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Ideal Candidates Will Have Experience With:Training on clusters with at least 5,000 GPUs5D parallel LLM trainingDistributed training frameworks such as Megatron-LM, FSDP, DeepSpeed, and TorchTitanOptimizing training throughput for large-scale Mixture-of-Expert models
About the job
About Periodic Labs
Periodic Labs is an innovative AI and physical sciences laboratory dedicated to constructing cutting-edge models aimed at facilitating groundbreaking scientific discoveries. With substantial funding and rapid growth, our team members are empowered as owners who proactively identify and solve challenges without the constraints of bureaucracy. We are passionate about embracing new tools and scientific insights to advance our mission.
About the Role
As a Distributed Training Engineer, you will be at the forefront of optimizing, operating, and developing large-scale distributed LLM training systems that drive AI scientific research. Collaborating closely with researchers, you will support mid-training and reinforcement learning workflows, troubleshoot issues, and maintain seamless operations. You will also build tools and directly contribute to pioneering experiments, ensuring that Periodic Labs remains the premier AI and science lab for physicists, computational materials scientists, AI researchers, and engineers. Additionally, you will play a role in advancing open-source large-scale LLM training frameworks.
About Periodic Labs
Periodic Labs is a dynamic and rapidly expanding AI and physical sciences lab focused on developing advanced models to promote innovative scientific exploration. Our collaborative culture emphasizes ownership, problem-solving, and continuous learning.
Periodic Labs is an AI and physical sciences company based in Menlo Park. The team focuses on advancing scientific discovery by building advanced models that drive progress in materials, energy, and related fields. The company operates with a strong sense of ownership and a drive to push scientific boundaries, supported by leading investors and a rapidly gro…
At GRAIL, our mission is to revolutionize cancer detection by identifying it at an early stage when treatment can be most effective. We strive to alter the landscape of cancer mortality by uniting various stakeholders in the adoption of groundbreaking, safe, and efficient technologies that can truly transform cancer care.As a pioneering healthcare company, GRAIL is at the forefront of advancing early cancer detection technology. Our multi-disciplinary team, consisting of scientists, engineers, and physicians, utilizes cutting-edge next-generation sequencing (NGS), large-scale clinical studies, and advanced data science techniques to tackle one of the greatest challenges in medicine.Headquartered in the Bay Area, GRAIL also has locations in Washington, D.C., North Carolina, and the United Kingdom. We are backed by prominent global investors and partners from the pharmaceutical, technology, and healthcare sectors.We are currently looking for a Staff Machine Learning Infrastructure Engineer to join our Research Platform Engineering team. This software engineering role involves developing and maintaining systems that support machine learning and analysis workflows with controlled data. You will empower computational biologists, data scientists, and statisticians in crafting and refining powerful diagnostic products by facilitating efficient exploratory research and classifier development.The ideal candidate is someone who has a strong passion for reliable software infrastructure, distributed computing, reproducible research, and adept problem-solving skills. Given the collaborative nature of this role, excellent communication skills and experience working with diverse, multidisciplinary teams are essential.This position is hybrid, based in Menlo Park, CA, with plans to relocate to Sunnyvale, CA in Fall 2026. Our current hybrid policy requires a minimum on-site presence of 40%, particularly on key collaboration days, which are Tuesdays and Thursdays at our Menlo Park campus.
About the Role Robinhood Markets, Inc. is hiring a Senior Data Scientist focused on Machine Learning for the Brokerage team. This role is based in Menlo Park, CA or New York, NY. What You Will Do Apply advanced data analysis and machine learning techniques to strengthen the trading platform. Work closely with colleagues across product, engineering, and operations to develop data-driven tools and features. Identify patterns and generate insights that support a better user experience and greater operational efficiency. Collaboration This position partners with cross-functional teams to design and implement solutions that address real needs within the Brokerage division.
