Deployment Engineer
P.T.E., INC.
San Francisco, CA, United States
7 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Testing (Software)
Clean Code Principles
CAN Bus
Configuration Management
Data Visualization
Linux
File Systems
Middleware
Python (Programming Language)
Software Tools
Server Administration
Software Engineering
+4 more
Real Time Systems
Delivery Pipeline
Grafana
Plotly
Job description
- Design, develop, and maintain software tools critical to the reliable operation of Moovitas autonomous vehicle fleet, including tools for system diagnostics, data collection, configuration management, and deployment
- Collaborate with the deployment team to roll out and maintain autonomous driving software on test vehicles and commercial fleets at deployment sites
- Troubleshoot and resolve real-time system and operational issues using in-house and custom-built tools
- Create, update, and manage technical documentation for deployment workflows, tool usage, and software procedures
- Generate and visualize performance reports (e.g., mission KPIs, latency metrics), manage RNDF maps, and collect and organize vehicle logs for diagnostics and analysis, Control EngineerDeployment EngineerElectrical Systems EngineerMechatronics Assistant EngineerPlanning and Behaviour Research EngineerProject Manager/Senior Project ManagerSenior Service EngineerService EngineerTest EngineerTest Engineer (Entry-level)
Requirements
Data Collection, Automotive Automation, Software Administration, Vehicle Fleets, Configuration Management, Software Development, Autonomous Driving Systems, Product/Service Launch, Software Testing, Identify Issues, * Minimally 2 years of relevant experience
- Experienced in Linux systems (file systems, networking, permissions, system services)
- Proficiency in Python, with ability to write reliable, maintainable code for tooling and automation
- Strong problem-solving skills and willingness to work hands-on with hardware, vehicles, and real-world systems
- Familiarity with ROS/ROS2, CAN bus, DDS middleware, or data visualization tools like Plotly or Grafana is a plus
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