FewerJobs.
Employers

Employer profile

Periodic Labs

25 open roles indexed with location, benefit, and apply-link signals where available.

Employer site ATS: ashby Top-startup signal

Open roles

Showing the most recent indexed roles for this employer.

Search all matching jobs

  • Laboratory Operations & Maintenance Technician

    Menlo Park, California, United States

    unspecified Salary not disclosed

    Laboratory Operations & Maintenance Technician Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Periodic Labs is building an autonomous laboratory for high-throughput materials discovery - combining advanced synthesis, characterization, automation, robotics, and AI to accelerate the development of next-generation materials. We're looking for a highly capable, hands-on Laboratory Operations & Maintenance Technician to help build, maintain, and scale the physical infrastructure that enables our scientific and engineering teams to move quickly. This is an ideal role for someone who enjoys solving practical problems, working with tools, building systems, troubleshooting equipment, and taking ownership of laboratory operations. You'll work across equipment maintenance, gas and vacuum systems, utilities, instrumentation, automation support, machine shop operations, inventory management, and laboratory buildout projects. What You'll Do Equipment Maintenance & Reliability - Execute preventative maintenance programs for laboratory equipment using MaintainX CMMS; develop and improve maintenance procedures, inspection checklists, and work order templates - Perform routine inspections, cleaning, calibration checks, and equipment upkeep across mechanical, electrical, pneumatic, gas, vacuum, and fluid handling systems - Troubleshoot and repair equipment; identify recurring failure modes and implement corrective actions to

  • Environmental Health and Safety

    Menlo Park, California, United States

    unspecified $200K-$250K

    Environmental Health and Safety Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Periodic Labs is building an AI that can simulate science and verify its own predictions - training on the full scientific method. Central to that mission is a high-throughput experimental materials science lab that handles hazardous chemistries, high-pressure and high-temperature processes, air-sensitive synthesis, toxic gas exposure risks, and an expanding suite of thin-film deposition tools including PVD, PLD and the complexity of what we run overnight and autonomously is increasing every month. We believe EHS is integral to this ambition, not a compliance function bolted on after the fact, but a core design discipline that makes autonomous science possible. This EHS role and the person will build our safety architecture, defining permitting strategy, designing life safety systems, conducting process hazard analyses, and ultimately training our AI to reason about risk during experimental planning and execution. What You'll Do - Own and manage all permitting processes with local, state, and federal agencies: Fire Department/CUPA via Accela, CERS submissions for hazardous materials, AQMD/BAAQMD air permits, and TSDF coordination for hazardous waste.

  • Forward Deployed Engineer, Physics & Simulation

    Menlo Park, California, United States

    unspecified $180K-$250K

    Forward Deployed Engineer, Physics & Simulation Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Periodic Labs is deploying AI-driven simulation to solve some of the hardest physical process optimization problems in advanced manufacturing. As a Forward Deployed Engineer focused on physics and simulation, you will be the technical engine behind our most demanding customer engagements - spending significant time on-site, embedding directly with customer teams, and owning the end-to-end simulation workflow that makes our platform work in the real world. You will work alongside our internal modeling and ML teams to build, calibrate, and iterate on physics-based simulations, translate customer process knowledge into computational models, and drive iterative recipe optimization with direct feedback loops to production. This is a hands-on, high-ownership role at the frontier of AI for physical science. Willingness to travel to and spend extended time on-site in Taiwan is required. What You'll Do - Own the simulation workflow end-to-end for customer engagements - from model setup and calibration to iterative recipe optimization and results interpretation - Build, run, and debug physics-based simulations of complex physical processes, including multiphase

  • Laboratory Technician

    Menlo Park, California, United States

    unspecified $100K-$130K

    Laboratory Technician Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Periodic Labs is seeking a hands-on, detail-oriented Lab Technician to support the daily operations of our high-throughput materials experimentation facility. You'll work directly alongside our scientists and engineers to keep the lab running at the pace our science demands - performing calibrations, executing QC protocols, supporting method development, and helping build the SOPs and systems that make rigorous, reproducible research possible. This role is for someone with a science or engineering background who enjoys working with instruments, takes pride in precision and consistency, and is always looking for ways to make workflows faster and more reliable. You're equally comfortable performing careful manual tasks and thinking critically about how to automate or optimize them over time. What You'll Do - Perform regular calibration and verification of instruments and sensors, maintaining accurate records and flagging drift or anomalies - Execute and continuously refine QC workflows to ensure data integrity across experimental runs - Perform and optimize manual material handling and preparation steps - including weighing, labeling, packaging, and batch preparation - with an

