EchoTwin AI
Prognostics Engineer
San Francisco Office · Staff+
Sponsorship not specifiedDetected 319 days ago
PythonAlgorithmsAWSAzureCloud PlatformsMachine LearningTensorFlowscikit-learnPandasNumPySparkData AnalysisData ScienceComputer VisionForecastingANSYSMechanical DesignElectrical EngineeringSimulinkCommunicationProblem SolvingPublic Speaking
About the role
- Company Overview EchoTwin AI is pioneering AI-driven infrastructure intelligence, redefining how cities are managed.
- More than "smart cities," EchoTwin is advancing the era of cognizant cities-urban environments with the awareness to see, think, and act on challenges in real time.
- You will use advanced analytics to predict potential failures, detect anomalies, and recommend proactive interventions, contributing to safer and more resilient cities.
Responsibilities
- The Prognostics Engineer will design, implement, and refine prognostic systems for monitoring smart city assets such as street signs, road conditions, transportation networks, utilities, and public facilities.
- Develop and deploy prognostic models and algorithms to forecast asset degradation, failures, and maintenance needs using data from edge computing devices, historical records, and real-time streams.
- Collaborate with cross-functional teams (e.g., data scientists, software engineers, urban planners, and operations staff) to refine models based on feedback and real-world performance.
- Support compliance with regulatory standards for data privacy, safety, and environmental impact in smart city operations.
- By enabling municipalities to proactively monitor, predict, and resolve issues, EchoTwin helps build resilient, self-healing, and sustainable urban ecosystems.
- At EchoTwin AI, we value excellence regardless of background and are committed to building a team that reflects the communities we serve.
Requirements
- 3+ years of experience in prognostics, predictive maintenance, or reliability engineering, preferably in IoT or smart infrastructure environments.
- Proficiency in programming languages such as Python, R or Matlabfor data analysis, modeling, and algorithm development.
- Experience with data processing tools and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow) and big data platforms (e.g., Hadoop, Spark).
- Familiarity with smart city technologies, including sensor networks, edge computing, and asset management software.
- Excellent problem-solving skills with the ability to handle complex, ambiguous data sets and derive actionable insights.
- Experience in urban asset monitoring, such as traffic systems, energy grids, or public safety infrastructure.
- Knowledge of cloud platforms (e.g., AWS, Azure) for deploying scalable prognostic solutions.
- Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Computer Science, Data Science, or a related field. A PhD is a plus.
- Strong knowledge of machine learning techniques (e.g., regression, neural networks, time-series forecasting) and statistical methods for prognostics.
- Strong communication skills to convey technical concepts to non-technical stakeholders.
- Certification in relevant areas (e.g., Certified Reliability Engineer, Machine Learning Specialist).
- Prior work with simulation software (e.g., ANSYS, Simulink) for asset health modeling.
- Benefits and Perks
- There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!
Nice to have
- Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Computer Science, Data Science, or a related field.
- A PhD is a plus.
Benefits
- Options for medical, dental, and vision coverage for employees and dependents (for US employees)
- Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
- Profit sharing
- Stay abreast of industry advancements in prognostics, machine learning, and smart city technologies, and recommend innovations to enhance system capabilities.
- Prepare technical documentation, reports, and presentations on prognostic findings, asset health metrics, and improvement strategies.
Equal opportunity
- Equal Opportunity Employer.
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