---
title: 'Senior/Principal RAN Digital Twin & AI Simulation Engineer at Parallel Wireless'
canonical: 'https://feeny.ai/job/senior-principal-ran-digital-twin-ai-simulation-engineer-parallel-wireless-rkb328gj6ksc'
type: 'job'
last_seen: '2026-09-16'
---

# Senior/Principal RAN Digital Twin & AI Simulation Engineer at Parallel Wireless

- **Company:** Parallel Wireless
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-16
- **Apply:** https://jobs.lever.co/parallelwireless/6cff4d29-c565-4327-a1bf-5923a95da80a

## Job description

Parallel Wireless is a U.S.-based pioneer in Open RAN innovation, transforming how mobile networks are built, optimized, and powered. Through our GreenRAN™ portfolio, we help operators deliver secure, energy-efficient, automated, and flexible connectivity across 2G, 3G, 4G, 5G, and the path toward 6G. Our software-centric, hardware-agnostic approach brings intelligence into the RAN while helping customers reduce complexity and total cost of ownership.

Parallel Wireless is looking for a hands-on wireless systems engineer to lead the development of a multi-RAT digital twin for our Open RAN solution. The digital twin will execute production RAN software-beginning with scheduler and MAC behavior-in a closed loop with PHY, channel, UE, traffic, and network models. It will allow engineering teams to design, evaluate, and compare features for LTE, 5G NR, and 2G without requiring a dedicated physical radio setup for every development cycle. This is a senior individual-contributor role at the intersection of wireless systems, simulation, production software, and AI/ML. You will evolve an existing LTE end-to-end simulator into a scalable engineering platform for feature development, regression testing, performance optimization, and evidence-based pre-validation. Initial use cases include MAC scheduler and link-adaptation improvements, power control, mobility and interference scenarios, and neural-network-assisted channel estimation. The successful candidate will understand that a useful digital twin must be both fast and trustworthy. You will define multiple fidelity levels-from rapid surrogate models to full PHY processing-and establish repeatable methods for calibrating the twin against lab or field reference data. The goal is to reduce dependence on continuous lab access while maintaining clear, measurable confidence in the simulation results.

What you will do:

- Own the technical architecture and roadmap for a modular, multi-RAT RAN digital twin covering LTE, 5G NR.
- Integrate production MAC and scheduler software into deterministic, per-TTI/slot closed-loop simulations through stable and maintainable interfaces.
- Model the interaction among scheduler decisions, PHY processing, propagation channels, UE behavior, traffic, interference, mobility, HARQ, link adaptation, and power control.
- Extend the current LTE simulation capability and define reusable abstractions that support additional 5G NR and 2G stacks without duplicating the platform.
- Design a fidelity ladder that combines high-fidelity PHY execution with faster calibrated models or lookup/surrogate backends, selecting the least expensive model that is valid for each engineering question.
- Develop and evaluate AI/ML-based RAN capabilities, including neural channel estimation, learned link adaptation or scheduling policies, and ML-based PHY or channel surrogates.
- Build representative datasets and experiment pipelines; establish conventional algorithmic baselines; measure accuracy, robustness, generalization, latency, and compute cost before recommending integration into production software.
- Create reproducible A/B experiments across software builds and algorithm versions, using defined scenarios, seeds, configurations, and KPIs such as throughput, BLER/ACK-NACK behaviour, MCS, resource-block allocation, SINR, transmit power, latency, and fairness.
- Establish simulation verification and validation practices: matched sim-vs-lab scenarios, calibration rules, lab-repeatability baselines, divergence analysis, model-version tracking, and evidence reports.
- Prevent overfitting the twin to a single setup by separating universal model parameters, setup-specific calibration, and the production algorithms under test.
- Build automated unit, component, end-to-end, regression, and performance tests and integrate them into CI/CD workflows.
- Improve simulation speed, scale, observability, and usability so that stack, PHY, test, and AI engineers can run repeatable experiments independently.
- Debug discrepancies across C/C++, Python, MATLAB, PHY models, production stack behaviour, configuration, and reference measurements.
- Document model assumptions, limitations, supported operating regions, calibration provenance, and the validity of every simulation or ML backend.
- Work closely with RAN stack, PHY, system architecture, AI/ML, automation, and lab-validation teams to convert product questions into measurable simulation campaigns.

What you bring:

- BSc or MSc in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with substantial relevant industry experience.
- Typically, 7+ years of hands-on experience in communication systems, system development, integration, or simulation. Experience with RAN, modem/PHY, or wireless systems is an advantage.
- Demonstrated experience building or validating link-level, system-level, or hardware-in-the-loop simulations and explaining where a model is-and is not-valid.
- Strong programming skills in C or C++ and Python, including the ability to integrate production native code with simulation and analysis tooling.
- Practical experience with scientific computing and data analysis using tools such as NumPy, SciPy, pandas, and visualization frameworks.
- Sound experimental and statistical judgment: reproducibility, baselines, error analysis, uncertainty, calibration, controlled comparisons, and avoidance of data leakage or curve fitting.
- Experience working in Linux development environments with Git, automated testing, containers, and CI/CD.
- Ability to lead a technically ambiguous initiative, make architecture decisions, and communicate clearly across research, product, development, and validation teams.

