： 1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！ 2 学校的英文全称请准确填写。中英文对应表请查这里（无法浏览请登录后浏览）https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2 Amazon Devices Asia team is looking for a passionate, hard-working, and talented Software Development Engineer who can build innovative & mission critical system software applications & tools. You will have an enormous opportunity to make a large impact on the design, architecture, and development of consumer products. You will be responsible for delivery and support of large-scale, multi-tiered, distributed software applications and tools. The primary responsibility of this role is developing AI-based automation technology operations platforms. This position requires the candidate to design and develop highly scalable user interfaces, data structures, algorithms. Candidate needs to collaborate with teams of smart engineers in the design, implementation, and deployment of features and system. Basic Qualifications: - Currently enrolled in a Bachelor's or Master's Degree in Computer Science, Computer Engineering, or related field at time of application. - Knowledge of the syntax of languages such as Java, C/C++ or Python. - Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. - Understanding of basic AI/ML algorithms, Coursework or project experience in artificial intelligence or machine learning. - Strong written and verbal communication skills in Chinese and English Preferred Qualifications: - Academic projects or coursework involving GenAI, LLMs, or Agentic AI systems. - Experience in GenAI and Agentic AI system/tool development. - Previous technical internship(s),

Principal Product Manager - Tech, Fauna New York, New York, USA We are seeking a Principal Product Manager - Technical to own and drive the product vision, roadmap, and execution for a next-generation robot platform. This product is designed to validate safety-certifiable architecture and cost-optimized design, bridging our current developer platform and mass-market product. In this role, you will lead cross-functional coordination across hardware engineering, software, safety, science, and operations to deliver a platform that achieves aggressive cost targets while meeting safety certification requirements for unattended autonomous operation in homes. You will define product requirements, manage trade-offs between cost, performance, and safety, and own the end-to-end product lifecycle from first builds through large-scale home deployments and data collection. The ideal candidate thrives at the intersection of hardware, software, and safety-critical systems, with experience shipping consumer or prosumer electronics at scale and a strong technical foundation to drive architecture decisions across compute, sensors, and mechanical design. Key job responsibilities - Own the next-generation platform product roadmap end-to-end: requirements definition, architecture trade-offs, milestone planning, and delivery from engineering validation through mass deployment - Drive BOM optimization to achieve aggressive cost targets through compute platform decisions, sensor suite rationalization, and DFM execution - Define and manage product requirements for safety-certifiable autonomous operation, including hazard analysis and functional safety concepts - Lead cross-functional coordination across hardware (mechanical, electrical, compute), software (runtime, autonomy stack), science (locomotion, manipulation, navigation), and safety/compliance teams - Translate learnings from current developer platform into architecture decisions for the next-generation product

Senior Machine Learning Scientist Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company ) - US: Seattle, Boston, Scottsdale Responsibilities - Own one or more key technical areas across LLM, MLLM, CV product portfolio. - Provide technical leadership to junior scientists, guiding the transition of R&D concepts

Sr. Software Engineer - EC2 Windows OS Technologies team, EC2 Windows Bellevue, Washington, USA Do you want to help shape the future of compute for the Amazon Web Services cloud? The EC2 Instance Platform organization is responsible for tackling challenging problems faced by enterprise customers via cloud-based solutions. The team uses next-gen technologies to develop large-scale platforms to help customers optimally run their business. We are hiring Senior Software Development Engineers to make Amazon Elastic Compute Cloud (EC2) the best place to run enterprise class workloads. As part of our team you will help build next generation services that simplifies how our customers and partners configure and manage high performance computing workloads on the cloud. You will closely work with various pre-release Amazon technologies and build services that handle large scale, highly available distributed systems. We are looking for Software Development Engineers who are passionate about working on next-gen technologies, who bring deep technical knowledge, and who have experience with distributed systems to drive technical design and implement end-end solutions. If you're into operating systems, how software interfaces with hardware, file systems, or just working on challenging software problems where performance and code size still matter, come and join us. The ideal candidate for this position is a software engineer excited to work in a cloud scale environment who has a strong track record of developing and delivering Windows user- or kernel-mode drivers in a system level programming language such as C/C++. Here at AWS, we embrace our differences. We

