Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive-grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment. VIDAS is a fully redundant alternative to LiDAR and radar. Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.
Responsibilities:
- Design, train, and deploy state-of-the-art networks for semantic segmentation, object detection, depth estimation, SLAM, and other tasks related to 3D scene understanding.
- Help to recruit and onboard similarly-qualified engineers.
To thrive in this role you have:
- Strong foundation in machine learning.
- 3+ years of academic or professional experience in developing and implementing deep learning pipelines for images or video.
- Fluent in Python.
- Deep knowledge of PyTorch.
Nice to have but definitely not required:
- BS/MS degree in Computer Science, Computer Engineering or other relevant majors.
- 5+ years of professional software development experience with strong engineering practices.
- Familiar with C++.
- Experience with self-supervised learning techniques.
- Experience in optimizing NNs for constrained platforms (mobile or embedded).
We're looking for a great engineer to join our US team of twelve. Our mission is to teach machines to see. Our culture is based on transparency, mutual respect, mutual accountability, and valuing great ideas no matter where they come from. We already have revenue and our Series A round was led by a tier one VC. We are a remote-first company with employees across the United States. We had remote employees long before the pandemic and our team is now distributed across four states. We will ensure you have everything you need to work from home and the option to work from our office in Redwood City, CA. We also offer competitive benefits including comprehensive health care plans, 401k with matching, flexible schedules, and discretionary PTO.
Compound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position.
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What We Do
Compound Eye enables machines to understand their surroundings in 3D and in real time, using only passive sensors like cameras. Our technology gathers far more information about the environment than active sensors like lidar, for a fraction of the cost. Our mission is to bring superhuman senses to existing vehicles and to enable mass production of fully autonomous cars and other robots.
