Started in 2021, Coram.AI is building the best business AI video system on the market. Powered by next-generation video artificial intelligence, we deliver unprecedented insights and 10x better user experience than the incumbents of the vast but stagnant video security industry.
Our customers range from warehouses, schools, hospitals, hotels, and many more, and we are growing rapidly. We are looking for someone to join our team to help us scale our systems to meet user demand and to ship new features.
Team you will work with Founded by Ashesh (CEO) and Peter (CTO), we are serial entrepreneurs and experts in AI and robotics. Our engineering team is composed of industry experts with decades of research and experience from Lyft, Google, Zoox, Toyota, Facebook, Microsoft, Stanford, Oxford, and Cornell. Our go-to-market team consists of experienced leaders from Verkada. We are venture-backed by 8VC + Mosaic, revenue-generating, and have multiple years of runway.
Being part of our team means solving interesting problems at the intersection of user experience, machine learning, and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup.
The role Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point.
This involves:
Building edge applications processing vision data and communication layers for the compute-constrained edge devices. Deploying machine learning models to production. Optimizing the platform runtime for maximum performance. This is largely C++ code with parts of the pipeline running on GPU. Building observability and telemetry. This is a 5-days a week in-office role. Requirements and experience we are looking for 3+ years of experience writing production software in C++ and Python. Experience building applications processing real-time data and optimizing them for latency and memory. Experience using various profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize the code. Experience with Docker, CI/CD pipelines. It would be great if you also have experience with one or more of the following: Edge/IoT computing (we have a fleet of deployed edge computers). Infrastructure management (we use Salt). Monitoring (we use Grafana). Video processing & streaming (we use Gstreamer). Experience interfacing ML models (we use PyTorch). High intrinsic motivation to succeed and ability to work hard. What we offer $150-220k base Company equity % in an early-stage startup The pay range for this role is: 150,000 - 220,000 USD per year (Sunnyvale)
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