Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values.
Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com.
Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.
Lead the AI team and own its technical direction, roadmap and execution.
Drive AI/ML initiatives from concept and prototyping through production deployment and ongoing optimization.
Define clear success metrics and ensure AI solutions deliver measurable product and business impact.
Lead architecture and technical decision-making around AI models, platforms, tools and data.
Build and grow a strong multidisciplinary team, including recruitment, mentoring, performance management and career development.
Establish strong engineering practices around evaluation, scalability, reliability, monitoring and model lifecycle management.
Work closely with Product Management, Systems Engineering and R&D teams across Israel, India and the US.
Partner with RAN and domain experts to identify opportunities where AI can improve network performance, automation and operational efficiency.
Support customer-facing discussions, trials and PoCs where relevant.
3+ years of experience leading engineering teams, with responsibility for people management, hiring and delivery.
8+ years of experience in software, systems or AI/ML engineering, with a strong technical background.
Proven experience delivering ML or LLM-based solutions into production, with measurable impact and ownership from development through deployment.
Strong understanding of modern AI technologies and architectures, including LLMs, RAG, AI agents, tool calling, evaluation methodologies and MLOps/LLMOps.
Hands-on familiarity with relevant technologies such as Python, PyTorch, vector databases and modern AI development frameworks.
Strong ability to evaluate AI opportunities, define technical approaches and translate them into practical, scalable solutions.
Experience building and developing high-performing technical teams.
Experience working in a global, cross-functional R&D environment.
Fluent English, written and spoken.
Experience in telecom, RAN, wireless communications, real-time systems or another complex technology domain.
Knowledge of 4G/5G technologies and network architecture.
Experience applying ML/AI to network, operational or time-series data.
Experience developing AI assistants, agentic systems or intelligent automation solutions.
Experience delivering products to enterprise or telecom customers with high requirements for reliability and performance.
B.Sc. or M.Sc. in Computer Science, Electrical Engineering or a related field.