Flight Sciences Tools Development Engineer

Headquartered in Silicon Valley, California, Archer is a leader in the next-gen aerospace sector building an end-to-end advanced air mobility platform that delivers air taxis, unmanned aircraft systems (“UAS”), aviation-related physical artificial intelligence (“AI”) solutions, and other technologies to customers worldwide across the commercial aerospace and defense sectors.

Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.

What you’ll do:

• Tools Development: Partner with the Flight Dynamics & Controls (FD&C) and GNC teams to design, build, and maintain the analysis and simulation tools they depend on, including aero parameter delivery pipelines, automated 6DOF plant model generation, trim and linearization utilities, and data reduction and validation tools.
• Toolchain Automation & Deployment: Own the automated toolchain that generates, builds, tests, and deploys MATLAB/Simulink models and analysis code across desktop simulation, Hardware-in-the-Loop (HIL), and flight targets, working closely with the Platform embedded software team.
• CI/CD & Verification: Architect and maintain CI/CD workflows and automated regression and verification testing for models, data pipelines, and export workflows (GitHub Actions, GitLab Runner, TeamCity, Simulink Test), including test-vector generation for multi-dimensional lookup-table models.
• HPC & Scale: Build and scale High-Performance Computing (HPC) infrastructure and job-scheduling workflows (e.g., Slurm) for large-scale 6DOF Monte Carlo simulations and batch regression testing.
• Data & Interfaces: Manage the software interfaces and data infrastructure between the “virtual vehicle” simulation and downstream platforms, including data dictionaries, schema-enforced databases, signal mapping, and Interface Control Documents (ICDs), and enable programmatic access for controls analysis workflows such as linear time-invariant (LTI) system analysis.
• Integration: Develop C/C++ integrations (S-functions, wrapper functions, and test harnesses) to bring compiled code and external libraries into the MATLAB/Simulink environment.
• Adoption & Best Practices: Package, document, and release reusable analysis tools, and drive engineering best practices, including version control, traceability, and iterative development (sprint planning, backlog management), across the modeling, controls, and data teams.