Senior Applications Software Engineer, Planning and Control

Join NVIDIA's Solutions Engineering team, which aims to build and deploy scalable solutions for autonomous vehicles, creating safer and more efficient roads.

As a Senior Applications Software Engineer, Planning and Control, you will help craft the application software architecture by working closely with external partners and internal teams within NVIDIA.

Responsibilities:

• Shape the application architecture internally, focusing on planning and control, by collaborating with architecture and software development teams.
• Integrate and adapt NVIDIA solutions in target vehicles, ensuring that both the planner and controller meet desired vehicle dynamics performance metrics and functionality.
• Lead bring-up activities and provide technical support to resolve functional and planning & control related issues.
• Perform and leverage in-vehicle and simulation test drives for functional and performance analysis on recorded data.
• Work with partners to efficiently integrate hardware and software components, understand system architecture, profile performance, identify bottlenecks, and drive optimization.
• Collaborate with global engineering teams in US, APAC, and Europe locations to deploy solutions to customers.

Requirements:

• 5+ years of work-related experience in software development related to deep learning and/or autonomous driving technologies.
• Strong foundation in control theory, motion planning, and optimization, including real-time algorithms suitable for safety-critical systems.
• Solid grasp of vehicle dynamics, state estimation, and trajectory generation, with experience taking algorithms from simulation to real-time hardware.
• BS/MS in computer science, robotics, electrical engineering, or related technical field (or equivalent experience).
• Excellent C/C++ development skills with good knowledge of Python.
• Ability to adapt to fast-paced development lifecycles and multi-functional organizations, new technologies, and platforms.
• Strong analytical skills, striving for innovative solutions, with outstanding attention to detail.

Preferred Qualifications:

• Familiarity with NVIDIA DRIVE platform and NVIDIA GPU hardware and CUDA programming.
• Software development experience on QNX or equivalent RTOS.
• Experience with automotive design processes and standards (e.g., ISO 26262 FuSa, ISO 21448 SOTIF, ASPICE), including in-vehicle testing, simulation, and development guided by measurable outcomes.
• Proven expertise in developing planning & control solutions and experience on diverse vehicle platforms.
• Contributions to or ownership of open-source projects and mentorship experience.