Top Tech Jobs & Startup Jobs

Performs structural dynamics, vibration, acoustics, and system-level analyses for Falcon launch vehicles and Dragon spacecraft. Responsibilities include resolving dynamics problems through analysis and testing, monitoring vehicle and engine performance using flight data, planning and executing dynamic tests, processing signals, correlating models, driving hardware or operational changes, and developing analytical software. The role requires engineering fundamentals, structural dynamics experience, programming, and finite element modeling expertise.

Sources mechanical and electromechanical hardware for Starlink by placing purchase orders, forecasting demand, managing suppliers, negotiating contracts, reducing costs, and coordinating outsource fabrication projects. The role evaluates supplier capacity and performance, interprets engineering drawings and bills of materials, develops sourcing strategies, manages contract obligations, and collaborates with engineering, manufacturing, legal, vendors, and leadership. Onsite work and travel of up to 20–50% are required.

Design and implement satellite GNC software, conduct high-fidelity modeling and simulations, and validate flight performance through rigorous testing, ultimately ensuring mission success for Starshield satellites.

Leads design, deployment, operation, security, and optimization of Starshield’s Top Secret data center networks supporting large-scale AI clusters. Responsibilities include optical and copper connectivity, routing and switching, automation, capacity planning, troubleshooting, reliability improvements, network integration, firmware updates, and mentoring engineers. The role requires collaboration with ML, hardware, software, and network teams, on-call availability, extended hours, and domestic or international travel as needed.

Design, deploy, operate, and optimize secure, high-speed data center networks supporting Top Secret AI infrastructure and national security missions. Responsibilities include optical and copper connectivity for large GPU clusters, network automation, capacity planning, performance monitoring, troubleshooting, security improvements, configuration and firmware updates, and cross-functional network integration. The role also mentors junior engineers, leads technical initiatives, participates in on-call rotations, and may require extended hours and domestic or global travel.

Lead the design, deployment, operation, and optimization of secure, high-performance data center networks supporting large-scale AI clusters and national security missions. Responsibilities include optical and copper connectivity, network automation, capacity planning, troubleshooting, security improvements, hardware and firmware integration, performance monitoring, and mentoring junior engineers. The role requires collaboration with ML, hardware, software, and network teams, on-call availability, extended hours when needed, travel, and obtaining a Top Secret clearance.

Design, deploy, operate, and scale GPU/CPU infrastructure supporting classified AI and national security missions. Responsibilities include managing Kubernetes and AI clusters, automating on-premise infrastructure deployments, supporting GPU-as-a-service platforms, operating databases, monitoring, and distributed storage, and improving service reliability, scalability, and availability. The role collaborates closely with AI engineers and requires Linux, infrastructure automation, containerization, scripting, software development, and security-clearance eligibility.

Design, deploy, operate, and scale GPU/CPU infrastructure supporting classified national security missions. Responsibilities include managing Top Secret datacenter deployments, GPU-as-a-service platforms, large-scale AI clusters, Kubernetes, operating systems, databases, monitoring, distributed storage, automation, and high-availability services. The role partners with AI engineers, improves service lifecycles, and develops solutions for performance, reliability, and operational scalability.

Design, deploy, operate, and scale GPU and CPU infrastructure supporting classified national security missions. Manage Kubernetes and AI clusters, Linux systems, databases, monitoring, distributed storage, virtualization, and GPU-as-a-service platforms. Build automation for large-scale on-premise environments, improve reliability and performance, collaborate with AI engineers and customers, and mentor junior engineers. Lead technical decisions and service lifecycles while supporting high availability across Top Secret data centers.

Design, deploy, operate, and scale GPU/CPU infrastructure supporting classified national security missions. Manage Kubernetes and AI clusters, bare-metal and virtualized platforms, operating systems, databases, monitoring, and distributed storage. Build automation with infrastructure tools, improve service availability and performance, collaborate with AI engineers, mentor junior staff, and provide technical leadership. The role requires obtaining and maintaining a Top Secret clearance, extended-hours availability, and future domestic and international travel.