
Pumpkinseed enables light-speed reads of biological bits. We merge the power of silicon photonics and machine learning with state-of-the-art biochemistry for high-resolution protein sequencing.…

Pumpkinseed enables light-speed reads of biological bits. We merge the power of silicon photonics and machine learning with state-of-the-art biochemistry for high-resolution protein sequencing.…
Location: Palo Alto, CA
Technology: deSIPHR nanophotonic chip platform using Raman spectroscopy for single-molecule, de novo protein sequencing
Latest funding: $20M Series A (announced May 5, 2026)
Founders: Jennifer (Jen) Dionne; Dr. Jack Hu; Dr. Nhat Vu
Employee count: 15
Protein sequencing and proteomics — enabling de novo, single-molecule characterization of proteins (sequence, PTMs, structure, interactions) for applications in biopharma, biosecurity, and bio‑AI.
2021
Biotechnology
$20M
Additional participation from Base4, ADVentures (Analog Devices CVC), and Stanford; reported committed near-term revenue from contracts with Genentech, DARPA, and BARDA in press release.
“Backed by VCs including NFX and Future Ventures; participation from strategic and institutional investors (Base4, ADVentures, Stanford)”
Role:
Micro/nanofabrication process engineer
Location:
Palo Alto, CA
At Pumpkinseed we are striving to illuminate the biological function hidden in proteins. We are building a technology that merges nanophotonics, large scale semiconductor manufacturing, novel chemistries, and machine learning to decode the building blocks of life at a scale and resolution that has not been previously possible. Join us to help engineer the breakthrough that will revolutionize how we understand and optimize human health.
We are seeking highly motivated individuals who thrive in a fast-paced, creative, and interdisciplinary environment.
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Fabrication:
Fabricate micro/nanoscale devices in university cleanroom facilities and continuously drive process improvements.
Characterization:
Perform micro/nanoscale characterization (e.g., SEM, AFM, high-resolution optical microscopy, thin film metrology) to deeply understand and enhance device performance.
Integration & Testing:
Develop, optimize, and troubleshoot processes for integrating devices, rigorously testing their compatibility and performance with chemical and biological systems.
Experimentation:
Design and execute hands-on experiments with an exceptionally high level of attention to detail and data integrity.
Collaboration:
Work cross-functionally with chemists, biologists, and machine learning engineers to align hardware capabilities with broader system requirements.
Required Qualifications
Preferred Qualifications
To apply:
Please submit your resume and a brief cover letter via our application form here: https://forms.gle/ktQXawFwX5YuqGYf8