DSP Engineer

Required Qualifications (Must-Haves)

• Strong background in digital signal processing.
• Proficiency in Python (NumPy, SciPy, Pandas; plotting with Matplotlib/Plotly) and MATLAB.
• Excellent mathematical skills (linear algebra, probability, statistics, optimization).
• Fluent in English (written and spoken).
• BS/MS in Electrical Engineering, Applied Math, Computer Engineering, Physics, or related.
• Proven experience shipping DSP solutions from prototype to production (include portfolio, code samples, or publications if available).

Preferred Qualifications (Nice-To-Haves)

• Domain: seismic/microseismic/DAS, downhole telemetry, rotating equipment vibration, acoustics, or industrial process signals.
• Array processing (beamforming, DOA), compressive sensing, sparse recovery, de-noising/de-blending.
• Real-time systems: streaming frameworks (Kafka/Kinesis), edge inference (NVIDIA Jetson/industrial PCs), OPC UA/Modbus.
• Performance: numba/Cython, C/C++ extensions, GPU acceleration (CuPy), or FPGA/DSP SoCs exposure.
• MLOps/Data: model serving (FastAPI, TorchScript/ONNX), containers (Docker), cloud (AWS/Azure), time-series storage (InfluxDB, Timescale, OpenSearch), and Git-based CI/CD.
• Experiment design and statistical process control in industrial environments.
• Safety-critical or regulated operations experience