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Salary
≈ $74k – $168k per year (Estimated)
Location
Hybrid (Israel)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 8, 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

We are looking for a Validation Engineer to join our Regression team, validating 2G, 4G, and 5G radio products, including O-RAN. The role includes developing automated test scenarios and ensuring product quality, conformance, and timely delivery.

Job Responsibilities:

    Automation

  • Build and maintain Python automation frameworks (Pytest/Unittest), including instrument drivers and measurement applications (Python, MATLAB).
  • Automate Radio Conformance Test (RCT) and E2E scenarios, integrated with CI/CD and Kubernetes-based execution.
  • Apply AI/ML to test generation, log analysis, failure triage and anomaly detection.
  • RF Validation and Debug

  • Execute 3GPP RCT and characterize RF subsystems (PA, LNA, filters, CFR, DPD) using Keysight or R&S equipment.
  • Develop measurement workflows for EVM, ACLR, sensitivity, noise figure, spectral emissions and linearity.
  • Root-cause RF issues with hardware, firmware and software teams, drive silicon bring-up, and give design teams actionable recommendations.

Job Requirements:

  • 7+ years in wireless/radio validation; has led or mentored 6+ engineers and owned a complex test plan end to end.
  • Strong Python and shell, working C/C++; solid MAC/PHY knowledge of O-RAN, LTE or 5G.
  • knowledge on automating Keysight or R&S RF equipment, and RCT/E2E scenarios.
  • Familiarity with Kubernetes, and practical experience using AI in testing workflows (must-have).
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