Top Tech Jobs & Startup Jobs

Design and develop next-generation cloud video review solutions using modern C++. Build multithreaded, performance-optimized systems, integrate video hardware and networking protocols, and support audio/video processing. Collaborate with product teams and customers, contribute to architecture and technical decisions, participate in live-event field testing and deployments, and mentor or line-manage engineers while championing code quality.

Monitor and validate live sports data before, during, and after events. Investigate and resolve data anomalies using Hawk-Eye tools, process and export data, prepare post-match reports, and identify improvements to data quality and operational efficiency. The role requires flexible availability across daytime, evening, weekend, and event-based shifts, plus strong communication, technical aptitude, English fluency, and an interest in football, baseball, and basketball.

Owns software architecture and computer vision direction for Hawk-Eye’s tracking and automated officiating systems. Leads camera calibration, ball and skeletal tracking, ML integration, and R&D across sports and deployment environments. Evaluates modern AI development tooling, oversees ML training and synthetic data infrastructure, mentors technical leaders, supports hiring, and serves as an escalation point for high-risk live delivery issues. The role is an individual contributor focused on technical authority rather than people, project, or product management.

Own the architecture, development, reliability, and release lifecycle of a production Android application for sports tracking. Build camera and media capture, device-to-device communication, resilient offline and network data transfer, native C++ integrations, observability, testing, and Google Play releases. Collaborate with backend, design, and computer vision teams while addressing real-world device, battery, thermal, connectivity, and Android lifecycle constraints.

Own and prioritize the product backlog for live video and broadcast graphics systems. Translate operator and business needs into features and user stories, coordinate quality testing and defect resolution, support Agile delivery, create technical documentation, and assist with deployments, pilots, and early-life support. The role collaborates closely with engineering, QA, infrastructure, TechOps, and UI/UX teams while developing toward broader roadmap and product ownership responsibilities.

Lead the architecture and development of backend services, APIs, data pipelines, and distributed systems for a new real-time sports technology product. Build scalable, low-latency systems, define API contracts, integrate streaming and event-driven technologies, and collaborate with frontend, computer vision, machine learning, and data science teams. Provide technical leadership, mentorship, and guidance while influencing engineering direction and applying AI-assisted development tools.

Build and deploy first-pass full-stack applications and services powered by ML models and real-time data pipelines. Develop high-throughput APIs, responsive interfaces, low-latency 2D visualizations, AWS infrastructure, and CI/CD workflows. Collaborate with ML engineers to define products, make architectural decisions, integrate AI-assisted development tools, and deliver maintainable software from concept to production.

Own on-device computer vision for Android phones and tablets, including inference design, model conversion, quantization, optimization, profiling, camera pipeline integration, and accuracy validation. Develop C++ Android NDK components with JNI and Kotlin integration, while accounting for device performance, thermal limits, battery use, and real-world conditions. Collaborate with mobile, backend, computer vision, and machine learning teams to deliver production-quality tracking and detection software.

Develop and optimize high-performance cloud video frameworks using modern C++, multithreading, audio/video processing, streaming, codecs, and low-latency systems. Collaborate on architecture, tooling, networking, and scalable media solutions; participate in field testing and live-event deployments; support customers and product teams; promote code quality; and mentor engineers.

Develop and improve real-time computer vision algorithms for cricket tracking and automated officiating systems. Build ball and player tracking solutions using multi-camera technology and multi-view geometry, addressing occlusion, recovery, accuracy, scalability, and performance challenges. Collaborate with computer vision, software, and platform engineers to enhance production systems used in live sporting environments.