Full-time|$165K/yr - $220K/yr|Hybrid|Menlo Park, CA
Join us in shaping the future of finance.Our mission is to democratize finance for everyone. An estimated $124 trillion of assets will be transferred to younger generations in the next two decades, marking the largest wealth transfer in history. If you’re eager to be at the forefront of this monumental cultural and financial transition, we invite you to apply.About the Team and RoleWe are assembling a top-tier team, leveraging cutting-edge technologies to tackle the most significant financial challenges globally. We seek innovative thinkers, exceptional problem-solvers, and motivated builders ready to make a difference. Robinhood is not for the complacent; it’s a place where ambitious individuals achieve their career best. Our high-performing, dynamic team prioritizes ethics in all aspects of our work, where high expectations yield equally high rewards.The Incentives Data Science team operates at the crossroads of Product, Marketing, Finance, and Machine Learning. Our goal is to facilitate sustainable, data-driven growth by developing modeling, measurement, and optimization systems that enhance activation, retention, and revenue. We collaborate closely with various teams at Robinhood to design, assess, and implement incentive programs that effectively acquire, activate, and retain customers.As a Senior Data Scientist, Machine Learning, you will spearhead the comprehensive design, optimization, and advancement of Robinhood’s incentive systems. You’ll create predictive and causal ML models, establish experimentation frameworks, and build decision-making and allocation algorithms that directly shape how millions of users interact with Robinhood. This is a unique chance to influence impactful ML systems while defining incentive strategies at a company-wide level!This role is based in our Menlo Park, CA office, with a requirement for in-person attendance of at least 3 days per week.At Robinhood, we value in-person engagement to foster innovation, accelerate progress, and strengthen community. Our office environment is designed to be purposeful, invigorating, and fully supportive of high-performing teams.What You Will DoDevelop, implement, and refine predictive and causal models for incentive targeting.Design and assess experiments to quantify the incremental impact, payback, and ROI of promotional initiatives.Collaborate cross-functionally with Product, Finance, Marketing, and Engineering to provide insights for scalable solutions.
About Periodic LabsPeriodic Labs is an innovative AI and physical sciences laboratory dedicated to developing cutting-edge models that facilitate groundbreaking scientific discoveries. With substantial funding and rapid growth, our team members are empowered as owners, tackling challenges without the constraints of bureaucracy. We embrace continuous learning, adopting new tools and scientific methods to advance our mission.Role OverviewIn this role, you will train advanced frontier models to become highly knowledgeable scientific experts, forming the backbone of reinforcement learning initiatives. You will devise techniques for large-scale synthetic data generation, model distillation, and continual learning. Additionally, you will collaborate closely with reinforcement learning researchers, physicists, and chemists to craft evaluations that enhance scientific data curation. Working alongside supercompute engineers, you will scale compute-efficient large language model (LLM) training across thousands of GPUs. You will also develop high-performance tools to explore the interplay between data and intelligence.Ideal Candidates Will Possess Experience In:Training large language models (LLMs) utilizing curated datasets comprising trillions of tokens.Calculating scaling laws and identifying compute-optimal hyperparameters.Generating billions of tokens of high-quality synthetic datasets.Constructing evaluations that correlate with downstream task performance.
Join our innovative team as a Power Systems Engineer, where you'll be at the forefront of energy solutions. In this role, you will design, analyze, and optimize power systems to enhance efficiency and sustainability. Your expertise will contribute to cutting-edge projects that shape the future of energy management.
Company OverviewMainspring Energy is at the forefront of transforming power generation with the innovative Mainspring Linear Generator, a technology offering unparalleled flexibility and adaptability. Leading commercial, industrial, and utility sectors are opting for Mainspring's solutions over conventional engines, turbines, and fuel cells to efficiently and reliably provide local power for applications such as EV charging, commercial facilities, data centers, and grid-scale operations.This state-of-the-art Linear Generator is fuel flexible, swiftly adjusts to meet varying demands, and operates using a flameless reaction that results in nearly zero NOx emissions. Supported by prominent investors like Khosla Ventures, Bill Gates, American Electric Power, Lightrock, and General Catalyst, Mainspring designs, manufactures, and delivers its cutting-edge products across the U.S. and is poised for rapid international growth.Driven by our vision of an affordable, reliable, net-zero carbon grid, Mainspring is swiftly expanding its reach within the $816 billion global electricity equipment market. We're committed to hiring exceptional talent to meet our increasing customer demands worldwide and embrace a diverse range of backgrounds, experiences, and skills to foster continual innovation for our clients.At Mainspring, we value:Pragmatic Optimism: We believe that the ambition and creativity required to build a new category of world-class power generation must be balanced with practical problem-solving.Excellence without Ego: We are dedicated to providing the best customer experience, applying deep technical rigor while remaining humble about our challenges.Proactive Collaboration: Our integrated, cross-disciplinary approach necessitates actively engaging with diverse perspectives and skills, extending our culture of inclusion and respect to our partners and customers.For more information, visit www.mainspringenergy.com.Job OverviewThe technology behind Mainspring’s Linear Generator is unmatched in the market. As an Electrical Engineer focusing on inverter systems, you will collaborate with a talented team to develop innovative electrical power and control hardware systems that optimize efficiency and comply with the strictest emissions standards.
