Optimization Systems Engineer: High-Performance Solvers

aalyria-careers; United States; Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Hybrid remote/in-office schedules

Competitive salary and equity

Job summary

Aalyria is seeking a software engineer to join the Spacetime team, designing and building high-performance systems for complex network-resource allocation. You will translate requirements into computational models, improve scalability and explainability, and evolve solver architecture to handle increasing load.

The role offers a hybrid remote/in-office setup with a focus on collaboration among seasoned engineers and exposure to national security initiatives in aerospace communications.

Qualifications

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 5+ years experience designing and developing production software systems.
• Strong fundamentals in algorithms, data structures, software design, testing, and debugging.
• Experience building algorithmically complex, computationally intensive, or performance-sensitive software.
• Proficiency in Golang, C/C++, Rust, or Java.

Responsibilities

• Design and build high-performance optimization and scheduling systems for complex network-resource allocation problems.
• Translate complex product and network requirements into effective computational models.
• Improve solution quality, runtime, scalability, and explainability as problem complexity grows.
• Evolve solver architecture to improve scalability, robustness, and reliability under increasing system complexity and load.

Skills

Golang

C/C++

Rust

Java

Algorithms

Data structures

Software design

Education

Bachelor's degree in Computer Science or related field

Job description

Aalyria is seeking a software engineer to join the Spacetime team, designing and building high-performance systems for complex network-resource allocation. You will translate requirements into computational models, improve scalability and explainability, and evolve solver architecture to handle increasing load.

The role offers a hybrid remote/in-office setup with a focus on collaboration among seasoned engineers and exposure to national security initiatives in aerospace communications.