Senior Staff Engineer

Job Description

100% onsite – Columbia, MD
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 not only proficiency in machine learning frameworks but also 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, Git Hub workflows, and rigorous testing practices.

• 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, Git Hub 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.

• Education:
  
  Master’s or PhD in Computer Science, Electrical Engineering, or related field.
• Experience:
  
  Minimum 5 years in software development with a focus on AI/ML and signal processing.
• Proficiency in Python, MATLAB, and at least one other language (e.g., C, C++).
• Deep understanding of ML algorithms, reinforcement learning and practical experience implementing them from scratch or customizing existing frameworks.
• Experience with ML frameworks (e.g., Tensor Flow, PyTorch, scikit‑learn, LIBSVM).
• Strong background in digital signal processing (DSP) for audio and time‑series data.
• Hands‑on experience with sensor data (e.g., accelerometers, motor control systems).
• Experience working with customer datasets, including debugging and preprocessing.
• Proven ability to optimize performance and size.
• Extensive experience with CI/CD pipelines, Git Hub version control, and automated testing.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Strong understanding of software engineering best practices and agile development.

• Experience with edge computing or embedded systems.
• Knowledge of real‑time systems and latency optimization.
• Contributions to open‑source projects or published research in AI/signal processing.

The expected annual pay range for this position is $134,500 – $185,000. This position is also eligible for bonus opportunities and commission pay.

Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law.