Senior Software Development Engineer in Test - Verifiation And Validation
Leads end-to-end validation strategy for safety-critical autonomous systems, architecting SIL/HIL testing frameworks, CI pipelines, and data analysis tools. Requires 7+ years in Python, HIL/SIL methodologies, and Linux for complex test automation in robotics.
About the job
Responsibilities
- Lead the design and maintenance of large-scale event-driven software/hardware-in-the-loop (SIL/HIL) testing frameworks, utilizing advanced software patterns to improve modularity and reduce code duplication.
- Architect and manage end-to-end continuous integration (CI) pipelines to automate the execution of regression suites.
- Lead root cause analysis for complex system-level failures, developing log mining scripts and visualization dashboards (e.g., Grafana, SQL-based notebooks) to triage failures and track performance metrics.
- Perform gap analyses between high-level safety requirements and technical test implementations, including the development of intricate timing and prioritization patterns.
- Lead end-to-end validation and clearance process for safety-critical monitors, such as for collision detection systems.
Qualifications
- Good technical communication skills, with the ability to summarize complex test failures and provide clear impact assessments for our tests, tools, and pipelines.
- Demonstrated experience delivering complex projects in Python, including the use of AI-based coding, such as for infrastructure development, tooling and automated test writing.
- Deep understanding of HIL and SIL methodologies, including real-time fault injection.
- Ownership from design, to implementation and maintenance of automated testing pipelines (e.g., using Bamboo, Jenkins, or similar) and developing custom automation plugins.
- Practical knowledge of Linux internals and networking protocols used in high-throughput real-time systems.
- Bachelor's or higher degree in Mechatronics Engineering, Computer Science or a relevant technical field, such as Data Science or Electrical Engineering.
- 7+ years of experience in the above, with demonstrated ownership of 3+ complex projects.
Bonus Qualifications
- Strong C++.
- Pytest customization experience.
- Background in autonomous systems or safety-critical robotics validation.
- Experience applying Generative AI or Machine Learning tools to code, audit and improve test coverage and documentation.
- Experience with data engineering tools like SQL, PySpark, Looker or Databricks for large-scale performance analysis.
- Experience with real-time communication protocols (e.g., DDS, I2C, SPI, CAN, GMSL2).
Skills
Python, C++, Linux, Jenkins, Bamboo, Sil, Hil, Pytest, SQL, Pyspark, Grafana, Polarion, Jama, Doors, Dds
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