Strong Compute jobs

Senior Data Scientist, Revenue Analytics Remote, US About Extend: Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits. Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco. About the Role: The Revenue Analytics team is focused on developing strategic recommendations grounded in data to scale, drive, and recover revenue. We are experts at synthesizing different contexts from Sales, Growth, Product, Engineering, and Risk to identify growth and expansion opportunities that directly drive the company's bottom line. If you have a passion for breaking down complexity and ambiguity into quantifiable impact, you'll thrive on our team. What You Will Be Doing: Cross-functional Champion: Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations. Revenue Optimization: Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall. Data-driven Insights: Lead the charge in improving

Assistant Manager(03104) - 140 Strongs Ave Rutland, VT, United States Company Description: Job Description: Assistant Manager Are you ready to be part of the action? Immediate Openings At Domino's Pizza, we're searching for top candidates who are adaptable, self-motivated, and have a passion for customer service. Learn and sharpen your business skills as a Manager for Domino's Pizza by staffing your store, managing costs, and developing your team members, all in a fun and energetic environment! Minimum Age 18 years old We Require · Valid Driver's License · Proof of Liability Insurance · Reliable vehicle · Positive Attitude · Self-Motivated · Customer Service Oriented · Willingness to Learn and Excel · Smiling Face What to Expect · Manage the daily operations of the store · Take phone orders · Use computer · Greet & visit with customers · Help team as needed · Take inventory · Assign task · Manage Costs · Coach team members Job Benefits · Flexible Schedules · Competitive Wages · Paid Training · Career Advancement Opportunities · Meal Discounts Qualifications: Additional Information: All your information will be kept confidential according to EEO guidelines.

Pricing Specialist (Bilingual English/Korean) Coppell, TX Responsibilities Sourcing Motor Carriers Gathering all pricing data Strategically coordinating sales activity Reporting pricing progress on a daily and weekly basis Reporting customer pricing status weekly. Reporting monthly performance Identifying and monitoring customer issues or complaints at individual load and overall account levels Regularly attending customer meetings to gather information Developing and maintaining strong relationships with clients and identifying new business opportunities Handling all incoming calls in a timely, professional, and courteous manner Qualifications Outstanding attention to detail. Strong verbal and written communication skills. Ability to multitask, work within time constraints, and perform under pressure. Advanced computer skills with proficiency in Microsoft Office. Available to work overtime during peak periods. Fluent in Korean and English (or Chinese). Benefits (Full-Time ONLY) Health, Dental, and Vision PPO Insurance Life, STD, LTD Insurance 401(K) Plan 14 Paid Holidays Paid Time Off (Starting 12 days/year) Additional Paid time off (Bereavement, Wedding, Birth of a Child, etc.) Years of Service Awards Education program (Based on Eligibility)

AI Data Engineer Baltimore, MD posted: Posted 14 Days Ago

Principal AI and Data Security Architect Bangalore, India posted: Posted 9 Days Ago

Machine Learning Scientist I/II, Scientific Reasoning Cambridge, MA USA Your Impact at LILA As a Machine Learning Scientist focused on Scientific Reasoning, you will help pioneer the next generation of AI systems capable of reasoning like a scientist. You'll design novel frameworks that push the boundaries of LLM-based reasoning methods - while also implementing scalable frameworks that integrate with Lila's platforms. This role bridges deep theoretical thinking with practical ML engineering, enabling breakthroughs in how scientific hypotheses are generated, tested, deployed and optimized. What You'll Be Building - Design and formalize frameworks for scientific reasoning with LLMs , including structured prompting, reasoning chains, and test-time compute. - Explore and implement methods for in-context learning, self-reflection, and adaptive reasoning in scientific discovery workflows. - Build scalable model prototypes that can be deployed to solve frontier scientific problems. - Collaborate with scientists and engineers to encode domain knowledge into reasoning systems that integrate symbolic and statistical approaches. What You'll Need to Succeed - PhD (preferred) or equivalent research/industry experience in Computer Science, Machine Learning, AI, Engineering, Materials Science or related fields. - Strong programming skills in Python with deep expertise in LLM frameworks (PyTorch, HuggingFace Transformers, LangChain, LlamaIndex , and related toolkits). - Expertise in LLM reasoning methods : in-context learning, test-time compute, chain-of-thought, or tool-augmented reasoning. - Ability to balance theoretical research with practical ML engineering to deliver scalable solutions. Bonus Points For - Research experience in causal reasoning, symbolic AI, or probabilistic programming . - Contributions to open-source LLM reasoning

