Jobs at Hawk-Eye Innovations

Own and prioritize the product backlog for real-time sports tracking and automated officiating systems. Translate user and business needs into epics, features, and stories; coordinate functional, integration, regression, and UAT testing; manage defects; and collaborate with Engineering, QA, TechOps, and UX. Support documentation, pilots, staged deployments, training, and early-life operations while developing roadmap, OKR, and broader product lifecycle capabilities.

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.

Coordinates live video replay operations for SEC sporting events, ensuring system readiness, operational quality, workflow compliance, documentation, training, and post-event reporting. Provides remote support to onsite personnel, troubleshoots software and hardware issues, monitors system performance, supports logistics, and recommends process improvements. The role requires flexible non-traditional hours and occasional travel to sporting events.

Leads a 50-person Product and Engineering organization spanning web, mobile, data, and cloud engineering. Establishes engineering standards, reliability practices, operational discipline, shared data governance, developer enablement, and AI-ready foundations. Owns the internal Platform-as-a-Service and drives scalable, reliable delivery for sports-focused digital products. Develops engineering leaders, improves service health and operational readiness, and balances centralized capabilities with team autonomy.

Lead an engineering squad developing sports tracking products from field trials through commercial launch. Establish an AI-first, agentic development culture; define security and quality guardrails; manage backlogs, sprint plans, and delivery roadmaps; hire and develop engineering talent; line-manage senior engineers; and partner with product and technical leadership on architecture, sequencing, and continuous delivery.

Lead development of high-performance Unreal Engine graphics solutions for sports broadcasting and officiating. Build and optimize AR/VR and backend graphics functionality, resolve bugs, integrate art assets, and maintain a robust graphics pipeline. The role includes technical leadership, mentoring, architecture, code reviews, testing, debugging, and collaboration through Agile planning and design processes.