Nice to have:

- A PhD in wireless communications, signal processing or a related area.
- Hands-on experience developing or evaluating machine-learning models for communications, signal processing, time-series data, or related domains using PyTorch, TensorFlow, or an equivalent framework.
- Knowledge of LTE and/or 5G NR L1/L2 behavior, including MAC scheduling, link adaptation, HARQ, CQI/SINR feedback, resource allocation, and uplink power control.
- Knowledge of digital communications and signal processing, including areas such as channel estimation, equalization, coding/modulation, MIMO, propagation and fading models.
- Extend the current LTE simulation capability and define reusable abstractions that support additional 5G NR and 2G stacks without duplicating the platform.
- Experience with MATLAB and Communications/LTE/5G toolboxes or equivalent PHY simulation environments.
- Direct experience with production eNodeB/gNodeB software, commercial modem stacks, or Open RAN products.
- Knowledge of 3GPP LTE, NR, and/or GERAN specifications and experience translating standards into executable models and test scenarios.
- Experience with scheduler algorithms such as proportional fair, round robin, maximum C/I, QoS-aware scheduling, or reinforcement-learning-based resource allocation.

## About Parallel Wireless

## Company Overview
- **One-liner**: Parallel Wireless is a privately held, U.S.-based pioneer in Open RAN telecommunications, providing cloud-native, software-defined mobile network infrastructure from 2G through 5G to operators worldwide.
- **Entity Type**: Private (Privately Held; multiple funding rounds including Seed, Debt Financing, Convertible Note, and Series A)
- **Headquarters**: Nashua, New Hampshire, United States (300 Innovative Way, Suite #2310, Nashua, NH 03062)
- **Founded**: 2012
- **Founders**: Steve Papa (Founder & CEO)

## Core Business
- **Primary industry**: Telecommunications / Open RAN (Radio Access Network) infrastructure
- **Target customers**: Mobile Network Operators (MNOs) globally — including MTN, Etisalat, BT EE, Tigo, and Axiata Group — with engagements across six continents and 50+ global MNOs
- **Mission**: "To deliver innovative products that unlock value and disrupt the economics of wireless networks through intelligence and openness."
- **Vision**: "To reimagine the wireless network so all people can be connected whenever, wherever, and however they choose."

## Products & Services
- **GreenRAN™ Portfolio**: The company's flagship product line, combining energy-efficient hardware, hardware-agnostic software, and cloud-first automation to reduce power consumption, lower total cost of ownership (TCO), and accelerate sustainable 5G deployment. Includes fully automated outdoor and indoor coverage/capacity solutions that are software-upgradable to 5G.
- **ALL G O-RAN Software Platform**: A cloud-native, open, secure, and intelligent RAN architecture supporting 5G/4G/3G/2G interoperability, designed to reduce network complexity and deployment costs. Fully compliant and interoperable OpenRAN architecture, built from the ground up to be software-defined.
- **Network Automation & Services**: Professional services and network engineering support (deployment, integration, validation) delivered alongside the RAN platform, including AI/ML-driven integration and validation capabilities.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Annual Revenue of approximately $51M (per LinkedIn company data); Total Funding of approximately $10.6M across multiple rounds
- **Notable Funding Rounds**:
  - Seed Round (2014): 1 investor
  - Debt Financing (Feb 2016): $8.8M, 1 investor
  - Convertible Note (Mar 2016): $1.8M, 1 investor
  - Series A (2018): 1 investor
- **Notable Investors/Partners/Customers**: MTN, Etisalat, BT EE, Tigo, Axiata Group (operator collaborations); engaged with 50+ global MNOs
- **Recognition**: 74+ industry awards
- **Growth Signals**: Headcount of 630 employees, up +16.5% YoY (+117 people); workforce distributed across 17 countries including Israel, India, United States, United Kingdom, South Korea, Tanzania, Turkey, Nigeria, and Kenya; LinkedIn followers of 89,561 (+39.8% yearly growth); open roles across sales, engineering (4G/5G stack), and AI-driven integration/validation

## Competitive Advantages
- **Open RAN Pioneer**: One of the earliest and most prominent companies in the Open RAN movement, with a track record across six continents and a mature, deployed footprint with major MNOs.
- **Software-Defined, Hardware-Agnostic Architecture**: The ALL G O-RAN platform reduces vendor lock-in and allows operators to use any hardware, differentiating on software intelligence and automation rather than proprietary hardware.
- **Energy Efficiency & Sustainability**: GreenRAN™ portfolio positions the company at the intersection of 5G expansion and energy-cost reduction — a pressing operator priority.
- **Full Generational Coverage**: Unique ability to evolve networks from 2G/3G/4G to 5G via software upgrades, lowering customer TCO and simplifying migration paths.
- **Global Engineering Footprint**: Distributed R&D across Israel (largest hub, 243 employees) and India (230 employees), enabling cost-effective, around-the-clock development capacity.

