Leading AI Firm: Who We Are

Started in 2021, they are building the best business AI video system on the market. Powered by the next-generation video artificial intelligence, they deliver unprecedented insights and 10x better user experience than the incumbents of the vast but stagnant video security industry.

Their customers range from warehouses, schools, hospitals, hotels, and many more, and they are growing rapidly. They are looking for someone to join their team to help scale their systems to meet user demand and ship new features.

Team You Will Work With

Founded by Ashesh (CEO) Ashesh LinkedIn and Peter (CTO) Peter LinkedIn, they are serial entrepreneurs and experts in AI and robotics. Their engineering team is composed of industry experts with decades of research and experience from Lyft, Google, Zoox, Toyota, Facebook, Microsoft, Stanford, Oxford, and Cornell. Their go-to-market team consists of experienced leaders from Verkada. They are venture-backed by 8VC + Mosaic, revenue-generating, and have multiple years of runway.

Being part of their 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 their customers in a high-velocity startup.

The Role

Their stack cuts across many technologies (front-end, back-end, edge-computing, machine learning), and you will be responsible for a large part of their edge-computing stack powering Coram Point (Coram Point Link).

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 They Are Looking For

• 3+ years of experience writing production software in C++ and Python, with 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 (they have a fleet of deployed edge computers).
• Infrastructure management (they use Salt).
• Monitoring (they use Grafana).
• Video processing & streaming (they use Gstreamer).
• Experience interfacing ML models (they use PyTorch).

High intrinsic motivation to succeed and the ability to work hard.