Join BillionToOne as a Senior AI Engineer I, where you will leverage your expertise in artificial intelligence and machine learning to drive innovation. In this role, you will be instrumental in developing cutting-edge AI solutions that empower our mission of advancing health technology. Collaborate with a dynamic team of engineers and researchers to create impactful applications that make a difference.
About Periodic LabsPeriodic Labs is an innovative AI and physical sciences laboratory that is pioneering advanced models to drive groundbreaking scientific discoveries. With robust funding and a rapid growth trajectory, we foster a culture of ownership where our team members proactively identify and tackle challenges without the constraints of bureaucracy. We thrive on learning new tools and scientific principles to propel our mission forward.About the RoleWe are seeking a product-oriented generalist engineer to transform Periodic's advanced models into practical tools for scientists, both within our labs and in external customer environments. You will prototype comprehensive products that integrate AI models with real-world laboratory systems, collaborating closely with scientists, model researchers, and customers to refine product features and inform model optimization and deployment strategies.As one of the first product engineers at Periodic, you will play a pivotal role in shaping the product engineering culture within our organization, influencing both internal tools and customer-facing applications.ResponsibilitiesRapidly prototype and iteratively develop sharp, effective products that scientists rely on daily, adapting based on direct feedback from laboratory settings.Design lightweight applications such as chat interfaces, dashboards, and experiment planners that leverage our cutting-edge models and scientific data.Work collaboratively with model researchers to establish product parameters, telemetry, and signals that shape model objectives and reinforcement learning reward mechanisms.Take full ownership of the development stack, from schema design to API integration and minimal frontend deployment, ensuring observability throughout.Engage directly with materials scientists to observe workflows, identify bottlenecks, and proactively build useful solutions before they are requested.
About Periodic LabsAt Periodic Labs, we combine advanced artificial intelligence with physical sciences to develop cutting-edge models that foster groundbreaking scientific discoveries. With strong financial backing and rapid growth, we empower our team members to take ownership of their roles, encouraging creative problem-solving without the constraints of bureaucracy. Our culture thrives on continuous learning and innovation, as we embrace new tools and scientific advancements to drive our mission forward.About the RoleIn this pivotal position, you will spearhead the design, implementation, and management of Periodic Labs’ IT and security frameworks. You will take charge of identity management, endpoint security, network security, and SaaS security, ensuring that our internal workflows are seamless and secure, which in turn allows our researchers to maintain high productivity levels.Your responsibilities will include writing automation scripts, integrating various systems, and establishing high benchmarks for security, reliability, and user experience. Collaborating closely with our research, infrastructure, and operations teams, you will ensure that all environments—spanning laptops, clusters, and scientific laboratories—are secure, compliant, and efficient.
Join BillionToOne as an AI Engineering Intern, where you will have the opportunity to work on cutting-edge artificial intelligence projects that impact the future of healthcare. This role is perfect for innovative thinkers eager to apply their academic knowledge in a real-world setting, contributing to product development and data analysis.
About Periodic LabsPeriodic Labs is an innovative AI and physical sciences laboratory dedicated to constructing cutting-edge models aimed at facilitating groundbreaking scientific discoveries. With substantial funding and rapid growth, our team members are empowered as owners who proactively identify and solve challenges without the constraints of bureaucracy. We are passionate about embracing new tools and scientific insights to advance our mission.About the RoleAs a Distributed Training Engineer, you will be at the forefront of optimizing, operating, and developing large-scale distributed LLM training systems that drive AI scientific research. Collaborating closely with researchers, you will support mid-training and reinforcement learning workflows, troubleshoot issues, and maintain seamless operations. You will also build tools and directly contribute to pioneering experiments, ensuring that Periodic Labs remains the premier AI and science lab for physicists, computational materials scientists, AI researchers, and engineers. Additionally, you will play a role in advancing open-source large-scale LLM training frameworks.
