Robotics Systems Engineer

Pronto is looking for a Robotics Engineer who thrives at system-level debugging and end-to-end feature delivery—taking autonomy capabilities from prototype to reliable performance on real vehicles. You’ll develop, test, and deploy features for our autonomous trucks, and you’ll serve as a technical lead during deployments, owning bring-up, triage, and cross-team coordination in mission-critical environments.

• Develop, integrate, and validate autonomy features (software + tests) for real-world autonomous vehicle operation.
• Own system-level debugging: diagnose issues across sensors, compute, networking, controls, and software stacks using logs, metrics, and on-vehicle tools.
• Lead technical execution for deployments: drive bring-up plans, communicate technical requirements, identify risks, and coordinate fixes with engineering and operations.
• Support field deployments in mission-critical environments, including periodic travel to customer sites and hands-on on-vehicle debugging.
• Bring up and integrate new truck platforms: work with hardware and integration teams to add sensors and vehicle signals, calibrate systems, and tune performance.
• Collaborate across disciplines (hardware, operations, safety, product) to deliver robust, safe, and maintainable autonomy behavior.
• Travel note: This role requires periodic travel to customer sites (up to 10%).
• Schedule note: Some schedule flexibility may be required during deployments.

• 2+ years of professional (non-internship) software development experience.
• Strong programming skills in at least one modern language (Python, C++, Java, or C#); experience with object-oriented design and building maintainable systems.
• Proven robotics engineering experience with evidence of system-level ownership (e.g., integration, debugging, performance tuning, field support, or deployments).
• Ability to design and debug software systems with strong diagnostics (structured logging/metrics, fault isolation, testability) that scale beyond a single vehicle.
• Working knowledge of core robotics concepts and math (e.g., state estimation/Kalman filtering, localization, planning, controls).
• Comfort operating in ambiguity—able to define scope, interfaces, milestones, and success criteria to drive a problem to completion.
• Strong communication and collaboration skills, including the ability to explain technical trade-offs to non-technical partners.
• Demonstrated ability to lead technical projects through planning, execution, and deployment.

• Experience deploying autonomy/robotics systems in the field (on-call or deployment rotations, safety-critical troubleshooting, or customer-site support).
• Experience with any of: sensor fusion, safety systems, camera pipelines, ML for perception, vehicle interfaces (CAN), calibration workflows.
• Familiarity with robotics tooling and infrastructure (Linux, Git, CI/CD, simulation/test harnesses).