60 Fieldai Software Engineer Jobs Hiring Near You

• Drive engineering efforts around a clear deployment-driven roadmap that supports reliable autonomous operation at increasing scale.
• Guide the technical direction and architecture of FieldAI’s software stack, including on-robot systems, cloud services, data pipelines, and operator applications.
• Ensure clear interfaces between autonomy, platform, and application layers to support parallel execution and scale.
• Promote engineering practices that support long-lived, maintainable systems in safety-critical and operational environments.
• Partner with product and autonomy leadership to translate deployment goals into concrete technical milestones and execution plans.

• Lead teams responsible for robotics QA, release processes, and validation pipelines that support predictable and safe software releases.
• Guide development of automated testing infrastructure used for autonomy validation, regression testing, and deployment readiness.
• Oversee autonomy analytics systems that collect, process, and analyze data from real deployments to measure performance, reliability, and system limits.
• Guide software infrastructure efforts including CI/CD, dependency management, developer environments, documentation, and internal tooling.
• Support cloud infrastructure for fleet operations, monitoring, data ingestion, ML workflows, and observability.
• Collaborate with cybersecurity teams to ensure secure operation of on-robot and cloud systems.

• Lead application engineering teams building tools for robot operations, fleet management, mission planning, monitoring, and customer insight.
• Ensure tight integration between robots, cloud services, APIs, and user-facing applications.
• Support development of tools that reduce deployment effort, streamline onboarding, and automate triage and monitoring.Encourage clear separation between rapid operational support and longer-term platform evolution.

• Work with field and operations teams to ensure engineering systems support efficient, repeatable deployments.
• Improve feedback loops from live operations into engineering through metrics, tooling, and structured processes.
• Promote practices that reduce per-deployment engineering involvement over time through automation, documentation, and tooling.
• Support uptime, reliability, and autonomy performance tracking across deployed robots.

• Establish clear planning and execution rhythms that align engineering teams around shared goals and timelines.
• Improve visibility into team capacity, work in progress, and technical dependencies.
• Help teams balance near-term operational needs with longer-term system improvements.
• Support prioritization frameworks that keep engineering effort focused on the highest-impact work.

• Mentor and develop senior engineering leaders across platform and application teams.
• Partner with leadership to shape hiring plans, onboarding processes, and team composition.
• Encourage engineering practices that protect deep technical work while supporting operational needs.Foster a culture of clarity, collaboration, accountability, and continuous improvement.

• 12+ years of experience in software engineering, with significant experience leading multi-team engineering organizations.
• Proven experience delivering and operating complex systems in production or operational environments.
• Strong technical background in distributed systems, infrastructure, reliability engineering, and software quality.
• Experience with robotics, autonomy, embedded systems, or other safety-critical or operationally intensive products.
• Demonstrated ability to work across autonomy, infrastructure, application, and operations domains.
• Strong communication skills and comfort working cross-functionally at the executive level.

• Experience scaling robotic or autonomous systems to broader operations.
• Familiarity with simulation, autonomy validation, and performance analytics.
• Experience working with operational teams, on-call rotations, or live system monitoring.

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