Autonomous Driving Technical Lead (w/m/d) - with experience in Level 4 Driving Automation development, C++, Python, ROS2 and AI - IMMEDIATE JOINERS

Luxoft Germany; Deutschland; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Luxoft Germany is seeking an engineer to advance a Level-4 autonomous driving software stack aimed at type approval. You will analyze cross-functional issues, propose evidence-based solutions, and translate decisions into actionable tasks across perception, localization, planning, and vehicle interfaces.

The role emphasizes rigorous reviews, test scenario design, and collaboration across teams to ensure robustness, performance, and production readiness.

Qualifikationen

• In-depth knowledge of autonomous driving systems and their interfaces in perception, localization, and planning.
• Proficiency with point-cloud processing, object detection, fusion, SLAM, and HD mapping techniques.
• Ability to evaluate new AI technologies for safety, integration, and performance implications.
• Experience across the software lifecycle, including production-grade code and deployment.
• Design and validate test scenarios and acceptance criteria for simulated and real environments.
• Ability to define KPIs for perception accuracy, planning quality, latency, and robustness.
• Strong collaboration across engineering teams to align objectives and solutions.
• Conduct technical workshops, design and code reviews, and troubleshooting sessions.
• Demonstrated analytical, structured problem-solving and proactive decision-making.
• Clear communication of complex findings and challenging assumptions with evidence.
• Pragmatic approach with high technical standards and hands-on participation.
• Excellent English communication; willingness to travel to Switzerland for on-site work.

Aufgaben

• Analyze complex, cross-functional issues within the Level-4 autonomous driving stack from code, logs, and sensor data.
• Develop and evaluate solution options based on feasibility, risks, and system impact.
• Create prototypes or proofs of concept to validate approaches before integration.
• Provide technical direction by translating objectives into actionable tasks.
• Review architecture decisions, interfaces, and implementations for robustness and production readiness.
• Identify risks, dependencies, and blockers early to ensure resolution.
• Lead design reviews, code reviews, architecture discussions, and troubleshooting sessions.

Kenntnisse

Autonomous driving

Perception integration

Sensor fusion

SLAM/HD mapping

Behavior modeling

Code reviews

Test scenario design

Debugging

English comms

Travel to Switzerland

Jobbeschreibung

We support our partner in developing a Level 4 autonomous driving software stack aimed at obtaining type approval. Our team is fully integrated into the partner's development organization, contributing throughout the entire development lifecycle by delivering safety-critical, high-performance software components.

Responsibilities

• Analyze complex, cross-functional issues within the Level 4 autonomous driving stack by reviewing source code, architecture, logs, sensor data, simulation results, test evidence, and vehicle behavior to identify algorithmic, software, integration, calibration, timing, performance, hardware, interface, and data-quality problems
• Develop and evaluate solution options based on technical feasibility, risks, dependencies, implementation effort, and overall system impact, ensuring recommendations are evidence-based and clearly documented.
• Create prototypes or proofs of concept as needed to validate proposed approaches before supporting their implementation, integration, and verification
• Provide technical direction by translating high-level objectives and identified issues into actionable engineering tasks
• Review architecture decisions, algorithm selections, interfaces, implementation approaches, and development outcomes for robustness, functional coverage, performance, maintainability, and production suitability
• Identify and address technical risks, dependencies, inconsistencies, knowledge gaps, and engineering blockers early to ensure sustainable resolution
• Lead design reviews, code reviews, architecture discussions, and structured troubleshooting sessions as integral components of the role.

Skills

Must have

• Apply in-depth knowledge of autonomous driving systems, integrating perception, localization, sensor fusion, prediction, behavior and motion planning, and vehicle interfaces with hardware and software platforms.
• Utilize advanced techniques such as point-cloud processing, object detection and tracking, multi-modal sensor fusion, SLAM, HD mapping, scene understanding, behavior modeling, trajectory optimization, and machine learning methods including transformer-based perception and occupancy networks.
• Critically evaluate emerging physical AI technologies, considering factors like maturity, safety, integration, computational demands, and operational benefits to enhance production systems.
• Engage throughout the software development lifecycle by working with existing architectures, implementing and reviewing production-grade code, and ensuring seamless integration into autonomous driving systems.
• Design and contribute to test scenarios, acceptance criteria, and validation methodologies across simulated and real environments, analyzing defects and system behaviors using various testing platforms and tools.
• Lead assessments of integration and release readiness, defining and reviewing KPIs related to perception accuracy, planning quality, latency, resource use, robustness, and system stability.
• Facilitate technical collaboration by establishing a comprehensive understanding of existing systems, architectures, development environments, and constraints, while aligning objectives and solutions among diverse engineering teams.
• Conduct technical workshops, design and code reviews, and troubleshooting sessions to foster shared understanding and translate decisions into actionable guidance.
• Demonstrate analytical, structured, and proactive problem-solving abilities, confidently managing complex or ambiguous technical challenges toward sustainable solutions.
• Communicate complex technical findings clearly and constructively challenge assumptions, supporting recommendations with objective evidence.
• Exhibit a pragmatic approach combined with high technical standards, actively contributing to development, analysis, integration, troubleshooting, and validation activities.
• Maintain effective communication skills in English and show readiness for periodic business travel to Switzerland to support on-site collaboration and vehicle testing.

Nice to have Skills

• Team player: Demonstrates the ability to work effectively within a group to achieve common goals
• Communicative: Possesses strong verbal and written communication skills for clear and efficient information exchange
• Collaborative: Skilled in partnering with others to contribute to shared success and problem-solving