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Computer security • berkeley ca
- Promoted
Application Engineer – Computer Vision
EchoTwin AI, Inc.San Francisco, CA, United States- Promoted
Security
TradeJobsWorkforce94125 San Francisco, CA, USComputer 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 States- Promoted
Security engineer, enterprise security
Jobright.aiSan Francisco, California, United StatesSr. Security Engineer, Kuiper Security, Kuiper Security
San Francisco StaffingSan Francisco, CA, United StatesComputer Systems Analyst
Tata Consultancy ServicesAlbany, CA- Promoted
Software Engineer, Computer-Using Agent
OpenaiSan Francisco, California, United Statestutor - Computer Programming
BUKIOakland, CA, US- Promoted
Computer Programmer
TradeJobsWorkForce94188 San Francisco, CA, USComputer Repair Technician
CellairisBerkeley, CaliforniaSr. Computer Vision (CV) Engineer
OpenSpaceSan Francisco, CA, US- Promoted
Research Engineer - Computer Vision ML
SesameSan Francisco, CA, United States- Promoted
Security Engineer, Application Security
OpenAISan Francisco, CA, United StatesCOMPUTER SCIENCE
Santa Rosa Junior CollegeSonoma County, CA- Promoted
Computer-Aided Manufacturing Engineer
VirtualVocationsOakland, California, United States- Promoted
Research Engineer - Computer Vision ML
SESAMESan Francisco, CA, United StatesThe average salary range is between $ 48,225 and $ 69,593 year , with the average salary hovering around $ 50,700 year .
- 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)
- Lee's Summit, MO (from $ 100,000 to $ 234,900 year)
- Sioux Falls, SD (from $ 135,000 to $ 216,200 year)
- Saint Paul, MN (from $ 100,000 to $ 203,040 year)
- Springfield, MA (from $ 125,550 to $ 202,500 year)
- Springfield, MO (from $ 125,550 to $ 202,500 year)
- Sterling Heights, MI (from $ 60,500 to $ 192,000 year)
- Alexandria, VA (from $ 118,079 to $ 184,415 year)
- High Point, NC (from $ 90,367 to $ 182,795 year)
- Dallas, TX (from $ 80,475 to $ 180,000 year)
- Garland, TX (from $ 120,000 to $ 180,000 year)
The average salary range is between $ 51,931 and $ 150,334 year , with the average salary hovering around $ 100,000 year .
Related searches
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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