Strong Compute jobs

AI Senior Engineer, Payments AI Senior Engineer, Payments

Senior Finance Analyst, Data Centre Finance - EMEA Zaragoza, Aragon, ESP 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, 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. We are growing rapidly in existing regions as well as expanding into new regions. Key job responsibilities -

Software Developer, Kubernetes Compute Toronto, Canada Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Software Platform team accelerates developer velocity and increases system reliability by building the foundational platforms and tools that power Robinhood engineering. Within this group, the Kubernetes Compute team focuses on building and operating a highly available, scalable Kubernetes-powered container platform. We ensure that our infrastructure seamlessly supports reliable application deployments, integrates core platform capabilities, and enables multi-region scalability. We are expanding our core container systems to support our next phase of technical growth! As a Software Developer, you will focus on building, maintaining, and scaling our container provisioning platforms. Working alongside senior engineers, you will write code to improve our infrastructure capabilities and actively participate in our technical transition to Amazon

Associate Systems Support Engineer 3610 Accendra India At Owens & Minor, we are a critical part of the healthcare process. As a Fortune 500 company with 50+ facilities across the US and 18,000 teammates in over 90 countries, we provide integrated technologies, products and services across the full continuum of care. Customers-and their patients-are at the heart of what we do. Our mission is to empower our customers to advance healthcare, and our success starts with our teammates. Associate Systems Support Engineer (Windows/VMware) Job Description : Our innovative company is looking to fill the role of Windows Administrator. Day to day activities include developing and documenting system specifications, implementing hardware and OS, maintaining high operational uptime stringent SLAs, coordinating with applications and database teams and other operational and project-based tasks. ESSENTIAL JOB FUNCTIONS: Have a good understanding of Windows Server operating systems and be able to apply that knowledge to manage and maintain windows environment Perform systems administration and operation of windows based systems Operate, administer, and upgrade computer systems, devices, and software Deploy software which includes scheduling, executing, and troubleshooting the deployment of software applications Deploy security patches which includes scheduling, executing, and troubleshooting the deployment of security patches Provide certificate management services Provision and deliver computer systems and services Maintain computer systems in a fully operational state through monitoring, alerting troubleshooting, and performing repair and restoration activities to a compliant operational state Strong communication and interpersonal skills to interact with a diverse user community in quick-response situations and

Lead Security Architect – Cloud Data & AI Platforms Philadelphia, PA posted: Posted Yesterday

Electrical Engineer Boston, MA USA Electrical Engineer The Hardware Engineering Organization at QuEra Computing is seeking strong candidates for a Electrical Engineer to support the company's mission of building state-of-the-art, manufacturable, and deployable neutral atom quantum computers. The Hardware Engineering Organization plays a crucial role in accelerating the company's technology leadership and translating the company's scientific breakthroughs into products delivered to customers. To accomplish this mission, we are looking to hire a candidate with a rich background of developing a variety of electronics projects from concept all the way through to production and support. The ideal candidate will have experience at both enterprise-scale companies as well as startups. They will have technical knowledge of at least one of the following: low-noise analog design, high-speed digital systems, RF systems, FPGA-based control, or precision timing - with the ability to come up to speed quickly as needed in the other areas. Key Responsibilities - Designing precision analog, mixed-signal, and digital electronics supporting quantum control systems. - Collaborate with physicists, software developers, and mechanical engineers to define system requirements and interfaces. - Develop hardware subsystems including power delivery, low-noise analog front ends, high-speed digital control, and RF/microwave circuitry. - Capable of doing PCB layout (Altium preferred) and validation, working closely with other engineers and external manufacturing partners. - Guide bring-up, test, and debug of custom boards and system-level integration. - Follow best practices in electrical design, including design reviews, documentation, and validation procedures. - Strive for continuous improvement of system performance, reliability, and