  • Nanofabrication Intern

    Menlo Park, California, United States

    unspecified Salary not disclosed

    Nanofabrication Intern Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Periodic Labs is developing AI that can both simulate science and verify its predictions to train on the full scientific method. A central challenge in that mission is connecting materials discovery with real, scalable device-relevant form factors. Materials our AI predicts and our lab synthesizes must ultimately be validated through thin films, patterned structures, and device-relevant process flows for applications across semiconductors, memory, photonics, and advanced materials. We are looking for a hands-on Nanofabrication Intern with experience in cleanroom-based microfabrication or nanofabrication. This person should have practical exposure to lithography, deposition, and etch processes for silicon-based microelectronic, photonic, MEMS, or optical devices. In this role, you will support process development and experimental execution while contributing to the buildout of Periodic's internal thin-film and nanofabrication capabilities. Your work will help generate high-quality experimental data that feeds directly into our AI training pipeline. What You'll Do - Execute hands-on nanofabrication processes for silicon-based microelectronic, photonic, MEMS, or optical devices, including lithography, thin-film deposition, etch, substrate preparation, and related cleanroom workflows. - Support lithography

  • Business Operations, Product & Science

    Menlo Park, California, United States

    unspecified $250K-$300K

    Business Operations, Product & Science Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Periodic Labs sits at the intersection of frontier AI and physical science - and the operational challenges we face reflect that complexity. As Business Operations, you will be the connective tissue between our research teams, our model development roadmap, and the broader strategic and operational needs of the company. You will work cross functionally to accelerate the translation of scientific progress into outcomes that matter. This is a high-ownership role for someone who can operate in deeply technical environments without being a researcher themselves - someone who understands how science gets done, how AI models get built, and what it takes to build the organizational systems that allow both to happen faster. You will help with product-science coordination, and serve as a trusted strategic partner to leadership on the decisions that shape our trajectory. The ideal candidate has a graduate-level scientific background - physics, chemistry, materials science, or a closely related field - combined with meaningful experience in strategy, operations, or product roles at a technology or research

  • Procurement & Finance Operations Manager

    Menlo Park, California, United States

    unspecified $80-$150/hr

    Procurement & Finance Operations Manager Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role We are seeking a highly analytical, systems-oriented Procurement & Finance Operations Manager to own procurement, inventory strategy, operational finance, and purchasing systems across our laboratory and R&D environments. This role sits at the intersection of scientific operations and finance. You will help build the operational infrastructure required to scale experimentation volume dramatically while maintaining financial discipline, inventory reliability, and operational efficiency. You will own the full lifecycle of lab procurement and financial operations - from vendor management and inventory forecasting to purchase order workflows, budgeting, spend analytics, and experiment cost modeling. A key responsibility of this role will be developing systems and processes that enable the company to understand and optimize the true cost of experimentation across materials, compute, capital equipment, and operational overhead. This is not a traditional procurement role. We are looking for someone who can think deeply about operational systems, financial rigor, automation opportunities, and scalable workflows in a rapidly evolving technical environment. What You'll Do - Own purchasing operations across lab consumables, specialty materials,

  • Multiphysics Simulation Scientist, Semiconductors

    Menlo Park, California, United States

    unspecified $160K-$220K

    Multiphysics Simulation Scientist, Semiconductors Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. Periodic Labs is an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, semiconductors, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Periodic Labs is developing AI systems that can simulate physical science, verify predictions, and train on the full scientific method. A core part of that mission is building high-fidelity computational models of the processes happening inside our experimental and customer-facing systems, then making those models fast enough to support AI planning, autonomous lab operation, and engineering decision-making. We are looking for a Multiphysics Simulation Scientist to develop, validate, accelerate, and integrate models of semiconductor-relevant physical processes. This role is designed for someone with deep experience in multiphysics simulation, especially in domains such as advanced packaging, wafer mechanics, thin-film deposition, plasma processing, thermal transport, stress and warpage, capillary flow, electromagnetics, or related manufacturing processes. You will work across computational science, AI, automation, process engineering, and customer-facing teams. Your models will help us understand experimental systems, generate training data, guide process decisions, and deliver high-value engineering insights to semiconductor customers. What You'll Do - Build and apply multiphysics models for semiconductor-relevant systems, including thermal, mechanical, fluid, electromagnetic, plasma,

