Computational Scientist at Voltai | Palo Alto

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 co…

About VoltaiVoltai is at the forefront of technology, developing innovative world models and intelligent agents that learn, evaluate, plan, and interact with the physical world. Our journey begins with creating advanced hardware, focusing on electronic systems and semiconductors, where artificial intelligence transcends human cognitive limitations.About Our TeamOur team, supported by leading Silicon Valley investors and Stanford University, includes former Stanford professors, SAIL researchers, Olympiad medalists, and industry leaders from renowned companies such as Google, AMD, Broadcom, and Marvell. We are proud to have former high-ranking officials, including a US Secretary of Defense and Senior Advisors to multiple US presidents, among us.

About VoltaiVoltai is at the forefront of developing advanced world models and agents that enable learning, evaluation, planning, experimentation, and interaction with the physical environment. Our initial focus is on understanding and building hardware, specifically electronic systems and semiconductors, where artificial intelligence can design and create beyond the limits of human cognition.About the TeamSupported by some of Silicon Valley’s most prestigious investors, Stanford University, and prominent figures including CEOs and Presidents from Google, AMD, Broadcom, and Marvell, our team comprises former Stanford professors, SAIL researchers, Olympiad medalists, CTOs of Synopsys & GlobalFoundries, and advisors who have served under four US presidents.Key ResponsibilitiesLead and manage a team of engineers through agile sprint cycles and critical delivery milestones.Drive sprint planning and execution, from backlog refinement to sprint reviews and retrospectives.Prioritize engineering tasks based on business impact, technical debt, and resource limitations.Transform complex requirements from product and hardware teams into clear, actionable engineering tasks and user stories.Eliminate obstacles and enhance team efficiency through daily stand-ups, one-on-ones, and cross-team collaboration.Collaborate closely with product and design teams to maintain a balance between feature delivery and technical excellence.Monitor team performance through velocity tracking, sprint health assessments, and delivery metrics while fostering continuous improvement.

About VoltaiVoltai is at the forefront of developing sophisticated models and agents that enable learning, evaluation, planning, experimentation, and interaction with the physical world. Our initial focus is on understanding and constructing hardware, including electronic systems and semiconductors where artificial intelligence can surpass human cognitive capabilities.About the TeamSupported by premier Silicon Valley investors, Stanford University, and industry leaders such as CEOs and Presidents from Google, AMD, Broadcom, and Marvell, our team comprises former Stanford professors, SAIL researchers, Olympiad medalists, and top executives from Synopsys, GlobalFoundries, and Cadence, alongside distinguished former government officials.About this RoleAs a Firmware Engineer, you will be responsible for designing and implementing firmware that connects AI-driven hardware with physical devices. Your work will encompass system bring-up, control, and diagnostics, facilitating adaptive and self-optimizing behavior in real-time systems. Collaborate with electrical, systems, and verification engineers to create embedded software that powers intelligent machines.

About VoltaiAt Voltai, we are pioneering the development of world models and agents capable of learning, evaluating, planning, experimenting, and interacting with the physical world. Our journey begins with a focus on understanding and building advanced hardware, including electronic systems and semiconductors, where AI can design and create beyond human cognitive limits.About the TeamOur team is backed by some of Silicon Valley's leading investors, Stanford University, and notable figures such as CEOs and Presidents from Google, AMD, Broadcom, and Marvell. We are comprised of former Stanford professors, researchers from SAIL, Olympiad medalists, and experienced executives from top tech firms, including Synopsys, GlobalFoundries, and Cadence, along with former high-ranking government officials.About this RoleAs a System Architect, you will define the architecture for cutting-edge compute and hardware systems, integrating AI co-design, performance modeling, and cross-domain optimization. Your role will involve translating system-level requirements into cohesive architectures that effectively balance power, performance, and scalability while guiding implementation teams towards next-generation platforms.

Join Our Innovative Team at VoltaiAt Voltai, we are pioneering advancements in artificial intelligence and hardware integration. Our mission is to develop sophisticated world models and intelligent agents capable of learning, evaluating, planning, experimenting, and engaging with the physical universe. Our primary focus lies in creating advanced hardware, electronic systems, and semiconductors that leverage AI to exceed human cognitive capabilities.Our Exceptional TeamSupported by leading Silicon Valley investors, Stanford University, and prominent industry leaders, our team comprises former Stanford professors, SAIL researchers, Olympiad medalists, and seasoned executives from renowned companies like Google, AMD, Broadcom, and Cadence, along with experts in national security and foreign policy.Your Role as a System EngineerAs a System Engineer at Voltai, you will play a crucial role in defining, modeling, and integrating complex electromechanical and computational systems. Your responsibilities will include developing system requirements, interface definitions, and validation plans to ensure seamless integration between hardware, firmware, and AI-driven design pipelines. You will take ownership of the system-level architecture that bridges the gap between concept and production.

