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Remote Ran Optimization Engineer Jobs in Washington, DC

No Overtime Pay Basis Remote (within USA - W/ On-Site Meetings Expected) in The CONUS - Located In ... Production optimization, field operations, artificial lift, throughput, and production performance ...

... Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote ... Performance Optimization : Review and analyze software runtime performance, making algorithmic and ...

DevOps Engineer - Secret (Remote)

Mclean, VA · Remote

$53.25 - $73/hr

As a Senior DevOps Engineer, you will play a pivotal role in automating, optimizing, and securing ... Location: McLean, VA (Remote) Clearance: Active Secret Responsibilities * Facilitates the ...

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Improve existing applications through performance optimization, automation, and architecture ...

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Improve existing applications through performance optimization, automation, and architecture ...

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Improve existing applications through performance optimization, automation, and architecture ...

Be Seen First

Junior Network Engineer 100% remote US Citizenship is required per government contract Must be able ... optimal performance. • Resolve issues related to Data Networks and escalate to Tier IV if ...

New

Engineering Manager, O&M Job number 876 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile ...

Remote / Washington, DC (Remote Flexibility Available) Clearance: Ability to obtain MBI (Tier 2) ... Strong understanding of automation, deployment strategies, and pipeline optimization * Experience ...

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Remote Ran Optimization Engineer information

See Washington, DC salary details

$46

$67

$92

How much do remote ran optimization engineer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote ran optimization engineer in Washington, DC is $67.56, according to ZipRecruiter salary data. Most workers in this role earn between $48.99 and $83.32 per hour, depending on experience, location, and employer.

What is the difference between Remote Ran Optimization Engineer vs Radio Network Optimization Engineer?

AspectRemote Ran Optimization EngineerRadio Network Optimization Engineer
CredentialsTypically requires a degree in telecommunications, certifications like Nokia, Ericsson, or vendor-specific trainingSimilar credentials, often with certifications in radio network design and optimization
Work EnvironmentPrimarily remote, collaborating with teams across locations, using remote toolsUsually onsite or hybrid, with field visits for testing and adjustments
Industry UsageCommon in telecom providers, network vendors, and remote service providersUsed in telecom companies, network operators, and infrastructure firms

Both roles focus on optimizing radio networks, but the Remote Ran Optimization Engineer emphasizes remote work and virtual collaboration, while the Radio Network Optimization Engineer may involve more onsite activities. Both require similar technical skills and certifications, with the main difference being the work environment.

What are popular job titles related to Remote Ran Optimization Engineer jobs in Washington, DC? For Remote Ran Optimization Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Ran Optimization Engineer jobs in Washington, DC look for? The top searched job categories for Remote Ran Optimization Engineer jobs in Washington, DC are:
Infographic showing various Remote Ran Optimization Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $140,518 per year, or $67.6 per hour.
System Engineer - Machine Learning (ML) Integration and Optimization (AE2689523)

System Engineer - Machine Learning (ML) Integration and Optimization (AE2689523)

Advantage Engineering & IT Solutions Inc

Annapolis Junction, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

AEITS, Inc., a GTSC company, is growing its team! Seeking a System Engineer for Machine Learning (ML) Integration and Optimization to support our customer in the Annapolis Junction, MD area.

Location: Annapolis Junction, Maryland

All work is on-site. This is not a hybrid or remote position.

Mission: As a System Engineer for Machine Learning (ML) Integration and Optimization, you will be focused on testing the integration of GOTS/COTS Machine Learning models into FETS current product line. This position will be focused on quantitative and qualitative testing along with optimizing system performance. These efforts will require characterization of large data sets through some level of automation.

Requirements:

  • U.S. Citizenship
  • Active TS/SCI with polygraph
  • Fourteen (14) years of experience as a SE in programs and contracts of similar scope, type, and complexity is required.
  • Strong interpersonal, communications and writing skills.
  • Basic Linux skills required.

Desired Qualifications

  • Experience Testing Machine Learning Models.
  • Experience with Yolo
  • Experience with Python.
  • Experience with Wireshark or other protocol analyzer.
  • Knowledge of and experience with scripting languages to process automation.
  • Experience installing, monitoring, and optimizing Kubernetes clusters.
  • Familiarity / completion of Advanced Communications Signals Analysis Course (452), Intermediate Communications Signals Analysis Course (452).
  • Working knowledge of SONET/SDH/OTN, ETHERNET, PCM, VSAT, OSI Model and Computer to Computer (C2C) structure, and/or technologies/protocols such as: MPLS, VLAN, Pseudowire, TDMoIP, ATM, Frame Relay, Cisco, Nortel, TCP, UDP, VCAT, VOIP, VoFR and Voice/Video encoding.

You are responsible for:

  • Testing the integration of GOTS/COTS Machine Learning models into FETS current product line. This position will be focused on quantitative and qualitative testing along with optimizing system performance. These efforts will require characterization of large data sets through some level of automation.

BENEFITS - Full-time Employees

  • 401K with employer contribution. Fully vested at 1 year anniversary.
  • Five (5) weeks comprehensive annual leave (25 workdays).
  • Additional leave can be earned in lieu of overtime.
  • 11 Paid Federal Government Holidays.
  • Up to $5,000 annually for individually tailored education / training program.
  • All education plans must be pre-approved by Advantage Engineering management.
  • Life Insurance at 1x annual salary with employee option to purchase additional coverage for self and dependents.
  • Short-term and long-term disability.
  • We contribute a generous portion towards the cost of monthly medical plans for any of the three medical, 1 dental and 1 vision plan provided by CareFirst.
  • All employees are eligible to earn generous incentives and performance bonuses.

AEITS, a GTSC company, is proud to be an equal opportunity employer, committed to recruiting, hiring, and promoting qualified people of all backgrounds, regardless of sex, race, color, creed, national origin, religion, age, marital status, pregnancy, physical, mental or sensory disability; sexual orientation; gender identity or any other basis protected by federal, state or local law. Learn more about your EEO rights as an applicant.

GTSC is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. If you have a disability and require assistance with our online application process, please tell us how we can help by contacting us at Recruiting@GTSC.com

Note: This accessibility is intended for individuals requiring accommodation and should not be used to check the status of your application. Inquiries not specific to requesting accommodation will be discarded.

GTSC participates in the E-Verify program in all locations as required by law. Learn more about the E-Verify program.

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