EchoTwin AI Logo

EchoTwin AI

Application Engineer – Computer Vision

Reposted 2 Months Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
Design and deploy high-performance computer vision applications on NVIDIA Jetson platforms, optimizing algorithms and ensuring seamless integration with hardware.
The summary above was generated by AI
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

We are seeking a skilled Application Engineer to join our team, focusing on deploying and optimizing computer vision systems on NVIDIA Jetson platforms. The ideal candidate will have expertise in embedded systems, computer vision, and software development, with a passion for delivering high-performance solutions in real-world applications.

Key Responsibilities
  • System Development and Deployment: Design, develop, and deploy computer vision applications on NVIDIA Jetson platforms (e.g., Jetson Xavier, Orin, Thor).

  • Algorithm Optimization: Optimize computer vision algorithms (e.g., object detection, image segmentation, tracking) for performance, power efficiency, and real-time processing on resource-constrained devices.

  • Integration: Integrate computer vision pipelines with hardware components, sensors, and peripheral devices, ensuring seamless operation in embedded environments.

  • Software Development: Write clean, efficient, and maintainable code in Python, C++, or CUDA for computer vision tasks, leveraging NVIDIA’s JetPack SDK, DeepStream, and TensorRT.

  • Testing and Validation: Conduct rigorous testing, debugging, and validation of computer vision systems to ensure reliability, accuracy, and robustness in diverse scenarios.

  • Collaboration: Work closely with cross-functional teams, including data scientists, hardware engineers, and product managers, to align solutions with project requirements.

  • Documentation: Create detailed documentation for code, system architecture, and deployment processes to support team collaboration and future maintenance.

  • Stay Updated: Keep abreast of advancements in computer vision, embedded systems, and NVIDIA technologies to recommend innovative solutions.

Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field. A PhD is a plus.

  • 3+ years of experience in developing and deploying computer vision or machine learning applications.

  • Hands-on experience with NVIDIA Jetson platforms and associated tools (JetPack SDK, DeepStream, TensorRT).

  • Proficiency in programming languages such as Python, C++, and CUDA.

  • Experience with computer vision libraries/frameworks (e.g., OpenCV, PyTorch, TensorFlow).

  • Familiarity with Linux-based development and embedded systems.

  • Strong understanding of computer vision algorithms (e.g., CNNs, YOLO, Transformer, image processing techniques).

  • Knowledge of optimizing neural networks for edge devices (e.g., model quantization, pruning).

  • Experience with hardware-software integration, including cameras, sensors, and GPUs.

  • Excellent problem-solving and debugging skills.

  • Strong communication and teamwork abilities.

  • Familiarity with cloud-edge architectures for computer vision applications.

  • Knowledge of containerization tools (e.g., Docker) for deployment.

  • Prior work in industries such as autonomous vehicles, robotics, or IoT.

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.

EchoTwin AI San Francisco, California, USA Office

San Francisco, California, United States

Similar Jobs

14 Minutes Ago
Hybrid
United States
Mid level
Mid level
AdTech • Artificial Intelligence • Digital Media • Machine Learning • Marketing Tech • Analytics • Consulting
Identifies and researches prospective customer accounts, conducts multichannel outbound outreach, schedules discovery calls and demos, and generates qualified sales opportunities. Performs weekly agency visits and monthly market travel to build relationships and expand physical presence. Tracks prospecting activity in HubSpot, uses sales intelligence and outreach tools, supports Growth Directors through the sales funnel, collaborates cross-functionally, and curates LinkedIn content to increase visibility.
Top Skills: ApolloGoodyHubspot CrmLinkedin Sales NavigatorOutreachSalesforceWinmoZoominfo
An Hour Ago
In-Office
San Francisco, CA, USA
94K-130K Annually
Mid level
94K-130K Annually
Mid level
Fintech • Information Technology • Payments • Sharing Economy • Financial Services • Cryptocurrency
Supports payroll technology solutions by translating business needs into technical requirements, coordinating with stakeholders and technology teams, leading user acceptance testing, evaluating Workday releases, improving payroll processes, and analyzing incidents and system performance. The role also performs root cause analysis, monitors payroll outcomes, documents requirements, and recommends solutions to improve efficiency, accuracy, and compliance.
Top Skills: ExcelSoxWorkday Payroll
An Hour Ago
In-Office
30K-65K Annually
Junior
30K-65K Annually
Junior
Information Technology • Internet of Things • Mobile • On-Demand • Software
Acquires residential customers through door-to-door outreach, conducts needs analyses, recommends telecommunications products, presents sales proposals, completes sales documentation, meets monthly targets, monitors competitors, and participates in training. The role requires extensive outdoor territory work, evening and weekend availability, independent work, a driver’s license, personal vehicle, and the ability to work without employment-based immigration sponsorship.
Top Skills: Computer Operating SystemsModemsPdasRoutersSet-Top ConvertersSmartphonesSoftware ApplicationsWireless Devices

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account