Senior Staff Engineer (, MD, United States)

Senior Staff Engineer

100% onsite - Columbia, MD

Job Description

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, deep understanding of algorithms, and experience with software production development, CI/CD pipelines, GitHub workflows, and rigorous testing practices.

Key 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, grounding them in 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

• Master’s or PhD in Computer Science, Electrical Engineering, or a related field.
• Minimum 5 years of software development experience focused on AI/ML and signal processing.
• Proficiency in Python, MATLAB, and at least one additional language (e.g., C, C++).
• Deep understanding of ML algorithms, including reinforcement learning, with hands‑on experience implementing or customizing frameworks.
• Experience with ML frameworks such as TensorFlow, PyTorch, scikit‑learn, LIBSVM.
• Strong background in digital signal processing 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 of models.
• Extensive experience with CI/CD pipelines, GitHub 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.
• Minimum 6 years of hands‑on experience in ML/AI development.
• Technical leadership: currently hold a Senior Staff Engineer role in ML/AI development or a Staff Engineer position with at least 1 year of experience in that role.

Preferred Qualifications

• 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.

Benefits

• Annual pay range: $134,500 – $185,000; bonus opportunities and commission pay.
• Full range of elective benefits: medical, health savings account, dental, vision, health and/or dependent care flexible spending accounts, pre‑tax commuter benefits, life insurance, AD&D, pet insurance.
• Additional benefits: company‑paid life insurance, AD&D, LTD, short‑term medical benefits, paid sick time, paid holidays, accrued paid vacation.

Equal Opportunity Statement

Renesas Electronics is an equal‑opportunity and affirmative‑action employer, committed to celebrating diversity and fostering a discrimination‑free workplace in accordance with federal, state, and local law.