Strong Compute jobs

Data Reliability Engineer Bengaluru, India JOB TITLE Data Reliability Engineer A CAREER WITH CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. What you'll do - Ensure smooth day-to-day implementation of a large research infrastructure and the timely delivery of comprehensive and error-free data to Cubist's portfolio managers across the globe - Serve as a frontline owner for mission-critical data ETL pipelines that power trading and investment decision-making, ensuring reliability, accuracy, and timeliness. - Actively manage and resolve data incidents in a fast-paced trading environment, partnering closely with investment professionals, data scientists, and external data vendors. - Design and build tooling, automation, and robust documentation to improve operational efficiency, scalability, and data quality across the platform. - Play a hands-on role in daily data operations, including data validation, remediation, and enrichment, with opportunities to continuously improve and modernize workflows through engineering best practices. What's REQUIRED - Bachelor's degree in computer science or a related field. - Strong proficiency in SQL Server and Python programming, with experience in AWS and both Windows and Linux environments. - Exceptional attention to detail with a strong appreciation for well-defined processes and systems. - 3+ years of experience in a client-facing support or operations role. - Excellent organizational, communication, and interpersonal

Software Development Engineer (ML), AGI Customization, AGI Customization Boston, Massachusetts, USA The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive ML Engineer with a strong machine learning background, to build customization capabilities such as fine tuning and distillation. As a ML engineer with the AGI team, you will be responsible for leading the development of novel LLM training techniques and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions. Key job responsibilities The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment. Responsibilities- Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility. Work closely with Applied scientists to process data, scale machine learning models while optimizing Will work in an Agile/Scrum environment to deliver high quality software. About the team Our highly talented team is a broad mix of experience levels and tenures, and we're building an environment

AI Engineer Toronto, ON, Canada AI Engineer

Director, Digital Compute & Power Optimization Toronto, Ontario, Canada Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Job Description We are looking for a hands-on Digital Design Engineering Manager to drive high-speed connectivity solutions. You will build and lead a team responsible for delivering the micro-architecture and implementation of front-end digital design, including RTL development, synthesis, IP integration, and block-level verification for high-performance ASICs. The ideal candidate should have strong experience with low-power design techniques and a solid understanding of SerDes DSP design, including equalizer optimization for power and area efficiency. The candidate must also have a good knowledge of communication and interface protocols such as CXL/PCIe (Gen 3 and above), Ethernet, or DDR. Basic qualifications: - Strong academic and technical background in electrical engineering. A Bachelor's degree in EE is required, and a Master's degree is preferred. - 10+ years' experience supporting or developing complex SoC/silicon products for Server, Storage, and/or Networking applications. - 5+ years' experience managing a team of RTL design engineers.

Principal - Quantitative Developer - Python / C++ & Cloud MANYATA TECH PARK, L5 BUILDING, BANGALORE India posted: Posted 30+ Days Ago

Network Engineer - ML Infrastructure (High-Speed Interconnects) Palo Alto, CA ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: xAI is building at a furious pace with the latest compute and switching hardware to help people understand the universe. We are looking for exceptional ML Infrastructure Engineers with deep expertise in high-speed interconnect technologies to design, build, and optimize the network fabric that powers large-scale AI training and inference clusters. This strategic role will drive innovation in high-bandwidth, low-latency, power-efficient interconnects critical for AI/ML clusters based on advanced computing platforms. You will have the opportunity to work on all modalities of interconnects connecting GPUs and switches both inside and between data centers, including our primary front and backend networks that train Grok and that customers use for inference. Engineers will own all aspects from design and development to build and operations. You will be expected

Data Scientist (Forward Deployed) Japan About Fundamental Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS - the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict. At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI. About the role Fundamental is seeking a Forward Deployed Data Scientist/MLE to facilitate the adoption of NEXUS and collaborate with customers to address complex technical challenges. The Data Scientist is an integral part of our FDE team, which is dedicated to driving the successful deployment of Fundamental products and proving value over legacy baselines or net new use cases. They work hand-in-hand with customers from the Proof of Value stage to post-implementation, ensuring our solutions run securely in the client's production heartbeat. In this role, you'll manage customer relations involving multiple stakeholders (IT, C-suite, and data science teams) and function as a key bridge, translating field insights into our product roadmap. Key responsibilities - You'll individually help deploy into production use cases with considerable business impact, moving from "science experiments" to definitive