Sr. Hardware Design Engineer - x86 / GPU / HPC (27752) US - HQ (US001) | Country United States | State California | City San Jose Job Req ID: 27752 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: As a global leader in networking solution innovation, Super Micro Computer's mission is to develop and provide the market with end-to end computing solution and high performance networking products. We have an immediate need for a Sr. Hardware Design Engineer to join our talented and bright design team. The candidate will play a key role in the development process of in-house server motherboards, by working collaboratively with cross-functional engineering team as well as outside partners to ensure the robust design of the boards. The candidate must be self-motivated and possess a strong will to do great things, with a result-driven mindset to develop the most competitive and endurance board products. Essential Duties and Responsibilities: Lead schematic capture, layout review, BOM generation, debugging, and testing for server motherboards, add-on cards, and backplane products. Collaborate close

Data Center Cluster Operations Leader, AWS Data Centers Jeffersonville, Ohio, USA The Cluster Operations Leader manages Amazon Data Center Clusters and Colocation Operations within their assigned region. As the senior Infrastructure Operations leader, they oversee safety, security, availability, scaling, efficiency, and cost management. Infrastructure Operations consists of two core functions: Data Center Operations (DCO) and Data Center Engineering Operations (DCEO). DCO manages server-level platforms supporting Amazon Retail and Amazon Web Services, while DCEO handles mechanical, electrical, and controls systems for critical environments. We seek a leader with experience on both DCO and DCEO systems. Though operating independently, a physical security team works closely with these functions to protect people, assets, and customer data. The Cluster Operations Leader builds and leads high-performing teams across these functions. They manage daily operations while applying technical expertise to address emerging challenges. Their role requires both strategic oversight and the ability to dive deep into specific issues. As a vital member of the management team, the Cluster Operations Leader helps scale the world's largest cloud computing infrastructure. The position demands innovation to solve complex daily challenges and drive operational excellence. Success in this role requires strong technical knowledge on both engineering (electrical and mechanical) and compute systems, process optimization skills, and dedication to achieving world-class operational performance. Key job responsibilities - Hire, manage, and develop the operations team, including compute and engineering operations managers, and their teams - Achieve organizational performance goals for safety, security, availability, scaling, efficiency, and cost - Plan and execute Infrastructure

Senior Data Scientist, Predict New York City Alloy is where you belong! Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 800 of the world's largest financial institutions and fintechs turn to Alloy to take control of fraud, credit, and compliance risk, and grow with the clearest picture of their customers. Through our values: Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences, we are creating a workplace where you can grow, thrive, and belong. See how we've been continuously recognized and named one of Inc. Magazine's Best Workplaces , Forbes America's Best Startup Employers , Best Fintech to Work for by American Banker , year after year. Check out our investors and read more about us here . About the team The Predict team builds Alloy's real-time machine learning systems at scale. Our immediate focus is on fraud detection, where we believe machine learning can simplify and accelerate decision-making in ways traditional rule-based systems can't. Managing rules and policies to detect fraud is complex and constantly evolving; we use ML to make it smarter, faster, and more adaptive. Our approach is identity-centric, combining signals from a wide range of data sources to build a comprehensive understanding of risk. You will work on advancing our core models while also partnering directly with customers to drive strong outcomes from fraud studies. Alloy operates in a hybrid work environment. We look to foster

Silicon Validation Software Engineer: CPU and Memory Hierarchy Austin, United States of America Would you like to work on SW that runs on every Apple phone, pad, and Mac computer in the world? Join our team of experienced SW engineers and debuggers in validating Apple's world class silicon. In this highly visible role you will be writing functional validation SW for the CPUs, caches, and memory subsystem of our SoCs, with the aim of identifying logic design and circuit bugs. You will be a SW developer for a system validation tool used widely across Apple's Silicon Engineering group, and will collaborate with SoC design and product engineering teams to debug and drive silicon issues to root-cause. Validate CPU cores, cache coherency, and memory hierarchy behavior on post-silicon platforms. Develop targeted stress tests to expose incorrect behavior under varying operating conditions(voltage, frequency, and temperature). Partner with design and architecture teams to correlate silicon behavior with intended micro architectural design. Catch incorrect silicon behavior and issues before product release. Identify sensitivity to PVT shifts, including incorrect behaviors and intermittent failures. Collect and analyze silicon data (logs, counters, traces) to understand system behavior across operating conditions. Provide actionable feedback to PVT and other teams to refine operating limits Minimum Qualifications: BS in Computer Science, Electrical Engineering, Computer Engineering, or related field with a minimum of 3 years relevant industry experience. Experience in post-silicon validation, PVT, system bring-up, or silicon debug. Preferred Qualifications: Strong understanding of CPU microarchitecture, cache coherency, and memory hierarchy. Knowledge

