Member of Technical Staff, Pre-training Data Infrastructure

About SimileAt Simile, we believe in revolutionizing decision-making by simulating the complexities of society. Just as pilots and surgeons train in controlled environments, we aim to equip organizations with the ability to anticipate human behavior through advanced AI simulations. Our pioneering research has established a new frontier in AI-based modeling, allowing us to forecast human behavior across various scenarios and scales.With substantial backing of $100 million from prominent investors including Index Ventures and AI luminaries such as Andrej Karpathy and Fei-Fei Li, we are committed to pushing the boundaries of artificial intelligence.Join Our Infrastructure TeamThe Infrastructure team at Simile is crucial to our platform's success. We design and implement the foundational systems that enable our AI agents to function securely and efficiently on a large scale. We specialize in high-scale cloud networking and distributed systems, ensuring enterprise-grade privacy.Our Work is Organized Around Three Key Pillars:Cloud Foundation: Overseeing our multi-cloud environment (AWS/GCP) to ensure high availability and cost-efficiency through Infrastructure-as-Code.Enterprise Deployments: Creating streamlined pathways for VPC peering, PrivateLink, and BYOC (Bring Your Own Cloud) architectures tailored for our largest clients.Platform & Reliability: Developing CI/CD pipelines and observability stacks (including p99 latency tracking and SLOs) that empower our entire engineering organization to deliver safely and effectively.Role OverviewWe are on the lookout for a driven Infrastructure Engineer who is passionate about navigating the intricacies of modern deployment strategies. You will take charge of our infrastructure roadmap from conception through to operational execution, ensuring our platform remains resilient, compliant, and primed for global scalability.Key ResponsibilitiesArchitect Multi-Cloud Environments: Design and expand multi-region architectures across AWS and GCP, addressing global data residency and failover needs.Enhance Engineering Velocity: Collaborate with Product Engineering, Research, and Security teams to develop internal tools and paved pathways that accelerate development and empower engineering teams.

Mithril is building AI infrastructure to make GPU computing accessible for enterprises, AI startups, and research organizations. The company’s customers include LG AI Research, Saronic, and the Broad Institute. Mithril was founded by a former Google DeepMind research scientist and a Stanford CS PhD, and has raised $80 million in seed and Series A funding from Sequoia Capital, Lightspeed Venture Partners, and others. Platform revenue has grown more than sixfold in the past year. Fast Company recognized Mithril as the 8th Most Innovative Company in Artificial Intelligence for 2026. The team is transitioning from bare-metal operations to a cloud-native, multi-provider platform, introducing an auction and flexibility model. This is an opportunity to help shape the platform from its early stages. Role overview The Software Engineer - Technical Staff Member will work across three main areas: Consumption: Developer-facing product, billing, and API Platform: Orchestration and marketplace solutions Supply: Cloud provider integrations and capacity management Engineers at Mithril take on significant ownership, building features end-to-end that support critical customer workloads and drive revenue. The scope includes backend systems, marketplace logic, and customer interfaces. Architectural decisions here have a direct impact on Mithril’s growth and scalability. What makes this role unique This position blends deep systems work with product-facing challenges. Engineers contribute to the orchestration engine that manages GPU capacity across providers, as well as the interfaces customers use to reserve, bid, and utilize resources. The systems built in this role handle financial transactions, real workloads, and market mechanisms such as spot auctions, reservation pricing, and capacity allocation. For those interested in the mechanics of GPU infrastructure markets and building the technology behind them, this role offers direct involvement. Location This role is based in Palo Alto or the San Francisco Bay Area.

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...

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.

About UsAt vinci4d, we are pioneering a revolutionary co-pilot for hardware designers, aiming to empower 9 million mechanical engineers to accelerate their design processes by a factor of 1000.Our innovative approach involves developing a geometry and physics-driven foundation model tailored for diverse part designs.We are proud to have secured initial funding from Khosla Ventures, propelling us forward in our mission.About YouYou are a passionate Computational Fluid Dynamicist skilled in developing flow solvers for intricate geometrical applications. Your expertise encompasses external flows over dynamic vehicles (aircraft, missiles, automobiles), as well as fluid movement through machinery such as ducts, turbo-machinery, refrigeration systems, and computer heat sinks. Terms like conjugate heat transfer, multi-physics applications, and complex geometries excite you.Your ResponsibilitiesDesign, develop, and deploy simulation codes for single and multi-physics configurations, emphasizing Conjugate Heat Transfer.Optimize code performance on contemporary architectures, including GPUs.Implement advanced linear and nonlinear solvers to reduce time to solution.Collaborate in strategizing, planning product roadmaps, and prioritizing development alongside early customers and design partners.Develop and launch critical product features.Engage in continuous learning while creating products that resonate with engineers, gaining insights into entrepreneurship.

