Research Scientist, Optimization Systems

Aalyria; United States; Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Equity options

Health insurance

Dental insurance

Vision insurance

Life insurance

401(k) retirement plan

Paid time off

Job summary

Aalyria, a leading technology company delivering laser communications and temporospatial software-defined networking for aerospace, seeks a Research Scientist to advance scalable optimization for large resource allocation problems. You will partner with software engineers to translate research into production-ready capabilities, publish at top conferences, and contribute to patent applications.

This role offers a flexible hybrid remote/in-office arrangement across the United States with

Qualifications

• PhD or 3+ years of equivalent research experience in CS/engineering/math/statistics
• Strong Python and Linux proficiency
• Track record of publishing in leading venues
• Self-motivated with proactive work style
• Experience with ML or optimization libraries and related tools
• Experience with network science, graph theory or dynamic graphs and metaheuristics

Responsibilities

• Specify, research, design and develop scalable optimization algorithms for large, complex resource allocation problems.
• Apply machine learning, integer optimisation, metaheuristic, or related methods to improve solution quality and speed.
• Collaborate with researchers and engineers to translate research into production capabilities.
• Evaluate new approaches against realistic problem sizes, constraints, and performance requirements.
• Publish at leading international conferences and contribute to patents.
• Develop and maintain documentation for novel algorithms.

Skills

Python

Linux

Publication track record

Self-motivated

Education

PhD or 3+ years equivalent research experience

Tools

PyTorch

TensorFlow

JAX

Gurobi

CBC

OR-Tools

Ray

Job description

About Aalyria

Aalyria is a leading technology company that supplies laser communications technology and temporospatial software-defined networking platforms to the aerospace industry. With technology acquired from Google, Aalyria is at the forefront of innovation in satellite and airborne mesh networks, as well as cislunar and deep-space communications. We are revolutionizing the orchestration and management of planetary mesh networks using any radio or optical spectrum, any orbit, and any hardware across land, sea, air, and space.

Role Overview

As a Research Scientist, you’ll contribute to state-of-the-art algorithms which advance the most challenging large-scale optimization and resource management problems in communication networks. The successful candidate will join a vibrant and growing research team. This is an applied research role, and you will work with software engineers to integrate research efforts into practical capabilities that can operate at the scale and speed required by Spacetime’s production systems.

Key Responsibilities

• Specify, research, design and develop scalable optimization algorithms for large, complex resource allocation problems.
• Apply techniques from machine learning, integer optimisation, metaheuristic, or other algorithms to improve solution quality and computational efficiency.
• Collaborate with researchers and engineers to translate research into commercial product capabilities.
• Evaluate new approaches against realistic problem sizes, constraints, and performance requirements.
• Publish at leading international conferences and contribute to patent applications.
• Develop and maintain documentation related to novel algorithms developed by the team.

Required Qualifications

• A PhD and/or 3+ years of equivalent research experience in computer science, engineering, mathematics, statistics, or related field.
• Strong skills in Python and working in Linux environments.
• A track record of publishing in leading venues such as NeurIPS, ICLR/ICML, INFOCOM/IEEE, SIGCOMM, MobiCom, or ICC/GLOBECOM.
• Demonstrated ability of working proactively in a self-motivated way.
• Experience with at least one of:
• Reinforcement learning/machine learning and associated libraries in Python (e.g. PyTorch, TensorFlow, or JAX).
• Integer optimisation and associated libraries (e.g. Gurobi, CBC, Google OR tools).
• Network science, graph theory, geometric deep learning, or representation learning on dynamic graphs (e.g. clustering, temporal GNNs).
• Metaheuristic algorithms.

Preferred Qualifications

• Experience working in the wireless communication, satellite communications and/or software defined networking space.
• Experience deploying optimization or ML models into production systems with real-time or near-real-time performance constraints.
• Familiarity with satellite orbital mechanics, RF link budgets, or scheduling problems in constrained networks.
• Experience with distributed computing frameworks (e.g., Ray, Dask) for scaling optimization or training workloads.
• Contributions to open-source optimization, ML, or networking libraries.
• Experience mentoring junior researchers or engineers, or leading small technical workstreams.

What We Offer

• Innovative Environment: Work at a cutting-edge company shaping the future of aerospace communications.
• Impactful Work: Directly contribute to critical national security programs and initiatives.
• Growth Opportunities: Expand your career with opportunities for professional development and advancement.
• Inclusive Culture: Be part of a collaborative, supportive, and inclusive workplace where your contributions matter.
• Flexibility: Flexible working arrangements including hybrid remote/in-office schedules.
• Compensation and Equity: Competitive salary, comprehensive benefits (401(k), dental, vision, health, life insurance), paid time off, and equity options.

ITAR/EAR Requirements

This position involves access to export-controlled information. To comply with U.S. government export regulations, applicants must meet one of the following criteria:

• Qualify as a U.S. person, which includes:
• U.S. citizen or national
• U.S. lawful permanent resident (green card holder)
• Refugee under 8 U.S.C. 1157
• Asylee under 8 U.S.C. 1158
• Be eligible to access export-controlled information without requiring an export authorization.
• Be eligible and reasonably likely to obtain the necessary export authorization from the appropriate U.S. government agency.

The company reserves the right to decline pursuing an export licensing process for legitimate business-related reasons.

Equal Opportunity Employer Statement

Aalyria is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Qualified applicants from all backgrounds are encouraged to apply.

The Pay Range For This Role Is

120,000 - 145,000 USD per year (Remote (United States))

135,000 - 150,000 USD per year (Remote (San Francisco, CA))