Parallel Wireless

We are building the AI layer of the Radio Access Network, applying agentic AI, machine learning, and LLMs to real RAN challenges. This role is for a Technical Lead to own the end-to-end architecture and technical direction of these AI systems. It is a hands-on senior individual contributor role, combining architecture, coding, technical leadership, and mentorship. You will work alongside RAN, PHY, and software teams, building production-grade AI solutions for real cellular networks.

Parallel Wireless is seeking an AI Engineering Team Manager to lead its AI team and drive its technical direction, roadmap, and execution. This role involves leading AI/ML initiatives from concept to production, defining success metrics, and ensuring AI solutions deliver measurable impact. The manager will also lead architecture and technical decisions for AI models, platforms, tools, and data, while building and growing a strong, multidisciplinary team through recruitment, mentoring, and career development. Establishing robust engineering practices for evaluation, scalability, reliability, monitoring, and model lifecycle management is key, as is close collaboration with Product Management, Systems Engineering, and R&D teams across different geographies. The role also includes partnering with domain experts to identify AI opportunities for network improvement and supporting customer-facing discussions and trials.

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.

Parallel Wireless is seeking a skilled wireless systems engineer to lead the development of a multi-RAT digital twin for their Open RAN solution. This role involves executing production RAN software within a closed-loop simulation environment, enabling engineering teams to design, evaluate, and compare features for LTE, 5G NR, and 2G without the need for physical radio setups. The position is a senior individual contributor role at the intersection of wireless systems, simulation, production software, and AI/ML, focused on evolving an existing simulator into a scalable platform for feature development, testing, and optimization.

Parallel Wireless is seeking experienced wireless algorithm experts to research and design advanced cellular communication algorithms for 5G and beyond products. This role will leverage neural networks and machine learning techniques to reimagine mobile networks with innovative, energy-efficient Open RAN solutions. The ideal candidate will contribute to the future of telecommunications by driving innovation through green and sustainable networks.

Parallel Wireless is seeking a driven PHY SW Engineer to join their R&D team. This role will focus on developing advanced, carrier-grade 4G cellular communication solutions, emphasizing performance, reliability, and AI-driven development. The engineer will contribute to building the software behind next-generation cellular networks and shaping the future of telecommunications through innovative and sustainable solutions.

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 Senior Applied AI Evaluation Engineer to enhance how their RAN R&D organization analyzes engineering tickets. This role will focus on improving Root-Cause Analysis, recommending ownership, and learning from resolved cases by building rigorous evaluation datasets, establishing baselines, and comparing internal and external tools. The primary goal is measurable, evidence-based improvement, assessing the accuracy, grounding, calibration, and usefulness of AI-generated conclusions for engineering teams. A secondary focus involves analyzing engineering workflows to identify bottlenecks and opportunities for process improvement.

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 skilled wireless systems engineer to lead the development of a multi-RAT digital twin for their Open RAN solution. This role involves executing production RAN software within a closed-loop simulation environment, enabling engineering teams to design, evaluate, and compare features for LTE, 5G NR, and 2G without the need for physical radio setups. The position is a senior individual contributor role at the intersection of wireless systems, simulation, production software, and AI/ML, focused on evolving an existing simulator into a scalable platform for feature development, testing, and optimization.

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.