Protex AI is the AI Safety and Operations Intelligence Company.
At Protex AI, we are at the forefront of AI-driven computer vision, building a safer, smarter industrial workplace with an intelligent operating system that redefines how facilities operate. Backed by top-tier global investors, we recently secured a $36 million Series B to accelerate our mission.
Industry leaders like DHL, Amazon, and Tesla trust Protex AI to drive measurable safety improvements, achieving an average 64% risk reduction within just three months of deployment. Operating in 20+ countries, Protex is the go-to safety partner for Fortune 500 manufacturing and logistics enterprises, transforming workplace safety with real-time, AI-powered insights.
The Computer Vision (CV) Team builds and maintains the core foundation that powers all Protex systems, ensuring robust edge-to-cloud connectivity, scalable data infrastructure, and high-performance backend services. We support edge deployments for real-time computer vision applications and deliver resilient systems to enable proactive workplace safety at global scale.
We're looking for a Senior Software Engineer with deep expertise in C/C++ to join our Computer Vision team. You'll design, implement, and optimise the high-performance, real-time video analytics pipeline that powers our AI-driven safety platform.
Built on the NVIDIA DeepStream SDK and GStreamer, this pipeline runs on edge hardware and orchestrates decode, batching, inference, tracking, and analytics under strict latency and throughput constraints.
You'll own performance, reliability, and observability across that pipeline — from custom GStreamer plugins through to edge-to-cloud delivery.
8+ years of professional software engineering experience
Deep understanding of traditional C/C++, with strong proficiency in applying modern C++ (C++17/20) features to write safer, cleaner, and more maintainable code
Proven expertise in multithreading, asynchronous programming, and concurrency management in C++
Proven expertise in performance profiling and monitoring of C++ applications, with a focus on optimisation and throughput
Proven expertise in debugging multi-threaded & real-time C++ applications with GDB
Experience building and deploying with Docker, including on resource-constrained edge devices
Ability to influence technical direction, mentor others, and implement solutions
Proven ability to optimize complex systems for real-time performance and scalability
Bachelor's degree in Computer Science or a related field
Hands-on experience with the NVIDIA DeepStream SDK
Hands-on experience with GStreamer and computer vision applications, including writing or maintaining custom GStreamer plugins (pads/caps negotiation, buffer/metadata handling)
CUDA and GPU programming experience, including GPU memory management on NVIDIA hardware (Jetson-class edge devices)
Knowledge of encoding/decoding algorithms (H.264, H.265, MJPEG) and streaming protocols
Experience with edge deployment on AWS IoT Greengrass (or similar edge runtimes) and edge-to-cloud IPC
Familiarity with Python for build tooling, test harnesses, and analytics integration
Experience with CMake-based build systems
A track record of building observability into real-time systems (structured logging, health/heartbeat signals, graceful degradation)
At Protex AI, you'll work on cutting-edge problems with a mission-driven team. You'll have ownership, autonomy, and the opportunity to make a tangible impact on workplace safety around the world.
Protex AI is an inclusive and equal opportunities employer. We are committed to creating an equitable workplace for everyone regardless of gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.
