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Software Engineer – Calibration
Woven Planet. Develop and scale validation pipelines processing large quantities of LiDAR and fleet data in the cloud .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in developing and scaling validation pipelines for large-scale data processing, with a strong focus on cloud-based infrastructure, reliability, and maintainability. Demonstrates expertise in Python and SQL, along with experience in managing software repositories and improving system observability.
Highest-signal resume keywords
Python ProficiencySQL ProficiencyCloud-Based Data Pipeline DevelopmentMonitoring and Observability ToolingAgile Development Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data Pipeline DevelopmentProduction-Quality Code WritingModular Code DesignValidation Pipeline ImplementationSQL-Based Validation TestsLarge-Scale Data Processing FrameworksCode Review ManagementDependency ManagementVersioning StandardsQuality Assurance System Lifecycle
Soft Skills
Excellent Interpersonal SkillsCollaboration Across TeamsAbility to Thrive in Fast-Paced Environments
Tools & Technologies
Monitoring ToolingObservability ToolingSparkBigQuery
Certifications & Qualifications
Bachelor's in Computer ScienceMaster's Preferred
Industry Keywords
LiDARIMURadar Sensor DataCalibration ServicesValidation ServicesCloud-Native EnvironmentDistributed Systems
Tech Stack
Tools & technologiesBigQueryCloudDistributed SystemsPythonSparkSQL
About the role
Key responsibilities & impact- Develop and scale validation pipelines processing large quantities of LiDAR and fleet data in the cloud
- Support design, implementation, and delivery of calibration and validation pipelines and underlying infrastructure
- Collaborate with hardware and data engineers to validate camera, LiDAR, IMU, and radar sensor data
- Author SQL-based validation tests for data correctness and coverage
- Manage the team’s calibration and validation services for robust and predictable operation
- Improve system maintainability, reliability, and observability
- Maintain and improve team repositories, including simplification and long-term code health
- Evolve the team’s Vision library to improve extensibility for other engineering teams
- Write high-quality, scalable code and workflows
- Instrument and monitor production systems, proactively addressing issues
- Operate in a high-velocity environment using rigorous agile development practices
- Work in a hybrid model with physical presence in the London office three days per week
Requirements
What you’ll need- Bachelor's in Computer Science, Software Engineering, or a related field, or equivalent industry experience
- Master's preferred
- Proficiency in Python and SQL
- Experience writing production-quality, testable, and modular code
- Experience building and maintaining cloud-based data pipelines, emphasizing reliability, maintainability, and scalability
- Experience managing and maintaining software repositories, including code reviews, dependency management, versioning, and enforcing contribution standards across multiple teams
- Experience with monitoring and observability tooling to maintain and improve production service health
- Ability to thrive in a fast-paced environment and collaborate effectively across teams and disciplines
- Excellent interpersonal skills
- Experience with large-scale data processing frameworks such as Spark or BigQuery (nice to have)
- Familiarity with autonomous driving sensor modalities, particularly camera, LiDAR, IMU and/or Radar (nice to have)
- Prior contributions to shared platform or framework libraries used by multiple engineering teams (nice to have)
- Experience managing or contributing to backfill and data reconciliation services in a production environment (nice to have)
- Hands-on experience with the full lifecycle of a validation or quality assurance system (nice to have)
- Proven track record of improving system observability and operational reliability in a cloud-native or distributed systems environment (nice to have)
Benefits
Comp & perks- Excellent health, wellness, dental and vision coverage
- A rewarding pension
- Flexible vacation policy
- Family planning and care benefits