What You’ll Be Doing

As a Senior Software Engineer on Quindar’s Flight + Plan team, you will lead the design and development of mission-planning systems that support real-world spacecraft operations. Your work will focus on optimization, scheduling, operational automation, and high-performance backend services across Quindar’s platform.

You’ll work primarily in Python to build reliable production systems that solve computationally demanding planning problems. These systems must process large search spaces, respond with low latency, and scale from individual spacecraft to large satellite constellations. You’ll develop and validate algorithms, design distributed services, and improve the performance and operational resilience of mission-critical workflows.

This role sits at the intersection of optimization, backend software engineering, and space operations. You’ll collaborate closely with software engineers, flight dynamics engineers, satellite operators, frontend engineers, and product leaders to turn complex operational requirements into maintainable and scalable software.

We’re looking for an engineer who combines strong software fundamentals with mathematical problem-solving skills and sound engineering judgment. You should be comfortable taking ownership of ambiguous technical problems, evaluating tradeoffs, and carrying solutions from initial design through production operation.

Quindar encourages engineers to seek leverage through automation and AI-assisted development. We use modern engineering tools to accelerate implementation, deepen validation, improve debugging, and reduce operational friction while maintaining a high standard for correctness and reliability.

In this role, you will:

Lead the design and implementation of mission-planning, scheduling, optimization, and operational-automation systems

Develop and validate algorithms that solve complex planning and resource-allocation problems across large solution spaces

Build high-performance APIs and distributed services for low-latency and compute-intensive workloads

Improve the scalability, reliability, observability, and operational readiness of mission-critical systems

Collaborate across software, program, product, and operations to turn complex requirements into robust production solutions

Help shape technical direction, mentor other engineers, and use automation and AI-assisted practices to improve engineering velocity and quality

Required Technical Skills

Strong proficiency in Python and deep experience designing, building, and operating production backend systems

Experience developing high-performance software for low-latency, compute-intensive, or data-intensive workloads

Applied experience with optimization, scheduling, search, planning, or resource allocation, using techniques such as constraint programming, mixed-integer programming, vehicle routing, heuristics, or other operations-research methods

Strong knowledge of algorithms, data structures, computational complexity, performance analysis, and system profiling

Experience designing and troubleshooting APIs, distributed systems, relational databases, and containerized cloud applications

Strong software-engineering fundamentals, including architecture, testing, CI/CD, observability, and modern Git-based workflows

What Makes You Stand Out

You have experience with flight dynamics, orbital mechanics, astrodynamics, spacecraft operations, or aerospace modeling and simulation

You can translate ambiguous operational needs into well-defined planning, optimization, and software problems

You have hands-on experience with cislunar mission design, trajectory planning, or operations in the Earth-Moon system

You evaluate algorithmic approaches based on solution quality, runtime, scalability, reliability, and operational constraints

You balance long-term architectural thinking with pragmatic, iterative delivery and communicate clearly across disciplines

You naturally take ownership, mentor others, use automation and AI thoughtfully, and help raise the technical bar for the team