Senior Software Engineer, Deep Learning Inference - Automotive Safety

NVIDIA AI; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA AI in Santa Clara seeks a lead engineer to design and develop high-performance deep learning inference software for safety-critical automotive applications.

You will drive integration of hardware functionalities into TensorRT's compiler and runtime while coordinating safety validation and thorough documentation.

Applicants should have strong C++ skills and at least five years of professional experience in safety-critical or embedded AI software development.

Qualifications

• Requires degree in Computer Engineering, Computer Science, or related field.
• At least 5 years of software development experience.
• Strong C++ skills and safety-critical software development experience with deep learning frameworks.

Responsibilities

• Lead the design and development of high-performance deep learning inference software for safety-critical automotive applications.
• Orchestrate integration of hardware functionalities into TensorRT's compiler and runtime with safety validation and documentation.

Skills

Modern C++

Deep Learning Inference

TensorRT

Safety-Critical Software

CUDA

Python

Compiler Development

Performance Optimization

ISO 26262

ASIL

Systems Programming

Embedded Systems

Benchmarking

Profiling

Large Language Models

Unit Testing

Education

Bachelor's degree in Computer Engineering or Computer Science

Job description

Lead the design and development of high-performance deep learning inference software for safety-critical automotive applications using modern C++. Orchestrate the integration of hardware functionalities into TensorRT's compiler and runtime while driving rigorous safety validation and documentation.

Requirements

Requires a degree in Computer Engineering, Computer Science, or a related field with at least 5 years of software development experience. Candidates must possess strong C++ skills and experience in safety-critical software development and deep learning frameworks.

Key Skills

Modern C++, Deep Learning Inference, TensorRT, Safety-Critical Software Development, CUDA, Python, Compiler Development, Performance Optimization, ISO 26262, ASIL, Systems Programming, Embedded Systems, Benchmarking, Profiling, Large Language Models, Unit Testing

Benefits

Equity