SDE II, Identity Security & Abuse Prevention Seattle, Washington, USA Are you seeking an environment where you can apply the latest computer science techniques to secure the systems driving every order that Amazon ships to our customers? At Amazon, we are obsessed with customer trust. Information Security enables Amazon business leaders to secure the confidentiality and integrity of Amazon and customer data. We assess risk, classify data and systems, detect potential intrusion, and render useless the value of data that may be leaked. This team dives deep into security technologies and continuously raises the security bar across Amazon's Stores, Devices, and Other (CDO) by tackling complex engineering problems that require widespread support and multi-year execution plans. You'll be part of a world-class team in a fast-paced environment that has the entrepreneurial feel of a start-up. In this role, you will discover, define, and solve challenging problems across multiple teams and locations. You'll be surrounded by people who are smart, passionate about cloud computing, and believe that world-class service is critical to customer success. You will also create scalable engineering systems and solutions using cloud computing. Successful candidates for this position will have strong software engineering fundamentals (data structures, object-oriented design, and algorithms), experience in full-stack development, a well-honed arsenal of software architecture and design patterns, and a demonstrated competence in designing reusable, maintainable, and performant software written in a modern high-level language (Java, Python, C++, C#, Objective-C, JavaScript). You will be a champion for engineering and operational excellence. You will

Strategic Project Lead - Audio San Francisco, California, United States About Turing Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Position Overview We are seeking a Strategic Project Lead to own end-to-end delivery and growth for audio and multimodal AI initiatives. This is a client-facing, builder role at the forefront of AI - spanning audio, speech, language, and multimodal systems. The scope includes both commercial and technical ownership. You'll identify opportunities for collaboration, define the structure and terms of each engagement, and ensure successful delivery across internal and external teams. Success in this role requires the ability to navigate early-stage problem spaces, build trust with technical stakeholders, and consistently deliver outcomes in complex, evolving environments . We are looking for a strategic thinker with strong Audio AI data annotation experience who can translate loosely defined technical objectives into executable programs and grow relationships by consistently delivering value in complex, evolving environments. Primary Responsibilities

Senior Cloud Operations Engineer BENGALURU, KARNATAKA, India, IN 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. Compute is one of the core organisations within OCI. We are responsible for providing Compute power i.e. VMs and BMs. Cloud pretty much cannot exists without our org. The Compute org comprises of a family of critical foundational infrastructure services that drive OCI's hardware lifecycle activities Work with product team on the shared full stack ownership of a collection of services and/or technology areas. Understand the end-to-end configuration, technical dependencies, and overall behavioural characteristics of production services. Responsible for the mitigating critical customer incidents, or deployments or testing required to improve security, performance, availability, and scalability of service. Authority for end-to-end performance and operability. Partner with development teams in meeting SLA to unblock customers. Articulate technical characteristics of services and technology areas and guide Development Teams to engineer and add premier capabilities to the Oracle Cloud service portfolio. Understand and communicate the scale, capacity, security, performance attributes, and requirements of the service and technology stack. Demonstrate clear understanding of automation and orchestration principles. Act as ultimate escalation point for complex or critical issues that have not yet been documented as Standard Operating Procedures (SOPs). Utilise a deep understanding of service topology and their dependencies required

Staff Software ML Engineer Bangalore Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. Job Responsibilities As a Staff Software ML Engineer in System Optimization, you will implement, and evolve processes to ensure the efficient and high-performance operation of our in-house designed and developed driver monitoring and assistance technology. Your responsibilities will include: - Crafting and developing tools, frameworks, and reporting mechanisms for system optimization. - Streamlining software for deployment across IoT devices, implementing GPU/CPU/DSPs. - Enhancing data platforms and optimizing machine learning models deployed on the platform. - Improving driver monitoring and driver assistance algorithms to boost system efficiency and report key performance indicators (KPIs). - Managing production inquiries and ensuring overall application stability in production environments. - Effectively conveying highly technical results to diverse audiences. Required Qualifications: - Hold a B.E/B.Tech or M.E/M.Tech degree with a minimum of 6+ years of experience in software system optimization. - Exhibit exceptional attention to detail, strong analytical skills, and a creative mindset dedicated to achieving optimal system performance. - Demonstrate proficiency in programming languages such as C/C++, OpenGL, CUDA, and Python. - Possess a solid grasp of basic statistics, probability, and concepts in machine learning (ML) and computer vision (CV).

