Hybrid Optimization & Scheduling Engineer

Aalyria

United States

Hybrid

USD 135,000 - 185,000

Full time

14 days+
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Benefits offered by this job

Innovative environment
Impactful work on national security
Growth opportunities
Inclusive culture
Hybrid remote/in-office schedules
Salary, benefits, PTO, equity

Job summary

Aalyria is seeking a highly skilled Software Engineer to join the Spacetime engineering team. You will design, develop, and optimize core software for high-performance network resource allocation and scheduling, translating complex requirements into robust models and scalable solutions.

The role offers flexible hybrid remote/in-office work within the United States, with opportunities to contribute across multiple projects while advancing in a cutting-edge aerospace tech environment.

Qualifications

  • Bachelor's degree or equivalent practical experience in Computer Science or a related field.
  • 5+ years of production software development experience.
  • Strong fundamentals in algorithms, data structures, 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

Algorithms & data structures
Production software development
Golang/C/C++/Rust/Java
Testing & debugging

Education

Bachelor's degree in Computer Science or related field

Tools

Golang
C/C++
Rust
Java

Job description

Aalyria is seeking a highly skilled Software Engineer to join the Spacetime engineering team. You will design, develop, and optimize core software for high-performance network resource allocation and scheduling, translating complex requirements into robust models and scalable solutions.

The role offers flexible hybrid remote/in-office work within the United States, with opportunities to contribute across multiple projects while advancing in a cutting-edge aerospace tech environment.

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