Senior Staff Engineer

100% onsite - Columbia, MD

Overview

We are seeking a highly skilled and hands-on Senior Staff Engineer to lead development efforts in AI, MLOps, and signal processing, with a strong emphasis on deploying intelligent systems on microcontrollers and working directly with customer data. This role demands proficiency in machine learning frameworks and a deep understanding of the underlying algorithms and their practical application to real-world sensor data. The ideal candidate will also bring extensive experience in software production development, including CI / CD pipelines, GitHub workflows, and rigorous testing practices.

Responsibilities

• Architect, develop, and maintain scalable ML product codebases with production-grade quality.
• Lead MLOps strategy including model deployment, monitoring, and lifecycle management.
• Apply advanced signal processing techniques to one-dimensional sensor data (e.g., audio, motor control, accelerometers).
• Collaborate with customers to ingest, debug, and analyze their data for model development and validation.
• Design and implement machine learning models tailored to time-series and sensor data, with a strong grasp of algorithmic foundations (e.g., SVM, decision trees, neural networks, reinforcement learning).
• Optimize and deploy ML models on microcontrollers (MCUs) and embedded platforms.
• Develop smaller, faster models suitable for edge deployment.
• Implement and maintain CI / CD pipelines, GitHub workflows, and automated testing frameworks.
• Write and maintain unit tests, integration tests, and documentation to ensure code quality and reliability.
• Assemble hardware setups (e.g., sensor arrays, embedded boards) and collect data from real-world environments to support model development and validation.
• Mentor junior engineers and contribute to technical leadership across teams.
• Stay current with emerging technologies in AI, embedded ML, and signal processing.

Qualifications

Preferred Qualifications

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