Responsibilities
- Derive requirements and perform system verification/validation for simulation frameworks and tools.
- Drive planning and execution by decomposing system needs into projects, tools, and/or features that deliver incremental value to teams and customers.
- Build metrics and tools which measure and continuously monitor simulation validity in alignment with company objectives.
- Lead analyses of tools/frameworks and communicate results across stakeholders, driving continuous improvement to software components.
- Collaborate with Engineering Managers to ensure design, implementation, and programs are on track, and regularly drive consensus among diverse partners on technical projects.
- Develop clear proposals and design documents for large-scope or multi-functional initiatives.
- Design and build statistically-sound analyses, sampling methods, validation criteria, and development processes for building highly relevant datasets for evaluation applications.
- Build tools to mine large-scale logs and simulated data for the most interesting situations.
- Typical workload: 30% validation strategy 30% coding, 40% dataset development and statistical analysis.
Qualifications
- 8+ years of experience in decomposing and analyzing large, complex systems.
- Experience in systems engineering, requirements authoring, system analysis, and validation/testing.
- Experience developing, specifying, and/or validating simulation-based testing technologies for autonomous, robotics, or other complex integrated systems.
- Fluent in data-based and analytical engineering problem-solving practices, including using paretos and root cause analysis.
- Excellent critical and analytical thinking skills: you can interpret what the data tells us and which analyses will reveal impactful conclusions.
- Databricks, Jupyter Notebooks experience.
- Proficient with Python, SQL, or similar for analysis of large datasets.
- Clear track record of effective collaboration with data scientists, machine learning engineers, and platform teams, driving continuous delivery of quality results.
- Comfortable working in a fast-paced environment and operating under ambiguity.
- Strong communication skills and experience addressing diverse audiences.
- BS, MS, or Ph.D. in Computer Science, Mechanical Engineering, Robotics, or equivalent experience
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