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Manager Radio Network Optimization Engineer Jobs

At Chevron, an Optimization Engineer uses operations research which is a mathematical science ... Understanding of supply chain management and logistics. Relocation Options: Relocation may be ...

RF Engineer

Fort Morgan, CO · On-site

$95K - $120K/yr

Responsibilities: * Performs advanced monitoring and review of radio network Key Performance ... Provides input to management on tactical and strategic issues. Minimum Requirements: * 5 years ...

RF Engineer

Brighton, CO · On-site

$95K - $120K/yr

Responsibilities: * Performs advanced monitoring and review of radio network Key Performance ... Provides input to management on tactical and strategic issues. Minimum Requirements: * 5 years ...

RF Engineer will support the planning and performance optimization activities for WCDMA/LTE (3G/4G ... Minimum 1 year of experience with WCDMA/LTE (3G/4G) Radio Network Planning and Optimization ...

... management, development and acquisition of generation assets, operation of power plants and more ... The Optimization Engineer will support the development of new and existing optimization and ...

RF Engineer will support the planning and performance optimization activities for WCDMA/LTE (3G/4G ... Minimum 1 year of experience with WCDMA/LTE (3G/4G) Radio Network Planning and Optimization ...

Participate in software release management to ensure requests and complaints are addressed in ... Integrate Push to Talk system with Radio Network Systems. Perform End to End Testing. To apply for ...

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Manager Radio Network Optimization Engineer information

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$31K

$109K

$158K

How much do manager radio network optimization engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for manager radio network optimization engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Radio Network Optimization Engineer vs Radio Network Optimization Engineer?

AspectManager Radio Network Optimization EngineerRadio Network Optimization Engineer
CredentialsBachelor's degree in Telecommunications, Engineering, or related field; certifications like Nokia, Ericsson, or Cisco are commonBachelor's degree in Telecommunications, Engineering, or related field; similar certifications
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms technical optimization tasks, analyzes network performance
Industry UsageUsed in telecom companies, network providers, and large-scale operatorsCommonly employed in similar settings for technical roles

The main difference is that the Manager Radio Network Optimization Engineer oversees teams and projects, while the Radio Network Optimization Engineer focuses on technical network analysis and optimization tasks. Both roles require similar credentials and are integral to telecom network performance, but the manager role involves leadership and strategic planning.

More about Manager Radio Network Optimization Engineer jobs
What cities are hiring for Manager Radio Network Optimization Engineer jobs? Cities with the most Manager Radio Network Optimization Engineer job openings:
What are the most commonly searched types of Radio Network Optimization Engineer jobs? The most popular types of Radio Network Optimization Engineer jobs are:
What states have the most Manager Radio Network Optimization Engineer jobs? States with the most job openings for Manager Radio Network Optimization Engineer jobs include:
What job categories do people searching Manager Radio Network Optimization Engineer jobs look for? The top searched job categories for Manager Radio Network Optimization Engineer jobs are:
Infographic showing various Manager Radio Network Optimization Engineer job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 2% Part Time, and 10% Contract. Highlights an 88% Physical, and 12% Hybrid job distribution, with an average salary of $109,040 per year, or $52.4 per hour.

