Top Tech Jobs & Startup Jobs

Own Periodic Labs’ accounting function, including close, consolidations, reconciliations, GAAP reporting, controls, audit readiness, compliance, and multi-entity accounting. Build scalable processes and systems in NetSuite, partner with finance and operational teams, oversee U.S. and international requirements, manage external advisors, and develop the internal accounting team as the company grows.

Design and integrate autonomous laboratory systems for materials discovery. Translate scientific workflows into data models and integration specifications, build automated workcells, connect instruments and robots to LIMS or MES platforms, develop instrument drivers using vendor APIs and SDKs, and integrate lab automation with AI-driven experiment planning and analysis.

Research Scientist developing and scaling reinforcement learning methods for frontier scientific language models. Responsibilities include designing compute-scaling experiments, improving policy optimization and credit assignment, developing adaptive sampling and curriculum strategies, studying training bias and stability, and improving training and inference efficiency. The role requires implementing and testing research ideas across complex training systems and transferring small-scale findings to large-scale runs.

Train and improve frontier AI models for scientific reasoning by curating scientific and synthetic data, building evaluations, applying distillation methods, and running large-scale experiments across thousands of GPUs. The role collaborates with researchers in reinforcement learning, physics, chemistry, and supercomputing to improve model capabilities and establish foundations for future pretraining.

Periodic Labs invites exceptional candidates to submit a general application for future opportunities at its AI and physical sciences laboratory. The team develops advanced models aimed at enabling novel scientific discoveries and values ownership, independent problem-solving, continuous learning, and interdisciplinary exploration.

Lead full-cycle recruiting for technical and non-technical roles: partner with hiring managers and executives, source and close candidates, ensure a high-quality candidate experience, and continuously improve recruiting processes. Expected to operate independently with strong judgment and ownership; semiconductor recruiting experience is a plus.

As a Product Engineer, you'll prototype and build tools that connect AI models with lab systems, collaborating with scientists and researchers to refine products.

Business Operations professional supporting research planning, product-science coordination, resource allocation, roadmap development, evaluation processes, and strategic analyses. The role translates scientific and AI progress into operating plans and product outcomes, builds scalable planning systems, removes organizational bottlenecks, and partners with researchers, product leaders, founders, customers, and external collaborators. Candidates need scientific or quantitative training, 4+ years in strategy, operations, product, chief-of-staff, or related roles, and experience in technical or research-driven environments.

Lead evaluation and data strategy for scientific AI: design benchmarks and RL environments, source and integrate external and experimental datasets, build pipelines and tooling, and collaborate with domain and ML researchers to iterate model training and evaluation.

The Process Engineer will manage the powder synthesis workflow, troubleshoot equipment issues, apply statistical process control, and collaborate with scientists to ensure high-quality data production.