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Senior Ran Engineer Jobs in California (NOW HIRING)

Nvidia

Senior GPU Raytracing Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

We are seeking a selfmotivated senior engineer for the Aerial Omniverse Digital Twin team. This ... speed required by production RAN stacks! This position offers the opportunity to work on ...

Docusign

Sr. AI Engineer

San Francisco, CA · On-site

$65 - $83.75/hr

Review designs, mentor senior engineers, and raise the engineering bar for AI systems * Establish best practices for data access and governance, model evaluation and guardrails and security ...

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Senior Ran Engineer information

What are the key skills and qualifications needed to thrive as a Senior RAN Engineer?

To thrive as a Senior RAN Engineer, you need expertise in radio access network technologies, network optimization, and troubleshooting, typically supported by a degree in telecommunications or a related field. Familiarity with tools such as TEMS, NetAct, Aircom, and certifications like CCNA or vendor-specific credentials (e.g., Nokia, Ericsson) are highly valuable. Strong problem-solving skills, leadership abilities, and effective communication help you manage projects and collaborate across teams. These combined technical and soft skills enable the reliable deployment, optimization, and maintenance of complex mobile network infrastructures.

What is a Senior RAN Engineer?

A Senior RAN (Radio Access Network) Engineer is responsible for designing, optimizing, and maintaining wireless communication networks to ensure optimal performance and coverage. They analyze network performance data, troubleshoot issues, and implement solutions to enhance efficiency. Additionally, they collaborate with cross-functional teams to support network expansion, upgrades, and integration of new technologies like 5G. Their role requires expertise in RF engineering, protocols, and network optimization tools.

What are the common challenges faced by Senior RAN Engineers in their daily work?

Senior RAN Engineers often encounter challenges related to optimizing network performance in dynamic and high-traffic environments, troubleshooting complex connectivity issues, and adapting to rapidly evolving telecommunications technologies. They are frequently tasked with balancing the need for network reliability and efficiency while coordinating upgrades or expansions with minimal service disruption. Close collaboration with RF engineers, core network teams, and field technicians is essential to solve technical problems efficiently. Successful engineers remain adaptable and proactive in learning new tools and standards as the industry evolves.

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Senior Ran Engineer jobs near you
Infographic showing various Senior Ran Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior GPU Propagation Engine Engineer

NVIDIA Corporation

Santa Clara, CA • On-site

$184 - $287.50/hr

Other

Posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

Senior GPU Propogation Engine Engineer page is loaded## Senior GPU Propogation Engine Engineerlocations: US, CA, Santa Clara: US, CA, Remotetime type: Full timeposted on: Posted Yesterdayjob requisition id: JR2016808We are seeking a self‐motivated senior engineer for the Aerial Omniverse Digital Twin team. This hire will lead the design and implementation of a real‐time, GPU‐accelerated propagation engine that predicts how radio signals travel through realistic 3‐D environments — producing both per‐link channel characterisations and radio maps at the speed required by production RAN stacks! This position offers the opportunity to work on foundational technology for 5G and 6G network simulation, using NVIDIA's world‐class GPU and ray‐tracing platforms.**What you'll be doing:**As a member of NVIDIA's Aerial team, you will architect and implement a GPU ray‐tracing engine that operates at two time scales. At the planning scale, the engine produces volumetric radio maps — coverage, SINR, and best‐server maps at multiple resolutions, composable across cells, frequencies, and beam configurations — that network operators use to design and optimise deployments. At the real‐time scale, the same engine delivers per‐link multipath channel updates at the millisecond cadence that a production RAN stack requires, using adaptive algorithms that exploit temporal coherence to avoid recomputing what hasn't changed. Laying the foundations for real‐time ray tracing on GPU hardware — algorithms, data structures, and multi‐GPU scaling strategies that make sub‐millisecond propagation updates feasible — is the defining technical challenge of this role.**What we need to see:*** PhD in computer graphics, high‐performance computing, computational electromagnetics, or a closely related field (or equivalent experience).* 8+ years of relevant experience.* Hands‐on proficiency with CUDA and at least one GPU ray‐tracing framework (OptiX, Vulkan RT, Embree), with a track record of writing production‐quality GPU code.* Proficiency in GPU‐friendly spatial data structures (BVH, space‐filling curves, hash maps) and the ability to reason about memory hierarchy, occupancy, and compute‐vs‐bandwidth trade‐offs at the kernel level.* Working knowledge of electromagnetic wave propagation phenomena (reflection, transmission, diffraction, scattering) sufficient to implement and validate a propagation engine.* Impactful publications in GPU ray tracing, real‐time rendering, or deterministic propagation modelling.**Ways to stand out from the crowd:*** Experience with real‐time or near‐real‐time ray‐tracing engines shipping in production systems.* Prior work on multi‐GPU partitioning for ray‐tracing or large‐scale simulation workloads.* Familiarity with 3GPP channel models and wireless network planning tools.* Knowledge of geospatial coordinate systems and tiling schemes.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 .Applications for this job will be accepted at least until April 26, 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. #J-18808-Ljbffr

What Nvidia employees say

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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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