Note: The job is a remote job and is open to candidates in USA. Dice is a company seeking an Embedded Triage Engineer who will be responsible for tracking and reporting system anomalies and software quality. The role involves analyzing complex software and hardware issues, enhancing machine learning models, and collaborating on tooling for efficient data visualization.
Responsibilities
- Perform triage, tracking, and metric reporting for system anomalies and test escapes
- Utilize 3D visualization tools to analyze sensor data and identify root causes of complex software/hardware issues
- Report on software quality using defect ratios and software heatmap viewpoints
- Analyze autonomous vehicle behaviors from public roads and closed-course testing
- Utilize simulation tools to identify edge-case scenarios and enhance Reinforcement Learning & Training models
- Conduct counterfactual simulations of selected events, providing critical analysis to mitigate unsafe system behaviors
- Collaborate on tooling requirements for efficient triage and data visualization, aiming to extract insights regarding software maturity
- Maintain and optimize the defect management process and ensure high-quality bug ticketing
- Contribute to a rapid integration and deployment schedule, supporting consistent software stack releases
- Track and follow-up on high priority and blocking defects, ensuring continued progress
Skills
- Bachelor's degree in computer science, computer engineering, Systems Engineering or a related technical field
- 3-5+ years of industry experience leading test programs focusing on system triage, defect tracking, and impact analysis
- Experience with complex embedded systems including ADAS technologies, autonomous driving software, and sensors
- Experience with software development tools such as build systems, containers, and source control
- Experience with real-time or safety-critical systems and machine-learned software components
- Strong problem-solving and analytical skills, with attention to detail and the ability to learn in unstructured environments
- Experience testing autonomous vehicles, ROS-based robotic systems, or ADAS features
- Configuration management of safety-critical systems and understanding of systems engineering and verification, validation methodologies
- Experience designing and commissioning custom HIL test fixtures
Company Overview
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