Distributed Systems Engineer — Full Time Main Office | OnSite Dedalus (YC S25) is hiring a full-time distributed systems engineer to help build the infrastructure layer powering the next generation of AI agents. We are building persistent compute infrastructure, cloud sandboxes, and developer tools for long-running AI agents. Our systems span virtualization, orchestration, storage, networking, and low-level runtime infrastructure. The role is based in San Francisco and involves working closely with a small, highly technical team operating at startup speed. WHAT YOU'LL WORK ON - Distributed systems infrastructure for large-scale agent workloads - Virtualization and sandboxing technologies - Persistent compute and storage systems - Scheduling, orchestration, and reliability engineering - Performance optimization across systems layers - Internal developer platforms and infrastructure tooling - Production systems operating under real-world scale and latency constraints REQUIREMENTS - Strong systems programming ability in Rust (preferred), Go, C/C++, or similar languages - Graduate-level knowledge of distributed systems and operating systems concepts - Experience building distributed systems in industry, research, or open source - Experience with Kubernetes and modern cloud infrastructure - Familiarity with one or more of the following: - distributed block storage - consistency models - virtualization and hypervisors - kernel or low-level systems architecture - Strong understanding of systems performance, reliability, and debugging NICE-TO-HAVE - Published systems research papers (NSDI, OSDI, SOSP, ATC, EuroSys, etc.) - Experience working on operating systems, kernels, or virtualization stacks - Contributions to open-source systems projects (Linux, Firecracker, Cloud Hypervisor, etc.) - Experience with low-level performance optimizatio

Full-Stack Data Scientist - Pricing Portugal, Lisbon 💙 About Bounce... Bounce is building cloud storage for the physical world, starting with the largest global luggage storage network in existence. Bounce's marketplace connects travelers with 30,000+ small business locations worldwide for hyper-local short term baggage storage. With more locations globally than Burger King, and more locations in New York City than Starbucks, Bounce has served 3M+ users and stored 10M+ bags, and paid over $10M to small business partners. To achieve this, Bounce is a fast-paced and scrappy team. We believe that experimentation fuels innovation, so we move quickly, testing new ideas and adapting in real time. If you're ready to make an impact in a high-energy, close-knit, and collaborative environment - Bounce is the place where you can move fast, think big, and shape the future of travel. Join us as we make the world a lighter, more accessible place! Bounce has been named the Inc5000's fastest-growing travel company in the USA in 2024 and is proudly backed by leading Silicon Valley investors, including Andreessen Horowitz, General Catalyst, and Sapphire. (Learn more about Bounce's Series B HERE and also learn about our Japan Expansion HERE ) About the role… Decisions are at the foundation of every Bounce experience. As a Data Scientist on the Pricing team you will work in a dynamic environment, embracing moving quickly to ensure data is at the heart of how Bounce prices its marketplace - for travelers, for partners, and for the long-term health of

Sr. HiTech/Semiconductor Partner Solutions Architect, AMER Partner Industry & Solutions Seattle, Washington, USA Amazon Web Services (AWS) is looking for a Senior Partner Solutions Architect (PSA) with domain expertise in the Semiconductor and High-Tech Electronics industry. As a HiTech PSA, you will have the opportunity to deliver on our strategy of accelerating adoption of AWS cloud computing services through our consulting and technology partners and their semiconductor and electronics customers. AWS partners include the largest systems integrators, EDA tool providers, foundries, and innovative technology companies who are using AWS as their cloud platform of choice. This role will focus on working with multiple strategic consulting and technology partners to define and build technical solutions that drive top-of-funnel pipeline creation and deal progression. The ideal candidate will possess deep technical skill in semiconductor design workflows, EDA tool architectures, high-performance computing, storage architectures, and cloud computing, as well as customer-facing and technical sales skills at all levels of a sales organization. The ideal candidate should also have a demonstrated ability to think strategically about business, product, and technical challenges in the semiconductor industry. The ideal candidate is an influencer by nature and must be seen as someone partners and customers are eager to engage with and have a strong hands-on approach. They will be the subject matter expert for the Semiconductor/HiTech industry to become a trusted advisor to sales teams and customers, driving customer outcomes through partners. They will be responsible for accelerating customers' cloud adoption in the semiconductor industry, including chip

Data Engineer (C++) Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Job responsibilities include, but not limited to the followings: - Transforming a wide range of structured and unstructured data into standardized outputs for quantitative analysis and financial engineering. - Overseeing the integration of new technologies and initiatives into data standards and structures - Enhancing data quality & integrity by developing validation tools to measure the effectiveness of data enrichment. - Assessing system performance and making recommendations for software, and data storage improvements - Developing the utility tools that can further automate the software development, testing and deployment workflow. What You'll Bring: - Strong academic background -

