Edge DL Inference Architect for Autonomous Systems

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 224,000 - 356,500; Full time

Benefits offered by this job

Equity offerings

Comprehensive benefits

Job summary

NVIDIA Gruppe is seeking a Senior Systems Software Engineer in Santa Clara, California to optimize deep learning inference for autonomous vehicles and robotics. The ideal candidate will have significant experience in model optimization and possess a strong technical background.

This role involves working directly with automotive OEMs and pushing performance benchmarks across various platforms. A salary range of 224,000 USD - 356,500 USD is offered based on experience.

Qualifications

• Over 12 years in the industry with 8 years specializing in deep learning model optimization.
• Expertise in embedded/edge software and delivering production inference solutions.
• Knowledge of contemporary DL architectures like transformers and vision encoders.

Responsibilities

• Engage with automotive OEMs to analyze and improve deep learning models.
• Benchmark performance on MLPerf Edge and industry standards.
• Evaluate and assess emerging model architectures for latency and memory usage.

Skills

Deep learning model optimization

Embedded software expertise

CUDA programming

Performance benchmarking

Collaboration with external partners

Education

Master's degree in Computer Science or related field

Tools

TensorRT

CUDA

QNX/Linux

Job description

NVIDIA Gruppe is seeking a Senior Systems Software Engineer in Santa Clara, California to optimize deep learning inference for autonomous vehicles and robotics. The ideal candidate will have significant experience in model optimization and possess a strong technical background.

This role involves working directly with automotive OEMs and pushing performance benchmarks across various platforms. A salary range of 224,000 USD - 356,500 USD is offered based on experience.