Software Engineer – Satellite Modeling and Tasking at Array Labs

Palo Alto, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, Defense, Satellite TechnologyIndustries

Requirements

Bachelor’s degree in engineering, computer science or a related field, with 3+ years of experience
At least two of the preferred skills and experiences listed
Experience developing autonomous systems and integrating them into larger operational frameworks
Understanding of how to create, configure, and manage Docker containers
Experience with continuous integration systems and automated test execution pipelines (Gitlab preferred)
Strong programming skills in languages such as Python, C++, or Rust
Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)
Familiarity with database systems and CRUD operations in database management, preferably PostgreSQL and TimescaleDB
Familiarity with RESTful API design and implementation
Experience with physics-based software packages and/or model-based digital engineering tools
U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State (ITAR requirements)

Responsibilities

Building and implementing automation solutions for spacecraft and ground station for operating swarms of coordinated imaging satellites
Implement controllers developed by GNC engineers to plan and execute satellite maneuvers, including orbit corrections and station-keeping, to optimize satellite positions and performance
Develop and maintain mission planning software that integrates mission design, operational concepts, and flight hardware requirements
Design and implement systems to manage asynchronous data streams, integrating real-time information to generate and upload new decisions and schedules
Design architecture concepts considering spacecraft coordination, payload and system budget capabilities, data collection requirements, autonomy, and mission operations
Implement automation and algorithms for precise orbit determination of Array Labs and GNSS satellites
Evolve and implement models to characterize vehicles and satellite systems propulsion, power, precision, navigation, timing, and tracking requirements
Optimize schedules to maximize imagery opportunities based on imaging priorities and system capabilities

Skills

Key technologies and capabilities for this role

PythonC++Mission PlanningOrbit DeterminationGNCAutomationReal-time SystemsSatellite SystemsPropulsion ModelingPower SystemsNavigationScheduling AlgorithmsGNSSData StreamsAutonomy

Questions & Answers

Common questions about this position

What are the basic qualifications for this Software Engineer role?

Candidates need a Bachelor’s degree in engineering, computer science or a related field with 3+ years of experience, at least two of the preferred skills, and experience developing autonomous systems integrated into larger frameworks.

What programming languages and technical skills are required?

Strong programming skills in Python, C++, or Rust are required, along with experience in Docker containers, continuous integration systems like Gitlab, cloud platforms such as AWS/GCP/Azure, containerization like Kubernetes, database systems like PostgreSQL/TimescaleDB, and RESTful APIs.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What preferred skills would make me stand out for this role?

Preferred skills include knowledge of precision orbit determination methods and familiarity with tools like FreeFlyer, STK, GMAT, or custom-developed orbit modeling software.

Array Labs

Provides high-resolution 3D geospatial imagery

About Array Labs

Array Labs specializes in creating high-quality 3D imagery using a network of small satellites called radar cubesats. These satellites work together to capture images of the same area from different angles, resulting in 3D images that are significantly more detailed than other options available. The company serves various clients, including government agencies and urban planners, who need accurate imagery for tasks like mapping and disaster response. Array Labs operates on a subscription model, allowing clients to access its continuously updated imagery data. Additionally, they offer a pilot program for early access customers to help refine their product based on user feedback. Their unique satellite system enables them to capture large areas quickly, providing timely data regardless of weather or terrain conditions. The goal of Array Labs is to enhance the geospatial imaging industry by offering cost-effective and precise 3D imagery solutions.

Thousand Oaks, CaliforniaHeadquarters

2019Year Founded

$5.4MTotal Funding

SEEDCompany Stage

Data & Analytics, Government & Public Sector, Enterprise SoftwareIndustries

11-50Employees

Benefits

Stock Options

Company Equity

Flexible Work Hours

Professional Development Budget

Risks

Increased competition from companies like Maxar Technologies challenges Array Labs' market position.

Regulatory changes in satellite deployment and data privacy could impact operations.

Open-source geospatial data platforms may attract potential customers away from Array Labs.

Differentiation

Array Labs uses radar cubesats for high-resolution 3D imagery, unlike competitors.

Their imagery is 10 times more detailed than existing alternatives, at lower costs.

The company offers a unique early access pilot program for customer collaboration.

Upsides

Growing demand for real-time geospatial data benefits Array Labs' rapid imaging capabilities.

Smart city initiatives globally require detailed 3D mapping, boosting Array Labs' market.

Advancements in AI enhance 3D imagery analysis, providing Array Labs a competitive edge.

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