22 hours ago
Seoul, Korea, SouthSenior
Responsibilities
- Lead vehicle software integration and bring-up activities with internal and external partner teams.
- Drive use-case analysis, functional-requirement definition, critical-metric definition, and ADAS feature testing.
- Analyze system metrics and trends to prioritize engineering initiatives that improve product experience.
- Customize, reconfigure, and rebuild processing pipelines in the software stack.
- Integrate hardware and software components and build scalable solutions with partners.
- Collaborate with global engineering teams in the US, APAC, and Europe to deploy customer solutions.
- Enable customer productivity and serve as a trusted technical advisor to partners and customers.
Requirements
- 5+ years of software-development experience related to embedded systems and/or autonomous-driving technologies.
- BS/MS in computer science, robotics, electrical engineering, or a related technical field, or equivalent experience.
- Excellent C/C++ development skills and good knowledge of Python.
- Proficiency in system-performance and complexity evaluation, optimization, and application issue resolution.
- Experience with automotive design processes and standards such as ISO 26262 FuSa, ISO 21448 SOTIF, and ASPICE.
- Experience with in-vehicle testing, simulation, and development guided by measurable outcomes.
- Knowledge of autonomous-vehicle stacks or similarly complex systems and experience integrating diverse components into scalable solutions.
- Familiarity with the NVIDIA DRIVE platform, NVIDIA GPU hardware, CUDA programming, QNX or an equivalent RTOS, middleware frameworks, and system-level integrations is preferred.
- Experience as an ADAS software engineer at a Tier 1 supplier or OEM is preferred.
- Familiarity with CAN, FlexRay, Ethernet, SOME/IP, Classical AUTOSAR, and Adaptive AUTOSAR is preferred.
Benefits
- The position involves collaboration with teams in US, APAC, and Europe locations.
- NVIDIA is committed to a diverse work environment and is an equal opportunity employer.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.