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Staff Software Engineer

180k – 231kIrvine, CAFullstack EngineeringOnsite7+ YOE
Summary

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 and manufacturing workflows.

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.
Skills
GoPythonJavaScriptTypeScriptReactPostgreSQLSnowflakeKubernetesAWSAzureLLMsRAGMicroservicesDistributed SystemsETL
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