𝗦𝗲𝗻𝗶𝗼𝗿 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (Production & Real-Time)

Company Description

MotionAnalytics is a deep-tech startup developing MotionID — AI that identifies individuals by their unique movement patterns from standard video.

Our technology converts human motion into biomechanical signatures, enabling identification across ground and aerial environments, even when faces, clothing, lighting conditions, or camera distance make traditional biometrics unreliable.

Built on more than 20 years of biomechanics research from Ben-Gurion University, MotionAnalytics combines computer vision, biomechanical modeling, and AI to create a new category of biometric intelligence.

Our platform works with standard ground cameras and aerial sensors, enabling reliable identification in challenging operational environments.

MotionAnalytics is currently working with leading defense and homeland security organizations and building the world’s first Biomechanical Motion Foundation Model — an AI system designed to understand and identify humans by motion alone.

Backed by leading investors, we are building a multidisciplinary team of engineers and scientists advancing the frontier of motion-based identification.

This is not just another backend role.

This is about building the real-time infrastructure powering biomechanical AI.

As a Senior Software Engineer (Production & Real-Time) at MotionAnalytics, you will build the software systems that turn advanced computer vision research into robust, mission-critical production platforms. You will design and own high-throughput, real-time video pipelines, optimize performance across the stack, and help scale our MotionID platform into operational environments.

We are looking for a true system builder — someone who enjoys turning complex research pipelines into scalable, production-ready systems.

Responsibilities

• Design and build high-throughput real-time video processing pipelines
• Own the end-to-end software stack, from RTSP ingestion to optimized computer vision inference
• Transform research models into engineering-grade production systems
• Optimize performance across GPU workloads, latency, and memory usage
• Build systems with strong reliability, observability, and operational robustness
• Collaborate closely with research and ML teams to integrate advanced models into production environments

Qualifications

• 4–7 years of experience building mission-critical production services
• Strong experience in performance optimization, profiling, and deep debugging
• Proficiency in Python; C++ is a strong advantage
• Hands-on experience with Docker, containerized environments, and cloud platforms such as AWS or GCP
• Strong engineering mindset around monitoring, reliability, and system performance
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Strong collaboration and communication skills, with the ability to work effectively across engineering and research teams

Nice to Have

• Experience with GPU inference pipelines and the NVIDIA stack (TensorRT, CUDA, DeepStream)
• Experience with video streaming technologies such as RTSP and GStreamer
• Experience with edge deployment on Jetson / Orin
• Experience collaborating closely with research and ML teams
• Background in defense, homeland security, biometrics, or related operational domains

Why Join MotionAnalytics?

You’ll help build the real-time infrastructure behind biomechanical AI — enabling human identification by motion across ground and aerial video in real operational environments.

This is deep tech.

This is mission-driven.

This is foundational.