Senior Developer Technology Engineer, AI

Nvidia

Confirmed live yesterday Trusted

Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CAWestford, MAAustin, TXHillsboro, ORDurham, NC
Salary: $184,000–$287,500 / yr
Posted: 37 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k

This role $236k

$148k most similar roles pay here $302k

This role pays more than 74% of similar roles. Most pay $165,375–$242,675 — the shaded band above. At the midpoint, this role pays about $236k versus about $204k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Developer Technology Engineer, AI

Role Posting Log in to save

The Senior Developer Technology Engineer - AI joins the Developer Technology team to research and develop techniques for GPU acceleration in deep learning, machine learning, and other AI domains. This role involves performing in-depth analysis and optimization of complex AI and HPC algorithms on modern CPU and GPU architectures while collaborating with industry and academic experts. The engineer will also publish findings in blogs or conferences and influence the design of next-generation hardware, software, and programming models. Candidates must possess a master's degree and extensive experience in C/C++, parallel programming frameworks like CUDA, OpenACC, OpenMP, MPI, and pthreads. Key technical requirements include low-level performance optimization, linear algebra knowledge, and expertise in computer architecture to solve bottlenecks for high-performance computing and advanced AI workloads across various domains including natural language processing and computer vision.

Skills

C++ C CUDA OpenACC OpenMP MPI pthreads Deep Learning Machine Learning HPC GPU Architecture Parallel Programming Linear Algebra Computer Vision Natural Language Processing

What you'll do

Research and develop techniques to accelerate deep learning and machine learning workloads on GPUs.
Perform in-depth analysis and optimization of complex AI and HPC algorithms for CPU and GPU architectures.
Identify and eliminate system bottlenecks to achieve maximum performance from computer hardware.
Publish and present discovered optimization techniques in developer blogs and at relevant conferences.
Influence the design of next-generation hardware architectures, software, and programming models.
Collaborate with internal teams to improve products based on research findings.

What we're looking for

Master's degree in Computer Science, Computer Engineering, or a related computationally focused science degree.
8+ years of relevant work experience or research.
Programming fluency in C/C++ with a deep understanding of algorithms and software development.
Experience in parallel programming using frameworks such as CUDA, OpenACC, OpenMP, MPI, or pthreads.
Hands-on experience performing low-level performance optimizations.
In-depth expertise with CPU and GPU architecture fundamentals.
Strong communication, organization, and logical problem-solving skills.
Expertise in optimizing Deep Learning models for NLP, Computer Vision, or Recommender Systems.

Save