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Computer programming • berkeley ca
- Promoted
Application Engineer – Computer Vision
EchoTwin AI, Inc.San Francisco, CA, United StatesManager, Content & Programming
GondolaSan Francisco, CA, United StatesComputer Vision Engineer
SQA SolutionSan Francisco, CA, USSenior Manager, Computer Vision
SamsaraSan Francisco, California, USA- Promoted
Computer Vision Applied Scientist
Pano AI, Inc.San Francisco, CA, United States- Promoted
Senior Engineering Manager, Computer Vision
Menlo VenturesSan Francisco, CA, United StatesComputer Engineer III
VirtualVocationsOakland, California, United StatesComputer Repair Technician
CellairisAlameda, CaliforniaComputer Systems Analyst
Tata Consultancy ServicesAlbany, CA- Promoted
Computer Information Systems Manager (Remote)
Keller Executive SearchOakland, CA, UStutor - Computer Programming
BUKISan Francisco, CA, US- Promoted
Director, Statistical Programming Standards & Infrastructure
Exelixis, Inc.Alameda, CA, United States- Promoted
New York Events & Programming Lead
GeoPolistSan Francisco, CA, United States- Promoted
Computer Programmer
TradeJobsWorkForce94188 San Francisco, CA, USProgramming Manager
University of the PacificSan Francisco, US- Promoted
Research Engineer - Computer Vision ML
SesameSan Francisco, CA, United StatesAssociate Clinical Programming Director
ExelixisAlameda, CA, United StatesCOMPUTER SCIENCE
Santa Rosa Junior CollegeSonoma County, CAAssociate - Audiovisual (UI Programming)
TEECOMSan Francisco, CA, United States- software development manager (from $ 220,000 to $ 273,000 year)
- nuclear medicine (from $ 153,470 to $ 250,984 year)
- veterinarian (from $ 115,000 to $ 250,000 year)
- python developer (from $ 135,000 to $ 244,125 year)
- office administrative assistant (from $ 47,840 to $ 243,900 year)
- vp of engineering (from $ 68,428 to $ 237,500 year)
- embedded systems engineer (from $ 133,875 to $ 222,134 year)
- product director (from $ 157,500 to $ 220,750 year)
- applications engineer (from $ 149,709 to $ 218,500 year)
- startup (from $ 136,250 to $ 216,250 year)
- Los Angeles, CA (from $ 53,786 to $ 180,763 year)
- Providence, RI (from $ 86,526 to $ 171,600 year)
- Pompano Beach, FL (from $ 31,200 to $ 135,971 year)
- Long Beach, CA (from $ 31,200 to $ 135,971 year)
- Huntington Beach, CA (from $ 31,200 to $ 135,971 year)
- Coral Springs, FL (from $ 22,800 to $ 135,500 year)
- Austin, TX (from $ 53,625 to $ 135,500 year)
- Virginia Beach, VA (from $ 31,200 to $ 133,799 year)
- St Petersburg, FL (from $ 23,400 to $ 132,600 year)
- St Louis, MO (from $ 23,400 to $ 132,600 year)
The average salary range is between $ 48,417 and $ 106,314 year , with the average salary hovering around $ 61,564 year .
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Application Engineer – Computer Vision
EchoTwin AI, Inc.San Francisco, CA, United States- Full-time
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.
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