Senior Solutions Architect – Performance AI for Autonomous Vehicles

NVIDIA Gruppe

Santa Clara (CA)

On-site

USD 184,000 - 356,500

Full time

14 days+
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Job summary

NVIDIA seeks a Solutions Architect with a performance engineering background to accelerate Physical AI workloads for autonomous vehicles and robotics using NVIDIA's full-stack technologies.

You will engage AV application engineers, optimize GPU kernels, and collaborate across architecture, research, and system software teams to influence next-generation platforms and programming models. Equity and benefits are available."

Qualifications

  • BSc/MSc/PhD or equivalent experience in a technical field.
  • 8+ years of hands-on ML/DL performance engineering experience.
  • Experience with C, C++, or Python and proficiency with Linux.
  • Solid understanding of software development, programming techniques, and algorithms.
  • Strong mathematical fundamentals including linear algebra and numerical methods.
  • Background in parallel programming and HPC with GPU programming experience.
  • Experience in distributed communication optimization is highly helpful.

Responsibilities

  • Engage with AV application engineers to understand current and future problems; develop and improve parallel algorithms and data structures; provide efficient GPU solutions.
  • Collaborate with architecture, research, libraries, tools, and system software teams to influence next-generation architectures and programming models.
  • Engage in deep optimization of high-performance operators including GPU kernel optimization and compiler tuning to support NVIDIA libraries and open-source projects.
  • Improve communication for Physical AI-related distributed transformer workloads using NCCL, NVSHMEM, and related tools.

Skills

C/C++/Python
Linux
GPU performance engineering
Parallel programming
ML/DL workloads
High-performance computing

Education

BSc/MSc/PhD or equivalent experience

Tools

Nsight System
Nsight Compute
CUDA

Job description

NVIDIA seeks a Solutions Architect with a performance engineering background to accelerate Physical AI workloads for autonomous vehicles and robotics using NVIDIA's full-stack technologies.

You will engage AV application engineers, optimize GPU kernels, and collaborate across architecture, research, and system software teams to influence next-generation platforms and programming models. Equity and benefits are available."

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