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Transfyr is building physical AI systems that capture and record real scientific work, turning experimental execution into high-fidelity, machine-readable data. The company addresses a critical gap in science: the lack of detailed records about how experiments actually succeed or fail, which hampers automation, training, tech transfer, and reproducibility.
As a Field Applications Engineer, you will be the bridge between Transfyr's AI platform and real-world laboratory environments. You own the physical realization of the platform at customer sites, from hardware procurement and assembly through field deployment and ongoing customer success.
Key responsibilities include:
- Hardware Procurement & Assembly: Source and physically assemble multi-sensor arrays, networking infrastructure, and edge compute kits, managing logistics for timely deployment.
- Robustness Testing: Design and execute stress tests on hardware configurations to ensure reliable operation across varied laboratory conditions.
- Customer Field Deployment: Own end-to-end installation and setup at customer sites, solving site-specific infrastructure challenges to get sensors live and data flowing.
- Scientific Problem Solving: Partner with customer scientists to understand workflows and design bespoke sensor placements or solutions tailored to their experiments.
- Internal Synthesis: Translate field observations and customer feedback into structured requirements for Hardware, Software, Perception, and AI/ML teams.
- Customer Success: Ensure realized value post-deployment by triaging hardware/software issues and surfacing quick-win opportunities through platform data insights.
You are high-agency, biased toward action, and comfortable in ambiguity. You move quickly without being careless, ask the right questions, and make reasonable assumptions when perfect information isn't available. You communicate clearly and directly, close loops early, and care deeply about the mission. You have experience managing physical hardware and networking installations in complex environments.
The role is in-person in Cambridge, MA, with significant travel nationwide (up to 30%). Transfyr is backed by a $25M seed round and collaborates with leading frontier AI labs. Advisors include Chris Ré (Stanford), David Baker (Nobel laureate), Kevin Weil (fmr CPO at OpenAI), and others.