AI Engineer - Routing & Network Optimization

Gallatin AI, Inc

El Segundo, CA • On-site

$80K - $210K/yr

Full-time

Medical, Retirement, PTO

Posted 15 days ago


Job description

About Gallatin
At Gallatin, we are rebuilding logistics infrastructure for the national security missions of the United States and allied partners. We build AI systems that determine how logistics decisions are made - not just how they're executed. From factory to foxhole, we operate at the layer where data becomes decisions, and decisions make the advantage.
About the Role
We're looking for an AI Engineer - Routing & Network Optimization to own how supplies, vehicles, and materiel move across Gallatin's global distribution networks.
In this role, you will build the systems that determine how things move through time-phased, capacity-constrained, and risk-aware networks at scale. Your work transforms AI-driven intent and operational demand into optimal, executable routes across thousands of assets and nodes.
You will work closely with feasibility, packing, optimization, and AI-agent teams to ensure routing decisions are correct, scalable, and resilient under real-world operational volatility.
What You'll Do
Build & Own Routing and Network Models
  • Design and implement routing models across transportation, warehousing, and resupply networks.
  • Encode constraints related to:
    • Distance and time
    • Asset and lane capacity
    • Availability, readiness, and risk
  • Support multi-hop, time-phased, and event-aware routing across dynamic networks.
Algorithm Engineering & Optimization
  • Implement and tune routing solvers using exact, heuristic, and hybrid algorithms.
  • Scale routing algorithms to large graphs, real-time updates, and uncertain inputs.
  • Evaluate tradeoffs between solution quality, runtime, and operational robustness.
Network Data Ownership
  • Own routing datasets including nodes, edges, costs, capacities, and constraints.
  • Validate and maintain network representations used by all routing and planning systems.
  • Handle data gaps, uncertainty, and changing network conditions without breaking execution.
Production Integration
  • Integrate routing systems into real-time and batch planning pipelines.
  • Partner with feasibility, simulation, and execution teams to validate route executability.
  • Support scenario testing, what-if analysis, and iterative optimization based on real operational feedback.

What We're Looking For
Strong Engineering & Optimization Skills
  • Strong programming skills in Python or similar, with experience translating mathematical models into production-grade systems.
  • Experience integrating routing or optimization algorithms into live planning pipelines with monitoring, validation, and performance tuning.
Operations Research & Network Optimization Background
  • Degree or equivalent experience in Operations Research, Applied Math, Industrial Engineering, Computer Science, or related field.
  • Strong foundation in:
    • Graph theory and network optimization
    • Shortest-path algorithms (Dijkstra, A*, Bellman-Ford)
    • Network flow models (max flow, min cut, min-cost flow)
  • Experience with VRP, capacitated routing, or routing with time windows.
  • Experience with large-scale graphs, time-expanded networks, or multi-commodity flow models.
  • Hands-on experience with modeling languages and solvers such as Pyomo, GAMS, AMPL, CPLEX, or Gurobi.
Systems Thinking
  • Ability to reason about scale, uncertainty, and time-dependent systems.
  • Comfort owning routing logic and data end-to-end.
  • Strong performance, correctness, and reliability mindset in high-stakes environments.

Bonus Points
  • Experience with vehicle routing or transportation systems.
  • Experience working alongside simulation or digital-twin teams.
  • Exposure to defense, government, or mission-critical logistics.
  • Experience with ML models, experimentation (A/B testing), or causal inference.
  • Experience in data operationalization and production analytics.

Mission and Identity
We are building the system that enables faster, smarter logistics decisions in contested environments, and we're doing it with a team of seasoned entrepreneurs, operators, and technologists who have built and scaled solutions in this space before. We hold ourselves to an extremely high standard. We value clear thinking, direct communication, and the kind of ownership that doesn't stop until something actually works.
Our mission is to create decision advantage when the stakes are the highest. If we succeed, the system doesn't just run; it gets smarter. We're not building AI for its own sake. We're building it because faster, smarter decisions in the most demanding environments on earth can't wait. If you want to work somewhere the stakes are real and the mission is urgent - you'll fit in here.
Why Gallatin?
The logistics infrastructure that supports America's warfighters and humanitarian disaster responders is overdue for transformation, and we are building it. From defense operations to disaster response, we're solving the hardest problems that keep missions moving when it matters most. Join a team where the mission is the point.
Compensation: Gallatin offers competitive compensation commensurate with experience. Actual compensation may vary based on experience, skills, and location. In addition to base salary, we offer a generous equity grant, full healthcare coverage, 401k, unlimited PTO, and the perks of working in a high-caliber, mission-driven environment.
Gallatin is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.
This position may require the ability to obtain and maintain a U.S. government security clearance. The successful candidate must be able to work in a classified environment when necessary.
We comply with the United States Department of Labor's Pay Transparency provision.