Join Voltai as a Full Stack EngineerAt Voltai, we are pioneering the development of world models and intelligent agents capable of learning, evaluating, planning, experimenting, and interacting with the physical world. Our initial focus is on advancing hardware technologies, including electronic systems and semiconductors, where artificial intelligence can design and innovate beyond traditional cognitive boundaries.About Our TeamSupported by leading Silicon Valley investors and esteemed affiliations with Stanford University, our team comprises former Stanford professors, distinguished SAIL researchers, Olympiad medalists, and industry leaders from Google, AMD, Broadcom, and more. Our diverse expertise includes contributions from former US government officials, ensuring a rich environment of innovation and strategic insight.Your RoleAs a Full Stack Engineer, you will play a crucial role in shaping our technology solutions by leveraging your software engineering skills to develop both frontend and backend applications, ultimately contributing to our mission of technological advancement.

About VoltaiVoltai is at the forefront of developing sophisticated world models and intelligent agents capable of learning, evaluating, planning, experimenting, and interacting with the physical environment. Our initial focus is on the realms of hardware development, electronics systems, and semiconductors where artificial intelligence can surpass human cognitive capabilities in design and creation.About the TeamSupported by leading investors from Silicon Valley, as well as Stanford University, our team includes distinguished individuals such as former Stanford professors, SAIL researchers, Olympiad medalists, and executives from industry giants like Google, AMD, Broadcom, and Cadence. Our diverse expertise encompasses technology, defense, and policy, with a mission to innovate and lead in the field of AI and hardware.About this RoleAs a Lab Automation Engineer, you will be responsible for designing, implementing, and managing the automation infrastructure that supports Voltai’s hardware validation laboratories. This role involves building systems that facilitate automated testing, characterization, and qualification of silicon and board-level designs by seamlessly integrating software, robotics, and data pipelines for ongoing validation and enhancement.

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.

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.

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.

Join us at Simular, where we are at the forefront of developing agentic AI technologies. We invite you to be part of a dynamic team dedicated to pioneering advancements in artificial intelligence that will shape the future of human-agent interactions.Your RoleAs a Research Scientist at Simular, you will:Lead groundbreaking research initiatives in planning, reinforcement learning, multimodal reasoning, grounding, and AI alignment, focusing on critical areas such as reward modeling and AI safety.Design and implement comprehensive experiments encompassing data collection, benchmarking, model training, and evaluation processes.Develop innovative methodologies that enhance AI agent capabilities and reliability, collaborating with top-tier scientists and engineers to achieve significant academic and product outcomes.Work closely with engineering teams to integrate research prototypes into practical applications.Contribute to the AI research community by publishing and presenting findings at prestigious conferences.Engage in hands-on scientific advancement through method design, dataset creation, experimental execution, and benchmarking against state-of-the-art standards.

About VoltaiVoltai is at the forefront of developing advanced world models and intelligent agents capable of learning, evaluating, planning, experimenting, and interacting with the physical environment. Our pioneering work begins with a deep understanding of hardware, focusing on electronic systems and semiconductors, where artificial intelligence transcends human cognitive capabilities to design and create.About Our TeamSupported by leading investors from Silicon Valley and esteemed institutions like Stanford University, our team is composed of distinguished professionals, including former Stanford professors, researchers from SAIL, Olympiad medalists, and executives from major corporations such as Google, AMD, Broadcom, and Marvell. Our diverse expertise also includes former high-level government officials and defense advisors.Role OverviewAs a Formal Verification Engineer, you will be responsible for creating formal proofs of design correctness through model checking, property verification, and equivalence analysis. You will work in close collaboration with RTL, verification, and machine learning research teams to develop hybrid formal engines that can reason about AI-generated hardware at scale. Your role will involve defining formal properties, automating assertion synthesis, and constructing systems that verify designs with unprecedented speed and accuracy.

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 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.