Data Center Hardware Engineering - Hardware System Integration Engineer Sunnyvale, United States of America At Apple, we push the boundaries of what's possible - and nowhere is that more evident than in the infrastructure that powers our most ambitious technologies. The Data Center Hardware Engineering Team designs and delivers the high-performance compute solutions that underpin Apple's services and products at scale. From custom silicon to full-system integration, our work ensures that Apple's global infrastructure is fast, efficient, and built to last. Every system we ship reflects our relentless commitment to engineering excellence and our belief that great hardware is the foundation of great experiences. The Hardware System Integration team sits at the heart of this mission, owning the design and realization of customized compute platforms from concept to mass production. We're looking for a Hardware System Integration Engineer who thrives in a highly collaborative environment, enjoys working across disciplines, and is energized by the challenge of bringing cutting-edge hardware to life. As a Hardware System Integration Engineer, you will own the end-to-end hardware engineering lifecycle for high-performance compute designs - from initial specification and schematic capture through board bring-up, validation, and factory build support. You will serve as a critical cross-functional partner to mechanical, power, software, firmware, silicon, and reliability teams, ensuring design requirements are met with precision and at scale. This role demands both deep technical expertise and strong communication skills to drive alignment across a broad set of stakeholders. Lead hardware system design and schematic capture for high-performance

Senior Software Engineer, Full-Stack Remote MEET ELOQUENT AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments. We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. Your Role As a Full-Stack Engineer at Eloquent AI, you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You'll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows. This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You'll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions. You will: - Design and build full-stack applications that power AI-driven workflows for enterprise users. - Develop high-performance front-end interfaces for AI agent control, monitoring, an

On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning Cupertino, United States of America Imagine being at the forefront of an evolution where innovative AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding innovative architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful clusters, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. Our group is looking for an ML Infrastructure Engineer, with a focus on model compilation. The role entails working closely with model authoring, runtime, and performance teams to ensure that models can bring to bear the full capabilities of the hardware. We're building

Associate Director, Computer System Validation & Quality Compliance Cambridge, MA Amylyx has an audacious mission to usher in a new era for treating diseases with high unmet needs. Where others see challenges, we see opportunities that we pursue with urgency, rigorous science, and unwavering commitment to the communities we serve. We are a clinical-stage company currently focused on post-bariatric hypoglycemia (PBH), Wolfram syndrome, and amyotrophic lateral sclerosis (ALS). Our mission is powered by our people. Our core values - be audacious, be curious, be authentic, be engaged, and be accountable - creating a culture of caring. Amylyx has assembled an experienced team ready to take action because the communities we serve have no time to wait. If you share our passion and are determined to tackle some of medicine's toughest problems, we encourage you to read the opportunity below and apply. The Opportunity The Associate Director, Computer System Validation (CSV) & Quality Compliance provides enterprise‑level leadership, strategic direction, and governance for the validation, lifecycle management, and continuous compliance of GxP‑relevant computerized systems, with a strong emphasis on the Veeva Quality Suite. This role ensures that digital quality solutions and supporting systems meet global regulatory requirements (FDA, EMA, ICH, GAMP 5), maintain data integrity, and enable a sustainable, inspection‑ready state across the organization. This person will partner closely with Quality, IT, Regulatory, Clinical, and business process owners to define system requirements, lead new system implementations and major enhancements, and drive harmonized, risk‑based validation practices. This role also oversees quality compliance processes

