Software Deployment Engineer

Software Deployment Engineer

Location: Phoenix, AZ
Company Stage of Funding: Early-Stage Autonomous Robotics & Defense Technology Startup
Office Type: On-site
Salary: $150,000- $160,000 + Equity

Company Description

We’re representing an early-stage autonomous robotics company building low-cost swarm systems for defense and industrial applications. Their platform combines edge AI, distributed autonomy, embedded systems, and cloud-connected fleet management to enable coordinated robotic operations in highly demanding environments.

The engineering team is building the full autonomy stack across embedded systems, edge compute infrastructure, robotics software, and deployment tooling. This role will play a foundational part in ensuring reliable, scalable, and secure software deployment across fleets of autonomous robotic systems operating in real-world field environments.

What You Will Do

• Build and maintain CI/CD pipelines and deployment infrastructure for embedded robotic platforms and edge devices
• Design scalable provisioning, update, and deployment workflows across fleets of autonomous robotic systems
• Manage software deployment pipelines spanning embedded devices, edge compute environments, and cloud infrastructure
• Develop containerized deployment systems optimized for resource-constrained and intermittently connected environments
• Support hardware-software integration workflows from board bring-up through production deployment and field updates
• Collaborate closely with embedded, autonomy, and systems engineering teams to ensure reliable and reproducible deployments
• Implement secure deployment practices including secure boot, supply chain security, kernel hardening, and trusted execution environments
• Improve fleet management tooling, deployment observability, rollback mechanisms, and operational reliability
• Maintain strong documentation standards and reproducible deployment processes across engineering environments

Ideal Background

• 3+ years of experience in DevOps, SRE, embedded systems deployment, or infrastructure engineering roles
• Deep understanding of Linux internals, embedded systems, and low-level system configuration
• Hands-on experience with NVIDIA Jetson platforms, JetPack/L4T environments, or similar edge AI hardware
• Experience building and maintaining CI/CD systems using GitHub Actions, Jenkins, CircleCI, or similar tooling
• Strong experience with Docker and containerized deployments in edge or robotics environments
• Proficiency in Python and Bash scripting for automation and infrastructure tooling
• Familiarity with configuration management tools such as Ansible
• Strong understanding of embedded systems security and secure deployment practices
• Ability to work effectively in fast-moving environments with significant ownership and autonomy
• Strong attention to operational reliability, documentation quality, and deployment reproducibility

Preferred

• Experience with hardware-in-the-loop (HIL) or software-in-the-loop (SIL) testing environments
• Familiarity with Kubernetes or edge orchestration systems
• Experience with bootloaders, secure boot implementations, or low-level embedded initialization workflows
• Experience operating in air-gapped or intermittently connected deployment environments
• Familiarity with ROS or robotics software ecosystems
• Experience with supply chain security, SBOM generation, or infrastructure security tooling
• Exposure to GPU-enabled compute environments including CUDA or TensorRT
• Background in robotics, autonomous systems, aerospace, or defense technology environments

Compensation and Benefits

• Competitive salary + meaningful equity package
• Opportunity to own deployment infrastructure for real-world autonomous robotic systems
• Work closely with autonomy, embedded systems, robotics, and infrastructure engineering teams
• High-impact role directly supporting mission-critical autonomous swarm operations
• Fast-moving startup environment with significant technical ownership and greenfield engineering opportunities
• Opportunity to build scalable deployment infrastructure for next-generation autonomous systems