Senior Software Engineer, Image and Data Processing Libraries

Nvidia

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CA
Salary: $224,000–$356,500 / yr
Employment: Full-time
Posted: 76 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k

This role $290k

$99k $384k

below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $152,955–$219,131 — the blue band above. At the midpoint, this role pays about $290k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, Image and Data Processing Libraries

Role Posting Log in to save

As a Senior Software Engineer - Image and Data Processing Libraries, you will join a multidisciplinary team to build and improve GPU and CPU accelerated software libraries including nvComp, NPP, nvJPEG, nvJPEG2000, nvTIFF, and nvImageCodec. You will design, develop, and optimize pioneering algorithms, focusing on numerical method performance tuning, optimization, and benchmarking across various architectures. Your daily work involves developing scalable library software, contributing to technical roadmaps, and providing leadership to other engineers. You must utilize C/C++, CUDA, and Python while applying skills in high-performance parallel numerical applications, CI/CD systems, and JIRA. This role addresses technical challenges in AI, data analytics, image processing, computer vision, and scientific simulations, specifically aiming to improve library performance and abstractions to reduce maintenance costs for global commercial and academic organizations.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

Skills

CUDA C++ Python GPU Acceleration CI/CD JIRA Profiling Debugging Software Design Algorithms

What you'll do

Design, develop, and optimize pioneering algorithms for GPU and CPU accelerated software libraries.
Develop scalable library software using modern tools and languages for various numerical methods.
Perform performance tuning, optimization, and benchmarking of algorithms across various architectures.
Define technical roadmaps for libraries based on feature and performance requirements from partners.
Provide technical leadership and guidance to library engineers on the team.
Identify opportunities to improve library performance and abstractions to reduce maintenance costs.
Debug and profile high-performance parallel numerical applications on modern computing platforms.

What we're looking for

PhD or MSc degree in Computational Science, Computer Science, Applied Math, or a related field (preferred).
12+ years of experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms.
Experience with GPU acceleration using CUDA.
Excellent C/C++ programming and software design skills.
Proven experience in leading and completing software development projects.
Excellent collaboration, communication, and documentation habits.
Good knowledge of CPU and/or GPU hardware architecture (preferred).
Experience with CI/CD systems, JIRA, and Python (preferred).

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