Staff Software Engineer-Enterprise Tech
Lead full-stack engineering for Hyperdrive, Turion's AI-first enterprise platform. Architect scalable React dashboards, distributed data systems, and LLM integrations that automate aerospace operations.
What You'll Actually Build
Hyperdrive: The AI-First Single Pane of Glass
- Architect the future of aerospace enterprise operations—building the unified application that accelerates and automates the entire enterprise.
- Build real-time systems that visualize hardware manufacturing status, track supply chain logistics, and aggregate financial metrics into intuitive dashboards.
- Create interfaces that give Turion employees "superpowers," allowing them to manage complex aerospace business processes with the ease of a modern consumer app.
- Design systems that scale from our current operations to supporting a massive fleet of spacecraft and hundreds of employees.
Enterprise Intelligence & Automation
- Support AI-first operations — Integrate LLMs, agentic workflows, and RAG architectures to automate routine enterprise tasks.
- Build systems that proactively identify supply chain bottlenecks, optimize manufacturing schedules, and synthesize engineering reports using AI.
- Scale to millions of data points — Build hyper-performance pipelines tracking everything from individual spacecraft components to company-wide OKRs.
- Universal Automation Platform — Create internal APIs that let any Turion team add AI capabilities to their specific workflows, making autonomous operations the company standard.
The Aerospace Operating System
- Build the end-to-end platform powering Turion's internal operations and manufacturing lines.
- Design APIs for internal data tasking that let engineers request operational insights as easily as calling an Uber.
- Architect data lakes and processing systems that handle terabytes of manufacturing, test, and enterprise data daily.
- Build the Stripe/AWS of our internal operations—the platform every Turion team will use to execute their mission.
Key Responsibilities
- Lead the software engineering process from concept to production systems, setting technical direction for the products that operate the enterprise.
- Mentor and guide a team of engineers building the most critical internal tools for a rapidly scaling space company.
- Engage with hardware engineers, supply chain managers, and executives to understand their needs, turning operational bottlenecks into elegant, AI-driven software solutions.
- Architect business-critical systems including Hyperdrive, AI inference platforms, and enterprise data pipelines.
- Build and maintain APIs that let any internal developer integrate enterprise data into their specific applications.
- Collaborate with cross-functional teams including Ground Software, Flight Software, Hardware, and Finance.
- Drive architectural decisions for enterprise systems that must scale rapidly and remain highly reliable.
- Deliver solutions that simplify complex operations, making aerospace manufacturing and business logic as intuitive as deploying to AWS.
Minimum Qualifications
- Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.
- 7+ years of software development experience, with a track record of leading projects or teams.
- Expertise in full-stack development and proven ability to design, build, and test complex, data-heavy systems.
- Experience with cloud-native architectures, microservices, and distributed systems.
Preferred Qualifications
- Proficiency in Go, Python, or JavaScript/TypeScript, with strong API development experience.
- Experience integrating LLMs, AI agents, or modern machine learning tools into production applications.
- PostgreSQL, Snowflake, or data warehouse expertise—our enterprise generates a massive amount of operational data.
- Advanced React knowledge for building rich, complex single-page applications and dashboards.
- Kubernetes experience.
- Experience deploying applications on Azure or AWS.
- Experience with data engineering, ETL pipelines, and real-time processing.
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