Software Deployment Engineer (Phoenix)
Akkar, Phoenix, AZ, United States
Software Deployment Engineer (Robotics & Autonomous Systems)
*This position requires eligibility to obtain and maintain a U.S. government security clearance.*
We’re working with an innovative robotics company developing scalable, low-cost autonomous systems designed to operate collaboratively in complex environments. Their technology enables fleets of intelligent machines to coordinate, adapt, and execute sophisticated tasks across industrial and defence applications.
Their platform focuses on autonomous ground systems capable of operating independently or as part of a coordinated swarm, unlocking new levels of efficiency, resilience, and operational capability in mission-critical settings.
What You’ll Do
Own the end-to-end deployment lifecycle for software running across embedded and edge computing systems
Design and maintain CI/CD pipelines and automated workflows to ensure reliable, repeatable deployments
Develop and manage containerised environments optimised for resource-constrained hardware
Lead provisioning and update strategies for fleets of autonomous devices operating in the field
Collaborate with embedded, autonomy, and systems teams to ensure seamless hardware–software integration
Implement robust security practices across deployment pipelines and edge devices
Build scalable processes for monitoring, updating, and maintaining distributed robotic systems
Support system bring-up, testing, and production rollout across multiple hardware platforms
What We’re Looking For
3+ years of experience in DevOps, SRE, or embedded systems deployment
Strong Linux systems expertise (configuration, performance, and internals)
Experience building and maintaining CI/CD pipelines (e.g. GitHub Actions, Jenkins, CircleCI)
Hands-on experience with containerisation (Docker) in edge or embedded environments
Proficiency in Python and/or Bash scripting
Experience with configuration management tools (e.g. Ansible)
Solid understanding of embedded security principles (secure boot, system hardening, etc.)
Bachelor’s degree in Computer Science, Engineering, or related field
Ability to work onsite in Phoenix, AZ
Eligible to obtain U.S. security clearance
Preferred Experience
Experience with NVIDIA Jetson or similar embedded platforms
Exposure to robotics systems or autonomy stacks (e.g. ROS)
Familiarity with hardware/software-in-the-loop testing (HIL/SIL)
Experience with Kubernetes or distributed system orchestration
Knowledge of embedded networking and deployment in constrained or offline environments
Experience with secure bootloaders, SBOMs, or supply chain security practices
Exposure to GPU computing frameworks (e.g. CUDA, TensorRT)
*This position requires eligibility to obtain and maintain a U.S. government security clearance.*
We’re working with an innovative robotics company developing scalable, low-cost autonomous systems designed to operate collaboratively in complex environments. Their technology enables fleets of intelligent machines to coordinate, adapt, and execute sophisticated tasks across industrial and defence applications.
Their platform focuses on autonomous ground systems capable of operating independently or as part of a coordinated swarm, unlocking new levels of efficiency, resilience, and operational capability in mission-critical settings.
What You’ll Do
Own the end-to-end deployment lifecycle for software running across embedded and edge computing systems
Design and maintain CI/CD pipelines and automated workflows to ensure reliable, repeatable deployments
Develop and manage containerised environments optimised for resource-constrained hardware
Lead provisioning and update strategies for fleets of autonomous devices operating in the field
Collaborate with embedded, autonomy, and systems teams to ensure seamless hardware–software integration
Implement robust security practices across deployment pipelines and edge devices
Build scalable processes for monitoring, updating, and maintaining distributed robotic systems
Support system bring-up, testing, and production rollout across multiple hardware platforms
What We’re Looking For
3+ years of experience in DevOps, SRE, or embedded systems deployment
Strong Linux systems expertise (configuration, performance, and internals)
Experience building and maintaining CI/CD pipelines (e.g. GitHub Actions, Jenkins, CircleCI)
Hands-on experience with containerisation (Docker) in edge or embedded environments
Proficiency in Python and/or Bash scripting
Experience with configuration management tools (e.g. Ansible)
Solid understanding of embedded security principles (secure boot, system hardening, etc.)
Bachelor’s degree in Computer Science, Engineering, or related field
Ability to work onsite in Phoenix, AZ
Eligible to obtain U.S. security clearance
Preferred Experience
Experience with NVIDIA Jetson or similar embedded platforms
Exposure to robotics systems or autonomy stacks (e.g. ROS)
Familiarity with hardware/software-in-the-loop testing (HIL/SIL)
Experience with Kubernetes or distributed system orchestration
Knowledge of embedded networking and deployment in constrained or offline environments
Experience with secure bootloaders, SBOMs, or supply chain security practices
Exposure to GPU computing frameworks (e.g. CUDA, TensorRT)