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.
180k – 231k
On-site7+ YOEFullstack Engineering
About the role
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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