Strong Compute jobs

AI Memory Solution Architect San Jose, CA Job Title: AI Memory Solution Architect Office Location: San Jose, CA Job Type: Full-Time Work Model: Onsite About SK hynix America At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Job Summary: - As a AI Memory Solution Architect, you will play a pivotal role in designing cutting-edge AI memory and storage solutions. Leveraging your deep understanding of computer architecture, you will lead and coordinate efforts between hardware and software teams. Your primary focus will

Engineering Lead - Extreme Retrieval Bengaluru, KA, IN

AWS Cloud Infrastructure and Compute Architect Hong Kong QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The AWS Cloud Engineering Team provides a scalable, performant and best practice platform for QRT's application and core teams to utilize in deploying cloud native services. This team is critical in ensuring that applications are built on a strong AWS foundation from the perspective of governance, security and connectivity. Your future role at QRT: We are hiring an experienced cloud architect, who has a deep knowledge in AWS infrastructure and compute services along with broad knowledge across the expansive suite of AWS services. The role will require close collaboration across QRT business and technology groups to provide cloud architecture advisory, design and implementation support on new and existing platforms, which lowers the burden of knowledge on development teams and accelerates the time to market of new applications, features and solutions. You will enable the QRT Business Teams to scale through: - Accelerating the time it takes to design and implement new business applications and features whilst assuring sound architectural fundamentals are in place: - Creation of re-usable and implementable architecture patterns and best practices, which advance the initial design and development phase of a project. - Identifying and solving common challenges which impact application and

Full Stack Software Engineer, ML Data & Evaluations Redwood City, CA, Redwood City, California, United States Join Us in Building the Future of Home Robotics At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time. We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you. What to Expect You are the bridge between raw data and robotic intelligence. As a Full Stack Engineer, ML Data & Evals, you will build the "Laboratory" where our ML team evaluates and deploys models. Your work accelerates the research-to-production loop, creating the infrastructure to launch on-robot evaluations and visualize model performance in complex, real-world scenarios. What You'll Do - Interactive Data Systems: Architect the interfaces and engines that unify robot and Skill Capture Gloves™ data, enabling "human-in-the-loop" workflows, from episode annotation to seamless switching between autonomous execution and manual teleoperation intervention. - Evaluation & Benchmarking: Develop high-performance tools to compare model-driven motion against human-captured ground truth, helping quantify model progress across diverse tasks. - Data Processing & Orchestration: Architect processing services that transform raw captures and sensor data into ML-ready formats, ensuring a seamless flow from our global

Head of System Architecture, Frontier AI Hardware San Francisco | OnSite ABOUT SYGALDRY Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to superintelligence, and addressing the problem of rising compute costs and energy bottlenecks. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact. ABOUT THE ROLE: This role is focused on the architecting of high-performing AI hardware, and does not require prior knowledge of quantum computers. This is a hands-on architecture role for someone who enjoys moving between whiteboard-level system design, performance modeling, and lightweight simulation/emulation, with direct influence on hardware, firmware, and software co-design decisions. We will share more detail about this role during in-person discussions. YOU MAY BE A GOOD FIT IF YOU HAVE: - Architected end-to-end heterogeneous compute systems spanning CPUs, GPUs and novel accelerators. - Analyzed scale-up interconnects (e.g., NVLink, UALink, Infinity Fabric, or equivalent) and their impact on latency, bandwidth, and synchronization of high performance AI hardware - Designed timing arcs, critical paths, and throughput models across complex multi-device systems. - Identified system-level bottlenecks in training, inference, and reinforcement learning workflows at

Finance Manager, AWS Infra, AWS Infrastructure Finance Seattle, Washington, USA Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services - now widely known as cloud computing - based on Amazon's own back-end technology platform. On the AWS Finance team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously and you should too! We provide end-to-end financial support driving AWS to be the low cost provider in Cloud computing and leader in customer experience. This includes supporting business owners in building, operating and innovating our Cloud datacenters. We support operations, safety, security, business development, and engineering. You should be passionate about producing financial analysis enabling management to make breakthrough decisions, drive cash flow, and ultimately delight our customers. Key job responsibilities As a member of this team, you will work with Regional AWS (Business and

