Jobs at Steven-Greenhouse

Lead full-life subcontract administration ensuring FAR/DFARS compliance; draft, negotiate, and manage subcontracts; conduct solicitations, cost/price analysis, and source selection; monitor subcontractor performance; support program teams, risk mitigation, audits, and process improvements; mentor junior staff.

Lead system safety activities across the product lifecycle including safety architecture, FHA/FTA/SCFTA, hazard and risk management, and safety verification testing. Develop safety program plans, technical documentation, data collection frameworks, and test plans. Serve as primary customer interface for safety reviews (THAR, NNMSB), support milestone reviews, and drive corrective actions and compliance with MIL-STD-882E.

Lead design, development, and optimization of GNC systems for Group 1-4 UAS. Architect flight control software, run SWIL/HWIL simulations, develop Matlab/Simulink models, perform controls analysis, mentor engineers, lead flight test and R&D, and produce technical documentation.

Design, analyze, and implement flight controls software for Group 1-4 UAS. Develop Matlab/Simulink models, run SW/HW-in-the-loop simulations, generate auto-code for embedded systems, support integration, ground and flight testing, and perform peer reviews with cross-functional teams.

Lead architecture, design, implementation, and verification of high-reliability embedded and application software for autonomous UAS. Own major components, drive CI/CD and deployment (GitHub Actions, AWS), collaborate with systems/GNC/hardware teams, mentor engineers, support qualification/certification (DO-178C familiarity a plus), and influence technical roadmaps for defense/aerospace platforms.

Design, implement, test, and maintain high-reliability, safety-critical application and utility software for UAS. Collaborate cross-functionally to build reusable tools, support build automation, system integration, scripting, CI/CD (GitHub Actions), and assist deploying software to AWS.

Design, build, and operate scalable hybrid compute infrastructure (cloud and on-prem) for large-scale autonomous vehicle simulations. Implement Kubernetes orchestration, job scheduling, CI/CD, IaC/GitOps, monitoring, networking, storage, and automation to support massive parallel simulation workloads and ML training. Collaborate with autonomy, ML, and robotics teams to optimize performance, reliability, and cost.

Design, prototype, and deploy enterprise-grade internal applications and a custom ERP using AI-assisted tools. Build APIs, databases, dashboards, workflow automation, and third-party integrations while ensuring security, scalability, and maintainability. Rapidly iterate with stakeholders and establish development standards and deployment pipelines.

Develop and test embedded firmware for UAS flight systems. Integrate sensors and processors, debug hardware/software issues using oscilloscopes and logic analyzers, write real-time RTOS-based code in C/C++, perform flight test validation, and collaborate with cross-functional engineering teams.

Lead and grow a GNC engineering team to develop, integrate, and validate embedded flight control, mission management, and payload software for UAVs. Provide technical direction and architecture for GNC algorithms, coordinate cross-functional integration, oversee SWIL/HWIL and flight test validation, ensure DO-178C/ARP4754 compliance, manage project execution, and improve development processes and documentation.

Build and maintain backend integrations, front-end monitoring views, CI/CD pipelines, and infrastructure automation for UAS systems. Ensure monitoring, security, and performance optimization while collaborating with hardware and software teams and documenting best practices.

Develop and maintain custom PX4 autopilot firmware, modify flight control algorithms, integrate sensors and payloads, build SITL/HITL simulation environments, configure cross-compilation and build pipelines, implement MAVLink/UART communications, support flight testing and system integration with companion computers and ROS2-based autonomy stacks.

Build production-grade, responsive web dashboards and reusable UI components (React/TypeScript) for autonomy datasets. Create advanced visualizations (time-series, geospatial, 3D trajectories, real-time streaming), optimize frontend data flow and performance, design intuitive UX and design systems, connect to APIs/databases, perform client-side processing, and collaborate with data scientists and engineers to deliver analytics tools and reporting.