  • Process Engineer, Powder

    Menlo Park, California, United States

    unspecified $175K-$275K

    Process Engineer, Powder Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role As Periodic Labs scales the experimental engine behind our AI-driven materials discovery platform, we're hiring a Process Engineer to own the end-to-end workflow of our powder synthesis lab. You'll work directly across dispensing, mixing, pressing, reaction, recovery, and characterization - building the systems, controls, and instincts that keep a high-mix, fast-moving research process producing trustworthy data at increasing throughput. This is a hands-on, jack-of-all-trades role. You'll move fluently between equipment troubleshooting, statistical process control, operator workflows, and the underlying science. The variation here is intentional - we run an enormous diversity of chemistries - and your job is to build the systems that absorb that intended variation while ruthlessly separating out the unintended kind. What you learn stabilizing the manual lab will directly shape how we design our automated, full-scale lab. What You'll Do - Own the powder synthesis workflow end-to-end - dispensing, mixing, pressing, reaction, recovery, and characterization - ensuring the process runs smoothly as throughput and complexity grow - Map failure modes across the full process flow and

  • Research Engineer - Data

    Menlo Park, California, United States

    unspecified $250K-$350K

    Research Engineer - Data Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role You will build and drive the data foundation for our research efforts. This means owning data strategy end-to-end: sourcing and procuring external datasets, integrating internally generated experimental data into the training stack, and ensuring the team always has the right data - in the right shape - to train and improve frontier models. This role sits at the intersection of data engineering, research infrastructure, and strategy. You will work closely with pretraining, midtraining, and RL researchers to understand what data the models need, then build the pipelines and systems to get it there. The work spans collecting and organizing diverse data sources, improving data quality through deduplication and preprocessing, and ensuring that new experimental results are incorporated in a structured, repeatable way that makes them useful for model development. What You'll Do - Own data strategy across the training stack - identifying gaps, evaluating new sources, and shaping the overall data roadmap in collaboration with research leads - Source, evaluate, and procure external datasets across scientific domains including chemistry,

  • Supercompute Engineer

    Menlo Park, California, United States

    unspecified $350K-$450K

    Supercompute Engineer Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role As a Supercomputing Engineer at Periodic Labs, you will design, build, and operate the high-performance computing infrastructure that powers our AI and scientific research. Our models demand extreme compute at scale - large GPU and CPU clusters, high-speed interconnects, low-latency parallel storage, and workload schedulers that make every cycle count. You will work directly with researchers and infrastructure engineers to ensure our compute environment is fast, reliable, and optimized for scientific discovery at the frontier. This is a deeply hands-on role. You will architect and tune systems, automate provisioning, diagnose performance bottlenecks, and design for resilience at scale. You'll partner with research and ML teams to understand their workloads and shape an HPC environment that removes friction and accelerates science. What You'll Do - Design, deploy, and operate large-scale GPU and CPU clusters for AI training, scientific simulation, and research workloads - Manage and optimize high-speed interconnect fabrics (InfiniBand, RoCE) and parallel filesystems (Lustre, GPFS, WEKA, or equivalent) for maximum throughput and minimum latency - Own workload scheduling and resource management

  • ML Systems Engineer

    Menlo Park, California, United States

    unspecified Salary not disclosed

    ML Systems Engineer Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role You will own the systems layer that makes our frontier model training and inference fast, efficient, and tightly coupled to the RL feedback loop that drives scientific discovery. This is not a pure infrastructure role and it is not a pure research role - it sits exactly at their intersection. You will go deep into the stack: scheduling, kernels, RDMA, weight synchronization, and communication primitives, while working shoulder-to-shoulder with researchers to co-design the algorithms and infrastructure together. The RL loop is central to how Periodic Labs works. Models propose experiments, experiments generate data, data feeds back into training. The speed and reliability of that loop is a direct multiplier on the pace of scientific discovery. You will own the infrastructure that makes it fast. What You'll Do - Build rack and topology-aware scheduling for GB series GPUs across Ray, Slurm, and Kubernetes, minimizing latency and maximizing utilization across heterogeneous cluster configurations - Build online and offline profilers that surface bottlenecks across the training and inference stack and translate findings into

