Join NVIDIA's Solutions Engineering team as a senior software engineer focused on autonomous vehicles, where you'll work closely with external partners and internal teams to shape the application architecture, focusing on planning and control. Your day-to-day will involve integrating NVIDIA solutions into target vehicles, leading bring-up activities, providing technical support, and conducting in-vehicle and simulation test drives for functional analysis. You’ll need 5+ years of experience in deep learning or autonomous driving technologies, a strong foundation in control theory, motion planning, and optimization, as well as excellent C/C++ and Python skills. Familiarity with NVIDIA DRIVE platform, CUDA programming, QNX RTOS, and automotive design processes is preferred. This role demands expertise in developing planning & control solutions across diverse vehicle platforms and adapting to fast-paced development cycles.
Skills
C++
Python
CUDA
QNX
NVIDIA DRIVE
ISO 26262 FuSa
ISO 21448 SOTIF
ASPICE
motion planning
control theory
vehicle dynamics
trajectory generation
real-time algorithms
optimization
deep learning
autonomous driving technologies
What you'll do
Shape application architecture focusing on planning and control within NVIDIA's autonomous driving platform.
Integrate and adapt NVIDIA solutions in target vehicles to meet performance metrics and functionality requirements.
Lead bring-up activities and resolve technical issues related to functional and planning aspects.
Conduct in-vehicle and simulation test drives for analysis of system performance and data collection.
Collaborate with partners to integrate hardware and software components, optimize system architecture, and identify bottlenecks.
What we're looking for
5+ years of software development experience in deep learning and autonomous driving technologies.
Strong foundation in control theory, motion planning, optimization, and real-time algorithms for safety-critical systems.
BS/MS in computer science, robotics, electrical engineering, or related technical field with solid vehicle dynamics knowledge.
Expertise in C/C++ and Python programming languages.
Experience adapting to fast-paced development cycles and multi-functional organizations.
Familiarity with NVIDIA DRIVE platform, CUDA programming, QNX RTOS, and automotive design processes.
Market check
Salary context
This
$152,000–$241,500
range sits above
73%
of similar postings on FindRole.
Peer median band
$117,000–$209,330
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$141,306–$203,225
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.