Top Tech Jobs & Startup Jobs

Develop and maintain high-performance network platform software across IPsec, VPP, StrongSwan, Linux networking, Docker, and Kubernetes. Implement networking features, debug complex multi-layer systems, resolve defects, perform root-cause analysis, and optimize packet-processing performance. Build AI-assisted tools for log analysis and automated debugging. Collaborate across teams while taking ownership of networking features spanning applications, containers, datapaths, and Linux kernel layers.

Design, build, and maintain scalable, secure cloud infrastructure across AWS/Azure/GCP. Optimize and automate CI/CD pipelines, implement infrastructure-as-code, and improve observability. Troubleshoot performance and uptime, define DevOps best practices, and lead AI-driven tooling integration into the software delivery lifecycle.

Own end-to-end analysis of 5G/LTE telemetry, crash data, and operational metrics. Build anomaly detection, forecasting, clustering, and root-cause models; create executive dashboards; define KPIs and data models; and collaborate with engineering, product, and operations to productionize validated models. Apply LLMs and AI tools to accelerate log analysis, querying, insight generation, development, testing, and documentation.

The Accounting Manager oversees UK entity accounting, financial reporting, month-end and year-end close, statutory filings, tax compliance, accounts payable, cash forecasting, payroll accounting support, lease accounting, and internal controls. The role also contributes to global accounting initiatives, process automation, cross-entity reporting, audits, and policy development while managing external accountants and partnering with UK HR and US-based accounting leadership.

Leads RF optimization activities for Open RAN projects, including KPI and physical optimization, configuration management, drive-test analysis, feature testing, field parameter changes, test execution, customer communication, and coordination with development, product, project, and field teams. Serves as the RF optimization subject matter expert and provides technical leadership across projects.

Develop and maintain automated tests for 4G/5G communication systems, support debugging and system validation, improve automation frameworks and CI workflows, run laboratory tests, troubleshoot issues, and analyze system behavior while collaborating with senior engineers.

Own the end-to-end architecture and technical direction of production AI/ML systems for cellular RAN networks. Lead model selection, agent orchestration, RAG, data pipelines, evaluation, deployment, monitoring, and lifecycle management. Prototype critical components, establish engineering standards, mentor engineers, and collaborate with RAN, PHY, software, product, and customer-facing teams. Apply LLMs, classical machine learning, anomaly detection, and time-series analysis to network operations and wireless challenges.

Lead and grow a multidisciplinary AI engineering team, define technical strategy and roadmaps, and deliver production ML and LLM solutions across RAN products. Own architecture, evaluation, scalability, reliability, monitoring, and model lifecycle practices. Partner with Product, Systems, R&D, and telecom domain experts to identify AI opportunities, achieve measurable business impact, support customer trials, and manage recruitment, mentoring, performance, and delivery.

Develop and integrate a multi-RAT RAN digital twin for LTE and 5G NR. Build simulation, modeling, automation, data analysis, testing, and CI/CD capabilities using C/C++ and Python. Model communication-system behavior, evaluate AI/ML network optimization, create reproducible experiments and datasets, validate simulations against lab results, and debug across software, configurations, and measurements. Collaborate with RAN, PHY, systems, AI/ML, automation, and validation teams.

Develop, integrate, debug, and maintain cellular PHY software across 2G, 4G/LTE, and 5G NR systems. Analyze logs, traces, crash dumps, KPIs, configurations, and system behavior to isolate root causes and resolve complex product issues. Collaborate across MAC, RLC, RRC, RF, DSP, hardware, and system teams. Contribute to AI-assisted development, automated log analysis, and root-cause-analysis tools.