Jobs at Parallel Wireless

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.

Lead the architecture and development of a multi-RAT Open RAN digital twin supporting LTE and 5G NR simulation. Integrate production MAC and scheduler software with PHY, channel, UE, traffic, mobility, interference, and network models. Build fidelity tiers, AI/ML evaluation pipelines, reproducible experiments, calibration and validation practices, automated testing, and CI/CD workflows. Improve simulation scalability and reliability while collaborating across wireless, PHY, AI/ML, software, and lab-validation teams.

Research and develop machine-learning-based physical-layer algorithms for 5G and future wireless products. Design, train, optimize, and benchmark neural networks for channel estimation, signal detection, beamforming, and decoding, targeting real-time embedded deployment. Responsibilities span research, simulation, Python/PyTorch/TensorFlow and MATLAB prototyping, specification, implementation support, integration, and customer release. The role evaluates ML approaches against traditional DSP methods for accuracy, latency, computational cost, and system performance.

Designs and optimizes RF networks for mobility and fixed wireless access, including coverage, capacity, frequency planning, propagation modeling, link budgets, antenna systems, interference management, and radio parameter optimization. Conducts site selection, field surveys, drive tests, performance monitoring, and technical documentation. Collaborates with engineering, operations, vendors, and service providers on RFPs, technical specifications, and HLD/LLD validation.

Develop and maintain automation infrastructure for wireless telecommunications and cloud-based cellular solutions. Integrate automated tests into CI/CD pipelines, work hands-on in laboratory environments, collaborate with R&D and international test teams, and contribute to system architecture in an Agile/Scrum setting.

Develop and optimize high-performance real-time digital processing software for 4G baseband modems and carrier-grade cellular PHY systems. Responsibilities include debugging, root-cause analysis, module integration, product bring-up, software architecture, testing, and applying agentic development and LLM-based workflows. The role requires strong C++ and Python skills, object-oriented design, CI/CD, Git, and Agile practices, with preferred experience in Arm, SIMD, Kubernetes, MATLAB, and 4G/5G standards.

Research, invent, model, simulate, and prototype PHY/RF algorithms for next-generation cellular radio products. Apply AI/ML to signal-processing challenges such as digital predistortion, channel estimation, interference classification, and beamforming. Perform performance and implementation trade-off analysis, develop algorithms targeted for RTL, create specifications, and support implementation, integration, validation, and product release in collaboration with architecture, firmware, hardware, and systems teams.

Leads PHY and RF system engineering for next-generation Open RAN base stations. Responsibilities include defining system requirements, optimizing PHY algorithms, integrating PHY components with hardware, software, and DSP subsystems, building automation and testing tools, using AI-assisted development workflows, conducting lab validation, and mentoring junior engineers.

Lead the architecture, development, optimization, testing, and production support of LTE Layer 1 PHY software for carrier-grade Open RAN systems. Drive real-time performance, debugging, and technical roadmaps while mentoring engineers and collaborating across MAC, systems, integration, QA, and product teams. Apply agentic software development and LLM-based workflows to accelerate engineering delivery.

Own the non-real-time machine learning capabilities for network intelligence. Develop clustering, anomaly detection, graph, and time-series forecasting models using large-scale network telemetry and topology data. Build experimentation and model deployment workflows, migrate rule-based decisions to adaptive models, and collaborate with near-real-time engineering teams. Define measurable success metrics, analyze network behavior, deploy production models, and present findings and recommendations to technical and business leadership.

Leads the technical strategy, architecture, and implementation of scalable automation infrastructure. Develops Python and pytest test frameworks, integrates automation with Jenkins CI/CD pipelines, improves stability and coverage, debugs complex issues, mentors engineers, conducts code reviews, and collaborates with QA, R&D, DevOps, and Product teams. The role also evaluates AI-based testing approaches and drives automation best practices.