Senior Software Engineer — Parking for Autonomous Vehicles

Description

The company builds AI-based visual computing for autonomous vehicles, aiming to make driver assistance and safety features smarter as cars become more computer-driven.

The role is based in Stuttgart, Germany, and involves working directly with automotive customers to integrate and bring to production the parking software for the company's autonomous driving platform.

The focus is on adapting that software to vehicles, diagnosing system-level faults and checking parking behavior in development and production cars.

Responsibilities

• Integrate and adapt the parking software on customer development and production vehicles.
• Handle vehicle bring-up, software flashing, data logging, and testing and functional validation.
• Triage issues along the full parking chain, from sensor input through perception and fusion to maneuver behavior.
• Work with customer teams and company engineers in Europe, the US, APAC and India to find root causes, deliver program-level fixes and push longer-term product corrections.
• Configure and tune the software for different vehicle platforms, sensor setups, vehicle geometries and low-speed maneuvering needs.
• Debug fusion and environment-modeling behavior that merges sensor and neural-network outputs into a consistent, temporally stable view of the surroundings.
• Write targeted C++ or Python changes, debugging tools and analysis workflows to resolve customer integration and functional issues.
• Measure performance through recorded-data replay and in-vehicle tests, and explain findings clearly to customers and engineering teams.

Requirements

• At least 8+ years of ADAS software development and triage experience, including in-vehicle work.
• Strong skills in modern C++ and Python.
• Proficiency in Linux or QNX-based embedded environments.
• Ability to isolate system-level issues through log analysis, recorded-data replay and in-vehicle testing, and drive them to resolution across several engineering teams.
• Clear technical communication with customers and distributed teams, covering findings, tradeoffs and next steps.
• BS/MS in Computer Science, Electrical Engineering, Robotics or Automotive Engineering, or equivalent practical experience.
• Comfortable in a customer-facing field setting where vehicle availability, integration milestones and production needs set priorities.
• Valid driver's license and ready for vehicle testing and international travel.
• Ways to stand out: experience with parking or low-speed maneuvering software, or closely related perception, fusion or environment modeling work.
• Ways to stand out: production experience with camera- and ultrasonic-based parking or low-speed assistance systems.
• Ways to stand out: experience integrating ADAS software into customer vehicle platforms and supporting automotive series programs.
• Ways to stand out: practical work turning sensor and perception outputs into usable results through fusion, tracking, filtering or temporal association.
• Ways to stand out: experience with data-driven development loops, including fleet-data triage, corner-case analysis and feedback to model-training teams.
• Ways to stand out: hands-on AI/ML and deep neural network development or integration, for example in object detection, segmentation or depth estimation.

Conditions

Based in Stuttgart, Germany.

Field work with vehicle testing and international travel.

Benefits

• Competitive compensation and benefits.