Member of Technical Staff, X Platform Security

Join xAI's innovative Platform Security team as a Technical Staff Member, where you'll develop state-of-the-art security solutions to safeguard our Kubernetes infrastructure and enhance secure AI systems. In this role, you will design and implement AI-driven security tools, proactively tackle vulnerabilities, and advocate for secure engineering practices. Id…

Join xai as a Technical Staff Member specializing in Voice Product Development. In this dynamic role, you will be instrumental in shaping innovative voice solutions that enhance user experiences and drive technology forward. You will collaborate with cross-functional teams to design, implement, and optimize cutting-edge voice products that meet the needs of our users.

About UsOdyssey is at the forefront of artificial intelligence research, specializing in general-purpose world models that are revolutionizing consumer, enterprise, and intelligence applications. Our innovative models, such as the Odyssey-2 Pro, represent the next significant advancement in AI technology.Position OverviewWe are on the lookout for passionate individuals who are dedicated to maximizing performance from complex systems. Our goal is to develop inference infrastructure capable of scaling to hundreds of thousands of users within a year while handling vast and continuously expanding datasets. Your role will be critical in ensuring our models achieve outstanding speed, reliability, and scalability during both training and inference phases, optimizing efficiency to minimize TFLOPS per user and the costs associated with training compute.Key ResponsibilitiesEnhance models for real-time use by a user base in the hundreds of thousands.Design and execute distributed training strategies aimed at reducing training time and resource usage across extensive GPU clusters.Collaborate with a high-caliber team of ML researchers and engineers to ensure model architectures are performance-driven from the start.Create advanced tools to pinpoint performance issues and stability challenges in both training and deployment environments.Innovate new approaches, frameworks, and system designs that improve performance metrics throughout our model development and inference infrastructure.Enjoy a considerable degree of autonomy in making technical decisions.Utilize state-of-the-art GPUs in your work.

Join OdysseyML as a Data Program Manager, a key role where you'll lead and manage data-driven projects, ensuring successful execution and alignment with business objectives. In this capacity, you will collaborate closely with cross-functional teams, driving innovation and strategic initiatives that leverage data to enhance decision-making and operational efficiency.

Simile develops AI simulations that capture complex societal dynamics by using generative agents modeled on real human behavior. The company aims to help organizations make more responsible decisions by offering realistic simulations, similar to how pilots or surgeons train before facing real-world situations. Simile is building a Foundation Model to predict human behavior in a variety of contexts and at different scales. The company is supported by $100 million in funding from investors including Index Ventures, Hanabi, A*, and Bain Capital Ventures. Role overview The Member of Technical Staff (Research) joins the Research team in Palo Alto. This position involves hands-on work throughout the lifecycle of Simile’s human behavior models: training, evaluation, deployment, and monitoring. The team bridges research and product, with a strong focus on experimental rigor and system reliability to support critical decision-making. Researchers are expected to take full ownership of their projects, from designing experiments to deploying models in production. The work has a direct impact on real-world applications. Key responsibilities Redesigning data schemas: Overhaul foundational data architecture by redefining schemas across multiple databases to strengthen system capabilities. Improving computational performance: Refactor algorithms in internal data pipelines, resolving bottlenecks to enable efficient, large-scale model training. Building and managing infrastructure: Design and operate model training infrastructure, write high-performance code for NVIDIA hardware, and ensure smooth data ingestion and workflow efficiency. Developing scientific evaluations: Create advanced evaluation tools that extend beyond standard benchmarks to verify model reliability and accuracy. Location This position is based in Palo Alto.

Role Overview Xai is hiring a Technical Staff Member to focus on Money, Fraud, and Payments. This role sits at the intersection of technology and finance, supporting efforts to strengthen payment systems and fight fraud. What You Will Do Work closely with teams across the company to improve payment solutions Develop and implement new technologies to address fraud and security risks Help design systems that keep transactions secure and efficient Location New York, NY Palo Alto, CA

Join our innovative team at xai as a Member of the Technical Staff for our X Core Product. In this pivotal role, you will leverage your expertise to drive cutting-edge solutions that enhance product performance and user experience. Collaborate with cross-functional teams to design, implement, and optimize system architectures while contributing to the development of next-generation technologies.

