2 days ago
Shanghai, ChinaSenior
Responsibilities
- Build automotive AI demonstrations, proofs of concept, and reference applications for ADAS and autonomous driving on Arm-based platforms.
- Deploy and validate AI models across hardware platforms and operating systems using open-source or Arm-provided toolchains.
- Integrate and validate partner SDKs on Arm-based hardware with partner engineering teams.
- Evaluate functionality, accuracy, compatibility, and performance while investigating integration and system-level issues.
- Provide technical troubleshooting support to customers and partners and document validation results, deployment procedures, and known limitations.
- Translate technical requirements into validation plans and engineering deliverables for automotive OEMs, Tier-1 suppliers, semiconductor partners, and software vendors.
Requirements
- Substantial automotive engineering experience with hands-on ADAS or autonomous-driving deployment, integration, or validation.
- Practical understanding of automotive AI pipelines and expertise in at least one area such as perception, sensor fusion, localization, prediction, or planning.
- Experience deploying and validating AI models and integrating third-party SDKs across hardware platforms or operating systems.
- Familiarity with AI frameworks and deployment tools such as PyTorch, ONNX Runtime, or vendor-specific SDKs.
- Strong Python and C++ skills, Linux development experience, system-debugging ability, and performance-analysis experience.
- Strong problem-solving, communication, and documentation skills, including collaboration with customers or external engineering partners.
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Automotive Engineering, Robotics, or a related field, or equivalent practical experience.
- Preferred experience with Arm-based automotive SoCs, Arm toolchains, CPU/GPU/NPU acceleration, Automotive Linux, QNX, AUTOSAR Adaptive, simulation, SIL/HIL testing, sensor-data replay, automotive middleware, communication interfaces, functional-safety concepts, cross-compilation, virtualization, or automated validation and benchmarking workflows.
Benefits
- Hybrid working is available, with specific working patterns determined by the team and role; flexibility may be affected by local legal, regulatory, tax, or other considerations.
- Recruitment adjustments and accommodations are available upon request, with requests handled confidentially.
About Arm
Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. A future built on Arm. Arm is everywhere technology matters. Technology matters everywhere. Together, we’ll power every technology revolution moving forward, including cloud computing, automotive and autonomous systems, IoT, the metaverse, and beyond. Changing the world. Again. On Arm.