We are looking for a Python-focused software engineer to build and enhance our existing APIs and integrations with the Scientific Python ecosystem. TileDB’s Python API builds on the TileDB C++ library, and integrates closely with NumPy to provide zero-copy data access. You will enhance and release the TileDB-Py API; help to maintain the TileDB Cloud Python API; build new integrations with data science, scientific, and machine learning libraries; and engage with the community and customers to create value through the use of TileDB.

Location

Our headquarters are in Cambridge, MA, USA and we have a subsidiary in Athens, Greece. However, you will have the flexibility to work remotely (GMT -7 to GMT +3) as long as your legal residence is in the USA or Greece.

Expectations

In your first 30 days, you will familiarize yourself with TileDB, the TileDB-Py API, and the TileDB Cloud platform. After 30 days, you will be fully integrated in our team. You’ll be an active contributor and maintainer of the TileDB-Py project, and ready to start designing and implementing new features, as well as engaging with the Python and Data Science community.

Requirements

• 5+ years of experience as a software engineer, or strong evidence of prior independent work (e.g. open source contributions)
• Expertise in Python and experience with NumPy
• Experience with C++
• Significant experience with foreign function interface calls to C or C++, ideally from Python
• Experience with Python packaging, including compiled binary distribution using conda or wheels

Any of the following skills would be highly desirable but not required:

• Experience with Python FFI/binding technology, such as pybind11 (preferred), cython, SWIG, ctypes, or bare CPython API
• Experience with C, Rust, Swift, or another system-level language
• Experience with distributed computation (e.g. Dask, Spark, Airflow, MPI, Argo, or similar)
• Experience with machine learning libraries (e.g. scikit-learn, TensorFlow, Keras, PyTorch)
• Experience with Amazon Web Services or other cloud platforms (Azure, Google Cloud)
• Experience with dataframe-focused systems (e.g. Arrow, Pandas, data.frame, Polars)
• Experience with technical data formats such as (e.g. Parquet, HDF5, VCF, DICOM, GeoTIFF)
• Experience with other technical computing systems (e.g. R, MATLAB, Julia)



Benefits

• Competitive salary and stock options
• 100% medical and dental insurance coverage (for you and your dependents!)
• Paid parental leave
• Paid time off (vacation, sick & public holidays)
• Flexible time off & flexible hours
• Flexibility to work remotely (anywhere in the US or Greece)

Interview Process

One hour coding test, which may be waived based on level of experience or open source contributions; 30 minute intro and technical screening call with hiring manager; 1-2 calls 30-60 minute calls with potential team members; intro call with CEO or CTO.