Open RAN Jobs

Parallel Wireless is seeking a hands-on technical leader to build and operate a secure local large-language-model (LLM) platform. This platform will enable engineering and business teams to leverage generative AI with proprietary company data, including source code, product documentation, and technical standards, all within a secure, company-controlled environment. This senior individual contributor role involves applied LLM engineering, platform architecture, data pipelines, security, and production operations. You will transform prototypes into a dependable internal capability by selecting and optimizing open-weight models, building permission-aware retrieval systems, creating reusable APIs and tools, integrating with existing workflows, and establishing metrics for quality, safety, latency, capacity, and business value. The role emphasizes building a trustworthy enterprise LLM solution that includes robust source grounding, access controls, repeatable evaluation, observable services, and a sustainable operating model.

We are seeking an AI-Driven 4G PHY SW Tech Lead to spearhead the architecture, implementation, and real-time optimization of the LTE Layer 1 (PHY) software stack. In this role, you will serve as a technical authority, collaborating across MAC, System, Integration, QA, and Product Management to deliver carrier-grade Open RAN solutions. A key aspect of this position involves advancing our application of AI and agentic software development within a large, high-performance codebase to accelerate design, debugging, and delivery.

Parallel Wireless is seeking a highly motivated Sr. AI PHY System Engineer to design, implement, and integrate advanced cellular communication systems for next-generation base-station products. This role will lead PHY activities from feature development through integration, with a strong emphasis on automation and the use of modern AI tools to accelerate development, debugging, and validation. The engineer will leverage existing AI tools and provide technical leadership to junior engineers, acting as the focal point for all PHY and RF-related aspects.

Parallel Wireless is seeking a hands-on technical leader to build and operate a secure local large-language-model (LLM) platform. This platform will enable engineering and business teams to leverage generative AI with proprietary data, including source code, product documentation, and technical standards, while ensuring sensitive information remains within company-controlled environments. This senior individual contributor role involves applied LLM engineering, platform architecture, data pipelines, security, and production operations. The goal is to transform promising prototypes into a dependable internal capability by selecting and optimizing open-weight models, building permission-aware retrieval, creating reusable APIs and tools, and establishing metrics for quality, safety, and business value. The role emphasizes a holistic approach to enterprise LLMs, requiring trustworthy source grounding, strong access controls, repeatable evaluation, observable production services, and a robust operating model for managing data, indexes, prompts, and models.