Senior/Staff Machine Learning Engineer Redwood City About Dexterity At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses worldwide. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked 100+ million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest-growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! About the Role As a Senior/Staff Machine Learning Engineer, you will be working on a myriad of challenges related to robot task and action planning. You will leverage techniques from machine learning to solve hard sequential decision problems that require reasoning about the physical world and its dynamics. You will also stay abreast of the latest progress in imitation learning, reinforcement learning, and other related fields in order to further develop Dexterity's technology

UK Internship Program London, UK, United Kingdom Perplexity is excited to announce the Internship Program for exceptional Master's or PhD students studying Computer Science or Engineering in the UK, enrolled in the 2025-2026 academic year. This is an intensive program in which you will work directly with our AI Inference team. This program offers a unique opportunity to gain valuable experience in a rapidly growing AI startup. Outstanding performers might be offered a full time position at the end of the program. Our AI Inference team is responsible for running the models behind the Perplexity products. The team maintains the inference engine and deployments behind models ranging from single-node embeddings to distributed sparse Mixture-of-Experts models, maintaining large GPU clusters. With a keen focus on latency and throughput, the Inference team is responsible for the entire serving stack, from GPU kernels to networking and monitoring infrastructure. Responsibilities - Work with the inference team to improve serving latency and throughput - Bring up support for new models and state-of-the art inference optimizations or quantization schemes - Optimize inference across the entire stack, from GPU kernels to serving endpoints Qualifications - Strong engineering track record with proven knowledge of fundamentals and programming languages (multi-threaded programming, networking, compilation, systems programming, etc) - Pursuing a Master's or PhD in Computer Science with a focus on performance-related subjects (HPC, Compilers, Distributed Systems) - Experience with ML frameworks (Torch, JAX) - Experience with GPU programming (CUDA, Triton) - Experience with High-Performance Computing (OpenMPI) Schedule - Internship program:

DevOps Engineering AMTS Virginia - Herndon Overview of the Role We are looking for an early-career DevOps engineer to join a team of highly motivated software, systems and security engineers, working on infrastructure at scale. Be part of the team that solves infrastructure deployment problems with software, delivering high velocity and high quality infrastructure in public cloud environments. Responsibilities Build a foundation in solving infrastructure problems with code, with a focus on compute capacity and Kubernetes deployments at scale Come up to speed with Hyperforce platform tooling supporting Commercial and GovCloud deployments, developing expertise in Infrastructure and Service builds (Day0) and redeployment (Day2) operations Transform manual processes into automated governance solutions Create and maintain documentation for systems and processes Collaborate with various Infrastructure teams across Salesforce, growing your influence and cross-functional skills Work with a highly innovative team of developers, open-source committers, and architects - researching the right tools for the job, and helping build them when they don't exist yet What You'll Learn Large-scale production infrastructure management within 3rd party cloud service providers (AWS and beyond) Ownership and accountability for infrastructure domains, with mentorship from senior engineers Real-world DevOps practices across the full infrastructure lifecycle Required Qualifications Strong background in Computer Science, Computer Engineering, or a related field Must be located in North America Familiarity with AWS or other cloud environments through coursework, personal projects, or internships Exposure to containers (Docker) and container orchestration concepts (Kubernetes) Coursework or project experience with Infrastructure as Code tools (Terraform, Ansible, CloudFormation, or

Principal Compute Engineer Portland, Oregon, United States of America posted: Posted 30+ Days Ago

Communications Specialist, Chips, Amazon Seattle, Washington, USA Amazon is inventing at the frontier of computing - designing custom chips that power cloud infrastructure and AI workloads at unprecedented scale. We're seeking a communications professional to join our team and help tell that story. For over a decade, Amazon has designed custom chips that have transformed cloud computing and artificial intelligence. What began with the 2015 acquisition of Annapurna Labs has grown into a $10+ billion business. Today, Graviton processors run applications for 90% of AWS's largest customers and Trainium chips train frontier AI models including one of the world's largest AI supercomputers. As PR Specialist for Chips, you'll support how customers, media, and the industry understand Amazon's leadership in semiconductor design and advanced computing hardware. You'll help translate chip architecture breakthroughs and large-scale deployments into clear, credible stories - contributing to major product launches, customer wins, and technical announcements. This is a unique opportunity to gain high-visibility experience on one of Amazon's most strategic communications programs - while building deep connections across the company's global communications organization. The ideal candidate will be organized, resourceful, and comfortable managing competing priorities in a fast-moving environment. You'll need strong writing skills, good project management instincts, and the initiative to see what needs doing and do it - without waiting to be asked. Key job responsibilities - Drive communications support for product launches, strategic announcements, and thought leadership programs - Build media relationships and pitch stories that advance Amazon's narrative in top technology publications

