Constellation Automation and Optimization Engineer (CS- 64)

Capella Space

San Francisco, CA, US
  • Job Type: Full-Time
  • Function: Engineering QA
  • Post Date: 03/04/2021
  • Website: capellaspace.com
  • Company Address: , San Francisco, CA

About Capella Space

Capella Space is an information services company that provides on-demand sub 0.5m very high-resolution Synthetic Aperture Radar (SAR) Earth observation imagery.

Job Description

Description

Capella is at the forefront of making vital information about our world accessible in a timely manner. We’re leveraging proven technologies and building new capabilities to create a constellation of SAR satellites that can collect information about any spot on the planet within an hour.

At Capella you’ll work in a collaborative team environment, alongside smart people with a history of space mission success. No prior space experience is needed—we’re looking for people excited about tackling seemingly impossible challenges, learning new skills and concepts, and helping each other achieve success.

Our mission and our products are meant to understand the whole world and help everyone in it, regardless of race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger.

We value diversity at Capella and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position, but are not sure if you are the perfect fit, please apply!

The tasking and scheduling team is responsible for building, maintaining, and improving the software and systems responsible for constellation management and activity scheduling. You will be working cross-functionally with Capella’s Space Operations, Spacecraft Engineering, Product Engineering, and Sales teams to build an industry-leading Earth observation satellite tasking system. As part of the space operations team, you will be interacting on a daily basis with other software engineers, spacecraft operators, satellite engineers, and data product engineers to develop a highly autonomous spacecraft operations system. You will have a demonstrable track record of working with complex systems, understanding system capabilities and setting the engineering development path for making complex technologies easy to use.

 

As a Planning and optimization engineer, your work will primarily involve contributing to our constellation tasking and scheduling platform to automate spacecraft operations, analyze constellation capacity, and build software services used in our mission critical operations. We are a team of flexible engineers, addressing challenges across mission planning, optimization, mission analysis, satellite automation, Guidance, Navigation, and Control, and software engineering domains. This includes scheduling algorithm development, RESTful API development, system testing, mission performance and capacity analysis, and operations optimization. Day-to-day responsibilities include developing new automation and scheduling capabilities, supporting front-end development teams building customer-facing tasking APIs, and building new tools to understand, analyze, and operate the constellation automation systems. The position is available in San Francisco or Boulder.

Requirements

Ideal Qualifications:

  • Good communications skills, ability to work collaboratively in a team environment, and enjoyment of learning from and teaching other team new skills.
  • Experience knowledge of at least one (preferably multiple) mathematical optimization fields such as convex optimization, integer programming, and dynamic programming.
  • Familiarity with optimization software libraries (Gurobi, CPLEX, CVX, SCIP, etc.)
  • Ability to understand, break down, and solve complex problems independently.
  • Good knowledge of a programming language. Either scripted (Python, Julia, etc.) or complied (C, C++, Rust, etc.)
  • This position requires special access to conduct the work and requires the selected candidate to be a US Citizen or Green Card holder.
  • Expertise in software engineering with preferred experience in building backend systems using RESTful APIs
  • Knowledge of in space mission analysis, modeling complex space systems in particular interacting subsystems and constraints
  • A willingness to learn new skills and take on new responsibilities
  • Enjoyment of teaching and learning from other team members

Required Qualifications:

  • This position requires special access to conduct the work and requires the selected candidate to be a US Citizen or Green Card holder.

Benefits

Besides the opportunity to take part in an innovative and fast-growing business with a highly motivated and skilled team, we also take pride in taking care of our employees. Here are just a few ways that we show our appreciation:

  • 100% paid medical/dental/vision insurance for employees, 50% contribution toward dependents
  • Gourmet-style, daily free lunch; weekly happy hour
  • 401k plan
  • Flexible vacation policy
  • Commuter benefits including Caltrain passes and GoBike membership
  • Dog-friendly work environment (SF Location)

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.