Strong Compute jobs

Lead Software Engineer, Infrastructure Quality, Robotics, DeepMind Mountain View, CA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. This is a dedicated Software Quality and Engineering Productivity leadership role. In this role, you will be an expert whose primary passion and career focus is building, owning, and scaling the quality of software releases and AI model validation on standard and custom hardware. You will play a major role in influencing the velocity at which our team solves Artificial General Intelligence (AGI) in the physical world. As our software and hardware infrastructure grows to support the increasing scale of robotics research, we need to continuously build and upscale our testing, reliability, validation, release strategy, and overall engineering productivity and velocity. Robotics infrastructure is uniquely difficult. You will be solving for non-deterministic hardware wear-and-tear, complex large-scale model deployment, fast inference, and the massive data requirements of AGI. You will be experienced with software quality and release strategy on custom or experimental hardware. Your work will directly determine how many iterations our engineers and scientists can run per day, week, and year, while holding a high quality bar. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are

Sentinel Staff Computer Systems Analyst - 18901 United States-Utah-Roy

Principal Engineer - AI/ML - Computer Vision Bengaluru, India posted: Posted 30+ Days Ago

Software Engineer II Selection Monitoring, Selection Monitoring Bengaluru, Karnataka, IND Amazon's Selection Monitoring team is responsible for building and operating large-scale data processing systems that power catalog intelligence across Amazon. Our systems process billions of products from multiple data sources-both real-time crawler feeds and pre-computed datasets-to create comprehensive, high-quality product information that drives business decisions across Amazon. We apply parallel processing, machine learning, and deep learning algorithms to evaluate and enrich product data at global scale. The datasets and insights produced by our team enable teams across Amazon to make data-backed decisions that improve customer experience. Our work involves building state-of-the-art data processing pipelines and Information Retrieval (IR) systems that handle diverse data streams and automatically create structured entities from unstructured/semi-structured data. We constantly stretch the boundaries of large-scale distributed systems, streaming and batch processing technologies, Elastic Computing, Big Data, Artificial Intelligence, and service-oriented architectures to tackle challenges at Amazon's global scale. Come join us in our journey to build the data infrastructure that powers Amazon's catalog intelligence! We are looking for SDEs with strong technical knowledge, established background in engineering large-scale software systems, and passion for solving challenging problems. The role demands a high-performing and flexible candidate who can take responsibility for system success and drive solutions from design to coding, testing, and deployment, to achieve results in a fast-paced environment. The SDE on this team will play a key role in solving complex problems and building innovative solutions that process and integrate data from multiple sources at scale.

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

Personal Computer Support Technician - High School Intern Baltimore, MD posted: Posted 9 Days Ago

Principal Engineer - IP Verification Noida posted: Posted Today

Applied Scientist, Neuron ARG, Annapurna ML Seattle, Washington, USA The Automated Reasoning Group in the Amazon Neuron team is looking for an Applied Scientist to work on the intersection of Artificial Intelligence and program analysis to raise the code quality bar in our state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch and JAX. Your role will involve working closely with our custom-built Machine Learning accelerator, Trainium, which represents the forefront of innovation for advanced ML capabilities, and is the underpinning of Generative AI. In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will architect and implement business-critical tooling, publish research, and mentor a brilliant team of experienced scientists and engineers. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software. Strong experience in programming languages, compilers, program analyzers, theorem provers, and program synthesis engines will be a benefit in this role. A background in machine learning and AI accelerators is preferred but not required. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience

Senior Scientist – Research Computational Biology Platforms (ARIA) 3 Locations posted: Posted 30+ Days Ago

Senior Scientist, Computational Biotherapeutics Engineering United States - Massachusetts - Cambridge posted: Posted 15 Days Ago

Install Technician, Infrastructure Delivery, AWS Riyadh, SAU Amazon Web Services Infrastructure Delivery owns the end-to-end design, planning, delivery, and operation of the global AWS infrastructure footprint - the backbone that enables the cloud to operate at scale. Our teams support every AWS data center and the full stack of critical infrastructure including compute, storage, networking, power, and cooling systems, ensuring customers maintain continuous access to the services and innovation they depend on. We operate in one of the world's most complex environments, solving high-impact challenges across supply chain, deployment, operational readiness, and infrastructure scaling while continuously raising the bar on execution, resiliency, and customer experience. You will join a high-performing, diverse organization of software engineers, hardware engineers, network specialists, supply chain professionals, security experts, operations leaders, and infrastructure teams working collectively to deliver scalable, secure, and highly available infrastructure globally. Success in this environment requires strong ownership, collaboration across organizational boundaries, and relentless focus on safety, quality, and operational excellence. At AWS, individuals are empowered to think big, challenge convention, and drive initiatives through completion with measurable impact. We are seeking an ID Install Technician to support network infrastructure deployment and expansion within our next-generation data center environments. This role requires operating with a high degree of autonomy in fast-paced, mission-critical environments while maintaining exceptional attention to detail and execution standards. The ideal candidate demonstrates strong technical judgment, disciplined operational practices, and proven experience supporting large-scale enterprise infrastructure deployments. Success in this role requires strong implementation and troubleshooting capabilities, structured

