# Principal SoC Architect, Robotics and Automotive

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-SoC-Architect--Robotics-and-Automotive_JR2021367?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2fd0a944-c27

## Description

NVIDIA is seeking a Principal SoC Architect to join its architecture team and drive the next generation of Edge AI, Robotics, and Autonomous Driving platforms. The role involves owning the architectural definition of SoCs that integrate NVIDIA GPUs, computer vision accelerators, and real-time processors.

**Key Responsibilities:**

- End-to-End SoC Lifecycle Ownership: Define and drive the hardware architecture from early concept through bring-up and ecosystem enablement.

- Robotics & Automotive Co-Design: Collaborate with software, deep learning, and safety teams to co-design hardware feature sets for low-latency robotics spatial computing, sensor fusion, and autonomous driving pipelines.

- PPA Modeling & Analysis: Perform performance, power, and area modeling, optimizing for thermally constrained robotic enclosures and automotive ECUs.

- Specification & Modeling: Author high-quality architecture specifications and drive the development of models to validate architectural choices.

- Architectural Validation: Define validation plans to ensure hardware meets strict real-time execution and safety metrics.

- Post-Silicon & Production Support: Participate in silicon debug, performance tuning, and generate user documentation for tier-1 robotics and automotive customers.

**Requirements:**

- 15+ years of deep architecture design experience in high-performance silicon.

- SoC Architecture Expertise: Meaningful industry expertise in top-level SoC definition.

- Robotics & Automotive I/O: Practical knowledge of high-speed interfaces (PCIe, GMSL/Camera interfaces, Time-Sensitive Networking/TSN).

- Advanced Subsystems: Multimedia/vision accelerator pipelines, CPU/GPU cache coherency, Virtualization, and Hardware Security.

- Deterministic & Real-Time Compute: Deep understanding of hardware support for real-time operating systems (RTOS), deterministic latency, and mixed-criticality workloads.

- Cross-Functional Technical Leadership: Exceptional ability to communicate, negotiate, and solve technical hurdles across all abstraction levels.

- Master’s or PhD degree in Computer Engineering, Electrical Engineering, or equivalent experience.

**Preferred Qualifications:**

- Experience in functional safety and building end-to-end solutions fulfilling safety requirements.

- Proven background in mapping complex Edge AI workloads onto custom hardware architectures.

- Advanced programming skills in SystemC, C++, or Python for architectural simulation and modeling.

## Skills

### Required
- SoC Architecture
- High-performance silicon design
- Robotics
- Automotive
- Computer vision
- Real-time processing
- PCIe
- GMSL/Camera interfaces
- Time-Sensitive Networking/TSN
- Multimedia/vision accelerator pipelines
- CPU/GPU cache coherency
- Virtualization
- Hardware Security
- Deterministic & Real-Time Compute
- RTOS
- Mixed-criticality workloads

### Nice to have
- Functional safety
- Edge AI workloads
- SystemC
- C++
- Python

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-SoC-Architect--Robotics-and-Automotive_JR2021367?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)