Machine Learning Engineer - 5 Bangalore posted: Posted 30+ Days Ago

Sr. Data Center Manager Abilene, TX, United States, US * Provide strong leadership, direction and operational experience * Strong knowledge of computer hardware (Server, Storage and Networking devices) * Drive and manage escalations to rapid resolution and closure * Work with distributed teams across the country * Growing the team by recruiting and hiring top talent *Delivering expansion projects on time with high quality * Collaborating and working effectively with best-in-class architects, engineers, product management, etc. This role involves managing the physical site in Abilene, TX. You should be experienced in managing a multi disciplined Cloud Data Center space with strong people skills, the ability to influence groups outside your direct responsibility and the colocation partners. This multi-faceted management role includes: * Management and support of 15-20 Data Center Technicians * Data Center day to day support operations in 7/24 mission critical environment * Installation, Field Change Orders and Hardware break/fix activity * Responsible for ensuring timely delivery of services/tasks to meet milestones and customer KPI's * Interacting across functional areas and teams (Engineering, Build, Site Selection, Business Operations, etc. * Reacting to and managing incidents, driving resolution and after action analysis * Capacity expansion at all scales (rack additions, block additions, white space growth, new sites, etc.) * Drive local recruitment for future hires * Creating an environment of continuous improvement Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range

Senior Applied Machine Learning Engineer San Jose posted: Posted 27 Days Ago

Senior Algorithm Development (Embedded) 2 Locations posted: Posted Today

Computer Scientist I (Android) Bangalore posted: Posted 4 Days Ago

Technical Lead, Custom Digital Circuit Design, Mixed Signal Sunnyvale, CA, USA In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As the Lead Architect for Google's custom back-end solutions for high-speed internal connections, you will set the design standards for our custom silicon. You will ensure our physical design methods can support data speeds of 1.6T and above while maintaining high manufacturing reliability and performance. You will create the design framework for our future hardware, solving complex engineering challenges in the latest manufacturing processes. 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 channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge 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

Engineer 3 - Machine Learning India - Chennai, Comcast India Engineering Cent posted: Posted 28 Days Ago

Engineer 3 - Machine Learning India - Chennai, Comcast India Engineering Cent posted: Posted 10 Days Ago

Sr Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

Machine Learning Engineer San Jose posted: Posted 8 Days Ago

AI/ML Silicon Validation Lead, Google Cloud, TPU Bengaluru, Karnataka, India In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. The Platform Enablement team is responsible for the development, bring-up and qualification, deployment, sustaining the quality of our AI/ML custom silicon. We plan and integrate hardware and software stacks and operate them on emulation, simulation and post-silicon platforms. We work closely with silicon design, platform hardware, firmware and software teams to enable on-time delivery of high quality silicon products. As a Manager, you will be responsible for growing the team through hiring, developing a psychologically safe environment for the team to succeed, enabling people development through effective career conversations, mentoring and building a strong community. In this role, you will be working on building, managing and leading a team of engineers responsible for post-silicon validation of AI/ML SoC which uses technology, working closely with the architecture, design, verification, firmware, software and platform leads, ensure timely silicon bring-up, enablement and debug closures and driving the preparation of necessary tests and collaterals for effective

Senior Machine Learning Engineer San Jose posted: Posted 25 Days Ago

Senior AI Engineer (f/m/d) IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 posted: Posted Yesterday

Systems Engineer, AWS Thames Valley, Berkshire, GBR Would you like to help implement innovative cloud computing solutions and solve the most complex technical problems? Are you excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. With AWS, customers provision compute power, storage, database, and other cloud resources as their business demands them. To meet the growing demand for AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation. If you join us, you'll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain world class experience in cloud computing. You'll be surrounded by people who are passionate about cloud computing, believe that first class service is critical to customer success, and are committed to improvement. 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 of Compute, Database, Storage, Internet of

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