  • Technical Sourcer - physical sciences

    Menlo Park, Remote, Menlo Park, California, USA

    remote $200K-$250K

    Technical Sourcer - physical sciences Menlo Park, Remote, Menlo Park, California, USA About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Periodic Labs is hiring a Technical Sourcer to help us find and engage the exceptional talent that defines our team. You'll work across both our “bits” and “atoms” sides - sourcing for software engineers, ML researchers, and AI scientists as well as materials scientists, chemists, physicists, and lab engineers. This is a high-impact, high-craft role: we hire for rare combinations of skill and curiosity, and great sourcing is the first step in finding people the world doesn't expect to find. You'll work directly with our Head of Recruiting and partner with researchers and engineers across the company to build candidate pipelines that match our ambition. You're comfortable operating in uncharted territory, can craft outreach that actually gets responses, and know how to evaluate technical profiles across diverse disciplines. What You'll Do - Own full-cycle sourcing across technical roles spanning AI/ML research, software infrastructure, and physical sciences (materials, chemistry, physics, lab engineering) - Build and manage diverse, high-quality talent pipelines using LinkedIn Recruiter, GitHub, Google Scholar, academic

  • Founding HR Leader

    Menlo Park, California, United States

    unspecified $250K-$350K

    Founding HR Leader Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Periodic Labs is growing fast - and we're building the people infrastructure to match. As our Founding HR Lead, you'll run the full people function and partner directly with the leadership team to build the organization that will define the next era of AI-driven scientific discovery. You'll design the systems, help uphold the culture, and lead the team that makes Periodic Labs a place where exceptional people do the best work of their lives. This isn't a traditional HR leadership role. We need someone who has operated inside engineering-forward organizations - ideally in frontier AI, physical products, semiconductors, or hardware-forward startups - and who deeply understands how technical teams operate under pressure. You'll be a trusted advisor to founders and senior leaders, bringing both strategic vision and operational rigor. What You'll Do - Run all things people related - spanning HR business partnering, onboarding, performance, compensation, learning and development. - Partner directly with the leadership team on organizational design, workforce planning, and growth strategy as the company grows through its

  • Forward Deployed Engineer - LLM Systems

    Menlo Park, California, United States

    unspecified $350K-$400K

    Forward Deployed Engineer - LLM Systems Menlo Park, California, United States The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role You will be a key builder behind the world's first on-prem LLM system for atoms, deploying inference and reinforcement learning systems directly into semiconductor fabs where the science happens. The role splits roughly 80% LLM system development and deployment, and 20% semiconductor customer interaction - translating fab requirements into engineering specs and ensuring our systems meet the realities of production. You will move fluidly between improving LLM systems, managing Kubernetes clusters, and interacting with semiconductor experts - owning deployments end-to-end and serving as the technical face of our system to vendor partners. You will also work closely with LLM systems and modeling experts from OpenAI, Anthorpic, xAI, Google, and other frontier labs. What You'll Do - Deploy and operate inference and reinforcement learning systems on-site at semiconductor partner facilities, from bring-up through ongoing operation - Build and maintain the on-prem LLM platform powering our atomic-scale science workflows, including orchestration, scheduling, observability, and reliability - Develop and extend open-source LLM frameworks (SGLang, vLLM, Megatron, Slime) to meet the performance and integration

  • Lead Security Engineer

    Menlo Park, California, United States

    unspecified $250K-$350K

    Lead Security Engineer Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role You will lead, design, build, and operate security engineering at Periodic Labs. You will secure the systems that power our research and operations, including authentication, cloud environments, clusters, internal developer platforms, identity systems, secrets, SaaS access patterns, and lab-adjacent infrastructure. You will work closely with research, infra, lab, and operations teams to reduce risk without slowing down experimentation. This is a hands-on engineering role. You will write automation, ship controls, lead incident response, and raise the bar for how we design secure systems. You will set pragmatic standards and build tooling that makes the secure path the easy path for the rest of the company. What You'll Do - Own security architecture across cloud, Kubernetes, internal services, and research infrastructure - Design and operate identity and access systems for both people and workloads, including SSO, MFA, RBAC, SCIM lifecycle automation, workload identity, and least-privilege access patterns - Build and improve secrets management across the company, including KMS, GitHub and CI credentials, 1Password or equivalent systems, and secure service-to-service authentication -

