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Entry Level Ran Optimization Engineer Jobs (NOW HIRING)

VDURA

Software Engineer - Entry Level

Niwot, CO · On-site

We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help ... Help analyze system performance and identify opportunities for optimization. * Learn about modern ...

VDURA

Software Engineer - Entry Level

Niwot, CO · On-site

We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help ... Help analyze system performance and identify opportunities for optimization. * Learn about modern ...

VDURA

Software Engineer - Entry Level

Longmont, CO · On-site

We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help ... Help analyze system performance and identify opportunities for optimization. * Learn about modern ...

DLR Group

Structural Engineer, Entry-level

Austin, TX · On-site

The Engineering team has an opening for an Entry Level Structural Engineer. Location: Austin, Texas ... building optimization for new builds, renovations, and adaptive reuse projects. We are 100 ...

RoviSys

Entry Level Engineer/Developer

Manassas, VA · On-site

$80K - $82K/yr

Responsibilities Entry Level Position: College Graduate - 2 years experience RoviSys offers a broad ... Manually configure technical solutions and identify optimization opportunities by leveraging ...

RoviSys

Entry Level Engineer/Developer

Holly Springs, NC · On-site

$80K - $82K/yr

... success! Entry Level Position: College Graduate - 2 years experience RoviSys offers a broad ... Manually configure technical solutions and identify optimization opportunities by leveraging ...

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Entry Level Ran Optimization Engineer information

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$30K

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How much do entry level ran optimization engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for entry level ran optimization engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Ran Optimization Engineer vs Network Optimization Technician?

AspectEntry Level Ran Optimization EngineerNetwork Optimization Technician
CredentialsBachelor's in Telecommunications, Electrical Engineering, or related fieldAssociate's or Bachelor's in Networking, Telecommunications, or related field
Work EnvironmentTelecom companies, network providers, field and office settingsTelecom companies, network service providers, field and lab environments
Industry UsageCommonly used in mobile network planning and optimizationUsed in maintaining and troubleshooting network performance

Entry Level Ran Optimization Engineers focus on optimizing radio access network parameters to improve coverage and capacity, often working with LTE/5G networks. Network Optimization Technicians handle network performance issues, troubleshooting, and maintenance. While both roles require telecommunications knowledge, the Engineer role emphasizes planning and optimization, whereas Technicians focus on operational support and problem resolution.

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What cities are hiring for Entry Level Ran Optimization Engineer jobs? Cities with the most Entry Level Ran Optimization Engineer job openings:
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What states have the most Entry Level Ran Optimization Engineer jobs? States with the most job openings for Entry Level Ran Optimization Engineer jobs include:
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Entry Level Ran Optimization Engineer jobs near you
Infographic showing various Entry Level Ran Optimization Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Software Engineer - Entry Level

VDURA

Niwot, CO • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Description
Position Overview:
VDURA is a leader in high-performance parallel file systems and distributed storage solutions for AI and HPC environments. We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help develop the next generation of the VDURA Data Platform.
This role is ideal for a recent graduate or early-career engineer who is passionate about systems software, distributed computing, AI infrastructure, and large-scale storage technologies. The successful candidate will work alongside experienced architects and senior engineers while contributing to real-world enterprise storage solutions used in demanding AI and HPC deployments.
The Software Engineer will gain hands-on experience with distributed systems development, performance optimization, automated testing, cloud technologies, and modern AI-assisted software development practices.
Key Responsibilities:
Software Development
  • Develop, test, debug, and maintain software components within the VDURA Data Platform.
  • Contribute to distributed storage services, management tools, datapath functionality, and automation infrastructure.
  • Write clean, maintainable, and well-tested code primarily in C, C++, Python, or related technologies.
  • Engineering Collaboration
  • Work closely with senior engineers, architects, QA, DevOps, and support teams on feature development and issue resolution.
  • Participate in code reviews, technical discussions, and team planning activities.
  • Learn and apply best practices for scalable software development and systems engineering.
  • Testing and Debugging
  • Assist with debugging complex software issues across distributed systems environments.
  • Contribute to automated test frameworks and continuous integration workflows.
  • Support system validation, performance testing, and reliability improvements.
  • Performance and Scalability
  • Help analyze system performance and identify opportunities for optimization.
  • Learn about modern storage and networking technologies including NVMe, RDMA, InfiniBand, and parallel file systems.
  • Participate in lab testing and large-scale system validation activities.
  • Innovation and Learning
  • Utilize AI-based software development tools to improve productivity, learning, debugging, and software quality.
  • Stay current with emerging technologies in AI infrastructure, cloud-native systems, distributed storage, and software engineering.
  • Continuously expand technical knowledge through mentorship and hands-on development experience.

Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.
  • Strong programming skills in C, C++, Python, Java, or similar languages.
  • Understanding of operating systems, data structures, algorithms, and networking fundamentals.
  • Familiarity with Linux or UNIX-based development environments.
  • Strong analytical and problem-solving skills.
  • Experience with Git or other version control systems.
  • Interest in distributed systems, storage software, cloud computing, AI infrastructure, or systems-level programming.
  • Experience using AI-based software development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Gemini, or similar technologies is desirable.
  • Strong communication skills and willingness to work collaboratively within a team environment.

Preferred Experience:
  • Internship, academic project, or open-source experience related to systems software or distributed systems.
  • Exposure to Linux system administration or scripting.
  • Familiarity with containers, Kubernetes, cloud platforms, or virtualization technologies.
  • Experience with automated testing or CI/CD workflows.
  • Interest in HPC, AI infrastructure, or large-scale storage systems.

Location:
This role is based in: Niwot, CO
This is primarily an on-site role to support close collaboration with engineering teams and access to VDURA lab environments.
About VDURA:
VDURA is transforming data storage and management for the AI era. Our software-defined storage platform delivers the performance, scalability, durability, and simplicity required for the world's most demanding AI and HPC environments. Our engineering teams work on cutting-edge distributed systems challenges spanning parallel file systems, AI infrastructure, cloud technologies, and next-generation storage architectures.

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