Join Our Innovative Team as a PHM Monitor Development Engineer
Are you passionate about advancing autonomous vehicle technology through cutting-edge prognostics and health monitoring? We are seeking a talented PHM Monitor Development Engineer to design and deploy sophisticated offline health monitoring algorithms that will directly impact the safety, reliability, and maintenance efficiency of autonomous fleets. This is an exciting opportunity to work at the forefront of AI-driven vehicle diagnostics, enabling predictive maintenance and enhancing operational decision-making.
Key Responsibilities:
- Define technical requirements and develop prognostic models to predict hardware failures and estimate Remaining Useful Life (RUL).
- Design and implement offline diagnostic algorithms utilizing batch telemetry, sensor logs, and maintenance data.
- Perform large-scale data extraction, feature engineering, and model training using PySpark on Databricks.
- Engineer, package, and deploy models within robust pipelines while creating intuitive dashboards for fleet monitoring.
- Develop alerting strategies, perform rigorous back-testing, and ensure high model accuracy with minimal false positives.
- Deliver comprehensive technical documentation to facilitate smooth handovers and future enhancements.
Required Skills:
- BS in Mechanical, Electrical Engineering, Data Science, or a related field.
- 3+ years of hands-on experience in Prognostics & Health Management, predictive maintenance, or reliability engineering.
- Proficiency in Python, PySpark, and experience with Databricks platform.
- Strong knowledge of time-series analysis, anomaly detection, survival analysis, and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Expertise in signal processing techniques including FFT, wavelet transforms, and filtering.
- Experience deploying analytical workflows with tools like Docker, Apache Airflow, or cloud data pipelines.
- Familiarity with hardware degradation models, FMEA/FMECA, and telemetry data integration.
- Proficient in version control and data manipulation at scale.
Nice to Have Skills:
- Previous experience in the Automotive or Aerospace sectors.
- Knowledge of large-scale data storage and querying (SQL, Spark).
- Advanced degrees (Master’s or Ph.D.) in Engineering or Data Science.
- Experience working on autonomous vehicle or robotics projects.
Preferred Education & Experience:
- Bachelor’s degree in Mechanical, Electrical Engineering, Data Science, or related technical discipline.
- 3+ years focused on developing predictive models for complex hardware systems.
- Direct experience with backend algorithm development and deployment in high-tech environments.
Additional Requirements:
- This is a remote-friendly role but may require on-site visits in Foster City, CA.
- Ability to communicate complex data insights clearly to technical and non-technical stakeholders.
- Strong problem-solving skills with a focus on accuracy and attention to detail.
- Self-motivated with the ability to work independently in a fast-paced setting.
Elevate your career by contributing to groundbreaking autonomous vehicle technology that sets new standards for safety and efficiency. Join us in shaping the future of mobility.