Senior Machine Learning & AI Engineer Bristol posted: Posted Today

Staff Machine Learning Scientist Brisbane, California About this opportunity: At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment. They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer. The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote. What you'll do: - Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.). - Build new models or fine-tune existing models to identify biological changes resulting from disease. - Build models that achieve high accuracy and that generalize robustly to new data. - Apply contemporary interpretability techniques to provide a deeper understanding of

Data Science & AI Intern Data Science & AI Intern

Finance Manager, Cloud Capacity Finance Kirkland, WA, USA; +2 more Google Cloud Platform (GCP) is changing the way the world accesses compute power. As global compute capacity rapidly shifts to the public cloud, GCP delivers virtualized compute, big data/analytics, and machine learning tools to its customers at an unparalleled scale and speed, exposing Google's infrastructure to external customers. GCP is one of the fastest growing product areas at Google. The Capacity and Power Finance team is working in a highly dynamic, evolving environment supporting capacity and power planning decisions, both ML and classic. Within Cloud Expansion Finance, we oversee new product launches, data center launch planning, and long range planning for existing infrastructure (including Google sites, third-party sites, and networking infrastructure), and more. We are an integral partner and strategic advisor to the Cloud leadership team, advising on how to invest resources to grow a strong and sustainable business. This role has the opportunity to drive influence on large budget decisions and long-term cloud strategy. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $171000 - $248000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Partner with TI (Infrastructure) Finance, Demand and Supply Planning, Supply Strategy and Portfolio Planning, and Cloud Expansion Product to provide Go vs No-Go recommendations to data center lease structuring, expansions and procurement. Work with supply and capacity planning to understand our location specific supply vs demand matching (SDM),

Senior Machine Learning Engineer I Shanghai posted: Posted 8 Days Ago

Director, Computational Pathology Biomarker Lead (Oncology/BioPharma) (m/f/d) AZ Computational Pathology GmbH - Munich posted: Posted 24 Days Ago

Staff/Senior Staff/Principal Engineer Chip Verification Bangalore (India)

Chip Simulation Software Intern San Jose, CA, United States About Etched Etched is building the world's first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. The roles Our chip simulation and tooling role will co-design, develop, and test simulations of our custom hardware and tools that engineers use to analyze those systems. You will be working at the cutting edge of hardware innovation, closely coordinating with both software and hardware teams across their whole development path. We are looking for Fall '26, Spring '27, and Summer '27 interns. You may be a good fit if you have - Progress towards a Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related technical field. - Proficiency in C/C++ or Rust - Strong fundamentals in data structures and algorithms - Strong understanding of low-level software engineering - Strong understanding of hardware/software co-design - Excellent communication and collaboration skills Strong candidates may also have (Nice to have qualifications) - Experience with Linux internals, kernel development, or driver debugging - Experience with hardware diagnostics or interpreting hardware logs - Exposure to server virtualization or CI/CD pipelines -

AI Trainer - Advanced Mathematicians US (PST) Remote AI Trainer - Advanced Mathematicians About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with advanced Maths skills to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to £30/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing Maths Judging the performance of AI in performing Math-related prompts Improving cutting-edge AI models What you'll bring Advanced Maths skills and ideally a degree in a Maths related field A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to

