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Experience Level
Entry Level
Qualifications
Candidates should possess a strong background in data engineering, with proficiency in programming languages such as Python or Java. Experience with data warehousing solutions and ETL processes is essential. A Bachelor's degree in Computer Science, Data Science, or a related field is preferred.
About the job
xai seeks a Data Engineer based in Palo Alto, CA. The position centers on building and refining data infrastructure to align with company objectives. Collaboration with teams throughout the organization is a key part of this role.
What you will do
Design and develop data solutions that inform business decisions
Collaborate with cross-functional teams to create and enhance data systems
Contribute to shaping data processes that support company results
About xai
xai is a leading technology company focused on providing innovative solutions through data-driven insights. Our mission is to empower organizations with the tools they need to harness the power of their data.
Full-time|$175K/yr - $215K/yr|Hybrid|Palo Alto, CA
Mudflap is revolutionizing the $800 billion trucking industry, which serves as a vital pillar of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on their primary operational cost: fuel. Additionally, we connect our network of fuel stop partners with new, hard-to-reach clients. As a rapidly expanding marketplace, we a…
Full-time|$190K/yr - $225K/yr|Hybrid|Palo Alto, CA
Mudflap is revolutionizing the $800 billion trucking industry, a crucial component of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on fuel, their largest operational cost, while simultaneously offering our fuel stop partners access to a new and hard-to-reach clientele. As a rapidly expanding marketplace, we are seeking a passionate and customer-focused individual to join our dynamic team on this exciting journey.About the RoleAt Mudflap, we are developing a robust data-driven engine that will inform decisions across all facets of our organization. We are in search of experienced Senior and Staff Data Scientists to join our small yet highly impactful analytics and machine learning team. In this role, you will collaborate closely with product, engineering, operations, and cross-functional partners to create data products, develop machine learning models, conduct experiments, and provide insights that will directly drive our growth and product strategy.Work Location: This position is based in Palo Alto, CA and offers a hybrid work model, blending in-office teamwork with remote flexibility.To support our team, we provide:Commuter benefits to facilitate your travelLunches and snacks to keep you energizedA collaborative, high-growth environment where you will work alongside talented colleagues from various departmentsWe are hiring for three primary domains—Product, Risk, and Growth—allowing you to apply your expertise where your passion lies:What You’ll DoProduct:Influence strategic product decisions through advanced analytics and experimentation. Design and conduct A/B tests, create predictive models, and derive data-driven insights that will significantly impact product roadmaps and business outcomes. Collaborate closely with product managers, engineers, and leadership to uncover opportunities, assess feature success, and enhance user experiences.Risk:Assess, model, and mitigate credit and fraud risks within our platform. Enhance our credit risk underwriting capabilities, and develop predictive models aimed at minimizing fraud losses. Work alongside Product, engineering, and operations teams to implement scalable risk management strategies.Growth:Generate strategic growth insights through sophisticated data architecture and advanced analytics. Lead the design and implementation of growth-focused initiatives that drive business expansion.
Full-time|$194K/yr - $215K/yr|On-site|Palo Alto, CA
Mudflap is revolutionizing the $800 billion trucking industry, one of the most critical yet often overlooked sectors in the nation. We are dedicated to creating solutions that address the genuine challenges faced by small business owners who are the backbone of America’s transportation network. Our design philosophy is straightforward: rather than forcing users to adapt to our products, we craft solutions that seamlessly integrate into their workflows.As a Senior Product Designer at Mudflap, you will be at the forefront of designing mobile experiences that tackle real issues for an underserved community, significantly enhancing the everyday lives of small business operators. You will collaborate within a dynamic, agile team where designers play a pivotal role in shaping product direction, clarifying complex processes, and creating user-friendly experiences for both iOS and Android platforms.You will take ownership of the complete design process, from initial research to final execution, utilizing cutting-edge AI tools, collaborating closely with Product and Engineering teams, and expanding your influence in a fast-paced environment.If you are driven by the desire to solve meaningful problems and want to design products that genuinely make a difference, we invite you to apply for this exciting opportunity.