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.

About UsIn a world where pilots and surgeons practice in simulated environments, we at Simile are pioneering the future by transforming how society's most critical decisions are modeled and understood.We have created the first AI simulation of society, filled with generative agents that reflect real human behavior. Our groundbreaking research has established the viability of AI-driven simulation and we are currently advancing a Foundation Model designed to predict human actions in diverse scenarios and at any scale.With $100M in funding from prominent investors such as Index Ventures, Hanabi, A*, Bain Capital Ventures, and leading AI figures like Andrej Karpathy and Fei-Fei Li, we are poised to revolutionize our field.Your OpportunityAs a Product Engineer - Member of the Technical Staff, you will be crucial in developing the platform that leverages our foundational model. This role is not limited to UI construction; it involves designing robust infrastructure and interfaces to facilitate complex multi-agent simulations for elite organizations worldwide.We seek full-stack engineers who can seamlessly integrate advanced AI research with production-ready enterprise software. You will architect and scale systems that empower clients to manage thousands of generative agents, observe emergent behaviors, and extract meaningful insights from simulated societies.Key Responsibilities:End-to-End Ownership: Lead the product development lifecycle for new enterprise solutions, from initial design through backend services to user-centric components and APIs.Collaborative Product Development: Work closely with product managers, designers, and customers to simplify complex human behavior simulations into intuitive interfaces.System Evolution: Develop and refine systems that enhance customer workflows, ensuring reliability, performance, and scalability as we model human behavior on a global scale.Technical Excellence: Write clean, well-tested code and engage in thorough code reviews to uphold high standards of system quality and safety in production.Pragmatic Shipping: Balance the need for a sound technical architecture with the urgency to deliver incrementally and learn from real-world applications.

About xAIAt xAI, we are on a mission to develop advanced AI systems that enhance our understanding of the universe and help humanity achieve its knowledge goals. Our dedicated team is small yet highly driven, emphasizing engineering excellence. We value individuals who thrive on curiosity and are eager to tackle challenges head-on. With a flat organizational structure, we empower all employees to take initiative and contribute meaningfully to our mission. Exceptional work ethic, prioritization skills, and strong communication abilities are essential for success in our collaborative environment. About the RoleWe are in search of outstanding engineers eager to embark on an innovative project aimed at integrating Grok into every aspect of our Advertising Platform. We seek individuals with extensive experience in developing high-performance advertising products and systems at scale, encompassing bidding, auction, marketplace dynamics, ranking, prediction, and product functionalities. Your expertise will help us leverage xAI’s technology stack to revolutionize our advertising solutions.Your ResponsibilitiesUtilize state-of-the-art Grok models to enhance all facets of our advertising stack, including candidate selection, ranking, auctions, campaign optimization, creative development, and improving the advertiser experience.Take ownership of systems and products that drive significant revenue for the company.Who You AreYou possess 3+ years of industry experience in creating large-scale, high-throughput, AI-driven advertising solutions.Technical ProficienciesProficient in Python, Jax, and Rust.LocationOur engineering team is based in Palo Alto, CA. While we typically work from the office five days a week, we offer flexible work-from-home options when needed.Interview ProcessUpon submitting your application, our team will review your resume and documentation of your outstanding work. If your application meets our criteria...

About xAIAt xAI, our vision is to develop AI systems that deeply comprehend the universe and assist humanity in its quest for understanding. Our team is a close-knit, highly driven group committed to engineering excellence. We welcome individuals who relish challenges and thrive on curiosity. Operating within a flat organizational structure, we expect all employees to be hands-on contributors to our mission. Proactive leadership is recognized, and a strong work ethic combined with exceptional prioritization skills is essential. Effective communication is crucial, as employees must be able to share knowledge clearly and precisely with colleagues.ROLE OVERVIEW:Join our Grok Voice Model team to engineer the leading voice AI technology. We aim to facilitate seamless, natural, low-latency spoken interactions that are expressive, multilingual, and reliable across devices and real-time applications. We manage the entire training pipeline, encompassing extensive data curation, high-quality audio processing, cutting-edge speech-language pre-training, and rigorous post-training to maximize quality, speed, and stability.Our aspiration is to make conversing with AI feel like engaging with the most charming, knowledgeable, and kind individual imaginable. We are in search of exceptionally intelligent, execution-focused engineers to help us achieve this goal.