Join Our Team at SimileAt Simile, we are revolutionizing decision-making in society by providing AI simulations that accurately model human behavior. Just as pilots and surgeons rely on simulations for training, we believe that businesses deserve the same rigor when making high-stakes decisions.Our groundbreaking work has led to the creation of the first AI simulation of society, featuring generative agents that reflect real human experiences. Backed by $100 million from top investors, including Index Ventures and renowned AI experts, we are on a mission to predict human behavior with unparalleled accuracy.The RoleAs an Applied Research Engineer and Member of Technical Staff (MTS), you will be integral in refining our models of human behavior. With a strong emphasis on scientific rigor, you will participate in the entire research cycle—from designing experiments to implementing them in production systems that influence real-world decisions.Your Responsibilities Will Include:Data Insight Extraction: Analyze extensive proprietary datasets, including unstructured interviews and behavioral data, to uncover meaningful insights.Hardware Proficiency: Develop and optimize algorithms for cutting-edge NVIDIA hardware, conducting experiments that inform our model training.Scientific Leadership: Design thorough evaluations that validate our behavioral simulations against industry standards.Pushing Boundaries: Engage with the latest research in simulation and AI, continuously enhancing our methodologies and documentation.

Join xAI as a Technical Staff Member focused on Pre-training Data Infrastructure. In this pivotal role, you will design and implement large-scale data processing systems that handle massive datasets with both CPU and GPU processing. Your responsibilities will include creating tools for orchestrating complex data pipelines, enhancing data discoverability and quality, and managing innovative data pipelines for high-quality training data. We seek a proactive individual with a robust understanding of distributed data systems and an eagerness to contribute to groundbreaking AI technologies.

About xAIAt xAI, we are on a mission to develop cutting-edge AI systems that not only comprehend the complexities of the universe but also empower humanity in its quest for knowledge. Our team is small yet highly driven, dedicated to achieving engineering excellence. We welcome individuals who relish challenges and have an insatiable curiosity. Operating with a flat organizational structure, we encourage hands-on contributions from all team members towards our collective mission. Leadership is earned through initiative and consistent high performance, making work ethic and prioritization crucial. Strong communication skills are essential, as sharing knowledge effectively with teammates is a key expectation.About the RolexAI is on the lookout for skilled software engineers to construct robust data pipelines, develop comprehensive evaluation frameworks for benchmarking large language models (LLMs), and create automation solutions that enhance the productivity of our researchers and engineers.Focus AreasDeveloping and maintaining frameworks for agent, data, and model evaluation tasks.Creating environments for AI agents.Designing tools to automate common workflows.Enhancing alerts, metrics, and error handling for large-scale reinforcement learning tasks.Refactoring existing agent, data, evaluation, and training frameworks for improved modularity.Establishing operational procedures and coding standards to facilitate the transition from small-scale experiments to large-scale reinforcement learning training.Implementing unit tests and CI/CD frameworks to support rapid development cycles.Ideal ExperienceProven experience in building and maintaining frameworks utilized by multiple engineers.Expertise in creating high-performance sandboxes, virtual machines, and simulations.Experience in developing full-stack applications for workflow automation and data visualization.Capability in rapidly iterating research into production cycles.Knowledge in test automation and CI/CD practices.Typical Challenges You Will EncounterExploring new agentic model capabilities...

