Location
Hybrid (Kfar Saba, Israel)
Seniority
Junior · 2+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Sep 2, 2026. Parallel Wireless scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Parallel Wireless is a telecommunications software and hardware company headquartered in Nashua, New Hampshire, and founded in 2012. The company develops cloud-native Open RAN (Radio Access Network) solutions that support 2G, 3G, 4G, and 5G technologies through software-defined radios and network automation tools. It serves mobile network operators and private industries globally, providing interoperable infrastructure designed to reduce deployment costs and increase operational efficiency.
Backed by Floodgate
Build the software behind next-generation cellular networks. We’re looking for a driven PHY SW Engineer to join our R&D team and help develop advanced, carrier-grade 4G cellular communication solutions that push performance, reliability, and AI driven development forward.
What you will do:
- Design and build high-performance digital processing software for the baseband modem.
- Optimize, debug, and root-cause complex real-time issues in carrier-grade systems.
- Integrate, test, and bring up software modules all the way into the product.
- Help shape software architecture for advanced cellular PHY solutions.
- Apply agentic software development and LLM-based workflows
What you should have:
- 2+ years of hands-on software development experience with a strong focus on C++ and object-oriented design.
- Excellent C++ skills and solid Python experience.
- Hands-on experience with agentic software development and LLM-based workflows, with a basic understanding of AI internals and RAG.
- Confidence working with Git, CI/CD pipelines, and Agile development practices.
Nice to have:
- Arm architecture experience.
- AVX, Neon, or SIMD programming background.
- Kubernetes experience.
- MATLAB experience.
- Knowledge of 4G/5G 3GPP standards or similar technologies.
- Background in digital signal processing or wireless PHY layer technologies.
Education:
BSc in Electronics, Communication Engineering, Computer Engineering, Software Engineering, Signal Processing, or another relevant engineering discipline.
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