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Design and optimize automated evaluation infrastructure for AI and computer vision models. Develop Python test suites, integrate workflows into CI/CD pipelines, measure model and system performance metrics, manage golden datasets and annotations, and collaborate with C++ and architecture teams to improve stability, identify bottlenecks, and accelerate testing cycles.

Leads cross-functional hardware and software upgrade projects for mission-critical customer systems across AMEA, ANZ, and LACR. Responsibilities include managing scope, schedules, budgets, dependencies, risks, and KPIs; coordinating stakeholders, technical teams, supply chain, finance, and leadership; resolving architectural and delivery bottlenecks; providing executive reporting; and developing mitigation plans. The role requires technical project management experience in telecom, systems integration, software deployments, or IT managed services, plus knowledge of LMR and wireless systems.

Develop and execute global electro-mechanical procurement category strategies, lead supplier negotiations, manage supplier relationships and performance, mitigate supply and market risks, drive cost reductions, ensure component supply assurance, and lead strategic projects improving cost, quality, delivery, manufacturability, and supply resilience.

Develop and optimize high-performance C++ video analytics software for embedded hardware and SoC platforms. Build low-latency GStreamer video pipelines, deploy deep learning and computer vision models, port algorithms across edge devices, and debug memory, concurrency, performance, and latency issues in resource-constrained Linux environments.

Leads software engineering teams and technical projects for a mission-critical emergency dispatch platform. Provides architecture direction, conducts code reviews, guides C# backend, database, and web development, and oversees testing and delivery. Manages Scrum and Agile execution, mentors teams on AI development tools, fosters collaboration and continuous learning, and partners with senior leaders and external stakeholders. The role is primarily remote with occasional travel to UK and Poland offices and requires security clearance eligibility.

Develop and maintain next-generation system management software for ASTRO mission-critical radio systems. Build modern, intuitive interfaces and robust functionality while collaborating in Scrum teams to keep the Java codebase clean and well organized. The role involves modern Java, Spring Framework, cloud and Kubernetes principles, version control, and potentially PostgreSQL, with opportunities for coaching and professional development.

Support pre-sales for HindSight by gathering technical requirements, assisting demos, building accurate quotes and BOMs, documenting scope and handoffs, validating assumptions with internal teams, and learning integrations across on-prem, virtualized, hybrid, and cloud deployments.

Design, develop, deploy, and operate scalable backend services, microservices, APIs, and event-driven systems for cloud and IoT platforms. Build CI/CD pipelines and cloud-native deployments, secure device-to-cloud communications, optimize SQL and NoSQL data models, and troubleshoot application, messaging, network, and infrastructure issues. Collaborate with network and security teams, mentor engineers, conduct code reviews, and promote reliable, secure, maintainable production systems.

Design and build scalable data-processing pipelines for machine learning using large RF datasets. Develop real-time algorithms, benchmark performance, secure and distribute data streams, deploy algorithms across AWS infrastructure, and create reusable components connecting research and production teams. Collaborate with designers on responsive backend services while using Python, NodeJS, Linux, Docker, Kubernetes, and DevOps tools.

Develop machine learning solutions that improve wireless communication systems using RF signal processing, software-defined radio data, probability, statistics, and AI. Build scalable, high-throughput systems for edge devices and data centers, collaborate with designers, infrastructure engineers, and research scientists, integrate ML algorithms into prototypes and products, and apply current research to wireless and embedded systems.