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Freelance Packet Core Engineer Jobs (NOW HIRING)

Judge Group, Inc.

Engineer-Equipment - III

Irving, TX · On-site

... Gen Packet Core (NGPC), Multi-Service Edge (MSE), PPR, BNG, Public IP, Private IP, and Network. DCE engineers and manages multiple simultaneous projects from project analysis and detail design ...

Nvidia

$107K - $141K/yr

... Engineer, Wireless Infrastructure. What you will be doing: * Lead the technology strategy fornext ... Transform the wireless core into an agentic AI based packet core architecture. * Drive rapid ...

Nvidia

Distinguished Engineer - Wireless Infrastructure

OR · On-site +1

$107K - $140K/yr

... role of Distinguished Engineer, Wireless Infrastructure. What you will be doing: Lead the ... Transform the wireless core into an agentic AI based packet core architecture. Drive rapid ...

Cre8tive Logic

$55 - $83/hr

Seeking Experienced Web Developers Cre8tive Logic is expanding our freelance roster! We have an ... Experience with graphic design, UI/UX, or other creative work is a massive plus, but your core ...

Ericsson GmbH

$191 - $251/hr

Knowledge of 5G Packet Core/LTE EPC, Open RAN (O‑RAN), private cellular networks, network ... Developer Compensation and Benefits at Ericsson At Ericsson, we know that our people are the key to ...

New

Mavenir

Director, Support Engineering

Richardson, TX · On-site

... Packet Core sub-domains for mobile carrier client(s). Work closely with peers in sales, product ... engineering, software development, testing, global support, deployment, and 3rd parties, to provide ...

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Freelance Packet Core Engineer information

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How much do freelance packet core engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for freelance packet core engineer in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a freelance packet core engineer?

A Freelance Packet Core Engineer is a telecommunications specialist who works independently (not as a full-time employee) to design, implement, and maintain packet core networks within mobile communication systems such as 4G LTE and 5G. Their role involves configuring core network elements like SGW, PGW, and MME, troubleshooting network issues, ensuring data security, and optimizing network performance. They often work with mobile operators or vendors on a project basis, providing expertise for network deployments, upgrades, or migrations. Freelance Packet Core Engineers need to have strong knowledge of networking protocols, mobile core architectures, and relevant industry standards.

What are the key skills and qualifications needed to thrive as a freelance packet core engineer?

To thrive as a Freelance Packet Core Engineer, you need expertise in mobile core network technologies (such as EPC, 4G/5G, and IP networking), typically backed by a degree in telecommunications or computer science. Proficiency with tools like Wireshark, EPC nodes (MME, SGW, PGW), and certifications from vendors like Cisco or Nokia are highly valued. Strong analytical thinking, effective communication, and self-management skills set standout engineers apart in client-driven environments. These skills ensure reliable network performance, efficient troubleshooting, and successful project delivery in a rapidly evolving telecom landscape.

What are the most common challenges faced by freelance packet core engineers when working with multiple clients?

Freelance Packet Core Engineers often face challenges such as quickly adapting to varying network architectures, managing different client expectations, and ensuring seamless integration with diverse legacy and next-generation systems. Each client may use distinct equipment and have unique security policies, requiring the engineer to rapidly familiarize themselves with new platforms and protocols. Effective communication and time management are also crucial, as freelancers often juggle several projects simultaneously while maintaining high standards of performance and documentation.

What is the difference between Freelance Packet Core Engineer vs Network Operations Center (NOC) Technician?

AspectFreelance Packet Core EngineerNetwork Operations Center (NOC) Technician
CredentialsNetworking certifications (e.g., CCNA, CCNP), LTE/5G knowledgeNetworking certifications, basic troubleshooting skills
Work EnvironmentRemote, project-based, client-specificOn-site or remote, monitoring network systems
Industry UsageTelecom, mobile network providers, freelance platformsTelecom, ISPs, enterprise networks

Freelance Packet Core Engineers focus on designing, implementing, and optimizing core network components for telecom providers, often working remotely on specific projects. NOC Technicians monitor and troubleshoot network issues in real-time, typically within a fixed environment. While both roles require networking knowledge and certifications, the freelance Packet Core Engineer emphasizes project-based work on core network infrastructure, whereas NOC Technicians focus on ongoing network maintenance and support.

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Freelance Packet Core Engineer jobs near you
Infographic showing various Freelance Packet Core Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Distinguished Engineer - Wireless Infrastructure

NVIDIA Gruppe

Santa Clara, CA • On-site

$320 - $488.75/hr

Other

Posted 29 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

Nvidia is developing accelerated platforms and technologies for next generation Telecom Wireless infrastructure. We are focused on AI‑RAN and Agentic Core to deliver unparalleled performance and spectral efficiency. Additionally, we are building innovative technologies for new use cases in Integrated Sensing and Communications (ISAC), Semantic Communications (SemCom) and Physical AI on a fully software defined Telco Edge infrastructure. We are looking for a motivated and energetic senior technologist for the role of Distinguished Engineer, Wireless Infrastructure.

What you will be doing:
  • Lead the technology strategy for next generation wireless infrastructure spanning systems, platforms, and software architecture.
  • Seek and apply AI/ML approaches for key functions and pipelines of 6G radio access network (RAN).
  • Transform the wireless core into an agentic AI based packet core architecture.
  • Drive rapid prototyping of new algorithms to establish value proposition and benefits of GPU accelerated platforms.
  • Work with industry ecosystem - partners and customers - to rapidly drive innovations into deployable products and solutions.
  • Work with the industry standards and consortiums - 3GPP, AI‑RAN and O‑RAN - for a transformational next‑G technology with AI Native approaches.
  • Drive development of new applications in Integrated Sensing and Communications (ISAC), Semantic Communications, Physical AI at the Edge and more.
  • Drive system architecture, requirements, design, development, performance optimizations, and benchmarks for AI‑for‑RAN software stack.
  • Identify, pathfind, and develop new acceleration technologies into next generation NVIDIA hardware.
What we need to see:
  • MS or PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience).
  • 20+ years of proven industry experience.
  • Deep technical knowledge of communication systems, communication theory, linear algebra, detection and estimation theory, baseband signal processing algorithms, and channel coding.
  • Expertise in architecting and developing RAN applications and proven expertise in system level optimizations. Proven experience in 5G NR PHY/L1 and L2 mac‑scheduler algorithms design and development.
  • Expertise in architecting wireless core technologies including accelerated user plane function (UPF).
  • Deep expertise in AI and Machine Learning. Proven experience in applying AI techniques into RAN (L1, L2+) pipelines.
  • Solid foundation in statistical analysis.
  • Strong understanding of mathematics behind RAN algorithms.
  • Strong hands‑on experience in programming languages such as Python, C/C++, Matlab.
  • Demonstrable experience working with Telecom Service Providers deploying commercial networks is a definite plus.
Ways to stand out from the crowd:
  • Strong leadership, communication, and problem‑solving skills.
  • Demonstrated success in leading impactful innovations and converting them to commercial products.
  • A strong body of work at the intersection of AI, Cloud and Wireless technologies.
  • Strong exposure to wireless standardization and associated industry consortiums.
  • Proven ability to excel in a fast paced and collaborative environment.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 16, 2026.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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