Staff Software Engineer Mapping
Job Summary
We are seeking a Staff Software Engineer to lead the design and implementation of scalable backend systems for autonomous vehicle mapping. You will architect robust infrastructure for map ingestion, storage, and delivery while mentoring cross-functional engineering teams. This role requires deep expertise in distributed systems and a commitment to technical excellence in a high-impact engineering environment.
Responsibilities
- Architect and implement scalable distributed backend systems
- Design data pipelines for map ingestion and storage
- Lead cross-functional technical initiatives and mentor engineers
- Ensure system scalability and performance optimization
Required Skills
- 5+ years distributed systems experience
- Strong Python proficiency
- Cloud platforms (AWS/GCP/Azure)
- Data modeling and microservices architecture
- ETL and data orchestration
Job Details
Responsibilities:
- Architect and implement scalable, reliable, distributed backend systems to support national-scale mapping.
- Design and evolve data pipelines and microservices for map ingestion, transformation, storage, and release.
- Own end-to-end delivery of high-impact projects, including defining milestones, aligning stakeholders, and mentoring ICs across functions.
- Collaborate cross-functional with Localization, Perception, Simulation, and Offboard teams to define data contracts and ensure system interoperability.
- Drive technical excellence by conducting system-level design reviews, mentoring engineers, and setting the standard for code quality, testing, and documentation.
- Diagnose and resolve large-scale system issues across services, data pipelines, and production environments.
- Serve as the Subject Matter Expert (SME) in distributed system design, performance optimization, and backend architecture.
Minimum Qualifications:
- 5+ years of experience designing, implementing, and operating scalable distributed systems in production.
- Bachelors degree in related field or relevant work experience.
- Strong proficiency in Python (optional C++, TypeScript), and system-level programming fundamentals.
- Deep understanding of databases, caching, data modeling, and service-oriented architecture (SOA).
- Proven experience building and deploying distributed systems on major cloud platforms such as Google Cloud, AWS, or Azure.
- Experience with data orchestration pipelines and ETL mechanisms (e.g., airflow).
- BS, MS, or PhD in Computer Science, Electrical Engineering, or related technical field.
- Demonstrated success in leading cross-functional technical initiatives and mentoring senior engineers.
Preferred Qualifications:
- Experience with mapping, geospatial data, or robotics systems.
- Familiarity with autonomous vehicle software stack and map-data lifecycle.
- Experience in CI/CD pipeline design, large-scale deployment strategies, or cloud-native architecture.
- Proficiency with Linux systems, container orchestration (e.g., Docker, Kubernetes), and distributed logging/metrics systems.