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We are seeking an experienced Software Engineer to build low-latency and reusable data pipelines that produce tracking and pose data that powers AI-driven insights about team and player performance, assists our semi-automated systems that make real-time officiating decisions, and revolutionizes the sports viewing experience through live video augmentation.
Job Responsibility
Collaborate with teams across computer vision, automated event detection, and augmentation to integrate low-latency algorithms
Develop performant code for both cloud-based and on-premise environments
Design autonomous systems that scale efficiently and minimize manual intervention
Create tools and frameworks that accelerate developer productivity and team velocity
Requirements
5 years of industry experience
Experience with optimizing and benchmarking low-latency, real-time systems
Enthusiasm towards framework development and developer experience
Learning and mentoring mentality
Ability to excel in a fast-paced, dynamic environment
Proven technical leadership and strong communication skills
Understanding of asynchronous code execution, multi-threading, and high-performance applications
Proficiency in writing Rust and/or other systems-level languages
Nice to have
Experience building DAGs and using the actor pattern
Previously delivered live events and participated in on-call support
Used message brokers such as Pulsar, RabbitMQ, ZMQ
DevOps experience with Linux, CMake, Docker/Earthly, Kubernetes
Familiarity with Nvidia GPUs and CUDA
What we offer
Eligible to take part in Genius Sports Group's benefits plan