Full-time|$298K/yr - $350K/yr|On-site|Bellevue, WA; Menlo Park, CA
Robinhood Markets, Inc. is advancing its AI capabilities to support the future of finance. The Artificial Intelligence team designs and maintains the machine learning infrastructure that powers both new features and internal improvements across the Robinhood platform. Role overview The Senior Engineering Manager, AI, will oversee the team responsible for building and scaling Robinhood’s core AI systems. This includes managing the design and rollout of machine learning models for a variety of products and internal tools. The position plays a key part in helping product and engineering teams deliver and refine AI-driven features that address customer needs. What you will do Lead the development of foundational AI and machine learning infrastructure Manage teams working on the creation and deployment of ML and AI models for both customer products and internal processes Guide the adoption and use of Large Language Models (LLMs) to create scalable solutions Influence the engineering organization’s approach to advanced modeling and developer platforms Requirements Extensive experience in software engineering Proven track record applying machine learning at scale Strong leadership background, particularly with developer-facing platform teams Strategic vision for driving AI adoption and innovation within a large organization Location and collaboration This role is based onsite in either Menlo Park, CA or Bellevue, WA. In-person attendance is required five days per week. Robinhood emphasizes in-person collaboration to accelerate progress, encourage innovation, and strengthen its community. For additional context on the evolving landscape in finance, see this report on the $124 trillion wealth transfer expected by 2048.
Full-time|$157K/yr - $210K/yr|On-site|Menlo Park, CA
Be a part of shaping the future of finance.Our mission is to make finance accessible for everyone. With an estimated $124 trillion poised to be inherited by younger generations over the next two decades, we are at the forefront of a monumental wealth transfer. If you're prepared to engage in this pivotal cultural and financial evolution, we invite you to explore this opportunity.About the Team and RoleWe are assembling a premier team dedicated to tackling significant financial challenges through innovative technologies. We seek bold visionaries, adept problem-solvers, and builders motivated to create meaningful change. At Robinhood, complacency has no place; we are where ambitious individuals excel and achieve their career best. Our high-performing, dynamic team operates with ethics at the core of our work. High expectations yield high rewards.The Learning & Development team at Robinhood enhances performance on a large scale by providing impactful learning experiences. We empower our employees to excel through carefully crafted programs and streamlined, data-driven learning processes that support their journey—from onboarding through professional growth and compliance training. We believe that the most effective learning experiences are practical, integrated into daily workflows, and focused on driving performance excellence. Our team harmonizes creativity with practicality, developing engaging, scalable programs aligned with Robinhood’s culture, brand, and business objectives.As the Manager of Learning & Development, you will oversee the design, quality, and implementation of learning experiences throughout Robinhood. You will lead a dedicated team and collaborate with various business units to transform complex content into impactful, scalable training programs. Your role will set high standards for the quality of learning design, ensure uniformity across programs, and spearhead innovation in learning methods and tools. This position demands expertise in both strategic oversight and hands-on execution—leading a team while occasionally participating in content design.This position is based in our Menlo Park, CA office, with an expectation of in-person attendance at least four days a week.At Robinhood, we recognize the value of in-person collaboration in fostering progress, igniting innovation, and building community. Our office environment is intentionally designed to be invigorating and fully supportive of high-performing teams.ResponsibilitiesLead and nurture the learning design team, fostering a culture of continuous improvement and innovation.
Company OverviewMainspring Energy is at the forefront of transforming power generation with our groundbreaking local power generation technology, the Mainspring Linear Generator. Leading commercial, industrial, and utility organizations are increasingly choosing Mainspring over traditional solutions like engines, turbines, and fuel cells to efficiently and reliably provide local power for applications such as EV charging, commercial facilities, data centers, and large-scale grid operations.The Mainspring Linear Generator boasts remarkable fuel flexibility, adapts effortlessly to demand fluctuations, and employs a flameless reaction process that results in near-zero NOx emissions. Supported by esteemed investors including Khosla Ventures, Bill Gates, American Electric Power, Lightrock, and General Catalyst, Mainspring designs, manufactures, and delivers its innovative products to a diverse clientele across the U.S., with plans for rapid international expansion.Guided by our vision for an affordable, reliable, net-zero carbon grid, Mainspring is rapidly scaling within the $816 billion global electricity equipment market. We are actively seeking exceptional talent to meet the increasing demand from our customers worldwide. We embrace a wide array of backgrounds, experiences, and talents to drive fresh perspectives and continuous innovation for our clients.We value relationships with individuals who align with our core principles:Pragmatic Optimism: The ambition and creativity required to build a world-class power generation category must be coupled with practical problem-solving skills. We view challenges as opportunities for growth.Excellence without Ego: Our commitment to delivering an unparalleled customer experience—from sales to deployment and service—mirrors the technical rigor we apply in our product development. We aim for excellence while maintaining the humility to address our challenges collectively and as individuals.Proactive Collaboration: The integrated and multidisciplinary nature of our work at Mainspring necessitates intentional collaboration with individuals who offer diverse skills, perspectives, and priorities. Our culture promotes inclusion and respect in all interactions, both internally and with our partners and customers.
