Staff Software Engineer - Systems Integration & Release

About the position

The Systems Integration & Release generalist brings systems-level thinking and hands-on capability across the entire product stack-from robotics hardware through edge and cloud infrastructure to user-facing mobile applications. This role partners with QA, platform, product, and AI/ML teams to design, validate, and continuously improve release processes, quality gates, and automation. The ideal candidate is comfortable tracing issues end-to-end, making targeted technical contributions, and influencing engineering quality through data-driven insights-without being expected to own or build every system from scratch.

Responsibilities

• Trace and diagnose system-level issues spanning robotics hardware, edge devices, cloud services, and mobile applications, identifying integration gaps and collaborating with domain experts to resolve them.
• Partner with QA, SRE, and platform teams to design and refine release processes, establish actionable quality gates, and ensure robust validation across the product ecosystem.
• Make hands-on, targeted enhancements to automation scripts, test frameworks, and data pipelines as needed to support integration, validation, and observability efforts-leveraging but not replacing domain specialists.
• Analyze operational and test data, develop clear visualizations and dashboards, and communicate actionable insights that drive engineering and product decisions.
• Serve as a technical bridge, facilitating alignment and information flow between QA, DevOps, product, and AI/ML teams to ensure system-level quality and release readiness.
• Proactively identify opportunities to enhance automation, monitoring, and test coverage, and drive lessons learned into future release cycles.

Requirements

• 7+ years of experience in systems engineering, integration, automation, or release management, ideally in robotics, IoT, or complex digital platforms.
• Demonstrated ability to trace and debug issues across hardware, edge, cloud, and application layers, collaborating with specialists as needed.
• Proficiency in scripting/programming (Python, Bash, or similar) and familiarity with automation, CI/CD, and test frameworks.
• Strong analytical skills with experience in data processing and visualization (e.g., Python, Tableau, Grafana) to create actionable engineering insights.
• Excellent communication and collaboration skills, with a proven ability to work effectively across multidisciplinary teams and technical domains.
• Experience making targeted improvements to automation, monitoring, or validation environments without being the primary owner of these systems.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent work experience).

Nice-to-haves

• Experience with robotics, IoT, or hybrid hardware/software systems.
• Familiarity with cloud infrastructure, edge computing, and mobile application integration.
• Background in data-driven quality assurance and release readiness assessment.