Technical Staff Member - Foundation Model Architecture & AI InfrastructureJoin Vinci, a leading innovator in operator intelligence infrastructure for cutting-edge hardware programs. We have successfully demonstrated that a single foundation model can seamlessly operate across various industries on complex production workloads.Leveraged over 45TB of structured physics data for training.Facilitated billion-voxel inference in live production settings.Implemented within Tier-1 semiconductor and hardware environments.Adapted to operate across diverse physical scales and operator regimes.This is not just a research prototype; it is a robust production infrastructure. We are now on a mission to scale our deployment to industrial levels:Enhancing simulation throughput by two orders of magnitude.Transitioning from billion-voxel to trillion-voxel domains.Broadening operator coverage to nonlinear regimes.Enabling global, multi-entity deployments within Tier-1 ecosystems.Our goal is not merely to become a frontier AI lab but to establish the default operator intelligence layer that hardware companies depend on.The Operator FrontierOur unified model currently addresses a subset of partial differential equations within real industrial environments. The next step involves extending this unified architecture across operator systems, including:Maxwell’s equationsElasticityPlasticityNavier–StokesNonlinear constitutive systemsCoupled multiphysics interactionsWe aim to evolve a single operator foundation model that generalizes across industries, physical scales, and conditioning regimes, all while scaling in deployment volume.Key ResponsibilitiesThis position focuses on AI architecture and systems engineering rather than low-level GPU kernel development. You will play a crucial role in defining and enhancing the core operator intelligence layer.

Technical Staff Member - High-Performance Sparse Linear Algebra & GPU Solver ArchitectureVinci | Full-Time | Remote / HybridOur MissionAt Vinci, we are pioneering AI-driven infrastructure that empowers modern hardware programs to make precise physics decisions confidently. Our cutting-edge software offers manufacturing-resolution physics simulations with unparalleled accuracy at speeds significantly surpassing traditional tools, eliminating the need for meshing and approximation overhead.We are actively engaged with a diverse array of Tier-1 partners across semiconductor IDMs, foundries, advanced packaging, fabless companies, automotive, EMS, and energy hardware development. This translates to real solver constraints rather than mere benchmarks, as the simulation decisions we facilitate directly influence tangible hardware outcomes, incorporating a variety of operator structures and conditioning regimes.We are currently developing the foundational solver architecture designed to scale from billions of degrees of freedom to trillions, ensuring determinism and adaptability across vastly different operator landscapes and distributed environments.The Challenge AheadThis position focuses on the core numerical substrate rather than application wrappers. Your tasks will include:Extreme scale conditioning and convergenceDomain decomposition and Schwarz theory implementation at production scaleRobust multilevel and multigrid preconditioningDevelopment of communication-avoiding Krylov and hierarchical solversDeterministic parallel reductions across GPU clustersAI-enhanced solver components rooted in numerical precisionYour contributions will be pivotal in shaping the solver architecture that accommodates not just a singular physics model but a comprehensive operator ecosystem, including indefinites, saddle-point systems, significant coefficient jumps, anisotropy, and tightly coupled multiphysics blocks typical in real-world hardware workflows.Your ContributionsYou will take charge of designing and delivering production-ready solver infrastructure, including:Domain Decomposition & Schwarz MethodsAdditive and multiplicative Schwarz frameworksOverlapping and non-overlapping strategiesScalable coarse space construction

Join SpaceX as a Platform Engineer, where you will contribute to the development and maintenance of our cutting-edge technology platforms. This role entails working with a talented team to build robust systems that support our missions in space exploration. Your expertise and innovation can help us push the boundaries of what is possible.

Join Our Innovative Team at xAIAt xAI, we are on a mission to develop advanced AI systems capable of deep comprehension of the universe, ultimately assisting humanity in its quest for knowledge. Our team is small yet highly motivated, dedicated to engineering excellence and driven by curiosity. We encourage individuals who thrive in challenging environments and seek to push boundaries. Embracing a flat organizational structure, we empower all employees to be hands-on contributors to our mission, rewarding those who demonstrate initiative and commitment to exceptional results. Strong communication skills are essential, enabling team members to share insights effectively.About the RoleThe Mid-Training Team at xAI is tasked with creating an omni model that comprehensively understands the universe through various modalities: text, image, video, and audio. We are seeking talented engineers with expertise in multimodal mid-training data to help us achieve this goal.Technical Expertise RequiredPythonJAX and XLASparkRayLocationThis position is located in the Bay Area, specifically in Palo Alto and San Francisco. Candidates should either be based in the Bay Area or be open to relocation.Key ResponsibilitiesScale synthetic coding data to trillions of tokens utilizing large-scale Docker verification.Transform flagship model intelligence into streamlined flash models through synthetic data generation.Optimize mid-training data mixtures to enhance reinforcement learning outcomes.Engineer innovative long-context data recipes.Develop comprehensive and diverse evaluation methods for mid-training checkpoints.Preferred QualificationsExpertise in machine learning and large model scaling, with a solid understanding of various scaling laws.Proven ability to design and execute machine learning experiments.Familiarity with state-of-the-art techniques for curating training data across text, image, audio, and video modalities.Strong analytical and problem-solving skills.

