Job Description

At NVIDIA, our employees are passionate about Artificial Intelligence, Visual Computing and Autonomous vehicles. We're united in our quest to transform the way GPUs are used for work and play. We need passionate, hard-working and creative people to help us seek some of these outstanding opportunities. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.



We are looking for a Software Engineering Manager for Autonomous Vehicles supporting the NDAS Calibration team. You will have a strong technical background and interest in computer vision, calibration, egomotion, sensor fusion, and embedded software systems to guide a world-class team within NVIDIA's autonomous vehicle organization. You will lead a team responsible for the development and productization of in-car calibration solutions across a variety of sensors, with an emphasis on Radar and Lidar technologies. In this role, you will drive engineering execution and strategy for real-time calibration of perception sensors, enable robust system integration, and support various stakeholder teams within and outside the company. You will collaborate multi-functionally with perception, platform, systems, and quality teams to deliver high-performance calibration solutions deployed across prototype platforms, development fleets, and production vehicles. Your responsibilities will span technical execution, people management, stakeholder communication, and quality assurance.

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.

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.