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Telco Jobs in California (NOW HIRING)

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Telco information

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$104.1K

$178.1K

$220.6K

How much do telco jobs pay per year?

As of Aug 23, 2026, the average yearly pay for telco in California is $178,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $161,400.00 and $194,400.00 per year, depending on experience, location, and employer.

What is a telco?

A Telco job refers to a role in the telecommunications industry, which involves the transmission of data, voice, and video over various communication networks. Positions in this field can range from network engineers and technicians to sales representatives and customer service specialists. Responsibilities may include maintaining network infrastructure, optimizing communication systems, and ensuring seamless connectivity for customers. With the rapid evolution of technology, Telco professionals play a crucial role in deploying innovations like 5G, fiber optics, and cloud-based communication solutions.

What does a telco do?

In a Telco position, you can expect to manage and monitor telecommunications networks, handle the installation and configuration of network equipment, and provide timely support for network issues or customer requests. Your typical day might involve troubleshooting connectivity problems, performing routine maintenance, and coordinating with other departments or vendors to ensure seamless service delivery. You may also document network changes, analyze usage data, and suggest improvements for system efficiency. Being proactive, detail-oriented, and communicative is highly valued in this dynamic and evolving field.

What are the key skills and qualifications needed to thrive in the telco position, and why are they important?

To thrive in a Telco role, you generally need a solid understanding of telecommunications networks, data communications, and related IT systems, often supported by a degree in telecommunications, computer science, or a related field. Familiarity with tools like network analyzers, telecom billing systems, VoIP platforms, and relevant certifications such as CCNA or CompTIA Network+ are highly valuable. Excellent problem-solving abilities, teamwork, and strong verbal and written communication skills are important soft skills for this position. These competencies ensure reliable service delivery, effective troubleshooting, and successful collaboration with both technical and non-technical teams.

What are the most commonly searched types of Telco jobs in California?

The most popular types of Telco jobs in California are:

What are popular job titles related to Telco jobs in California?

For Telco jobs in California, the most frequently searched job titles are:

What job categories do people searching Telco jobs in California look for?

The top searched job categories for Telco jobs in California are:

What cities in California are hiring for Telco jobs?

Cities in California with the most Telco job openings:

Telco jobs near you
Infographic showing various Telco job openings in California as of August 2026, with employment types broken down into 83% Full Time, 4% Part Time, and 13% Contract. Highlights an 84% In-person, 2% Hybrid, and 14% Remote job distribution, with an average salary of $178,136 per year, or $85.6 per hour.

Senior Solutions Architect, GenAI Agentic Networks - Telco

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 29 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

We are building the AI systems that will fundamentally change how telecommunications networks are operated - and we want you to help shape that work. As a Senior Solution Architect on our Telco AI team, you will design and deploy Agentic AI applications that automate real carrier operations using the latest generative models, NLP, RAG pipelines, and large-scale distributed systems. We work at the intersection of two fast-moving domains: generative AI and telecommunications infrastructure. That means you will be going deep on both - understanding 5G network data, guiding NVIDIA's strategic Telco partners, and helping engineering teams build things that actually work in production. This is applied work at its most exciting!
What You Will Be Doing:
We are designing, building, and continuously improving agentic LLM applications targeting Telco Network Operations and Autonomous Networks-covering orchestration, tool use, memory, and multi-agent coordination patterns-while evaluating and applying the latest advances in model fine-tuning and customization for telecom-specific corpora including network telemetry, logs, SNMP, NetFlow/IPFIX, and streaming time-series data.
  • Enable NVIDIA strategic Telco partners to build enterprise AI solutions on the NVIDIA accelerated computing stack, including NIMs and NeMo microservices.
  • Provide deep technical guidance to developers onboarding to NVIDIA AI platforms and SDKs; serve as the primary technical partner and customer point of contact for integration challenges.
  • Anticipate partner and customer needs across the adoption lifecycle, identify enablement opportunities that accelerate GenAI utilization, and translate those insights into reference architectures for Agentic AI in Telco-documenting design trade-offs, standard practices, and failure modes, then feeding findings systematically back to product and engineering.
  • Advise on high-performance ETL pipeline design for telecom data: scalable, real-time ingestion workflows using NVIDIA Data Acceleration SDKs (RAPIDS, Morpheus) for high-volume telemetry and event streams.

What We Need to See:
We are looking for someone with a strong engineering foundation and genuine curiosity about both AI and networking. Here is what matters most to us:
  • MSc or PhD in Computer Science, Electrical Engineering, Software Engineering, or a related field-or equivalent experience building real systems-with 6+ years developing and deploying AI/ML systems at scale.
  • Hands-on experience building enterprise RAG systems with open-source models (LLaMA, Mistral, or similar) and orchestration frameworks like LangChain or LlamaIndex, paired with solid deep learning fundamentals.
  • Proficiency in Python, solid understanding of C++, and experience with PyTorch or a comparable deep learning framework.
  • Real familiarity with Telco network data-telemetry, logs, SNMP, NetFlow/IPFIX, and time-series streams-paired with hands-on experience across SQL, NoSQL, Elasticsearch, Apache Spark, and Pandas.
  • The communication skills to talk technical trade-offs with engineers and outcomes with business partners - often in the same conversation.

Ways to Stand Out from the crowd:
These are not requirements - they are signals that you have already been operating in the space we work in every day:
  • Experience with NVIDIA AI Enterprise software: Morpheus, RAPIDS, NeMo, and NIM.
  • Agentic framework fluency: LangGraph, AutoGen, NVIDIA Colang 2.0, or similar multi-agent tools.
  • 5G / 6G and O-RAN depth: Next-generation Telco architecture spanning 5GC, Open RAN, network slicing, MEC, and 3GPP standards (Rel. 15-18), combined with O-RAN automation including xApps, rApps, RIC, SDN/NFV, and protocols such as NETCONF, gNMI, and RESTCONF.
  • MLOps and DevOps: Kubernetes, Docker, Helm, Jupyter-based automation pipelines.
  • Infrastructure awareness around NVIDIA InfiniBand or high-speed Ethernet for distributed model serving.

Location & Travel
Preference is for candidates based at NVIDIA HQ. Remote candidates will be considered. Up to 40% travel may be required for on-site customer engagements and industry conferences.
With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture NVIDIA is widely considered to be one of the technology industry's most desirable employers! NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, robotics, and graphics.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 31, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.

What Nvidia employees say

Pay

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Hours and flexibility

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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

Year founded

1993

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