About Periodic LabsAt Periodic Labs, we are at the intersection of artificial intelligence and physical sciences. Our mission is to develop cutting-edge models that facilitate groundbreaking scientific discoveries. As a well-funded and rapidly expanding organization, we foster a culture where every team member is empowered to tackle challenges without the constraints of bureaucracy. We are passionate about learning new tools and advancing scientific knowledge to propel our mission forward.About the RoleAs a Systems Engineer, you will be an integral part of our elite team of scientists and engineers, driving the advancement of materials research in an innovative lab environment where AI and automation enable discoveries at an astonishing pace and scale.In this role, you will transform the innovative ideas of our scientists into functional systems: defining requirements, collaborating with automation vendors on design and construction, and overseeing installation and commissioning on-site. From concept initiation to the point where a tool is operational daily, you will harmonize teams, prioritize tasks, and streamline complex interfaces into reliable operations. If you are driven by the desire to convert ideas into reliable instruments that accelerate scientific progress, this is an exceptional opportunity to enhance your skills and contribute to groundbreaking discoveries.
Company OverviewMainspring Energy is at the forefront of transforming power generation with its innovative Mainspring Linear Generator technology, which offers unmatched flexibility and adaptability for local power generation. Our solutions are preferred by commercial, industrial, and utility sectors, providing reliable energy for applications such as EV charging, data centers, and large-scale grid operations. The Mainspring Linear Generator is designed to be fuel-flexible, capable of adjusting output to meet demand, and operates with a flameless reaction, achieving nearly zero NOx emissions.With the support of prominent investors including Khosla Ventures, Bill Gates, American Electric Power, Lightrock, and General Catalyst, Mainspring is committed to delivering high-quality products to customers across the U.S. and is rapidly expanding into international markets.Driven by our mission to create a reliable, affordable, and net-zero carbon grid, Mainspring is strategically positioned within the $816 billion global electricity equipment market. We are seeking talented individuals from diverse backgrounds and experiences to foster innovation and bring fresh perspectives to our team and our customers.We value individuals who resonate with our core principles:Pragmatic Optimism. We believe that building a new category of world-class power generation requires a balance of ambition and creativity with practical problem-solving skills. Challenges are viewed as opportunities for growth.Excellence without Ego. Our commitment to exceptional customer experience spans from sales to deployment and service. We apply rigorous technical expertise in developing and delivering outstanding products while maintaining the humility to recognize our challenges.Proactive Collaboration. The interdisciplinary nature of Mainspring’s operations encourages us to actively seek collaboration with individuals who possess diverse skills and viewpoints, fostering an inclusive culture that extends beyond our company to our partners and customers.For more information, please visit www.mainspringenergy.com
Company Overview Mainspring Energy is at the forefront of transforming power generation with our cutting-edge Mainspring Linear Generator, known for its unparalleled flexibility and adaptability. Leading figures in the commercial, industrial, and utility sectors are opting for Mainspring's technology over traditional power sources such as engines, turbines, and fuel cells, to swiftly and reliably provide local power solutions for applications including EV charging, commercial facilities, data centers, and large-scale grid operations. The Mainspring Linear Generator is designed to be fuel flexible, capable of adjusting output in response to demand, and utilizes a flameless reaction that produces near-zero NOx emissions. Supported by prestigious investors including Khosla Ventures, Bill Gates, American Electric Power, Lightrock, and General Catalyst, Mainspring is committed to designing, manufacturing, and delivering innovative products to customers across the U.S., with plans for rapid international expansion. Driven by our vision of an affordable, reliable, net-zero carbon energy grid, Mainspring is rapidly establishing itself within the $816 billion global electricity equipment market. We are in search of talented individuals who can contribute to our mission and help us meet the increasing demands of our customers around the world. We value a diversity of backgrounds, experiences, and skills to foster fresh perspectives and innovation. We believe in building relationships with individuals who share our core values: Pragmatic Optimism: The ambition to build a new category of world-class power generation is fueled by a blend of optimism and creativity, coupled with practical problem-solving skills to efficiently address challenges. Excellence without Ego: Our commitment to delivering the best customer experience drives us to apply our deep technical expertise with humility, striving for excellence while acknowledging our collective and individual challenges. Proactive Collaboration: Our success hinges on the integration of diverse skills and perspectives, and we cultivate a culture of inclusion and respect that extends to all our partners and customers. For more information, please visit www.mainspringenergy.com.