Principal fullstack engineer - PMTS California - Redwood City Are you a seasoned engineer who wants to reshape how the world's largest enterprises harness their data? The Informatica IDMC team-a strategic pillar of Salesforce-is building what comes next: an AI-native data integration platform where Generative AI, LLMs, and Agentic architectures don't just assist workflows-they fundamentally reinvent them. We're talking petabyte-scale data movement that thinks, adapts, and self-optimizes. This is a principal-level engineering role where you'll own the technical direction for one or more teams, making architectural bets at the frontier of data integration and AI. You won't just design systems-you'll define the patterns that thousands of enterprise customers depend on to run their businesses. We need a high-performing hybrid engineer who leads from the front: shipping production-grade code that powers intelligent data pipelines one day, and elevating an entire team's craft through architectural vision and mentorship the next. If you want to work at the intersection of massive-scale distributed systems and cutting-edge AI-where your decisions directly shape a platform processing more data than most engineers will see in a career-this is the role. Responsibilities AI & LLM Proficiency - Experience with Generative AI, LLMs, and AI-assisted development tools (Claude Code, Cursor). Interest in applying AI to automate data integration workflows. Technical Leadership & Architecture - Act as the Technical Leader for one or more teams, serving as the go-to technical authority for cross-team plans and problems. - Write architectural documents and design specifications for multi-team projects; negotiate interfaces and resolve

Research Intern Remote Machine intelligence will soon take over humanity's role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence. The Role - Contribute to cutting-edge research in scalable, distributed machine learning systems alongside experienced researchers and engineers. Explore new ways of building and verifying neural networks that operate across huge, decentralised, topologies of heterogenous devices. Responsibilities - Contribute to original research in deep learning with a focus on modular architectures, verifiability, continual learning, and scale - Design and prototype novel neural network architectures for decentralized compute environments - Contribute to joint publications and projects in collaboration with academic and industry researchers targeting top-tier AI venues such as NeurIPS, ICML, and ICLR Competencies Must Have - Currently enrolled in a PhD program (or, in exceptional cases, in a Master's program) in Computer Science, Machine Learning, or a related field - Prior experience conducting original research, ideally with authorship or co-authorship on ML papers - Strong understanding of deep learning fundamentals and experience working with in at least one major framework, e.g. PyTorch, JAX, or TensorFlow

Staff Fullstack Engineer, Core Analytics San Francisco, CA Amplitude is the leading AI analytics platform, helping over 4,700 customers-including Atlassian, Burger King, NBCUniversal, and Square-build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2's Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude's Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion-one focused on psychological safety, empathy, and human connection-that will allow employees of all backgrounds to thrive. About The Role & Team We're looking for a Fullstack Engineer to join the Core Analytics team, the group behind our flagship analytics product loved by thousands of product teams worldwide. You'll work with our Product Manager and Designer to define, build, and ship end-to-end features that elevate the Analytics experience. You'll own your impact from shaping product direction to delivering performant, reliable, and delightful user experiences. Our engineers are customer-focused and solve complex data problems to deliver a

Principal Software Engineer, Amazon DynamoDB Dublin, IRL Join Amazon DynamoDB - the fully managed NoSQL database service that powers the world's most demanding applications with single-digit-millisecond performance at any scale. As a cornerstone of AWS Cloud, DynamoDB serves industry leaders like Lyft, Airbnb, Samsung, Toyota, and Capital One, enabling their mission-critical workloads and innovative customer experiences. Dynamo DB is a part of AWS Utility Computing (UC) which 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 Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Key job responsibilities You are passionate about designing large scale and resilient storage systems, innovating and supporting new technological architectures. You'll think globally when building systems, ensuring we build high performing, scalable systems that fit well together. We are looking for pragmatic visionaries who can translate customer needs into workable technology solutions. Your expertise is deep and broad; you're hands on, producing both detailed technical work and high-level architectural designs. As a Principal Engineer on our team, you will work with leaders across database services organization to define our business and architecture vision. You will balance technical leadership and savvy with strong business judgment

Full Stack Engineering Central, Hong Kong Island, Hong Kong

Systems Development Manager, Managed Operations Berlin, Berlin, DEU AWS is set to introduce the inaugural European Sovereign Cloud (ESC), marking a significant development in utility computing (UC). To spearhead this initiative, we are actively seeking experienced development engineering leaders with a strong background in both development management and operations expertise. As part of the AWS Managed Operations team, you will play a pivotal role in building and leading operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass overseeing the launch of the ESC in 2025, working closely with AWS global teams and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring improvements in availability, reliability, latency, performance, and efficiency of the ESC. As a leader, you will manage teams in both systems operations and development, emphasizing automation and engineering efficiency. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in building a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product

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