Research Engineer - Automated Lab Development

**Summary:** At Meta, we are looking for an experienced and motivated engineer to define and drive the software orchestration and physical infrastructure for our autonomous, "self-driving" battery research lab. In this role, you will lead the technical build-out of connected, multi-station automated workcells and guide the architecture for APIs and data pipelines required to bridge laboratory hardware with advanced machine learning pipelines. Collaborating closely with a cross-functional team of materials scientists and ML engineers, your orchestration platform will directly accelerate the closed-loop discovery and deployment of next-generation battery technologies for next-generation devices. **Required Skills:** Research Engineer - Automated Lab Development Responsibilities: 1. Define the overall technical roadmap and detailed system architecture to build an autonomous, automated, end-to-end battery research lab, seamlessly integrating both commercially available instruments and custom hardware solutions 2. Identify gaps where commercial automation solutions fall short. Define strategies for external partner engagement and directly lead the co-development of custom automation approaches with third-party vendors. Own build-out of partner automation solutions within Meta labs. Drive or directly develop application-specific customizations and extensions of automation solutions 3. Guide development of software by internal and/or external partners to operate individual system components, orchestrate the full system, and provide resulting data to researchers 4. Translate the needs of internal research scientists into actionable hardware and software engineering specifications for the autonomous lab system, ensuring continuous alignment with core research objectives **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Robotics, Mechatronics, Electrical Engineering, Computer Science, Mechanical Engineering, or a related technical discipline 6. 8+ years of hands-on experience designing, scaling, and deploying automated laboratory systems, robotic workcells, or complex industrial testing/characterization hardware 7. Experience setting requirements for and using software to control physical hardware, manage device state machines, sequence multi-instrument workflows. Experience setting requirements for custom APIs, web services, or serial communication protocols to bridge data and control pathways between different vendor instruments 8. Experience managing technical definitions, timelines, and deliverables with third-party automation vendors, system integrators, or external OEM partners 9. Experience collaborating with cross-functional teams (e.g., research scientists, software engineers, hardware engineers) to translate scientific experimental requirements into engineering specifications **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. in Robotics, Mechatronics, Computer Science, or a related field with a thesis or research focus on automated physical systems 11. Familiarity with modern laboratory connectivity standards and middleware protocols 12. Experience integrating automated hardware with Electronic Laboratory Notebooks (ELNs), Laboratory Information Management Systems (LIMS), or centralized cloud data warehouses 13. Experience with battery and materials characterization techniques, including electrochemical cell characterization, cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), X-ray photoelectron spectroscopy (XPS), and Fourier-transform infrared spectroscopy (FTIR) 14. Experience with industrial lab orchestration/scheduling software or data workflow management tools 15. Direct experience working on automated high-throughput screening (HTS) or "closed-loop" autonomous discovery systems where hardware execution loops were driven by algorithmic/ML inputs **Public Compensation:** $173,000/year to $245,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.