About Us At vinci4d, we are revolutionizing the hardware design landscape with our cutting-edge AI assistant, aimed at empowering engineers to accelerate their design iterations by a staggering 1000 times.Our innovative foundation model, driven by geometry and physics, is tailored for each category of part design.We are on the lookout for passionate individuals who thrive on product development to enhance our Minimum Viable Product (MVP).Your ResponsibilitiesAs a pivotal member of our team, you will design and develop the essential pipelines and tools that transform our vision into reality. Your contributions will significantly expedite our development processes by facilitating smooth transitions from code development to deployment. Key responsibilities include:Enhancing product features for scalability and developing advanced APIs to support intricate engineering workflows.Establishing and integrating LLM or VLM infrastructure.Implementing an MLOps framework for training deep learning models using geometry and physics data.Collaborating with early customers and design partners to strategize and prioritize the development roadmap.Building and deploying critical product features.Gaining invaluable experience while creating products that resonate with engineers, and learning about the entrepreneurial journey.QualificationsA minimum of 6 years in developing and delivering features within the high-performance computing domain.Expertise in C++, Python, or any relevant language necessary for system setup, along with familiarity with tools such as gRPC, Protocol Buffers, Docker, Kubernetes, and Bazel.Experience with cloud computing for data generation, scraping, and assisting data science teams in model training with MLOps is a plus.CUDA experience is desirable but not mandatory.Frontend development experience is a bonus.Prior experience in a startup environment will be highly valued.You’ll Thrive in This Role If YouAre enthusiastic about entrepreneurship and the process of transforming ideas from concept to reality.

Join SpaceX as a Member of Technical Staff, where you will play a crucial role in supporting government initiatives and projects that require top-secret clearance. Your expertise will contribute to the development of cutting-edge technologies that are transforming space exploration and enabling humanity's future in space.

xai is seeking a Technical Staff Member focused on Post-Training and Reinforcement Learning at its Palo Alto, CA location. This position centers on advancing AI technology through hands-on project work and collaboration. Role overview This role involves contributing to projects that explore and extend the capabilities of AI systems. The work emphasizes post-training techniques and reinforcement learning methods, supporting the ongoing development of advanced solutions. Collaboration Teamwork is central to this position. You will work closely with colleagues to share ideas, refine approaches, and help shape the next generation of AI systems at xai.

About SimileAt Simile, we are redefining how society’s most impactful decisions are made. Just as pilots and surgeons practice under controlled conditions, we believe that critical societal choices should not be made in untested environments.Our groundbreaking AI simulation of society, powered by generative agents modeled after real humans, is revolutionizing the field of AI-driven simulation. We are on a mission to accurately predict human behavior across diverse scenarios and scales.With $100 million in funding from renowned investors such as Index Ventures, Hanabi, A*, Bain Capital Ventures, and notable AI pioneers like Andrej Karpathy and Fei-Fei Li, we are poised for remarkable growth.

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 Member of the Technical Staff specializing in Inference Engineering. Our mission is to engineer cutting-edge AI systems that enhance humanity's understanding of the universe. We are a dynamic, compact team dedicated to excellence, where each member is encouraged to take initiative and contribute significantly to our objectives. The ideal candidate will thrive in a collaborative environment, showcasing their expertise in optimizing model inference and developing robust systems capable of serving billions of users. If you are passionate about pushing the boundaries of AI technology and enjoy tackling complex challenges, we want you on our team.

Join our innovative team at Elorian AI Inc. as we spearhead the development of cutting-edge visual intelligence solutions. We are on the lookout for exceptional researchers and engineers who are passionate about advancing the field of artificial intelligence. If you are committed to excellence and thrive in a dynamic environment, we would love to hear from you.

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 xai as a Member of Technical Staff specializing in Web Foundations. In this role, you will collaborate with cross-functional teams to develop and enhance our web infrastructure, ensuring high performance and scalability. You will have the opportunity to leverage cutting-edge technologies to build and maintain robust web applications that serve our global user base.

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.