---
title: 'Prognostics Engineer at EchoTwin AI'
canonical: 'https://feeny.ai/job/prognostics-engineer-echotwin-ai-san-francisco-0e8wjgp967am'
type: 'job'
last_seen: '2026-09-11'
---

# Prognostics Engineer at EchoTwin AI

- **Company:** EchoTwin AI
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-09-06
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/echotwin/ee1bc5a3-387c-420b-b45b-bc383dcf2b51

## Job description

Company Overview EchoTwin AI is pioneering AI-driven infrastructure intelligence, redefining how cities are managed. Powered by a proprietary visual intelligence engine with full spatial reasoning, EchoTwin transforms municipal fleets into mobile urban sensors—creating living digital twins that provide real-time insights into infrastructure, compliance, and safety. By enabling municipalities to proactively monitor, predict, and resolve issues, EchoTwin helps build resilient, self-healing, and sustainable urban ecosystems. 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.

## What You’ll Do

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. You will use advanced analytics to predict potential failures, detect anomalies, and recommend proactive interventions, contributing to safer and more resilient cities.

## Key Responsibilities

- 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.
- Analyze large datasets from smart city assets to identify patterns, anomalies, and emerging issues, enabling early detection and resolution.
- Integrate prognostic tools with existing monitoring platforms, including issue tracking systems, to automate alerts, reporting, and decision-making processes.
- 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.
- Conduct simulations and validation tests to ensure the accuracy and reliability of prognostic predictions in diverse urban scenarios.
- 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.
- Support compliance with regulatory standards for data privacy, safety, and environmental impact in smart city operations.

## Qualifications

- Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Computer Science, Data Science, or a related field. A PhD is a plus.
- 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.
- Strong knowledge of machine learning techniques (e.g., regression, neural networks, time-series forecasting) and statistical methods for prognostics.
- 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.
- Strong communication skills to convey technical concepts to non-technical stakeholders.
- Experience in urban asset monitoring, such as traffic systems, energy grids, or public safety infrastructure.
- Certification in relevant areas (e.g., Certified Reliability Engineer, Machine Learning Specialist).
- Knowledge of cloud platforms (e.g., AWS, Azure) for deploying scalable prognostic solutions.
- 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!

- 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)
- 401(k) with 3% company matching
- Unlimited PTO
- Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

Life at EchoTwin AI If you want to empower the world’s most important cities—and the institutions that run them—you belong here. At EchoTwin AI, we value excellence regardless of background and are committed to building a team that reflects the communities we serve.

EchoTwin AI is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.

## About EchoTwin AI

## Company Overview
- **One-liner**: EchoTwin AI builds a Physical AI operating system for cities, turning municipal fleets and infrastructure into intelligent, self-aware urban networks.
- **Entity Type**: Private (Seed stage, $25M total funding)
- **Headquarters**: Boca Raton, Florida, United States (also offices in San Francisco, New York, Dubai, Abu Dhabi, Riyadh, Doha)
- **Founded**: 2024
- **Founders**: Chris Carson (Founder & CEO)

## Core Business
- **Primary industry**: Urban AI / Smart City Infrastructure / Computer Vision
- **Target customers**: Municipal governments, city authorities, urban planning departments (B2G/B2B)
- **Mission**: To enhance urban safety, sustainability, and resilience through AI and geospatial intelligence, enabling self-healing cities that can see, understand, and respond in real time.

## Products & Services
- **[CityView](https://www.echotwin.ai/)**: A vision-language model (VLM) purpose-built for cities. It interprets complex visual and textual data to detect infrastructure issues, compliance violations, and hazards in real time. Deployed via edge devices on vehicles, drones, and autonomous systems.
- **[EchoTwin Platform](https://www.echotwin.ai/)**: A vertically integrated edge-to-cloud platform that ingests data from municipal sensors, runs AI analytics (predictive, diagnostic, geospatial), and provides dashboards, APIs, and automated workflows for city operators.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private)
- **Key Metric**: $25M total funding (two seed rounds: $17M led by Metis Ventures in Feb 2025, $8M in Sep 2025)
- **Notable Investors/Partners**: Metis Ventures (lead), plus 6 other investors per Seed round; partnerships with pioneering cities (e.g., NEOM, Dubai 2040, Paris 2050 initiatives)
- **Growth Signals**: 106.7% headcount growth YoY (28 employees); 2,368 LinkedIn followers (+223% yearly); active job postings (9 open roles); presence in 5 countries (US, Serbia, UAE, Greece, Portugal)

