Principal Operations Research Scientist

Quvia

. Formulate operational problems such as bandwidth allocation, routing, scheduling, capacity planning, and contention resolution as mathematical optimization models.

Posted 9/29/2026full-timeUnited StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in formulating and implementing mathematical optimization models, with a strong command of linear and mixed-integer programming, and experience in developing production-quality code in high-performance languages. Proven ability to engage with external stakeholders and translate complex operational problems into actionable solutions.

Highest-signal resume keywords

Mathematical OptimizationLinear ProgrammingMixed-Integer ProgrammingProduction-Quality CodeCommercial Solvers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Operations ResearchConstraint ProgrammingColumn GenerationMetaheuristicsLarge-Scale SchedulingHeuristics DevelopmentDecomposition MethodsDebuggingProfilingModeling APIs

Soft Skills

Stakeholder EngagementTechnical CommunicationProblem-Solving

Tools & Technologies

GurobiCPLEXOR-ToolsHiGHSJavaC++Python

Industry Keywords

Optimization SystemsProduction DeploymentCapacity PlanningRoutingSchedulingContention Resolution

Tech Stack

Tools & technologies

JavaPythonC++

About the role

Key responsibilities & impact

Formulate operational problems such as bandwidth allocation, routing, scheduling, capacity planning, and contention resolution as mathematical optimization models.
Implement optimization models in production code.
Modify and configure Grid directly against customer engagement requirements.
Write new solvers, heuristics, and decomposition schemes where existing capabilities are insufficient.
Select and defend the use of exact methods, heuristics, metaheuristics, decomposition, or hybrid approaches.
Profile, reformulate, tighten relaxations, warm-start, and cut models to meet live runtime constraints.
Build test harnesses, benchmark instances, and solution-quality measures, including edge-case validation.
Debug degraded solution quality, infeasibility, and performance regressions in deployed environments.
Document formulations, assumptions, and model behavior for government program review.
Feed field learnings into Quvia's OR and engineering roadmaps.
Support initial configuration, pilots, evaluation, and steady-state operation.
Serve as senior technical owner of Grid's optimization layer while translating mission constraints into solvable problems and model capabilities into actionable guidance for program leads.

Requirements

What you’ll need

U.S. Citizenship - Non-negotiable for this customer engagement.
8+ years of professional experience developing and deploying optimization or operations research systems in production.
Advanced degree (MS or PhD) in Operations Research or a closely related quantitative field; Computer Science and Electrical Engineering backgrounds are welcome where the optimization depth is sufficient.
Equivalent industry experience will be considered in place of the degree.
Deep, applied command of linear and mixed-integer programming, network flow, constraint programming, column generation or other decomposition methods, metaheuristics, and large-scale scheduling.
Production-quality code in a compiled or high-performance language (Java, C++, or similar) alongside Python for modeling and analysis.
Hands-on experience with commercial and open-source solvers such as Gurobi, CPLEX, OR-Tools, or HiGHS, including modeling APIs, parameter tuning, and callbacks.
Track record of working directly with external customers or stakeholders on complex technical engagements.
U.S.-based availability with regular travel to and on-site work at customer locations.
Some coordination with UK-based colleagues and stakeholders, including occasional early or late calls to cover the time difference.

Benefits

Comp & perks

401(k) with 100% match up to 4.0% after one year of service
Competitive health benefits, including optical and dental
Life Insurance
Performance Bonus
Flexible paid time off policy
Monthly Phone Allowance
Connectivity and content engineering and business knowledge
Opportunity to work in cross-functional teams
Competitive Salary