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Ran Integration Engineer Jobs in California (NOW HIRING)

Puloli

LTE Systems Engineer

San Francisco, CA · On-site

Bachelor's degree in Electrical Engineering, Computer Science, or related field is required. * 5+ ... Experience in end-to-end system integration, including RAN-EPC interfaces. * Must possess a solid ...

Puloli

LTE Systems Engineer

San Francisco, CA · On-site

Bachelor's degree in Electrical Engineering, Computer Science, or related field is required. * 5+ ... Experience in end-to-end system integration, including RAN-EPC interfaces. * Must possess a solid ...

Puloli

LTE Systems Engineer

San Francisco, CA · On-site

Bachelor's degree in Electrical Engineering, Computer Science, or related field is required. * 5+ ... Experience in end-to-end system integration, including RAN-EPC interfaces. * Must possess a solid ...

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Showing results 21-40

All JobsRan Integration Engineer JobsRan Integration Engineer Jobs in California

Ran Integration Engineer information

See California salary details

$43.9K

$122.6K

$171.2K

How much do ran integration engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ran integration engineer in California is $122,648.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $138,200.00 per year, depending on experience, location, and employer.

What are common challenges faced by RAN integration engineers on the job?

Ran Integration Engineers often face challenges such as coordinating complex deployments within tight deadlines, troubleshooting integration issues across various vendor equipment, and ensuring minimal disruption to live networks during upgrades. Adapting to rapidly evolving technologies and staying updated with the latest standards is also a key part of the role. While these challenges require a proactive and detail-oriented approach, they provide opportunities to work on cutting-edge telecom solutions and gain valuable experience in the ever-evolving wireless industry. Collaboration with cross-functional teams and effective communication can help overcome these hurdles and ensure project success.

What is a RAN integration engineer?

A RAN Integration Engineer is responsible for deploying, testing, and optimizing Radio Access Network (RAN) components to ensure seamless connectivity and performance. They integrate hardware and software solutions from multiple vendors, troubleshoot issues, and support network rollout and upgrades. Their role involves collaborating with teams to configure and validate network elements, ensuring compliance with industry standards.

What are the key skills and qualifications needed to thrive as a RAN integration engineer?

To thrive as a Ran Integration Engineer, you need strong knowledge of radio access networks (RAN), telecommunications protocols, and a relevant degree in engineering or a related field. Familiarity with tools like OSS, drive test equipment, network management systems, and certifications such as CCNA or Ericsson/Nokia RAN training are highly beneficial. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills in this role. These qualities allow you to efficiently integrate, optimize, and troubleshoot network components while collaborating with teams in a dynamic telecom environment.

What are the most commonly searched types of Ran Integration Engineer jobs in California? The most popular types of Ran Integration Engineer jobs in California are:
What are popular job titles related to Ran Integration Engineer jobs in California? For Ran Integration Engineer jobs in California, the most frequently searched job titles are:
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Ran Integration Engineer jobs near you
Infographic showing various Ran Integration Engineer job openings in California as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 80% In-person, 5% Hybrid, and 15% Remote job distribution, with an average salary of $122,648 per year, or $59 per hour.

Distinguished Engineer - Wireless Infrastructure

NVIDIA Gruppe

Santa Clara, CA • On-site

$320 - $488.75/hr

Other

Posted yesterday

New

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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