15 hours ago
Gothenburg, SwedenSenior
Responsibilities
- Lead on-site bring-up, adaptation, and deployment of NVIDIA vehicle automation software in customer vehicle variants.
- Map customer use cases, operational design domains, variants, and markets to existing autonomous-vehicle capabilities.
- Support vehicle integration involving sensor and actuator interfaces, Vehicle IO, signal alignment, calibration, diagnostics, and data logging/replay.
- Analyze issues, diagnose root causes, and refine the product experience.
- Support customer projects involving feature-level degradations, diagnostic routines, calibration workflows, log/replay analysis, and KPI validation for ADAS features.
- Drive alignment across customers and internal stakeholders through clear technical communication.
Requirements
- At least 5 years of related work experience in a technical or automotive industry.
- Strong knowledge of Linux/QNX embedded systems, C/C++, and Python.
- Understanding of ADAS or autonomous-vehicle stacks and experience integrating multiple components into a unified solution.
- Experience integrating ADAS or autonomous-vehicle functions such as ACC, AEB, or APA on a series-production or late-prototype platform.
- Experience with fault-to-feature degradation mapping, diagnostic routines, factory and service calibration, diagnostic message flows, and static and online calibration.
- Experience with log/replay workflows and KPI validation for ADAS features.
- Strong communication, organization, problem-solving, prioritization, and customer-interaction skills.
- Preferred: bachelor's or master's degree in an engineering field.
- Preferred: ADAS software-engineering experience at a Tier 1 supplier or OEM, including perception, planning, and control integration.
- Preferred: experience with camera, radar, lidar, GPS, and ultrasound sensor technologies.
- Preferred: understanding of ASPICE, ISO 26262, FMVSS, and Euro NCAP.
- Preferred: ability to work effectively across international, cross-functional organizations.
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.