Senior Software Engineer - Optimization & Scheduling

Aalyria

Town of Montana (WI)

Hybrid

USD 130,000 - 210,000

Full time

10 days ago
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Benefits offered by this job

Competitive salary
Equity
Hybrid work arrangement
Comprehensive benefits

Job summary

Aalyria, a leading technology company specializing in laser communications and temporospatial software-defined networking for aerospace, is seeking a Software Engineer for the Spacetime team. You will work with experienced engineers on core software development, optimization, testing, and delivery of high-performance systems.

The role emphasizes tackling complex problems, scalable solver architectures, and collaboration across disciplines, with hybrid remote/in-office options and opportunities

Qualifications

  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
  • 8 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

Education

Bachelor's degree in Computer Science or related field

Job description

Aalyria, a leading technology company specializing in laser communications and temporospatial software-defined networking for aerospace, is seeking a Software Engineer for the Spacetime team. You will work with experienced engineers on core software development, optimization, testing, and delivery of high-performance systems.

The role emphasizes tackling complex problems, scalable solver architectures, and collaboration across disciplines, with hybrid remote/in-office options and opportunities

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