Full-time|$215K/yr - $240K/yr|On-site|Palo Alto, CA
Mudflap is revolutionizing the $800 billion trucking industry, a vital yet often neglected sector in our economy. We are dedicated to creating innovative products that address genuine challenges faced by small business owners who are the backbone of America’s logistics.Our design philosophy centers around user adaptability; we create solutions that fit seamlessly into the lives of our users rather than expecting them to adjust to our products.In the role of Staff Product Designer, you will spearhead significant mobile and web projects, harmonizing strategic vision with hands-on design execution. Collaborating closely with our Head of Product (co-founder) and the executive team, you will influence product strategy, tackle intricate challenges, and craft intuitive experiences that enhance the lives of small business operators.If you seek a position with ownership, strategic influence, and the opportunity to develop user-centric solutions for an underserved industry, we invite you to apply.
Full-time|$137K/yr - $185K/yr|Hybrid|Palo Alto, CA
Mudflap is revolutionizing the $800 billion trucking industry, which forms the backbone of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on fuel costs, their largest operating expenditure, while connecting our fuel stop partners with a diverse range of previously inaccessible customers. We are a dynamic and rapidly expanding marketplace looking for a passionate, customer-focused team member to join us on this exciting journey.As the Senior Strategic Operations Manager, you will play a pivotal role in ensuring the efficiency of Mudflap’s operations while delivering exceptional customer experiences. You will formulate strategies for future product offerings and serve as a cross-functional leader, guiding various teams and projects within the organization. This role requires a versatile operations generalist who can conduct thorough analyses to generate business insights, enhance non-product functions, and spearhead new product initiatives and growth strategies.
Full-time|$215K/yr - $270K/yr|On-site|Palo Alto, CA
Senior Engineering ManagerJoin Mudflap as we revolutionize the $800 billion trucking industry, a vital component of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on their primary business expense—fuel. We connect our fuel stop partners with new customer bases, enhancing visibility and access. As a rapidly growing marketplace, we seek top-tier Engineering Managers to lead and expand our product engineering teams, contributing to the evolution of our consumer-centric fintech platform.About the RoleIn the capacity of Senior Engineering Manager, you will oversee a talented team of 5 or more engineers dedicated to the development of consumer-focused fintech and marketplace products. You will closely collaborate with product, data, and engineering leadership to drive success. This role demands a blend of hands-on technical proficiency and leadership experience, with a proven track record of scaling engineering teams in both startups and larger tech environments. You'll play an essential role in cultivating our engineering culture, mentoring your team, and delivering high-quality software that shapes the future of trucking payments.Leveling & Team PlacementWe are open to considering candidates for either the Engineering Manager or Senior Engineering Manager position, contingent on experience and team alignment.What You’ll Do:Engineering Manager / Sr. Engineering Manager, Payments Infrastructure & BillingLead the Payments Infrastructure & Billing teams, overseeing payment methods, customer charges, refunds, credits, statements, and precise financial reporting.Collaborate closely with product and finance to design and refine robust systems and data models that accurately reflect all financial transactions in our ledger.Function as a player-coach for your engineering team, maintaining close engagement with technical details while fostering team growth and support.Adopt an end-to-end systems perspective on back-office workflows, enhancing our payment and accounts receivable capabilities as the business scales.
Full-time|$195K/yr - $215K/yr|On-site|Palo Alto, CA
Mudflap is revolutionizing the $800 billion trucking industry, a vital component of the U.S. economy. Our cutting-edge payment solutions empower truck drivers to save significantly on fuel costs—their most substantial business expense—while enabling our fuel stop partners to connect with new, previously unreachable customers. Join our dynamic and rapidly expanding marketplace as we welcome a passionate team member focused on customer satisfaction.As a Senior Product Manager, Growth, you will spearhead initiatives aimed at driving growth by overseeing crucial aspects of onboarding, activation, engagement, and monetization. You will lead experiments, define strategic roadmaps, and collaborate across departments including Engineering, Design, Data, Marketing, and Operations to create impactful product experiences. This role blends strategic insight with hands-on execution, all informed by direct customer feedback from the owner-operators and small fleets we support, and enhanced by a data-driven, AI-focused approach to product innovation.Key Responsibilities:Manage essential growth components within Mudflap’s app and card products, with an emphasis on onboarding, activation, engagement, and monetization.Identify and prioritize growth avenues through detailed funnel analysis, customer insights, and product intuition.Lead swift experimentation cycles (A/B testing, feature iterations, onboarding enhancements) with defined hypotheses and measurable success indicators.Create and implement a growth initiative roadmap, balancing new opportunities with enhancements to current customer experiences.Work closely with Engineering and Design to produce intuitive and trustworthy product experiences.Collaborate across functions with Data, Marketing, Operations, and Customer Support to execute cohesive end-to-end growth strategies.Engage directly with truck drivers and fleet operators to gain insights into their workflows, challenges, and motivations affecting product adoption.Establish, monitor, and communicate key growth metrics, utilizing data and results from experimentation to inform product direction.Utilize AI technologies to expedite product discovery, experimentation, and development, while identifying opportunities to integrate AI into Mudflap's offerings.
