Jobs at Periodic Labs

Build differentiable, accelerator-ready continuum-physics simulations, including fluid dynamics and multiphysics problems. Implement and diagnose numerical methods, combine simulations with deep learning for surrogate modeling and inverse problems, and use JAX or PyTorch with automatic differentiation on modern accelerators. Validate models against experiments and benchmarks, create scientific datasets and evaluations for LLM development, and contribute to scalable software for realistic engineering and scientific applications.

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.

As a Forward Deployed Engineer, you will manage customer simulation workflows, implement physics-based simulations, collaborate with engineering teams, and integrate findings into real-world applications while traveling to customer locations.

As a Nanofabrication Intern, you'll execute hands-on nanofabrication processes, support lithography, deposition, and etch workflows, and collaborate on experimental planning.

Improve scientific reasoning of foundation models by curating and generating scientific data, building evaluations, and running large-scale mid-training experiments. Apply techniques like self- and on-policy distillation, calculate scaling laws and compute-optimal hyperparameters, and collaborate with RL researchers, physicists, chemists, and supercompute engineers to scale training across thousands of GPUs.

Design, fabricate, and characterize short-loop semiconductor test devices from deposition through patterned fabrication to electrical measurement. Develop thin-film stacks, run lithography and etch processes, perform probe-station characterization, build custom test benches, connect materials/interface properties to device outcomes, support customer engagements, and document experiments for internal knowledge and AI training.

As a Software Engineer in MES, you'll develop and scale systems that manage automated materials synthesis, focusing on scheduling, workflow orchestration, and ensuring accurate data provenance.

The ML Systems Engineer will design and manage efficient training and inference systems, optimize hardware utilization, and collaborate with researchers on RL loop integration, enhancing scientific discovery.

Research Scientist will lead thin-film synthesis efforts, develop materials predicted by AI, and collaborate on predictive models and automation.

The Procurement & Finance Operations Manager will lead procurement, finance operations, vendor management, and develop systems for inventory tracking and cost analysis in lab environments.

Embed with customers to translate quantum simulation workflows (DFT, quantum chemistry, many-body methods) into production integrations. Write integration code and automation, configure and validate high-throughput pipelines on cloud/HPC, troubleshoot workflows, own technical customer relationships, surface product feedback, and develop reusable onboarding and integration assets.

As the first HR Business Partner, you'll support engineering teams, manage performance systems, and enhance talent strategies for growth.

Execute thin-film deposition and nanofabrication (PVD, PLD, ALD) at partner cleanrooms and in-house, perform structural and functional characterization (XRD/XRR, ellipsometry, SEM/EDX, 4-point probe), maintain high-quality experimental records for AI training, support in-situ metrology (RHEED, real-time ellipsometry), collaborate with AI/materials teams, troubleshoot processes, and follow strict safety and cleanroom protocols.