PHM Monitor Development Contractor

Job Title: PHM Monitor Development Contractor

Overview:
Are you a seasoned Prognostics & Health Monitoring (PHM) Engineer passionate about advancing autonomous vehicle technology? We are seeking a dynamic and highly skilled contractor to lead the design, development, and deployment of sophisticated offline health monitoring algorithms and prognostic models tailored for a fleet of cutting-edge autonomous vehicles. This role plays a critical part in enabling proactive maintenance, reducing downtime, and ensuring optimal performance of our hardware components through innovative data-driven solutions. If you thrive in a collaborative environment and excel at transforming complex telemetry data into actionable insights, this opportunity is for you!

Required Skills:

• Bachelor’s Degree in Mechanical Engineering, Electrical Engineering, Data Science, or a related field
• 3+ years of specialized experience in Prognostics and Health Management (PHM), predictive maintenance, or reliability engineering
• Strong proficiency in Python and PySpark for large-scale data manipulation and feature engineering
• Hands-on experience with Databricks platform for development, deployment, and dashboard creation
• Experience deploying workflows with tools like Apache Airflow DAGs and version control systems such as Git
• Deep understanding of anomaly detection, time-series forecasting, survival analysis, and ML frameworks (scikit-learn, TensorFlow, PyTorch)
• Skilled in signal processing techniques including FFT, wavelet transforms, and filtering applied to sensor data
• Proven ability to perform large-scale ETL processes, data cleaning, and feature extraction from raw telemetry
• Experience in developing production-grade deployment pipelines and fleet result dashboards
• Knowledge of hardware failure modes, fatigue, degradation models, and FMEA/FMECA methodologies

Nice to Have Skills:

• Prior experience within the Automotive or Aerospace sectors
• Familiarity with deploying batch-processing or offline analytical scripts utilizing Docker, AWS, GCP, or similar cloud infrastructure
• Large-scale data storage and querying experience (SQL, Databricks, Spark)
• Master’s or Ph.D. in relevant engineering or data science disciplines

Preferred Education and Experience:

• Master’s or Ph.D. in Mechanical Engineering, Electrical Engineering, Data Science, or related fields
• 3+ years of focused experience in PHM, predictive maintenance, or reliability engineering

Other Requirements:

• Location: Foster City, CA (onsite; remote work not specified)
• Contract duration: 6+ months, with an immediate start preferred
• W2 employment only; no C2C arrangements
• Must be able to work independently and communicate technical findings clearly
• Willingness to rigorously back-test models and ensure reliable deployment practices

DeWinter Group and Maris Consulting is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We post pay scales which are based on our client pay ranges. DeWinter, Maris, and our clients have the right to modify the requirements of the role which can impact the pay ranges posted.