Join Grindr, the world's preeminent LGBTQ+ social app, as a Senior Data Scientist. This hybrid role is based in our Bay Area or Chicago offices, requiring in-office attendance on Tuesdays and Thursdays.As a Senior Data Scientist, you will collaborate with product managers, designers, and engineers to establish meaningful metrics, design and evaluate experiments, and derive insights that will guide product development. You will play a critical role in shaping data products and experimentation, focusing on enhancing user experience.You will be a key member of Grindr’s centralized Data organization, which fosters collaboration among data scientists, data engineers, and ML/AI engineers. This position offers an exciting opportunity to amplify your impact while learning from experts across various disciplines.
Grindr connects millions of LGBTQ+ people worldwide through an AI-driven platform. With over 15 million monthly users and more than 130 billion messages exchanged each year, the company’s team of fewer than 200 faces technical challenges at a truly global scale. The Data organization brings together data scientists, data engineers, and ML/AI engineers in a collaborative environment, where sharing knowledge and supporting each other's growth is part of daily work. Role overview The Senior Data Scientist role focuses on Ecosystem Health. This position collaborates closely with product managers, designers, and engineers to shape product metrics, design and analyze experiments, and uncover insights that guide product direction. The work aims to improve user retention by building a safer and more authentic community, proactively preventing harm, strengthening identity trust, and empowering users to manage their safety experiences. The team also adapts to evolving regulatory requirements as needed. This role sits at the intersection of AI/ML, fraud prevention, risk management, and trust & safety. Strategies and innovations developed here help ensure authenticity, reduce harmful behaviors, and build user confidence across Grindr’s global user base. Grindr values technical skill and curiosity, especially for those interested in developing their product sense and analytical leadership. This position offers the chance to expand influence and learn from colleagues with diverse backgrounds. How the team works Grindr’s "Grindr Mode" philosophy means working hard while prioritizing well-being. The company values results over raw output, and the team supports each other in maintaining high standards along with a healthy work-life balance. What you will do Define and monitor key product metrics in partnership with cross-functional teams. Design, execute, and analyze A/B tests to measure the impact of new features. Conduct deep data analyses to identify trends and generate actionable insights. Communicate findings clearly to stakeholders and help shape product strategies. Build dashboards and tools that enable teams to track metrics and make informed decisions. Contribute to best practices and knowledge sharing within the Data Science team. Location This position is based in Palo Alto.
Full-time|$250K/yr - $250K/yr|On-site|Palo Alto, CA
Our MissionAt Whop, we are dedicated to providing everyone with a sustainable income. Currently, we empower millions across the globe, exemplifying the transformative nature of today's workforce, especially for the youth.About the RoleWe are in search of talented Data Scientists to play a pivotal role in shaping our decision-making framework. You will be responsible for managing the data infrastructure that informs our understanding of growth, product efficiency, marketplace trends, and overall financial and operational health. Collaborating closely with teams in product, growth, finance, and leadership, you will address critical questions that guide our strategic investments, identify successes and challenges, and accelerate our scaling efforts.Key ResponsibilitiesTransform complex product, marketplace, and financial data into actionable insights.Develop dashboards and metrics that are integral to leadership and team decision-making.Identify key growth drivers, retention trends, funnel obstacles, marketplace quality indicators, and monetization prospects.Collaborate with product and engineering teams to establish metrics, enhance data collection processes, and assess product launches.Prepare performance reports suitable for board and executive review.Proactively identify anomalies, risks, and opportunities before they are raised by other teams.Required QualificationsProven experience in a data science, analytics, or strategic data role within a fast-paced technology company.Ability to convert ambiguous business inquiries into structured analyses, metrics, and actionable recommendations.Expertise in handling disorganized, incomplete, or rapidly evolving data.Strong judgment regarding product and business strategies; capable of distinguishing between intriguing and practical analyses.Excellent communication skills that bridge technical and non-technical teams.A proactive mindset: you take initiative to address significant challenges without waiting for explicit direction.Comfortable collaborating closely with founders, leadership, product, engineering, growth, and finance teams.Preferred QualificationsExperience in marketplace dynamics and financial modeling.