Software Engineer, Compute - Storage San Francisco, California, United States, New York City About the Team The Storage Infrastructure team builds and operates the storage foundation behind OpenAI's most demanding workloads. We work directly with research to design storage systems for rapidly evolving experiments, while also powering production at scale. We own the platform end to end: backend systems, user-facing services and APIs, and the control planes that manage how data is placed, moved, and retained over time. Our stack spans cloud and in-house object stores across very different workload profiles, from GPU-attached systems to dedicated storage hardware. We also build the federation layer that unifies these backends behind a simple interface and routes each workload to the right storage solution. About the Role You will help build the storage platform that powers OpenAI's research and production systems. This is a hands-on infrastructure role for engineers who want to work on deeply technical systems at scale and own them in production. You'll work across object storage, cross-region data movement, lifecycle management, and the federation layer that provides a unified interface across multiple backends. Much of our stack runs on Kubernetes, and we primarily build services in Rust. In this role, you will: - Build and operate storage services that underpin OpenAI's research infrastructure - Develop object storage systems across cloud and in-house environments - Build systems for cross-region data movement, replication, and recovery - Design lifecycle management capabilities that keep data durable, available, and cost-effective - Evolve the federation layer

Pre-Sales Solutions Engineer - Commercial NYC New York, New York, US The application window is expected to close on: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Position Overview: We are seeking a highly skilled Solutions Engineer with a minimum of 3-5 years of experience, preferably in a customer-facing sales engineering role, to join our Commercial team in New York City. The ideal candidate will have a strong technical background in campus network design, including switching, wireless, and routing, and will be responsible for selling a broad portfolio including security, data center networking, compute, and collaboration solutions. Curio Key Responsibilities: Serve as a trusted technical advisor and subject matter expert to customers and partners. Design and present comprehensive solutions that address customer business needs and technical requirements. Collaborate closely with sales teams to drive technical sales opportunities to closure. Provide expertise in campus network design, including switching, wireless, and routing technologies. Support sales efforts across security, data center networking, compute, and collaboration product lines. Engage with partners to enhance solution delivery and customer success. Maintain up-to-date knowledge of Cisco technologies and competitive landscape. Required Qualifications: 3+ years of experience in a customer-facing sales engineering or technical pre-sales role. Understanding or background in campus network design, including switching, wireless, and routing. Experience selling or supporting security, data center networking, compute, and/or collaboration solutions. Ability to translate complex technical concepts into business value. Preferred Qualifications: Cisco CCNP Enterprise (CCNP

Senior Deep Learning Compiler Engineer 6 Locations posted: Posted 30+ Days Ago

Machine Learning Engineer Seattle (WA) posted:

Manufacturing Engineer Boston, MA, USA Manufacturing Engineer QuEra is seeking a hands-on, detail-oriented Manufacturing Engineer to join our growing team building next-generation neutral atom quantum computers. This person will work collaboratively to support the development and production release of components and assemblies used to build QuEra's neutral atom quantum computers. This role is ideal for someone who thrives in fast-paced product development environments, enjoys building scalable manufacturing processes and systems, and has strong experience supporting New Product Introduction (NPI) and contract manufacturing partners. The Manufacturing Engineer will play a key role in developing manufacturing documentation, product structures, assembly and test procedures, and ensuring smooth technology transfer into production. This person will also own and maintain the manufacturing release process and associated documentation systems used to communicate with suppliers and contract manufacturers. Key Responsibilities - Develop and maintain product structures, including multi-level Bills of Materials (BOMs) for electro-mechanical and opto-mechanical assemblies - Create, document, and release manufacturing assembly procedures, work instructions, and test procedures - Create and maintain documentation packages used by manufacturing partners, and ensure that suppliers have the current released documentation packages - Support New Product Introduction (NPI) activities from prototype through production ramp - Contribute to design for manufacturing/assembly (DFM/DFA) reviews - Lead or support technology transfer activities to contract manufacturing (CM) partners - Collaborate closely with design engineering, supply chain and manufacturing partners to ensure manufacturability and smooth product release - Manage engineering change orders (ECOs) and documentation release processes - Coordinate builds at external manufacturing sites