At PsiQuantum, we are on a groundbreaking journey to create the first practical quantum computers—machines that can unlock the transformative potential the field has long promised. Established in 2016, our mission has been singular: to design and deploy million-qubit, fault-tolerant quantum systems.Our quantum computers leverage the principles of quantum mechanics to tackle complex problems beyond the reach of even the most powerful supercomputers or AI systems. The implications of our work will extend across various sectors, including energy, pharmaceuticals, finance, agriculture, transportation, materials, and other critical industries.Our innovative architecture is rooted in silicon photonics, allowing us to utilize advanced semiconductor manufacturing processes—partnering with leaders like GlobalFoundries—to produce billions of chips for telecommunications and consumer electronics. Photonics offers distinct advantages for scaling, such as immunity to heat and electromagnetic interference, and compatibility with existing cryogenic cooling and fiber-optic systems.In 2024, PsiQuantum announced government-backed initiatives to facilitate the construction of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These projects signify a growing acknowledgment that quantum computing will play a pivotal role in shaping the future, making it essential to accelerate our scaling efforts.In addition to hardware, we are committed to developing the algorithms and software that will render these systems commercially viable. Our application, software, and industry teams collaborate closely with top Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to tailor quantum solutions for tangible real-world outcomes.Quantum computing represents not just an advancement of classical computing but a fundamental shift, paving the way for solving challenges that have remained insurmountable. The potential is vast, and we have a clear trajectory to realize it.We invite you to be part of this exciting journey!

At PsiQuantum, we are on a groundbreaking mission to realize the potential of quantum computing by constructing the first genuinely practical quantum computers. Our vision is to create a system that incorporates approximately 1 million qubits, engineered to support robust fault-tolerant error correction within a scalable architecture and a compact data center footprint. By leveraging the principles of quantum physics, we aim to achieve performance levels that vastly exceed those of today’s most advanced supercomputers, bringing transformative advancements across diverse sectors such as climate change, energy, healthcare, pharmaceuticals, finance, agriculture, transportation, and materials design. We have meticulously identified the fastest route to delivering a functional quantum computer, significantly ahead of our competitors. Our architecture utilizes silicon photonics, enabling us to produce components in leading semiconductor fabrication facilities like GlobalFoundries. This approach allows us to harness high-volume semiconductor manufacturing processes, the same that currently yield billions of chips for telecommunications and consumer electronics. Furthermore, we exploit the unique characteristics of photons, which are immune to heat and electromagnetic interference, to utilize existing cryogenic cooling systems and standard fiber connectivity. In 2024, we launched two government-supported initiatives aimed at establishing our inaugural Quantum Data Centers and utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These projects are backed by nations keenly aware of the transformative potential of quantum computing and the necessity to develop this technology at scale. Our commitment extends beyond hardware; we are also dedicated to creating fault-tolerant quantum applications that will drive industry-altering results. Quantum computing represents a profound leap forward, granting us the tools to shape our future rather than merely respond to it. The possibilities are immense, and we have a strategic plan to realize them. Join us on this extraordinary journey! If you don't see a current engineering opening that fits your expertise, feel free to submit your resume—we are eager to connect with talented individuals!

At PsiQuantum, we are on a mission to revolutionize computing by creating the world's first practical quantum computers. Founded in 2016, our primary objective is to build and implement million-qubit, fault-tolerant quantum systems that will transform industries.Quantum computers leverage the principles of quantum mechanics to tackle challenges beyond the capabilities of today's most advanced supercomputers and AI systems. The implications of this technology will extend across various sectors, including energy, pharmaceuticals, finance, agriculture, transportation, and materials.Our innovative architecture is rooted in silicon photonics. By capitalizing on the advanced semiconductor manufacturing landscape, including strategic partnerships with industry leaders like GlobalFoundries, we employ high-volume processes that are already producing billions of chips for telecommunications and consumer electronics. Photonics provides unique advantages for scalability, as photons are unaffected by heat and electromagnetic interference, and seamlessly integrate with existing cryogenic cooling and standard fiber-optic infrastructures.In 2024, PsiQuantum announced government-backed projects aimed at constructing our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives underscore the growing acknowledgment of quantum computing as a pivotal force for strategic and economic development, marking an opportune moment for expansion.Additionally, PsiQuantum is dedicated to developing the algorithms and software essential for unlocking the commercial potential of these systems. Our applications and industry teams collaborate directly with Fortune 500 companies, including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical, to tailor quantum solutions for real-world applications.Quantum computing signifies not merely an extension of classical computing but a paradigm shift that enables us to address complex challenges that are insurmountable by traditional means. The possibilities are vast, and we have a clear roadmap to realize them.Join us in this exciting journey!

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.