Velocity Tech has partnered with a rapidly growing tech company that is revolutionizing the video security industry by developing a cutting-edge AI-powered video system. Their next-generation video artificial intelligence provides unparalleled insights and a significantly enhanced user experience compared to traditional solutions in the video security space.

The team consists of experienced AI and robotics experts, including the CEO and CTO, the company is built on a foundation of technical leadership and innovation. The engineering team brings together talent from top companies and institutions like Lyft, Google, Zoox, Toyota, Facebook, Microsoft, Stanford, Oxford, and Cornell.

The Role

This position involves working across a broad technology stack, including front-end, back-end, edge computing, and machine learning. The primary responsibility will be managing a significant portion of the edge computing stack powering their video AI system.

Key responsibilities include:

• Developing edge applications that process vision data and handle communication layers for compute-constrained edge devices.
• Deploying machine learning models into production environments.
• Optimizing runtime performance, primarily in C++, with parts of the pipeline running on GPUs.
• Building observability and telemetry systems.

This role is based in-office 4 days a week.

Requirements

• 3+ years of experience in writing production-level software inC++andPython.
• Experience in building real-time data processing applications, optimizing forlatencyandmemory.
• Proficiency in using profiling tools likegdb,Nsight,Valgrind, andflame graphsto optimize code.
• Familiarity withDockerandCI/CD pipelines.

Preferred Experience

• Edge/IoT computing with a deployed fleet of edge devices.
• Infrastructure management usingSalt.
• Monitoring systems usingGrafana.
• Experience with video processing and streaming technologies likeGStreamer.
• Interfacing with machine learning models usingPyTorch.