21 hours ago
Munich, GermanySenior
Responsibilities
- Integrate and optimize automotive system software, ADAS components, platform tooling, and partner-specific interface adaptations across NVIDIA and partner codebases.
- Maintain automation pipelines for build, test, and release while resolving infrastructure and pipeline blockers.
- Triage and bisect regressions across staging release trains, SIL/HIL environments, vehicle test racks, and simulation platforms.
- Debug Linux and QNX platform, OS-level, and performance issues including boot failures, crashes, coredumps, CPU affinity, IPC contention, and logging overhead.
- Coordinate hardware bring-up and debugging on vehicle racks and HIL benches involving sensors, MCUs, SoCs, automotive networks, buses, and PTP synchronization.
- Own feature and system verticals through staging, defect tracking, fix validation, in-vehicle testing, post-drive log analysis, and release readiness.
- Serve as the technical point of contact for an OEM partner through root-cause alignment, technical workshops, release planning, readiness reviews, and escalation management.
Requirements
- Bachelor's or master's degree in an engineering discipline and 5+ years of relevant experience in ADAS, automotive software, embedded systems, platform integration, or system validation.
- Strong Linux and QNX debugging skills with proficiency in C/C++ and scripting languages such as Python and Bash.
- Understanding of RTOS, ADAS sensor sets, software integration, AUTOSAR Adaptive and Classic, and hands-on hardware bring-up.
- Experience with Docker or other containerized environments, version control, and build, test, and release automation.
- Familiarity with CAN, FlexRay, Ethernet, PTP, Gerrit, code review, and patch-based workflows.
- Hands-on experience with vehicle production and after-sales topics including coding, calibration, OTA updates, cybersecurity, diagnostics, and field-return investigations.
- Experience collaborating directly and frequently with OEM customers and independently resolving ambiguous cross-functional issues.
- Preferred qualifications include series-production ADAS or software-defined vehicle platform experience, complex customer-issue ownership, deep Linux or QNX internals and performance expertise, embedded networking or system-level debugging, NVIDIA automotive platforms, GPU-accelerated simulation, fleet validation, large-scale test infrastructure, an EU driver's license, and T1/T2 or equivalent vehicle-testing certification.
Benefits
- The selected candidate is expected to be based in Munich or Stuttgart, with occasional travel to customer sites as business needs require.
- NVIDIA is an equal opportunity employer committed to a diverse work environment.
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.