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Founding Software Engineer

Beyond Reach Labs

New York, NYFull-timeSeen 2w agoStill listed 1 day ago

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At a glance

Compensation
No compensation found
Location
New York, NY
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Beyond Reach Labs is designing the largest deployable structures for space, using data‑driven simulation. The Founding Software Engineer will build internal engineering tools, develop front‑end visualizations, maintain back‑end data systems, and stand up compute infrastructure to enable large‑scale simulations.

Skills & qualifications

RequiredNice to have

Skills

Front‑End DevelopmentBack‑End DevelopmentCloud InfrastructureHigh‑Performance ComputingCI/CDData Storage SolutionsSoftware Tool DevelopmentAutonomous WorkSimulation Fidelity ImprovementHardware‑Focused Engineering Experience

Qualifications

Bachelor’s Degree in Computer Science or Greater or 3-5 Years Software Engineering Experience

Full job description

They say the best deployable is no deployable, but we believe large deployable mechanisms are the future for large infrastructure in space. At Beyond Reach Labs, we are designing and building the largest deployable structures ever flown to space. We believe data-driven simulation is key to the design, validation, and iterative improvement of these structures. As a Founding Software Engineer, you will be responsible for building critical internal engineering tools that enable and accelerate the design and analysis process. As an early engineer, you will be responsible for a large scope of software engineering, including the development and maintenance of front-end tools that help with visualization and analysis, back-end data systems to collect and organize large amounts of test and simulation data, and standing up the compute infrastructure required to run large-scale simulations. Key Responsibilities:

  • Tool Development • Quickly deploy new internal web-based tools for data analysis or visualization that empower our mechanical engineers to make better decisions and streamline workflows

  • Communicate with our leadership and engineering teams to understand needs and requirements, proactively suggesting ways these can be met with the right software tools, whether they are purchased or developed internally

  • Work with high performance scientific computing software to improve performance, robustness, metric reporting, and ease-of-use

  • Compute Infrastructure • Spin up and maintain compute capability for large-scale simulations that can take hours or days to run, benefit from live reporting, and flexible post-run analysis and visualization tooling

  • Deploy performant data storage solutions for simulation and test data that allow engineers to easily access historical data and incorporate it into their own analysis tools

  • Ensure good CI coverage while minimizing friction for non-software engineers working within a shared codebase

  • Develop, maintain, and improve pipelines for deploying internal tools quickly and safely

  • Real-to-Sim Development (nice-to-have) • Work with the simulation team to develop data and compute pipelines for improving simulation fidelity by leveraging data collected from tests and actual customer deployments

  • Develop innovative solutions and algorithms for data-driven improvement of our in-house simulation models

  • Build solutions that scale to many programs, customers, and individual products

Basic Qualifications

  • Either: • Bachelor’s degree or greater in Computer Science, Software Engineering, or Computer Engineering, or

  • 3-5 years experience working as a Software Engineer

  • Knowledge of software best practices across front-end, back-end, and cloud infrastructure

  • Experience developing software tools from 0 to 1

  • Demonstrated ability to work autonomously and take project ownership of projects with unclear or frequently-changing requirements

Preferred Qualifications

  • 5 years experience in hardware-focused engineering organizations
  • Experience working on high-performance scientific computing projects
  • Experience working on sim-to-real solutions in aerospace or robotics companies

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