About UsOdyssey is an innovative AI laboratory at the forefront of developing general-purpose world models. These advanced multimodal intelligence systems are set to revolutionize consumer, enterprise, and intelligence applications. With models like Odyssey-2 Pro, we are pioneering the next significant leap in AI technology.Position OverviewWe are in search of passionate engineers who excel in the art of building robust systems. You should possess the ability to write elegant, scalable machine learning code, with a strong emphasis on performance and an understanding of the underlying research. You are comfortable navigating the realms of modeling and systems, boldly tackling complex technical challenges while taking pride in constructing the infrastructure and tools that enable groundbreaking advancements.Your ResponsibilitiesDevelop and scale the training and inference systems that drive Odyssey’s general-purpose world models, encompassing large-scale distributed pipelines and real-time optimization.Collaborate closely with researchers to prototype novel architectures, enhance model performance, and transition concepts from research to production.Create high-performance data and computation systems for video generation and control, facilitating rapid iteration and effective resource utilization.Design tools, metrics, and visualizations that provide insights into model behavior and evolution.Work hand-in-hand with product engineers to incorporate Odyssey’s models into real-time, interactive user experiences that exemplify new general-purpose world models.Embrace a fast-paced iterative approach. As part of a tightly-knit team, your experiments will evolve into demos and ultimately into products.Contribute to shaping Odyssey’s engineering culture, which is pragmatic, research-oriented, and always focused on what is possible next.Your ProfileA staff-level or senior engineer experienced in large-scale machine learning systems, distributed training, performance optimization, or model deployment.Hands-on and technically adept: you thrive on writing code, optimizing processes, and enhancing system efficiency.Proven experience with data structures, algorithms, and coding practices that lead to high-performance outputs.

About UsOdyssey AI is at the forefront of artificial intelligence innovation, developing groundbreaking general-purpose world models that represent a new paradigm in multimodal intelligence. Our cutting-edge models, including the remarkable Odyssey-2 Pro, are unlocking new possibilities for consumer, enterprise, and intelligence applications.Your RoleWe seek a highly skilled and imaginative researcher who thrives on the challenge of invention. You are driven by curiosity, eager to transform abstract concepts into tangible systems, and adept at integrating research with practical applications. Your ambition to create general-purpose world models capable of real-time generation, comprehension, and interaction is key.ResponsibilitiesPursue innovative research into the foundational aspects of world models, including representation, temporal coherence, causality, control, and long-term imagination.Develop and oversee an independent research agenda, tackling unresolved questions, formulating hypotheses, and creating algorithms that could redefine the capabilities of these models.Investigate novel architectures, learning objectives, and training paradigms that advance beyond current diffusion and transformer methodologies.Create conceptual frameworks and experimental systems to enhance our understanding of model perception and user intent responsiveness within real-world contexts.Collaborate with engineering and infrastructure teams to translate foundational insights into prototypes that showcase new functionalities rather than mere incremental improvements.Contribute to the scientific community by publishing research, mentoring peers, and actively engaging with the broader research ecosystem to influence the evolution of general-purpose world models.