Machine Learning Engineer, User & Content Intelligence Seattle, United States of America Imagine shaping how millions of people discover content they love on the App Store, Apple Music, and Apple TV+. Our team is responsible for the intelligence that powers these deeply personal experiences. We are at a pivotal moment, defining the next generation of personalization. We build the foundational capabilities that empower product and research teams to deliver hyper-personalized experiences while maintaining an uncompromising commitment to user privacy. We believe that deep personalization shouldn't require compromising user trust, and we are pioneering the decentralized data systems to prove it. This is not a standard Data Engineering or ML role. We are looking for a pioneering engineer to join our team. You will build the systems that securely process, combine, and deliver the critical user and content features needed for personalization, spanning from edge devices to cloud backends. You will engineer high-performance stacks that transform raw data into governed, discoverable intelligence, ensuring that machine learning models can seamlessly and securely access the right user and content features regardless of where that data physically resides. Architect Distributed Feature Access: Design and build the access layer that abstracts the physical location of data. Ensure that inference systems can seamlessly access real-time on-device context, cloud-based service history, and content metadata through a unified, familiar API. Engineer Large-Scale Feature Pipelines: Build robust, petabyte-scale pipelines that ingest and combine disparate data into coherent user profiles and rich content representations. Architect Training Data Systems: Transform raw

Sr. Principal Scientist, Amazon Health Science & Analytics Santa Clara, California, USA We are looking for a senior AI/ML researcher who can architect and guide a long-horizon ML strategy for a healthcare-focused organization building a durable, domain-specific healthcare foundation model and a high-reliability inference system. This person will define the technical vision for how our organization should leverage frontier models, when and how to build proprietary domain models, and how to sequence capability development into monetizable, customer-facing features while working high quality, safety, and regulatory constraints expected within healthcare. This individual will serve as a senior technical advisor on frontier-model integration, data strategy, evaluation and safety architecture. They will partner closely across product, engineering, clinical, and compliance teams to ensure that the AI system is safe, reliable, economically viable, and capable of compounding differentiation over time. The ideal candidate brings deep hands-on experience training or adapting large-scale models (LLMs, multimodal, or MoE systems), with strong grounding in distributed training, RLHF/DPO, retrieval and knowledge integration, evaluation harness design, and ML systems engineering. Demonstrated experience shipping ML capabilities in high-stakes or regulated domains-healthcare, autonomy, finance, or large enterprise platforms-is highly valuable, as is familiarity with clinical data, workflow constraints, or ISO-aligned or internationally acknowledged safety practices and standards. This hire must combine research depth, pragmatic product sense, and systems leadership to build a capability that endures for many years. Basic Qualifications: - MS/PhD in computer vision, machine learning, computer science, or related quantitative and computationally intensive disciplines. - Proven track record in

Network Modeling and Simulation Researcher (Security Clearance Required) Aberdeen, MD ICF is actively recruiting for a cleared Network Modeling and Simulation Researcher specializing in High Performance Computing (HPC) to be part of a talented, technical, and dynamic team based on-site in Aberdeen, MD. Our team excels in the delivery of technical competency and capabilities in complex HPC computing environments. The essential role will have a strong background in virtualization, tactical network modeling and simulation/emulation within high-speed networks using Extendable Mobile Ad Hoc Network Emulator (EMANE). Key Responsibilities: Research experimental methods to model existing tactical and future high-speed networks using EMANE or NS3. Utilize EMANE to provide Artificial Intelligence/Machine Learning (AI/ML) capabilities as a service to support experimentation. Experience building, scaling, and deploying applications within customized containers (Kubernetes, Docker) Develop methods to incorporate physical layer effects into EMANE experiments to increase fidelity of tactical network emulations. Provide quality customer service to include leading meetings and administering demonstrations of current research and project status. Required Qualifications / Skills: BS degree in Engineering, Physical Science, Computer Science, Information Science, or Mathematics. Six years of research or technical experience in a scientific or technical field relevant to requirements. Three (3) years of directly related technical experience in support of the required task specific project. A minimum of 2 years of experience with EMANE or NS3 is required. Position requires a minimum of 2 years of experience with containerized application deployment using Kubernetes and Docker. Must have hands-on demonstrated experience using JIRA to create customized