  • Research Scientist, Materials Synthesis

    Menlo Park, California, United States

    unspecified $160K-$220K

    Research Scientist, Materials Synthesis Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Join a world-class team of scientists and engineers pushing the boundaries of materials research in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. As a Research Scientist within the Periodic Labs experimental effort, you bring computational predictions into reality through solid state materials chemistry. In this role, you will both develop new materials synthesis approaches and be part of the team developing autonomous discovery loops. What You'll Do - Develop strategies to synthesize novel solid state materials - Reveal and control the atomic structure of these materials through advanced characterization - Collaborate with the AI team in the development of predictive tools and analysis techniques grounded in chemistry and materials science - Collaborate with the engineering team to design and test new automated laboratory hardware for synthesis and characterization You Will Thrive in This Role If You Have - PhD in chemistry, physics, or materials science, with 5+ years of hands-on experience - Proficiency with a diverse range of synthesis methods within solid

  • Process Development Engineer

    Menlo Park, California, United States

    unspecified $175K-$275K

    Process Development Engineer Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role As a Process Development Engineer, you will play a crucial role in designing and optimizing the workflows and tools that enable high-efficiency process technologies, primarily for the semiconductor industry. You will contribute to lab design and expansion, define hardware engineering specs, perform hardware characterization, and troubleshoot complex engineering issues. You will also be hands-on in establishing and standardizing process flows, generating and analyzing data, creating technical documentation, and engaging with customers to ensure alignment between lab capabilities and market needs. In this role, you will experiment, learn, and collaborate daily with internal teams spanning AI/ML, simulation, automation, and physics/chemistry to build scalable solutions for high-value problems. What You'll Do - Process Engineering: Bring structure to unstructured workflows by establishing process control metrics. Conduct complex design of experiments (DOE), define recipe structures from scratch, implement statistical process control (SPC) and fault detection and classification (FDC), and extend these practices across a wide range of equipment. - Lab Development: Contribute to the design, construction, and scale-up of an AI-accelerated thin-film and semiconductor

  • Research Associate - Thin Films (Fixed Term)

    Menlo Park, California, United States

    unspecified $100K-$140K

    Research Associate - Thin Films (Fixed Term) Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role Join a world-class team of scientists and engineers pushing the boundaries of physical R&D in a groundbreaking lab where AI and automation unlock discoveries at unprecedented speed and scale. Periodic Labs is developing AI that can both simulate science and verify its predictions to train on the full scientific method. A central challenge in that mission is the gap between bulk materials discovery and thin-film form: materials our AI predicts and our powder lab synthesizes must ultimately be validated as scalable thin films to be relevant to semiconductor, memory, and advanced materials applications. We are building a dedicated thin-film lab (PVD, PLD, plasma ALD) with construction beginning in May 2026, while actively generating early data at partner facilities including Stanford Nanofab and other user facilities in the Bay Area. We are seeking a hands-on Research Associate in Thin Films to execute advanced deposition and nanofabrication processes, generate high-quality experimental data, and collaborate closely with our AI and materials teams. This is a 12-month fixed-term position with

  • Software Engineer

    Menlo Park, California, United States

    unspecified Salary not disclosed

    Software Engineer Menlo Park, California, United States About Periodic Labs We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identify and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission. About the Role At Periodic Labs, our scientists don't just design experiments - they direct an automated materials synthesis lab that runs around the clock. Behind that lab is a system that has to work: scheduling dozens of instruments, tracking every sample from precursor to characterization, and orchestrating multi-step synthesis pipelines without dropping a single data point. As our software engineer, you'll work with the engineering lead to build the orchestration systems that make all of this possible. You'll scale the scheduling, workflow, and data provenance systems that coordinate furnaces, dispensers, diffractometers, and more - turning scientific intent into fully attributable, reproducible outcomes at scale. This is a full-stack, production-grade role. You'll work across Python backends, React interfaces, and cloud infrastructure to ship systems that run reliably with minimal intervention. You'll work closely with our engineering lead and directly alongside scientists in the lab - understanding where things break, and building the systems that make them not break. What You'll Do - Own and evolve the platform that orchestrates our automated synthesis lab - scheduling instruments, managing workflows, and tracking samples end-to-end - Build workflow orchestration for multi-step