Senior Data Scientist 2 Locations posted: Posted 30+ Days Ago

Mechanical Engineer, Data Center Technology Systems Sunnyvale, CA, USA Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). The Thermal Systems Engineering team stands at the forefront of accelerating innovation that powers Google's global infrastructure. We are the vital force behind the cutting-edge thermal solutions for Google's Plan of Record buildings, owning the entire thermal system design from the rack to the chiller. Our focus is to engineer and deliver solutions that maximize speed of delivery, optimize cost, enhance efficiency, and ensure reliability for Google's critical data centers. This team works on complex challenges, innovates with significant impact, and plays a crucial role in cooling the future while maintaining Google's competitive advantage. We work with various cross-functional teams, translating the evolving and demanding needs of Google's high-performance ML fleet into

Associate Computer Systems Analyst - Linux - Melbourne FL United States-Florida-Melbourne

Senior Software Developer Santa Clara, CA, United States, US The Oracle Cloud Infrastructure (OCI) Load Balancer team can provide you the opportunity to build and operate a suite of massive scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OCI is committed to providing the best in cloud products that meet the needs of our customers who are tackling some of the world's biggest challenges. This is an opportunity to be a part of a Load Balancer team and build innovative solutions for our customers from the ground up. We are looking for hands-on engineers with expertise and passion in solving difficult problems related to high-availability and scalability in service-oriented architectures. These are exciting times, and our team is still young and growing fast, working on ambitious new initiatives. An engineer at any level can have significant technical and business impact. We are looking for adaptable, self-motivated engineers with ability to learn quickly. We are looking for engineers that are eager to take requirements and turn those into high quality solutions. You should be both a rock-solid coder and a distributed systems generalist, able to dive deep into any part of the stack and low-level systems, as well as design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Design new features and systems for our customers. Experience with Java and/or Python is preferred. Work across teams to engineer the best system (both for operations

Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity and Related) 3 Locations posted: Posted 22 Days Ago

Senior Software Engineer, Machine Learning, Google Cloud Compute Sunnyvale, CA, USA; +1 more Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15%

Senior Computer Aided Measuring Specialist (Loft Tooling) USA - Berkeley, MO posted: Posted 12 Days Ago

Senior Machine Learning Engineer II 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 Are you passionate about AI? Do you love engineering solutions enabling fast, cutting-edge science? Are you eager to contribute to building products impacting the world for the greater good? As a ML Engineer at Axon, you will contribute to architecting and implementing the platform used by Axon scientists to bring safe, secure, reliable AI features to Axon devices. Collaborating closely with scientists and device engineers, you will enable new AI capabilities for Axon products (Fleet, Axon Body, Axon Air, and more). You will also make sure As part of a multidisciplinary team, you will be exposed to a wide range of domains and applications: from Automatic License Plates Recognition to Object Tracking and Automatic Speech Recognition. The ideal candidate will have a consistent track record of successfully optimizing models for the edge and deploying AI models at the edge, including on device with limited memory & connectivity,

Sr. Principal Scientist, Bioinformatics, Computational Biology, Precision Medicine India - Hyderabad posted: Posted 30+ Days Ago

AI Engineer 3 Locations posted: Posted 24 Days Ago

Senior Scientist - Computational Protein Design US - California - South San Francisco posted: Posted 30+ Days Ago

SoC Power Lead, Memory Subsystem Mountain View, CA, USA; +1 more 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. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $192000 - $279000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Lead the definition of power requirements for Tensor mobile System-on-Chips (SoCs) to achieve Power-Performance-Area (PPA) with a primary focus on the memory subsystem (memory controller, DDRPHY, DRAM). Own and drive cross-functional teams to deliver on power Key Performance Indicators (KPIs) for the memory subsystem and other major SoC IPs. Propose and drive power optimizations for the memory subsystem throughout the design process from concept to mass productization. Drive power-performance trade-off analysis for engineering reviews and product roadmap decisions. Represent status of SoC power to the executive leadership team. Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer

Sentinel Principal /Sr Principal Computer System Analyst 18894 United States-Utah-Roy