Senior Staff Software Engineer, Perception

EducationPals; Nederland; Remote; EUR 120,000 - 180,000; Full time

Job summary

AeroVect is seeking a Senior Staff Software Engineer to lead perception and autonomous systems development in a remote-friendly role spanning Amsterdam, Berlin, Dublin and other locations. You will shape the system architecture, drive safety cases, and optimize perception pipelines across sensors and data sources.

Responsibilities include defining deployment strategies, guiding reliability decisions, and advancing semantic search and vector database usage for scalable AI-driven perception.

Qualifications

• Bachelor's degree in CS/Data Science/Engineering with 8+ years in product management

Responsibilities

• Define operation boundaries and safety cases for autonomous systems.
• Integrate sensor data to build robust environment representations.
• Oversee deployment and fleet operations.
• Guide architecture and reliability decisions across a portfolio.

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related field

Tools

Vertex AI Vector Search

pgvector

Semantic Search

Job description

Senior Staff Software Engineer, Perception Remote; Amsterdam; Berlin ; Dublin; Frankfurt ; Italy ; London ; Munich; Paris ; Poland; San Francisco; Stockholm; United Kingdom (Remote) Employment Type Location Type Engineering Autonomy Engineering OverviewApplication AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation

Relevance is based on skills and concepts, not a guarantee that you qualify.

Covered skills: Product management Deep learning Python LLM evaluation Roadmapping

Skills to close: None listed

Build the skills for this job

Coming-soon courses matched to this posting: outline, waitlist, and skill path.

1. Operational Design Domains and Safety Architecture

Define where and how your autonomous system operates, and build the safety case that governs deployment decisions.

2. Sensor Fusion and Perception Pipelines

Combine camera, lidar, radar, and map data to build robust representations of the driving environment.

3. Prediction and Behavior Modeling

Forecast how other agents will move and reason about intent in multi-agent environments.

4. Motion Planning and Control

Generate safe, comfortable trajectories and translate them into vehicle control actions.

5. Simulation and Scenario-Based Testing

Use synthetic environments and scenario generation to validate system behavior before real-world deployment.

6. Data Loops and Continuous Improvement

Collect, label, and use fleet data to improve models and expand operating capabilities over time.

7. Deployment and Fleet Operations

Manage real-world rollout, remote assistance, cybersecurity, and operational scaling for autonomous fleets.

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