Robotics Systems Engineer

Location: San Francisco, CA

Department: Engineering

Robotics Engineer (Autonomy Deployments & Systems Integration)

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.

What You’ll Be Doing

• 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

Required Qualifications

• 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.

Preferred Qualifications

• 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).

Pronto is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

About the Company

About Pronto

While most Autonomous Vehicle (AV) technology companies are stuck in R&D mode, Pronto is a world-leader in commercializing AV tech via our Autonomous Haulage System, which is automating haulage operations at mines and quarries around the world. Pronto’s team of Silicon Valley veterans has been at the forefront of every major AV development over the past 20 years, with a relentless focus on commercializing the technology, leading to our current specialization in off-road applications. This focus and our decades of experience have put Pronto on a track to become the world’s first profitable AV technology company.

Our first product is an Autonomous Haulage System (AHS) that enables mines, quarries, and construction sites to deploy autonomous vehicles inside their existing operations to improve site safety and add efficiency gains.