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Senior Engineering Manager – Test and Evaluation Tools
| Company | Woven |
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| Location | Palo Alto, CA, USA |
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| Salary | $161000 – $264500 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 7+ years of professional software engineering experience, including 2+ years in an engineering leadership role
- Proven track record of delivering production-ready backend systems, developer tools, or data processing pipelines
- Experience designing scalable, maintainable systems using best practices in modularity, testing, observability, and CI/CD
- Familiarity with modern cloud-based development practices and services (e.g., AWS Lambda, Step Functions, container orchestration, or similar)
- Practical experience with Python and related ecosystems, and familiarity with technologies such as job orchestration frameworks, data pipelines, or distributed compute platforms
- Strong cross-functional collaboration skills and the ability to align engineering direction with product and organizational goals
Responsibilities
- Lead and Grow the Team – Hire, mentor, and support a high-performing team focused on building evaluation tools and testing workflows for ADAS development.
- Deliver Scalable Developer Workflows – Build systems that enable large-scale simulation and log evaluation across real-world and synthetic scenarios.
- Develop and Maintain the Evaluation Framework – Provide core capabilities for loading, enriching, and evaluating drive logs and simulation data, while enabling developers to define and deploy their own evaluation logic.
- Support Insight and Analysis – Build tools and pipelines that allow teams to explore, interpret, and visualize results across structured simulation tests and development fleet data.
- Uplevel Engineering Practices – Drive improvements in modularity, observability, testability of critical developer workflows.
- Collaborate Across Functions – Work closely with ADAS developers, simulation engineers, systems engineering, and infrastructure teams to align on requirements and ensure solutions integrate smoothly into the broader development ecosystem.
Preferred Qualifications
- Experience working on or integrating with simulation systems or building tools for simulation-based testing
- Background in data engineering or data science, especially working with large-scale log data or performance metrics
- Familiarity with verification and validation (V&V) methodologies, including test strategy development, regression analysis, and requirements-driven testing
- Experience building developer-facing frameworks that support authoring and deployment of analysis or metrics logic
- Experience in ADAS, autonomy, robotics, or other safety-critical software domains
- Collaborative experience with globally distributed teams or external partners working on shared evaluation frameworks and KPIs
