Infrastructure Engineer IV

• Lead the design, development, and operation of CI/CD, build tooling, simulation environments, and cloud infrastructure for the VNS and GNC software stacks
• Build unified packaging and release management for firmware, spacecraft software, ground systems, and cloud services
• Build and maintain test and release workflows for multiple teams, ensuring high test coverage and build reproducibility
• Own and improve build tooling; optimize CI and build times to improve engineer productivity
• Manage shared testing pipelines to improve PR merge speed and development velocity
• Support data processing pipelines and visualization tooling on the ground and in the cloud
• Design and manage storage, versioning, and distribution strategies for large versioned data assets
• Support infrastructure for ML training workflows, including compute provisioning, dataset management, and experiment reproducibility
• Design, review, and maintain cloud infrastructure, managing reliability, security, and cost
• Establish developer workflows, automation, and documentation that improve reliability and engineering velocity
• Partner with perception, GNC, avionics, flight software, systems engineering, and mission operations teams
• Diagnose complex build, deployment, and infrastructure issues; contribute to architectural decisions, conduct technical reviews, and mentor other engineers

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field; equivalent practical experience may be considered
• 10+ years of professional software engineering experience, with significant experience in Dev Ops, build/release engineering, and/or cloud infrastructure roles
• Experience managing builds and deployment environments with high test coverage and build reproducibility
• Strong experience designing and operating CI/CD pipelines, build systems, and release management for multi-team codebases
• Experience designing, deploying, and reviewing cloud infrastructure (e.g., AWS, GCP, or Azure), including infrastructure-as-code (e.g., Terraform)
• Experience developing and debugging in Linux environments; strong scripting and automation skills in Python or similar languages
• Experience dealing with large versioned data assets and the pipelines that process them
• Strong understanding of software architecture, automated testing, and maintainable software design
• Demonstrated ability to resolve complex system-level issues and communicate effectively across software, algorithm, hardware, and systems engineering teams
• U.S. citizenship, lawful permanent residence in the U.S., protected individual status under 8 U.S.C. 1324b(a)(3), or eligibility to obtain required U.S. Department of State authorizations
• Desired:
  Master's or PhD in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, or a related field
• Desired:
  Experience supporting Dev Ops for embedded or firmware targets, including cross-compilation and hardware-in-the-loop test infrastructure
• Desired:
  Experience supporting ML training infrastructure, dataset versioning, or experiment tracking
• Desired:
  Familiarity with C++ build systems such as CMake or Bazel and large C++ codebases
• Desired:
  Experience developing software for spacecraft, aerospace, robotics, autonomous vehicles, defense systems, or other mission-critical applications
• Desired:
  Experience with data processing pipelines and visualization tooling on the ground and in the cloud
• Desired:
  Familiarity with computer vision, visual navigation, state estimation, or perception pipelines
• Desired:
  Experience with flight software interfaces, telemetry and commanding, software- or hardware-in-the-loop testing, or mission operations

Demonstrates expertise in designing and operating CI/CD pipelines, build systems, and cloud infrastructure, with a strong focus on automation, reliability, and engineering velocity. Proficient in managing large versioned data assets and supporting ML training workflows, while effectively collaborating across multidisciplinary teams.

• CI/CD Pipeline Design
• Cloud Infrastructure Management
• Build/Release Engineering
• Scripting in Python
• Automated Testing

• Dev Ops
• Build Tooling
• Release Management
• Infrastructure-as-Code
• Linux Development
• Data Processing Pipelines
• Software Architecture
• Automated Testing
• Version Control
• Experiment Reproducibility

• Effective Communication
• Mentoring
• Problem Solving

• Spacecraft Software
• Aerospace Engineering
• Robotics
• Mission-Critical…