Full-time|$185K/yr - $250K/yr|Hybrid|Palo Alto, CA
Join Mudflap, a pioneering force in the $800 billion trucking industry, where our innovative payment solutions empower truckers to save significantly on fuel costs—their largest operational expense. We connect fuel stop partners with new customers, creating a vibrant marketplace that is rapidly expanding. We are actively seeking a customer-focused Senior Software Engineer to help us shape our exciting future.As a Senior Software Engineer specializing in Data Platforms, you will be instrumental in constructing a robust data infrastructure that ensures reliable and scalable data flow throughout Mudflap's systems. Your contributions will be vital in designing and managing the frameworks and services that facilitate efficient data ingestion, processing, and accessibility on a large scale.In this role, you will architect and develop high-performance platform systems that drive data ingestion, orchestrate pipelines, and manage large-scale processing. Your efforts will lay the groundwork for high-availability data systems that empower Mudflap's teams to operate with speed and confidence.This position is based in the Bay Area and offers a hybrid work model, allowing for a blend of in-office collaboration and remote work.
About Nightfall:Nightfall is an innovative, AI-driven platform specializing in unified data loss prevention and insider risk management. We secure sensitive data across various environments, including SaaS applications, Generative AI tools, email, and endpoint devices. Trusted by numerous clients, from AI pioneers to Fortune 10 banks, Nightfall empowers organizations to innovate safely, mitigating the risks associated with data loss and intellectual property exposure. Our intelligent platform automates data loss prevention, allowing security teams to focus on strategic initiatives by resolving security violations proactively and providing real-time training to users.Our endeavors are supported by top-tier venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, alongside cybersecurity leaders including Frederic Kerrest, Maynard Webb, Ryan Carlson, and Kevin Mandia.About the Role:We seek a highly skilled technical leader to join our expanding team at Nightfall. As the Lead AI/ML Data Scientist within the AI Engineering organization, you will be pivotal in developing ML/NLP models and Generative AI solutions that enhance our Data Loss Prevention (DLP) and security products. This role involves spearheading research and applying advanced machine learning techniques to address security challenges, while guiding ML and backend engineers in deploying systems into production. You will also be instrumental in shaping the future architecture of our AI platform.This position is hybrid, requiring three days in the office at our Palo Alto, California location, and represents a fantastic opportunity for those passionate about data science and machine learning engineering.
About MistralAt Mistral, we are dedicated to making artificial intelligence accessible to all, creating cutting-edge solutions that empower individuals and businesses alike. Our innovative models are developed collaboratively by engineers across the globe, fostering an inclusive and open environment.Our passionate team thrives on creativity and collaboration, believing in the transformative power of AI to reshape society. With our diverse talent spanning Europe, the USA, and Asia, we embrace a culture of low-ego teamwork and competitive spirit.At Mistral, we focus on developing advanced AI models for both enterprises and consumers, aiming to revolutionize business operations and enhance everyday life through open-source technology that everyone can leverage.Join Mistral and contribute to a pioneering organization at the forefront of AI innovation.Key Responsibilities* Innovate and develop advanced methodologies to elevate the capabilities of large language models.* Explore diverse use cases and modalities, including reasoning, code generation, and multimodal applications (text, image, speech).* Create robust tools and infrastructure to facilitate large-scale training, evaluation, and analysis of AI models.* Collaborate with interdisciplinary teams of scientists, engineers, and product developers to deliver impactful AI solutions.Qualifications* Proficient software engineer with expertise in at least one programming language (Python, Rust, Go, Java).* Practical experience with AI frameworks (e.g., PyTorch, JAX) and distributed systems (e.g., Ray, Kubernetes).* Strong engineering skills, capable of architecting complex software for production environments.* Self-motivated, autonomous, and a collaborative team player.Preferred Qualifications* Hands-on experience in training large transformer models in distributed settings.* Familiarity with the complete MLOps workflow, including fine-tuning, evaluation, and deployment.
