Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Software Development @ 4
Python @ 8
Algorithms @ 7
Planning @ 4
System Architecture @ 4
CUDA @ 3
GPU @ 3
Deep Learning @ 6
AI @ 4
Robotics @ 4
Performance Analysis @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Join NVIDIA's Solutions Engineering team that is reshaping the future of driving. The team builds and deploys scalable solutions for autonomous vehicles to create safer and more efficient roads. You will help craft application software architecture by working closely with external partners developing on NVIDIA's platform and collaborating across multiple teams. The role focuses on planning and control, drivability, integration challenges, and using deep analytical skills to resolve system complexity.
Responsibilities
- Shape the application architecture with a focus on planning and control by collaborating with architecture and software development teams.
- Integrate and adapt NVIDIA solutions in target vehicles, ensuring planner and controller are tuned to meet 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 across US, APAC, and Europe 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 and good knowledge of Python.
- Ability to adapt to fast-paced development lifecycles, multi-functional organizations, new technologies and platforms.
- Strong analytical skills, attention to detail, and a drive for innovative solutions.
Ways to stand out
- Familiarity with NVIDIA DRIVE platform, 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 and simulation guided by measurable outcomes.
- Proven expertise in developing planning & control solutions across diverse vehicle platforms.
- Contributions to or ownership of open-source projects and mentorship experience.
Compensation & Benefits
- Base salary ranges (determined by location, experience, and pay of employees in similar positions):
- Level 3: 152,000 USD - 241,500 USD
- Level 4: 184,000 USD - 287,500 USD
- Eligible for equity and benefits.
Additional Information
- Applications for this job will be accepted at least until February 6, 2026.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer committed to diversity and inclusion.