EdgeTrace makes video data easily accessible and actionable for critical industries. We provide a platform and API for advanced video capabilities, such as semantic search, automated annotations & analytics.

About Us

EdgeTrace is at the forefront of AI-powered video retrieval and analytics. We're revolutionizing the $25B+ market with innovative approaches to video understanding and persistent memory context systems. As a startup with ambitious goals, we're looking for exceptional talent to join our founding team.

Job Description

We’re looking for an exceptional Founding Engineer to join edgetrace and shape the future of AI-driven video understanding. The ideal candidate will have a strong background in Computer Vision and Video Engineering, with expertise in cutting-edge video understanding techniques. As a founding engineer, you will play a pivotal role in developing our core technology and setting the technical direction for our products.

Key Responsibilities

- Lead the development of scalable video processing and inference pipelines

- Architect, develop, and optimize models for video analysis, retrieval, and contextual understanding tasks.

- Collaborate closely with the founding team to define product strategy and technical roadmap

- Drive innovation through novel approaches to dataset sourcing, augmentation, labeling, and model training.

Required Qualifications

- Strong proficiency in Python and/or C++

- Extensive experience developing, training, and deploying Computer Vision models, particularly using PyTorch

- Deep understanding of modern deep learning architectures for video and image analysis (e.g., Transformers, CNNs)

- Proven track record of implementing and improving upon cutting-edge computer vision

- Experience with common video processing libraries and tools (e.g., FFmpeg, OpenCV, etc)

- Solid understanding of machine learning operations (MLOps) and model deployment strategies

Preferred Qualifications

- Familiarity with ONNX, OpenVINO, TorchScript, or TensorRT for model optimization and efficient inference

- Familiarity with cloud computing platforms (AWS, GCP, or Azure) for large-scale data processing and model training

- Knowledge of video codecs, streaming protocols, and related technologies

- Experience with distributed computing frameworks for large-scale data processing (e.g., Apache Spark)

- Contributions to open-source projects or research publications in relevant fields

Benefits

- Competitive salary & equity package

- Health, dental, and vision insurance

- Work on-site in a collaborative and innovative work environment with a world-class team

If you're passionate about pushing the boundaries of AI and video technology, and you're excited about the challenge of building groundbreaking products from the ground up, we want to hear from you. Join edgetrace and be part of shaping the future of video understanding and analytics!

FastAPI PyTorch React / Typescript / Chakra / Tailwind