About UsOdyssey is at the forefront of artificial intelligence innovation, dedicated to developing general-purpose world models. These models represent a cutting-edge form of multimodal intelligence that paves the way for transformative applications across consumer, enterprise, and intelligence sectors. Our groundbreaking work, including advancements showcased in Odyssey-2 Pro, positions us as leaders in the next major frontier of AI.Position OverviewWe seek a passionate Infrastructure Engineer who excels in creating the systems that enable pioneering research and product development. You possess a systems-oriented mindset, are driven by performance, and thrive on converting theoretical limitations into practical, efficient solutions. Your mission will be to design and maintain an infrastructure that supports Odyssey's world models, facilitating real-time imagination, action, and interaction.Key ResponsibilitiesDevelop and manage a low-latency model inference platform, ensuring optimal availability, scalability, and resource efficiency for Odyssey’s world models.Engineer and expand our core data processing infrastructure (e.g., Flyte, Ray with Kubernetes) to manage petabyte-scale datasets effectively.Design, construct, and maintain large-scale, GPU-based training clusters for deep learning, emphasizing usability, throughput, and reliability.Automate infrastructure provisioning and monitoring using Infrastructure as Code (IaC) principles.Enhance performance tuning, cost management, and reliability across the technology stack.Work collaboratively with researchers and product developers to comprehend their needs, streamline workflows, and elevate platform usability.

At Verdigris, we are dedicated to enhancing and sustaining human life through cutting-edge energy intelligence solutions. As the global demand for energy continues to rise, we foresee a future where Verdigris leads the way in optimizing data center efficiency and fostering intelligent energy systems that benefit humanity.About the RoleWe are on the lookout for a Technical Marketing Lead to develop the innovative systems and tools that will drive our go-to-market strategy. This role is hands-on; you will not merely draft briefs but will actively create, prototype, and deploy solutions.Your Responsibilities: You will design tools that seamlessly convert our core product documentation into effective sales materials, training resources, and customer-facing assets. You will also train custom GPTs for specific marketing use cases, establish workflows that synchronize content, and launch landing pages or calculators independently without relying on engineering.Without dedicated engineering support for marketing initiatives, you will utilize environments such as Claude Code, Cursor, or similar platforms to prototype, validate concepts, and scale successful solutions.About YouYou are a builder at heart with a marketing background. You have successfully deployed AI-driven workflows, automated repetitive tasks, and developed custom GPTs for practical use. You possess a systems-thinking mindset—when encountering manual operations, you instinctively ask, 'How can I automate this?'How to Apply: Share with us what you have built. Please send us the Vercel link or details about the automation or tool you have created.

Senior / Staff Technical Program ManagerCompany Overview:Join brightai, a pioneering Physical AI organization, as we revolutionize business interactions with the physical world through advanced intelligent automation. Our cutting-edge AI platform analyzes visual, spatial, and temporal data gathered from billions of real-world events across edge devices, mobile sensors, and cloud infrastructures. We are on the lookout for a dynamic Technical Program Manager to play a key role in our expanding team. Responsibilities:Lead the entire development life cycle of innovative solutions while managing intricate projects.Oversee the project’s life cycle from ideation to closure, including post-project evaluations.Craft logical solutions to complex business challenges through inquiry, thorough analysis, and collaboration with decision-makers.Collaborate with product teams to devise strategies and roadmaps that deliver exceptional capabilities to our clients.Partner with senior engineers to design optimal technical approaches for new product development.Balance and manage multiple projects, including moderately complex initiatives.Ensure timely delivery of products within the established budget.Stay updated on advancements in product technologies.Assess the implications of emerging business trends on our operations. Skills and Expertise:Minimum of 6 years of experience in leading and building high-performing engineering teams.Comprehensive knowledge of the full product development life cycle.Proven success in transforming enterprise technology processes across diverse disciplines.Experience in technology operations and support, with proficiency in cloud-based technologies.Strong technical skills with hands-on experience.Familiarity with software, hardware, and firmware solutions.Exceptional project management skills with experience in matrix organizations.Demonstrated leadership abilities with a proactive approach to inspiring teams.Strong communication and interpersonal abilities.Capability to navigate and thrive in ambiguous situations. Bonus Criteria:Experience with digital transformation projects utilizing AI and IoT technologies.Proficiency in Linux or related environments.

As the Director of Artificial Intelligence at subsense, you will spearhead innovative AI initiatives that drive transformative solutions across our organization. Your expertise will guide a talented team dedicated to pushing the boundaries of machine learning and artificial intelligence technologies.Your role will involve collaborating closely with cross-functional teams to develop and implement AI strategies that align with our business goals, enhance our product offerings, and improve customer engagement.