Manager, GPU Accelerated Data Analytics 3 Locations posted: Posted 30+ Days Ago

AI/HPC System Engineer San Jose, CA Job Title: AI/HPC System Engineer 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: - This role will be responsible for assuring SK hynix emerging technology leadership to be maintained and leading the next generation of memory-centric architecture using your expertise in computer system and SW technologies including open source tools to demonstrate benefits and use cases. - AI/HPC

AIML - Senior Machine Learning Infrastructure Engineer -ML Compute, ML Platform & Technology Santa Clara, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something! As a Senior Engineer on ML Compute Team, you'll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your work will include: Collaborating with teams across Apple on ML workloads such as training, inferencing, fine tuning etc.; Driving the design and delivery of critical features to facilitate ML compute workloads; Effectively communicating complex features and systems in detail; Understanding industry & company- wide trends to help assess & develop new technologies. Your work will impact hundreds of millions of users and be essential to the success of some of the most visible current and future Apple features. We are the team who build and maintain compute infrastructure to run ML workloads at Apple

Senior / Software Engineer Singapore, , Singapore Company Description: Job Description: We are looking for a versatile and resourceful Senior /Software Engineer Develop desktop and cloud-based software tools for Renesas microcontrollers Analyze requirements, create design documents and perform actual source code implementation Develop test specifications and perform testing to ensure software quality Provide technical support to customers in microcomputer applications including training and technical documentations Qualifications: Degree in Computer Engineering / Electronic Engineering or Computer Science Good knowledge of Java, Typescript, Python and familiarity with Web front-end development and Object-Oriented Design patterns Passion for writing well-architected readable code for easy maintenance by a team of software developers A team player who is self-motivated, resourceful, proactive and able to work in a collaborative environment Strong interpersonal, communication and organizing skills Additional Information: Renesas is an embedded semiconductor solution provider driven by its Purpose ' To Make Our Lives Easier .' As the industry's leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ' To Make Our

Principal Research Scientist - AI Scaling & Optimization Mountain View, California; San Francisco, California Principal Research Scientist - AI Scaling & Optimization P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development, by building and running the world's best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company's AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners. Role Summary As a Principal Research Scientist - Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train,

Senior Physical Design Engineer Tokyo, Japan Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a senior physical design engineer to join Tenstorrent's AIDC Yayoi project, driving chiplet-level and chip-top physical implementation of high-performance CPU-based SoCs in a cutting-edge system-in-package environment. This role is hybrid, based out of Tokyo, Japan. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - You have a Bachelor's, Master's, or PhD in electrical engineering, computer engineering, or computer science, with extensive experience (typically 10+ years) in SoC/ASIC/GPU/CPU physical design on taped-out designs. - You are highly skilled with industry-standard tools (e.g., Synopsys/Cadence) and physical verification, and comfortable scripting in TCL and at least one other language (e.g., Python). - You are a strong collaborator who can guide and mentor junior engineers, communicate clearly with global

Sr. Power Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA 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 Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) 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. We are looking for a Hardware Design Engineer with strong skills in both hardware and software. In this role you will be responsible for architecting, designing, simulating and validating power delivery multi-source solutions on machine learning products and support those designs in AWS fleet through their entire life cycle. You will work cross functionally with AWS monitoring teams, members of the Hardware Design team, supply chain team, vendors, ODMs and additional teams across AWS to improve quality and reliability of products operating in the fleet. Key job

Member of Technical Staff (Data Scientist) San Francisco, California, United States Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done . Not another text-to-SQL bot. Not another dashboard. You'll build AI agents that conduct full analyses autonomously - forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You'll make the entire data warehouse AI-readable so any system can query it accurately. You'll create self-healing pipelines that detect and fix data issues before anyone notices. You'll build the infrastructure that turns a small data team into one that operates at 10x its size. You'll join a data team that's already using AI across its workflows - but we know there's a much bigger opportunity ahead. We have buy-in from leadership to make it happen. Now we're building a team dedicated to taking what we've started and turning it into something world-class: scalable systems, new tools, and an AI-native way of working that doesn't just