Robotics Systems Engineer (Observability & Fleet)

Deft Robotics; San Francisco (CA); On-site; USD 100,000 - 200,000; Full time

Job summary

Deft Robotics is seeking a Systems Engineer to advance the core software stack for robotic data collection. You will diagnose bottlenecks, implement and maintain drivers for sensors and in-house hardware, and contribute to safe robot operation with monitoring and guardrails.

You will build testing and observability infrastructures, and design fleet management capabilities for health, updates, and rollouts across distributed robotic systems.

Qualifications

• Degree in CS, EE, robotics, or equivalent experience.
• Proficient in C/C++ and familiar with Python.
• Experience with Linux-based software, multi-threading, memory management and perf optimization.
• Experience with hardware interfaces and sensor/embedded networking hardware.
• Strong systems fundamentals in OS, networking and concurrency.

Responsibilities

• Develop and maintain core software infrastructure for robot data collection.
• Improve reliability and performance across the robotics software stack.
• Develop libraries and drivers for new sensors and hardware modules.
• Support safe robot operation with monitoring and guardrails.
• Develop testing infrastructure: unit/integration/regression tests.
• Build observability: telemetry, logging, diagnostics.
• Design fleet management: health monitoring, updates, rollouts, rollback.

Skills

C/C++

Python

Linux development

Performance optimization

Concurrency

Hardware interfaces

Systems fundamentals

Education

Bachelor’s or Master’s in CS/EE/Robotics or equivalent

Tools

Yocto

Embedded Linux build systems

Kernel/driver development

Job description

Deft Robotics is seeking a Systems Engineer to advance the core software stack for robotic data collection. You will diagnose bottlenecks, implement and maintain drivers for sensors and in-house hardware, and contribute to safe robot operation with monitoring and guardrails.

You will build testing and observability infrastructures, and design fleet management capabilities for health, updates, and rollouts across distributed robotic systems.