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.
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
We’re always on the lookout for exceptional people - even if there’s no open role that’s a perfect fit right now.
If you believe your skills and experience align with our mission and you're excited about what we're building, we’d love to hear from you.
Similar Jobs
.png)
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Lead the architecture, development, and scaling of data pipelines and infrastructure for a customer-facing Data Lake platform. Build ETL and ingestion systems using GCP, Debezium, Pub/Sub, Dataflow, BigQuery, Python, Golang, and SQL. Establish engineering standards, deliver strategic projects, mentor engineers, influence cross-functional technical decisions, optimize data services, and shape the platform roadmap.
Top Skills:
BigQueryCi/CdConfluenceDataflowDebeziumGoGoogle Cloud Platform (Gcp)JIRAPub/SubPythonRest ApisScrumSQL
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop Python software and data systems that capture, validate, process, monitor, and deliver autonomous-vehicle telemetry from fleets to cloud and AI development pipelines. Own reliability initiatives, define architectures and operational metrics, debug distributed cloud and backend issues, improve observability and data quality, and apply AI/LLMs to incident triage and root-cause analysis. Collaborate across engineering and operations teams, lead design reviews, deliver tested production solutions, and mentor engineers.
Top Skills:
APIsAutomated TestingBackend ServicesBigQueryC++CiCloud StorageContainer OrchestrationData PipelinesDistributed SystemsGCPKubernetesLlmsMetricsMonitoringPythonSQLTelemetry Pipelines
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Provides on-site automotive technical support to GM dealerships and wholesale teams. Diagnoses vehicle and Techline issues, resolves escalated cases, supports repair and repurchase prevention, reviews dealership service readiness, trains personnel, troubleshoots IT and diagnostic tools, and reports product concerns to GM engineering and quality teams. The role manages territory relationships, supports arbitration and legal cases, and requires frequent travel, extensive automotive diagnostic experience, and strong customer and technical communication skills.
Top Skills:
Buffalo ToolController Area Networks (Can)Gm Essential Service ToolsGm Global Connect Service ApplicationsGm LanGm Service Training CollegeInca ToolLan/WanMS OfficeNeoviPicoscopeTis/GdsV-Spy Intrepid Tools
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
