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Primary Responsibilities:

  • Build and enhance backend and frontend to interface with our biosensor platform (web and desktop).

  • Analyze, design, develop and debug backend software for interfacing and automation of hardware. This is done primarily using Django at the backend.

  • Build new user-facing features that include analytics, charts and data visualization.

Qualifications and Desired Skills:

  • B.S/M.S in Computer Science, Information Technology, Electrical Engineering or related. field, or equivalent professional experience.

  • Extensive experience with programming in Python, Django, Nginx, and docker

  • Expert in structuring and designing relational databases using Postgresql. Expertise with other database platforms (e.g. SQL, NoSQL etc.) is a plus.

  • Additional scripting and programming using the following: Javascript, Node.js, npm, react.js or angular is a plus.

  • Experience with creating frameworks to extract data via APIs. Prior experience with or understanding of WebSockets or REST (or designing APIs) highly desirable.

  • Must be comfortable switching and combining development environments, standards, and code bases quickly and effectively.

  • Proficient at creating self-contained, reusable, and testable modules and components.

  • Writing automated tests to verify expected behavior.

  • Experience with quickly cleaning, analyzing and making sense of medium-sized, complex data sets.


Primary Responsibilities

  • Design process flows for integration of digital microfluidics onto active semiconductor device platforms - that includes development and execution Standard Operating Procedures (SOPs) for device fabrication and testing.

  • Lead the fabrication effort particularly focussed on incorporating microfabrication processes, novel materials and devices into a digital microfluidic platform.

  • Develop new processing techniques to produce novel biosensor platforms. This position involves significant hands on work in a cleanroom and a wet lab - working with a range of materials.

  • Knowledge of experimental design is a critical skill, especially for design of short loop experiments to quickly validate process flows.

  • Post fabrication and packaging of microfluidics and semiconductor devices.

  • Perform experiments to support product development, troubleshooting and QC.

  • Collaborate with external partners for process transfer aimed at manufacturing of consumable cartridges.

  • Design and model device physics to predict and understand device response.

Qualifications and Desired Skills:

  • M.S./PhD in Mechanical Engineering, Materials Science, Electrical Engineering or other related degree concentration, with 3 years of experience working with digital microfluidic platforms including developing process flows and hands-on fabrication experience in a clean room is required.

  • Working experience with digital microfluidics for developing assay is required.

  • Electrical testing and characterization experience with semiconductor devices and microfluidics is required.

  • Programming using Python, C/C++ is preferred.

  • Knowledge of semiconductor physics, materials and processing is preferred. You will play in a significant role in the process integration into semiconductor devices

  • Fabrication experience thin film metallization and dielectric deposition, photolithography, 3D chip stacking, wire-bonding, laser machining, dry and wet etching, wafer bonding (anodic, fusion, etc.) and wafer polishing is preferred.

  • Fabrication experience with compound semiconductor materials and devices along with knowledge of working with polymer materials such as PDMS, COC etc. is required.

  • Characterization using thin film metrology, surface profilers, SEM, EDS, XPS and FTIR is preferred.

  • Experience with surface chemistry, surface functionalization and biochemical assays is a plus.

  • Clean room experience at the Berkeley Marvell Nanofabrication laboratory is a significant plus.

  • Extensive experience in developing, building, and applying novel microfluidic solutions.

  • Comfortable with rapid prototyping and injection molding.

  • Experience with SolidWorks or other CAD design software is a plus.

  • Mask Layout experience using L-Edit is a plus.