About VoltaiVoltai is at the forefront of developing advanced world models and intelligent agents designed to learn, evaluate, plan, experiment, and interact with the physical environment. Our initial focus lies in understanding and innovating hardware, specifically in electronics systems and semiconductors, where artificial intelligence can surpass human cognitive capabilities.About Our TeamOur team is backed by prominent investors from Silicon Valley, Stanford University, and high-profile leaders from companies like Google, AMD, Broadcom, and Marvell. We comprise former Stanford faculty, researchers from SAIL, medalists from international Olympiads, and executives from leading tech firms, including Synopsys and GlobalFoundries, alongside notable figures from the U.S. government.Key ResponsibilitiesDevelop and optimize MPI+CUDA PDE solvers for electrostatics, charge transport, and electromagnetic field challenges on intricate 3D IC geometries utilizing multi-node GPU clusters.Enhance and extend AMG preconditioners, Krylov solvers, and mesh pipelines, ensuring performance and correctness at scale.Construct and train neural operators (FNO, DeepONet, GNO, and variants) as high-fidelity surrogates for PDE-based field solvers.Design simulation pipelines that yield training data for neural operator models, addressing sampling strategies, mesh management, and physical consistency checks.Conduct thorough validations, including analytical solutions, published benchmarks, and cross-validation between field solvers and learned surrogates.QualificationsPhD in Computational Physics, Applied Mathematics, Computational Engineering, or a closely related discipline.Extensive knowledge of numerical PDE methods: FEM, FVM, or BEM, including weak formulations, quadrature, convergence, and error analysis.Proficient in C++ and CUDA, with a focus on writing and optimizing kernels, memory hierarchy management, and multi-GPU programming.Experience with multi-node HPC: MPI, domain decomposition, collective communication, and scaling strategies.Deep understanding of sparse linear algebra, including Krylov methods, algebraic multigrid, and preconditioning techniques.Hands-on experience with neural operators (FNO, DeepONet, or similar), encompassing training, architecture design, and evaluation on PDE datasets.Solid grasp of AI applications in scientific research.
Role overview The Senior Product Manager - Risk Management at Mudflap plays a central role in shaping product strategy and refining risk assessment frameworks. Based in Palo Alto, CA, this position focuses on strengthening how Mudflap identifies and manages risk across its products and services. What you will do Identify and analyze risks tied to Mudflap’s products and services, working to reduce potential issues before they arise. Work closely with engineering, sales, and marketing teams to deliver solutions that fit customer needs. Guide the development of risk management products, ensuring they remain both effective and user-friendly. Share insights that help shape the direction and success of Mudflap’s product offerings. Collaboration and impact This position sits at the intersection of product, engineering, and go-to-market teams. Recommendations and decisions made here directly influence the reliability and quality of Mudflap’s risk management products, supporting the company’s growth and reputation.
Role overview xai seeks a Data Engineer based in Palo Alto, CA. The position centers on building and refining data infrastructure to align with company objectives. Collaboration with teams throughout the organization is a key part of this role. What you will do Design and develop data solutions that inform business decisions Collaborate with cross-functional teams to create and enhance data systems Contribute to shaping data processes that support company results
Full-time|$121.3K/yr - $159.5K/yr|On-site|Palo Alto, CA
About Arc Institute The Arc Institute is a pioneering scientific organization committed to conducting innovative, curiosity-driven research and technology development aimed at understanding and treating complex human diseases. Based in Palo Alto, California, Arc operates independently and collaborates closely with esteemed institutions such as Stanford University, UCSF, and UC Berkeley. While traditional university research models have achieved remarkable successes, we believe that new institutional frameworks are crucial for advancing science. Our key initiatives include: Funding: We offer comprehensive funding for Core Investigators’ (PIs’) research groups, freeing scientists from the limitations of conventional project-based external grants. Technology: The field of biomedical research relies heavily on advanced tools. Our Technology Centers focus on developing, optimizing, and implementing cutting-edge experimental and computational technologies in collaboration with Core Investigators. Support: Arc is dedicated to providing exceptional operational, financial, and scientific support, allowing scientists to engage in long-term, high-risk, high-reward research that could significantly advance cures for diseases such as neurodegeneration, cancer, and immune dysfunction. Culture: We prioritize fostering a culture that emphasizes scientific curiosity, a commitment to truth, ambitious goals, and collaborative teamwork. Arc has grown to over 350 team members with more than $650 million in committed funding and a state-of-the-art laboratory facility in Palo Alto. We are poised for rapid expansion in the coming years. About the Position We are on the lookout for a highly skilled and driven Scientist to join the Horns Lab at the Arc Institute. In this role, you will spearhead the creation of an innovative platform designed to map human antibody specificities on a large scale. You will be pivotal in developing, optimizing, and implementing a high-throughput system for the identification of antigen-specific B cells and their antibody sequences via single-cell sequencing, thereby enhancing our understanding of human immunity and aiding in the discovery of new antibodies.