AI Research Engineer, FAIR Chemistry Menlo Park, CA; San Francisco, CA Meta is seeking a researcher to join the Fundamental AI Research (FAIR) Chemistry team, a research organization focused on advancing the state-of-the-art in AI. In this role, you'll work with world-class researchers at FAIR on fundamental and exploratory research. Our current projects include new datasets, models, and capabilities to accelerate chemistry and materials science. Our organization is motivated by producing new science to understand intelligence and technology towards achieving advanced machine intelligence. In this specific role, you will develop and enhance capabilities for modeling complex battery and electrolyte chemistries. Responsibilities: - Provide technical leadership for a scientific direction in AI for science. - Perform research that advances the state-of-the-art in AI for chemistry and materials science. - Work closely with internal and external partners to realize impact of methods advances. - Work towards long-term goals, while identifying intermediate milestones. - Influence progress of relevant research communities by producing publications. - Open source high quality code and produce reproducible research. - Enhance the capabilities of FAIR chemistry models in complex chemical environments like electrolytes or strong applied fields. Minimum qualifications: - First-authored or last-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, and other similar venues, or domain scientific journals - Master's Degree or PhD in AI, computer science, data science, science/engineering, or related technical fields - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - Research background in machine learning, artificial intelligence,

Machine Learning Engineer Burnaby, British Columbia, Canada Burnaby, British Columbia, Canada

AI Engineer - AI, Data & Platforms Gurugram

Senior Software Engineer, AI Speed Infrastructure 2 Locations posted: Posted Yesterday

Embedded Software Engineer , EFA Annapurna Tel Aviv-Yafo, Tel Aviv, ISR Annapurna Labs, a key division within Amazon, seeks a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally. Cutting-Edge Technology: Work on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions at the intersection of hardware and software. Growth & Innovation: Benefit from AWS's resources, mentorship programs, and opportunities to publish technical content. Apply Now: Join a team that defines the future of cloud computing through embedded innovation. About the team Impact at Scale: Your work will power AWS's most advanced services, serving millions of customers. Basic Qualifications: - Bachelor's degree in Computer Science or a related field - 5+ years of professional experience in embedded software development, with strong proficiency in C/C++ - Hands-on experience developing firmware, device drivers, or user-space applications for embedded systems, including low-level hardware interaction Preferred Qualifications: - Knowledge of network design, protocols and troubleshooting - Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams - Experience with AWS or cloud technologies - Knowledge of hardware/software co-design. - Familiarity with storage protocols Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for

Quantum Research Engineer, Quantum Computing Pasadena, California, USA The Amazon Center for Quantum Computing (CQC) team is looking for a passionate, talented, and inventive Research Engineer specializing in hardware design for cryogenic environments. The ideal candidate should have expertise in 3D CAD (SolidWorks), thermal and structural FEA (Ansys/COMSOL), hardware design for cryogenic applications, design for manufacturing, and mechanical engineering principles. The candidate must have demonstrated experience driving designs through full product development cycles (requirements, conceptual design, detailed design, manufacturing, integration, and testing). Candidates must also have a strong background in both cryogenic mechanical engineering theory and implementation. Working effectively within a cross-functional team environment is critical. Key job responsibilities The CQC collaborates across teams and projects to offer state-of-the-art, cost-effective solutions for scaling the signal delivery to quantum processor systems at cryogenic temperatures. Equally important is the ability to scale the thermal performance and improve EMI mitigation of the cryogenic environment. You will work on the following: - High density novel packaging solutions for quantum processor units - Cryogenic mechanical design for novel cryogenic signal conditioning sub-assemblies - Cryogenic mechanical design for signal delivery systems - Simulation-driven designs (shielding, filtering, etc.) to reduce sources of EMI within the qubit environment. - Own end-to-end product development through requirements, design reports, design reviews, assembly/testing documentation, and final delivery A day in the life As you design and implement cryogenic hardware solutions, from requirements definition to deployment, you will also: - Participate in requirements, design, and test reviews and communicate with internal stakeholders