Pronto Networks
Robotics Systems Engineer
San Francisco, CA · Intern · Internship
Sponsorship not specified$145k-$180kDetected 15 days ago
PythonJavaC++C#GitCI/CDLinuxMachine LearningSystems EngineeringRoboticsSensorsCommunicationCollaboration
About the role
- What else you need to know This role is based in our San Francisco office location.
- As a company driven by innovation and continuous change, close collaboration is essential.
- That's why all of our office-based teams work onsite, five days a week.
Responsibilities
- 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.
- Collaborate across disciplines (hardware, operations, safety, product) to deliver robust, safe, and maintainable autonomy behavior.
- While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field.
- Build technology that directly improves safety, efficiency, and productivity.
- Collaborate closely with experienced engineers and industry operators.
Requirements
- 5+ years of professional (non-internship) software development experience.
- 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).
- Working knowledge of core robotics concepts and math (e.g., state estimation/Kalman filtering, localization, planning, controls).
- 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).
- Some schedule flexibility may be required during deployments
- Schedule note: Some schedule flexibility may be required during deployments
Skills
- diagnose issues across sensors, compute, networking, controls, and software stacks using logs, metrics, and on-vehicle tools.
Compensation
- The base salary range for this role is $145,000 - $180,000 per year.
Benefits
- Base salary is just one part of your total rewards package.
- You may also be eligible for equity awards and an annual performance-based bonus.
- Benefits Summary (USA Full-Time Exempt Employees):
- Medical, Dental, Vision, Disability, and Life Insurance
- Flexible Spending Account / Health Savings Account Options
- Sick Time, Unlimited Flexible Time Off, and Paid Holidays
- Paid Parental Leave
- Pre-Tax Commuter Benefit Plan
- Benefits are subject to change at the company's discretion.
Company info
- 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.
- 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.
- What we're looking for
- Be part of a fast-moving team with high ownership and impact.
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