## Competitive Advantages
- **Proprietary CityView VLM**: A specialized vision-language model trained on urban contexts, providing human-level perception for infrastructure monitoring.
- **Edge-to-cloud architecture**: Real-time processing on vehicles/drones reduces latency and bandwidth needs, enabling autonomous corrective actions.
- **Regulatory compliance & ethics**: Adheres to NIST AI Risk Management Framework, ETSI EN 303 645 cybersecurity standard, GDPR, and ISO/IEC 27701 – a key trust differentiator for government contracts.
- **Self-healing city concept**: Moves beyond detection to automated remediation via agentic workflows, offering a proactive vs. reactive urban management model.

## Strategic Focus
- **Global expansion**: Targeting smart city initiatives in North America, Middle East, Europe, and Asia (NEOM, Dubai 2040, Paris 2050).
- **Product development**: Advancing CityView capabilities (geospatial reasoning, anomaly detection, predictive analytics) and expanding API/SDK ecosystem.
- **Scaling deployments**: Converting municipal fleets into mobile sensing networks and integrating with third-party urban systems.

## Why Work Here
- **Mission-driven impact**: Work on tangible urban challenges (safety, sustainability, resilience) with real-world outcomes.
- **Global, distributed team**: Offices in San Francisco, New York, Dubai, and remote-friendly roles; culture of collaboration and mutual empowerment.
- **Engineering focus**: 35% of staff in technical roles (CV, VLM, firmware, data science); cutting-edge stack (computer vision, LLMs, edge computing).
- **Growth trajectory**: Early-stage (founded 2024) with rapid headcount growth and $25M funding – opportunity to shape product and culture.
- **Perks & culture**: Emphasis on responsible AI, ethical practices, and a tight-knit, nimble team. Some roles are in-office (San Francisco, New York, Dubai) while others offer remote flexibility.

## Sources
1. [EchoTwin AI Website](https://www.echotwin.ai/)
2. [EchoTwin AI About Page](https://www.echotwin.ai/about)
3. [EchoTwin AI Careers Page](https://www.echotwin.ai/careers)
4. [EchoTwin AI LinkedIn](https://www.linkedin.com/company/echotwinai)
5. [EchoTwin AI on Built In](https://builtin.com/company/echotwin-ai)
6. [EchoTwin AI Job Board (Ashby)](https://jobs.ashbyhq.com/echotwin)

## Other roles at EchoTwin AI

- [Vision Language Model Engineer](https://feeny.ai/job/vision-language-model-engineer-echotwin-ai-san-francisco-fkagxqaz332s) — San Francisco, CA
- [3D Perception Engineer - SLAM with Mono Cameras](https://feeny.ai/job/3d-perception-engineer-slam-with-mono-cameras-echotwin-ai-san-francisco-n76t1fcdm16w) — San Francisco, CA
- [Application Engineer – Computer Vision](https://feeny.ai/job/application-engineer-computer-vision-echotwin-ai-san-francisco-ynzgx65r8s3e) — San Francisco, CA
- [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-echotwin-ai-san-francisco-zvshw5yzs5gr) — San Francisco, CA
- [Machine Learning Engineer](https://feeny.ai/job/machine-learning-engineer-echotwin-ai-belgrade-vgc9tqcgzb4n) — Belgrade, Serbia
- [Client Implementation Project Manager](https://feeny.ai/job/client-implementation-project-manager-echotwin-ai-dubai-ffx4rjwvcdy2) — Dubai, United Arab Emirates
- [Software Engineer, Backend Developer](https://feeny.ai/job/software-engineer-backend-developer-echotwin-ai-belgrade-5yh4pwwmcdsr) — Belgrade, Serbia
- [Senior Security Engineer](https://feeny.ai/job/senior-security-engineer-echotwin-ai-san-francisco-2tvmanh1s4zs) — San Francisco, CA
- [Senior Technical Program Manager](https://feeny.ai/job/senior-technical-program-manager-echotwin-ai-san-francisco-qbtv703bm0de) — San Francisco, CA
- [Senior Product Manager](https://feeny.ai/job/senior-product-manager-echotwin-ai-san-francisco-6ssr7eyvt5yj) — San Francisco, CA