Senior Software Engineer, Server Networking Security (Rust) Dublin Come join the Server Ingress Security team, where we are rearchitecting MongoDB Server's ingress networking to make MongoDB clusters even more secure. This new team is building the Atlas Network Protection layer, a set of performant, security-critical services that harden MongoDB's pre-authentication attack surface and provides the ability to respond rapidly to emergent threats. We are looking for talented Senior Engineers to join the team and be founding members, where you will play a crucial role in our multi-year roadmap. Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies security and systems engineering fundamentals to protect a popular database at scale, join us! We are looking to speak to candidates who are based in Dublin for our hybrid working model. Candidate Profile - 5+ years of experience building production-quality systems software - Experience with large backend/compiled codebases and performance-sensitive software, preferably in Rust - Bonus points for experience working hands-on in security-sensitive or networking-adjacent domains - Strong systems fundamentals, including multi-threaded programming and performance profiling. Bonus points for: - Understanding of network protocols, TLS, and connection lifecycle management - Familiarity with security concepts such as attack surface reduction, input validation, memory safety, and defense-in-depth architectures - Excellent verbal and written technical communication skills, with a strong desire to collaborate with colleagues - Strong time management skills and the ability to realistically assess project complexity - B.Sc. in Computer Science

DNAFS_CITI - ETL Developer - CON Mexico ETL Developer - AB Initio specialist (Desarrollador ETL especialista en AB Initio) Location: Mexico (Mexico City, Guadalajara, Monterrey) - Hybrid as per Infosys Mexico policy (CDT/EDT time) Role Overview We are seeking an ETL Developer with strong experience in enterprise data integration and Big Data environments. The role focuses on building, optimizing, and supporting ETL pipelines and batch processes. Key Responsibilities - Design, develop, and maintain ETL workflows. - Optimize data processing and performance. - Support and monitor batch jobs and schedules. - Collaborate with cross ‑ functional, bilingual teams. Basic Qualifications - Bachelor's degree or foreign equivalent in Computer Science or related field. - 6+ years of IT experience , including data engineering and cloud solutions. - Bilingual (Spanish & English) - strong verbal and written communication. Mandatory Skills - Ab Initio ETL Development. - Hive, Big Data, PySpark. - SQL / Oracle. - Unix / Linux & Shell Scripting. - Job scheduling: Control ‑ M / Control Centre / Autosys. Preferred Skills - Experience working in large ‑ scale enterprise or regulated environments. - Exposure to data warehousing and reporting solutions. - Performance tuning and troubleshooting of ETL jobs. - Familiarity with Agile/Scrum delivery models. - Strong communication and stakeholder coordination skills. Other Requirements - Ability to work under tight timelines and manage complex requirements. - Flexible to work during CDT/EDT time zones and meet for hand-over activities to India team if needed. - Self-motivated, proactive, and a strong team player.

High-throughput data generation to advance ML design Palo Alto, CA At Inceptive, you will drive development forward that could help billions of people. To accomplish this, you will be part of a collaborative, antedisciplinary team building our biological software. Our AI models learn to generate therapeutic molecules with improved properties by training on natural and experimentally-derived data. Acquiring data relevant to function at scale is a critical step in maximizing the performance of our models. We think broadly about the type and scale of data necessary to improve our models, then identify or invent the methods needed to acquire that data. You will be responsible for the development and deployment of novel high-throughput assays to measure various properties of large sequence libraries. You will use a data-driven approach to optimize assays and apply chemical and biological insights to maximize the utility of information collected. You will apply this data to efficiently improve design of therapeutic molecules in close collaboration with biologists, ML and data engineers, and translational experts. Your Mission, should you choose to accept it - Embody our vision of an antedisciplinary environment and embrace learning about areas outside of your traditional area of expertise - Collaborate with team members from diverse backgrounds to create experiments that creatively leverage biology and computation - Develop and execute pooled assays to measure sequence-to-function in vitro, in cells, and in vivo - Generate, analyze, and communicate data that maximally impacts AI-based molecular design Qualifications - PhD and 4+ years of post-PhD experience

Algorithm and Applied AI Scientist (DSP) Haifa Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world's manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together. As an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining Augury's AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis. A Day In Your Life Be the technical lead of an innovative project. Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams. Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC

Senior Platform Engineer Gurugram The Infrastructure Engineering team is responsible for building and maintaining a self-service internal development platform that enables MongoDB engineering teams to reliably deploy and operate their own production services and products. We work with numerous engineering teams across the company to understand their infrastructure requirements and development workflows, develop broadly applicable self-service platform services and tooling, continuously monitor how platform services are being utilized, and look for ways to improve developer productivity through automation and education. We are big open source enthusiasts and use a number of open source tools in our stack (contributing upstream whenever possible). Some of the tools we use regularly include Go, AWS, Kubernetes, Crossplane, Terraform, Helm, Drone, Prometheus, and Grafana. However, technology is nothing without a stellar team of engineers that are focused on doing high quality work and working as a team to solve complex distributed computing and platform engineering problems. This is where you come in! We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Our ideal candidate - Has built and operated large-scale distributed systems in cloud providers (AWS strongly preferred) - Has a strong backend programming background. Fluency in Go is strongly preferred; deep experience with another compiled or strongly-typed backend language is acceptable - Has experience working with AI coding agents and can demonstrate building high quality context to yield high quality outputs - Has experience designing and implementing medium-to-large software projects, including driving design reviews and mentoring

Client Computing Group Demand Planning Lead 5 Locations posted: Posted 9 Days Ago

Platform Support Engineer Atlanta Platform Support Engineer As a Platform Support Engineer in our SRE Operations team, you will be a key player in ensuring the 24x7x365 smooth operation of Saviynt's Enterprise Identity Cloud. This role focuses on maintaining the stability, performance, and reliability of our platform with a strong emphasis on application layer support and operational ownership. You will be working closely with other operations team members, development, and engineering to resolve issues, implement improvements, and provide exceptional support. This is an opportunity for someone who enjoys operational challenges and problem-solving in a dynamic cloud environment and wants to see their work through to completion. WHAT YOU WILL BE DOING Strong pod-level troubleshooting skills in AKS/EKS (not just restarting pods). Analyze application and DB (RDS, MySQL) performance issues. Deeply investigate and analyze application performance issues (Java, Grails, Hibernate), identifying root causes and implementing solutions. Oversee the monitoring of our SaaS applications and underlying infrastructure (Kubernetes on AWS and Azure, VPN connections, customer applications, Elastic Search, MySQL) for alerts and performance issues. Strong understanding of basic computing concepts like DNS, IP addressing, Networking, and LDAP. Effectively participate and contribute in on-call escalations with a strong operational mindset and provide technical guidance during critical incidents. Proactively communicate with customers on technical issues when required. Ability to guide junior engineers when needed technically. Manage the full lifecycle of alerts, incidents, and service requests reported through FreshService, ensuring timely and accurate logging, prioritization, resolution, and escalation. Develop, implement, and maintain operational procedures, runbooks,

Staff Cloud SRE – AI/ML Platform & GPU Compute London About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role This is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up. As a Staff Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale). This is a founding Cloud SRE role. You won't inherit

Strategic Technical Associate Paris, London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will join our Paris or London office, working closely with senior leadership and cross-functional teams on high-impact strategic and technology-driven initiatives. This role is designed as a high-exposure, accelerated learning opportunity for exceptional early-career profiles who combine strong analytical horsepower with genuine technical curiosity. You will operate at the intersection of strategy, AI initiatives, research enablement, operational projects, and internal tooling, contributing directly to initiatives that impact the firm at scale. Your future role at QRT: - Support cross-functional strategic projects across research, technology, and business teams - Contribute to internal AI and LLM-related initiatives - Build lightweight data tools and automation scripts - Assist with small coding and workflow optimization projects - Prepare structured analyses and executive-ready materials - Coordinate and follow up on multi-stakeholder initiatives to ensure strong execution Your present skillset: - Strong academic background in mathematics, engineering, computer science, finance, economics, or related fields - Demonstrated excellence through academic performance, competitions, hackathons, research, or meaningful side projects Skills: - Strong analytical and logical reasoning abilities - Coding