Senior Performance Engineer, Autonomy & CUDA (Equity)

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is hiring for an autonomous vehicles software specialist in Santa Clara, CA. You will develop and optimize C/C++ code for high-performance automotive software and collaborate with hardware, OS and safety teams to push the boundaries of AI-enabled driving systems.

This role demands advanced degrees, extensive experience with parallel architectures, performance analysis and MISRA-aligned coding standards, plus strong communication to align cross-functional teams.

Qualifications

• Master’s or PhD in CS, CS Architecture, EE or related field or equivalent experience.
• 12+ years of professional autonomous vehicles software experience.
• Excellent C and C++ programming skills.
• Strong understanding of parallel architectures and debugging.
• Solid system software knowledge and computer architecture.
• Experience with performance analysis, optimizations and benchmarking.
• Excellent communication and cross-team collaboration.

Responsibilities

• Develop, maintain and optimize latency and throughput of NVIDIA’s autonomous driving software.
• Devise acceleration strategies to improve software on heterogeneous hardware while meeting product goals.
• Develop highly efficient C++ code using CUDA/GPGPU and MISRA-aligned standards.
• Collaborate with HW, product, OS and safety teams to design next-gen products.

Skills

C++ programming

C programming

Parallel programming

Performance analysis

Communication skills

Education

Master’s or PhD in CS/EE or related

Tools

CUDA/GPGPU

ARM NEON

Job description

NVIDIA is hiring for an autonomous vehicles software specialist in Santa Clara, CA. You will develop and optimize C/C++ code for high-performance automotive software and collaborate with hardware, OS and safety teams to push the boundaries of AI-enabled driving systems.

This role demands advanced degrees, extensive experience with parallel architectures, performance analysis and MISRA-aligned coding standards, plus strong communication to align cross-functional teams.