## Strategic Focus
- **Expanding Open RAN adoption**: Driving the industry shift from viewing Open RAN as a finished standard to a foundation for continuous, software-driven innovation.
- **AI/ML integration**: Hiring for AI-driven integration and validation engineers and AI/ML-expert tech leads in 4G/5G stack development, signaling a push to embed intelligence into the RAN.
- **Sustainable 5G expansion**: Emphasizing energy-efficient RAN deployments to help operators meet sustainability goals while lowering TCO.
- **Global commercial growth**: Active sales hiring across Africa, Southeast Asia, and the Pacific region (Fiji, New Zealand), indicating expansion into emerging and high-growth mobile markets.

## Why Work Here
- **Pioneering, mission-driven work**: Employees have the opportunity to help "disrupt, challenge, and lead the future of telecommunications" within the global Open RAN movement, developing products from 2G to 5G and beyond.
- **Global, distributed culture**: Workforce spans 17 countries, with major hubs in Israel, India, the US, and the UK — offering a genuinely international work environment and a global mobility program.
- **Flexible/remote working**: The company explicitly supports flexible and remote working arrangements, plus paid time off to rest and recharge, and time off to give back to the community.
- **Career growth and development**: Rapid career growth opportunities, tailored individual development plans delivered regionally, and a "Servant Leadership" philosophy where leadership is vested in employee success.
- **Recognition and rewards**: Spot Awards for celebrating wins; competitive total rewards package with long-term wealth creation opportunities described as "unmatched in the industry."
- **Engineering culture**: Heavily technical organization (~55% of employees in technical roles), with challenging assignments, collaborative teamwork, and an emphasis on innovation, openness, andamos customer success.
- **⚠️ Glassdoor/LinkedIn review caution**: Employer rating is 3.5/5.0 based on 240 reviews, with Work-Life Balance 3.2, Compensation 3.3, Culture 3.2, and Career Development 3.0 — candidate should evaluate these areas carefully during interviews.
- **Open roles (sample)**: Director of Solution Sales Engineering (Pacific), Principal Systems Engineer (RF Communications & Sensing), Account Manager OpenRAN (Africa), Junior Engineer RT 5G Stack, Sr. Engineer RT 5G Stack, 5G/LTE Network Engineer I, Sales Director / Customer Executive (Southeast Asia, Pacific) — see the Lever careers page for the full list.

## Sources
1. [parallelwireless.com — Who We Are](https://www.parallelwireless.com/company/who-we-are/)
2. [parallelwireless.com — Careers](https://www.parallelwireless.com/careers/)
3. [jobs.lever.co — Parallel Wireless Open Positions](https://jobs.lever.co/parallelwireless)
4. [linkedin.com — Parallel Wireless Company Profile](https://linkedin.com/company/parallel-wireless-inc)
5. [cbinsights.com — Parallel Wireless Company Profile](https://www.cbinsights.com/company/parallel-wireless)

## Other roles at Parallel Wireless

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- [AI Engineering Team Manager](https://feeny.ai/job/ai-engineering-team-manager-parallel-wireless-kfar-saba-s0ewkyb287nz) — Kfar Saba, Israel
- [Senior Data Scientist](https://feeny.ai/job/senior-data-scientist-parallel-wireless-kfar-saba-s7rbcqca06kz) — Kfar Saba, Israel
- [RAN Digital Twin Engineer](https://feeny.ai/job/ran-digital-twin-engineer-parallel-wireless-kfar-saba-70tkcmakgc16) — Kfar Saba, Israel
- [Senior PHY Software Engineer – 2G/4G/5G](https://feeny.ai/job/senior-phy-software-engineer-2g-4g-5g-parallel-wireless-bengaluru-2hzg4q5kyczr) — Bengaluru, India
- [Senior/Principal Local LLM & Generative AI Platform Engineer](https://feeny.ai/job/senior-principal-local-llm-generative-ai-platform-engineer-parallel-wireless-zwzbgpfsajxd) — United States
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- [RF Planning & Design Engineer](https://feeny.ai/job/rf-planning-design-engineer-parallel-wireless-pune-v4w472d3da3a) — Pune, India
- [Senior Automation Engineer - North](https://feeny.ai/job/senior-automation-engineer-north-parallel-wireless-kinneret-xfcwy0stjbnt) — Kinneret, Israel