Join LeoLabs: Pioneering Space Safety! At LeoLabs, we're crafting a dynamic and comprehensive map of activity in space. Utilizing our innovative global radar network and AI-driven analytics platform, we record millions of measurements every day on over 25,000 objects orbiting in low Earth orbit (LEO). Our radar-enabled intelligence safeguards billions in assets, monitors potential threats, and guarantees safe operations for both commercial and governmental missions. We are not just developing technology; we are reshaping global security, safety, and transparency in space. As orbital activities increase and threats evolve, LeoLabs remains a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for leading space operators and defense organizations. If you are eager to tackle mission-critical challenges at the forefront of aerospace, national security, and AI, your journey begins here. We are currently seeking a Senior Radar FPGA/Embedded Systems Engineer to enhance our expanding team. The Radar Systems group at LeoLabs focuses on the development, maintenance, and operation of advanced software for phased array radars. In this role, you will be responsible for building, maintaining, and deploying the FPGA images utilized in our in-house Software Defined Radios (SDRs), along with the control software needed to interface with the radar and its drivers. Significance of This Role: Your contributions will directly influence mission-critical radar systems that bolster national security, commercial space operations, and overall safety in space by enabling precise detection, tracking, and analysis of objects in orbit. Key Responsibilities: Xilinx Platform Ownership Oversee and maintain the Xilinx Vivado + Yocto projects from inception to deployment. Enhance and secure the development and production environments. Update existing projects to be compatible with current Xilinx tool versions. Establish a dependable process for building, packaging, and deploying FPGA/boot images to both local and remote devices. RF Signal Processing-Focused FPGA Development Refine and enhance FPGA-based RF/radar signal processing chains. Collaborate with RF/signal processing stakeholders to translate performance requirements into FPGA modifications. Manage fixed-point design trade-offs and validate against system-level metrics.
About Periodic LabsAt Periodic Labs, we are pioneering advancements at the intersection of artificial intelligence and physical sciences. Our mission is to develop cutting-edge models that facilitate groundbreaking scientific discoveries. With substantial funding and a trajectory of rapid growth, our team operates as a community of owners, empowered to identify and navigate challenges without the constraints of bureaucracy. We are passionate learners, continuously seeking new tools and scientific insights to propel our mission forward.About the RoleIn this pivotal role, you will be responsible for architecting and scaling our Manufacturing Execution Systems (MES) that drive the operations of our automated materials synthesis laboratory. You will take ownership of scheduling, workflow management, and data provenance systems that integrate a variety of instruments—including furnaces, dispensers, and diffractometers—to enable the large-scale synthesis of innovative materials. Your work will involve creating workflow orchestration for multi-step synthesis processes, as well as instrument scheduling systems that effectively manage resource contention, prioritize tasks, and handle batching on shared equipment. You will ensure comprehensive lineage tracking for every sample action taken. Your technical expertise will span the full stack—from Python backend development to React frontend interfaces, and Kubernetes infrastructure—ensuring our systems operate reliably in production with minimal need for intervention. Collaborating closely with the engineering lead, you will help scale our lab automation platform in response to increasing instrument counts and experimental throughput.You will excel in this role if you possess the following experience:Development of production MES, LIMS, ERP, or process control systems adhering to strict correctness standards.Expertise in workflow and Directed Acyclic Graph (DAG) orchestration.Proficient data modeling for audit and provenance applications.Experience in managing concurrent systems, including resource locking, scheduling, and contention resolution.Background in powder synthesis, ceramics, or materials manufacturing environments.Familiarity with scheduling algorithms for managing shared resources under constraints.Knowledge of event sourcing or append-only data architectures.
