Senior Developer Technology Engineer

Nvidia

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $184,000–$287,500 / yr
Posted: 37 days ago
Freshness: Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k

This role $236k

$100k most similar roles pay here $308k

This role pays more than 96% of similar roles. Most pay $149,500–$190,375 — the shaded band above. At the midpoint, this role pays about $236k versus about $170k 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.

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View all roles at Nvidia

At a glance

TL;DR · Senior Developer Technology Engineer

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Senior Developer Technology Engineer, Public Sector joins the Public Sector Developer Technology team to research and develop techniques for GPU-accelerating applications within the federal ecosystem. This role involves performing in-depth analysis and optimization of core parallel algorithms and data structures to ensure peak performance on current and next-generation GPU architectures. The engineer will collaborate with application developers to solve problems in fields such as CFD, Electronic Design Automation, Graph Theory, Weather/Climate Modeling, and AI in HPC. Key responsibilities include contributing to the full software stack, including libraries and reference code. Required skills include proficiency in C/C++, CUDA C/C++, OpenMP, MPI, or SHMEM. The candidate should possess strong knowledge of parallel data structures, combinatorics, and sparse representations while utilizing tools like Nsight Systems and Nsight Compute to optimize complex codes for high-performance computing and machine learning workflows.

Skills

CUDA C++ C OpenMP MPI NVSHMEM High-Performance Computing Machine Learning Deep Learning Nsight Systems Nsight Compute Parallel Programming GPU Architecture Data Structures Graph Theory Computational Fluid Dynamics

What you'll do

Research and develop techniques to GPU-accelerate applications in fields like CFD, EDA, Graph Theory, and AI.
Perform in-depth analysis and optimization to ensure peak performance on current and next-generation GPU architectures.
Work with application developers to identify problems and craft optimized parallel algorithms and data structures.
Develop reference code and contribute directly to the full software stack, including libraries and applications.
Influence the design of hardware architectures, software, and programming models based on performance impact studies.
Profile and optimize applications and frameworks using tools like Nsight Systems and Nsight Compute.
Optimize complex codes through kernel optimization and a deep understanding of how software interacts with hardware.

What we're looking for

Must have an MS or PhD degree in Computer Science, Engineering, or a STEM field (or equivalent experience).
Proficiency in C/C++ with deep knowledge of software design, programming techniques, and algorithms.
5+ years of relevant work experience with parallel programming.
Experience with CUDA C/C++, OpenMP, MPI, or SHMEM is preferred.
Strong computer science fundamentals including parallel data structures, combinatorics, and sparse representations.
Experience optimizing complex codes for GPUs, including kernel optimization and hardware-software interaction.
Proficiency in profiling and optimizing applications using Nsight Systems and Nsight Compute.
Domain expertise in fields such as EDA, HPC, CFD, graph analytics, or machine learning is preferred.

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