Senior Robotics Systems Engineer

ATOMS Careers page•San Francisco, CA

8d•$176,000 - $242,000•Onsite

About The Position

Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field. We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company.

Requirements

7+ 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).
Familiarity with robotics tooling and infrastructure (Linux, Git, CI/CD, simulation/test harnesses).

Nice To Haves

Experience with any of: sensor fusion, safety systems, camera pipelines, ML for perception, vehicle interfaces (CAN), calibration workflows.

Responsibilities

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.