Nvidia System Software Engineering Manager Calibration - Autonomous Vehicles 

Switzerland, Zurich, Zurich 

532280178

What you will be doing:

• Leading a team of skilled engineers to develop, maintain, and productize real-time calibration software for autonomous and assisted driving systems.

• Driving the evolution of calibration algorithms and infrastructure using large-scale real and synthetic data to ensure performance, robustness, and scalability.

• Guiding architectural decisions and reviewing designs to ensure high performance, modularity, and maintainability of calibration components.

• Coordinating and prioritizing development efforts across areas such as self-calibration, end-of-line calibration, and dev-fleet calibration using multimodal sensor data (LIDAR, Radar, Camera, IMU, etc.).

• Collaborating with other engineering managers, system engineering, safety, and other stakeholders to align on feature development, system integration, and vehicle bring-up plans.

• Ensuring the team follows best practices for software quality, including unit testing, documentation, MISRA/AUTOSAR compliance, and safety-critical development processes.

• Support creation of all necessary work products (documentation, test specification, verification reports, …) to deliver safety-critical software up to ASIL D integrity.

• Guiding root cause analysis and troubleshooting for calibration-related issues in replay and in-car environments.

• Mentoring engineers, fostering technical growth, and supporting career development within your team.

• Reporting status, risks, and milestones to program leadership, and helping shape strategic direction for calibration initiatives.

What we need to see:

• MS or higher in computer science or related engineering discipline (or equivalent experience).

• 8+ overall years of relevant industry experience

• 3+ years experience managing software engineers in the automotive domain.

• Strong C++ and Python programming background with experience in embedded software systems.

• General knowledge of algorithms in Robotics, Estimation, and Computer Vision.

• Demonstrated experience leading software teams with clear ownership of roadmap, quality, and deliverables.

• Excellent communication, organizational, and leadership skills.

• Experience with Git, Linux, and remote collaboration tools in a software development context.

• Understanding of the V model, safety standards, and software product lifecycle, ISO26262 and ASPICE norms.
  

Ways to stand out from the crowd:

• Delivered complex, production-grade software projects in the automotive domain.

• Deep understanding of ADAS and autonomous vehicle systems.

• Prior experience with calibration systems or developing new sensor calibration methods.

• Proven ability to lead distributed teams and work effectively with internal and external partners.