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Validation Engineer

Parallel Wireless • Mobile Networks • Network Equipment • Python • C++ • 1 day ago

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Salary

≈ $63k – $142k per year (Estimated)

Location

Hybrid (Israel)

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 11, 2026. Parallel Wireless scores B on the Alion truth index.

Overview

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Parallel Wireless

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.

parallelwireless.com • HQ: Nashua, United States • Mobile Networks • Network Equipment • 501-1000 employees • Est. 2012

Tech stack of Parallel Wireless

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 turning the product roadmap into automated test scenarios and ensuring product quality, conformance, and timely delivery.

Job Responsibilities:

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:

3+ 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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