Full-time|$175.5K/yr - $263.3K/yr|On-site|Palo Alto, CA
About the Team: The Information Technology team at Rubrik is pivotal in shaping business processes, enhancing employee experience, and leveraging technologies to scale our organization beyond $1 billion. This dedicated team drives operational efficiencies across the enterprise by centralizing the management of Infrastructure, Technology, and Data. The IT team guarantees all stages of the software development lifecycle occur within a secure environment while meticulously overseeing the implementation of essential processes and governance. They are not just champions of Rubrik but also serve as primary users of the Engineering teams' offerings. Rubrik Corp IT operates entirely on a Software as a Service (SaaS) model, with no on-premises solutions. The IT team accelerates the enhancement of business value and optimizes daily operations through a diverse portfolio of SaaS applications, including Salesforce.com, Oracle Netsuite, Workday, Snowflake, Etrade, Jitterbit, and Allocadia. Their commitment to delivering high-velocity business outcomes is backed by a 100% system uptime, supported by agile, streamlined, and cohesive cloud architectures. About the Role: Become a part of our Data Engineering and Analytics team at our Palo Alto headquarters, where you will design and implement the data infrastructure that supports our General and Administrative (G&A) business functions. In this impactful role, you will manage the entire lifecycle of data initiatives, transforming complex business requirements into scalable data models and delivering insightful analytics that guide critical decision-making. You will work closely with stakeholders across Go-To-Market (GTM) programs, Product Operations, Pricing, and Treasury, facilitating precise reporting, operational transparency, and strategic planning. Your contributions will directly aid directors and senior leaders within Sales and G&A, shaping revenue growth, strategy, and operational effectiveness through reliable, data-informed decisions. What You'll Do: Business Partnership & Delivery: Act as a data partner across GTM and G&A business functions, leading high-impact projects from analysis to successful completion. Requirements Discovery: Conduct in-depth engagement sessions with stakeholders to convert business queries into actionable technical roadmaps, ensuring data solutions effectively address core strategic challenges. Architectural Excellence: Design and refine scalable data pipelines and advanced dbt models in Snowflake. Develop a robust Semantic layer to standardize metric definitions and ensure alignment across diverse G&A data sources. Advanced Analytics & Visualization: Produce executive-level narratives using Tableau. Transform raw data into proactive analytical tools that enhance insight and decision-making.
Join our dynamic Digital Marketing Analytics team as a Digital Marketing Data Scientist, where you'll play a critical role in addressing complex business challenges through data science. This position allows you to engage in the full lifecycle of experimentation—ranging from data-driven hypothesis formulation to test design, analysis, and interpretation.Your insights will directly influence business optimizations across the customer journey, and you'll have the opportunity to innovate experimental methodologies to extract meaningful results.The ideal candidate will possess a robust technical background in statistics and predictive modeling, alongside significant experience in developing datasets for various data science initiatives. Exceptional communication skills and advanced analytical abilities are essential for success in this role.
Full-time|$130K/yr - $165K/yr|On-site|Palo Alto, California, United States
At PsiQuantum, our mission is to pioneer the development of the first practical quantum computers—machines that can unlock the transformative potential that the quantum field has promised for decades. Founded in 2016, we are singularly focused on creating and deploying million-qubit, fault-tolerant quantum systems.Quantum computers utilize the principles of quantum mechanics to tackle challenges that traditional supercomputers and AI systems cannot overcome. Their potential impact spans across various industries including energy, pharmaceuticals, finance, agriculture, transportation, and materials.Our innovative architecture is founded on silicon photonics, leveraging cutting-edge semiconductor manufacturing processes in partnership with leaders like GlobalFoundries. This approach allows us to utilize high-volume techniques that yield billions of chips for telecommunications and consumer electronics. Photonics provides inherent advantages for scalability: photons are unaffected by heat, immune to electromagnetic interference, and can seamlessly integrate with existing cryogenic cooling and standard fiber-optic systems.In 2024, PsiQuantum initiated government-funded projects to establish our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing acknowledgment that quantum computing will be a defining strategic and economic force, making it imperative to scale our efforts.Moreover, PsiQuantum is actively developing the algorithms and software necessary to ensure these systems are commercially viable. Our teams collaborate directly with top Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to tailor quantum solutions for tangible real-world applications.Quantum computing signifies a fundamental departure from classical computing, presenting a unique pathway to address challenges that no other technology can solve. The potential is vast, and we have a clear strategy to bring it to fruition.Join us to be part of this revolutionary journey!