Senior Developer Technology Engineer, Public Sector

NVIDIA; California (MO); On-site; USD 184,000 - 287,500; Full time

Job summary

NVIDIA is hiring a Senior Developer Technology Engineer for the Public Sector. This role involves collaborating with application developers to optimize core algorithms using GPUs, contributing to the full software stack, and influencing software architecture design. Candidates should hold an MS or PhD in a relevant field and have at least 5 years of experience in parallel programming, particularly with CUDA C/C++. The compensation is competitive, with salaries ranging from $184,000 to $287,500, plus equity and benefits.

Qualifications

• 5+ years of relevant work experience with parallel programming.
• Passion for optimizing codes to run fast through parallel programming.
• Strong fundamentals in computer science, especially in parallel algorithms.

Responsibilities

• Work with key application developers to solve current and future problems.
• Collaborate with diverse groups to influence software and architecture design.
• Occasional travel for conferences and on-site developer visits.

Skills

C/C++ programming fluency

Parallel programming experience

Algorithm design

Performance optimization

Understanding of GPUs

Education

MS or PhD in Computer Science, Engineering or STEM

Tools

CUDA

MPI

OpenMP

Nsight Systems

Nsight Compute

Job description

We are now seeking a Senior Developer Technology Engineer for the Public Sector.

What You’ll Be Doing

• Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through reference code development and direct contribution to the full software stack including libraries and applications.
• Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of architectures, software, and programming models, by investigating the impact on application performance and developer productivity.
• Occasional travel from time to time for conferences and on-site visits with developers.

What We Need To See

• Have an MS or PhD degree or equivalent experience in Computer Science, Engineering or STEM field.
• Programming fluency in C/C++ with a deep understanding of software design, programming techniques, and algorithms.
• 5+ years of relevant work experience with parallel programming, ideally CUDA C/C++, OpenMP or MPI, or SHMEM (OpenSHMEM or NVSHMEM).
• Strong computer science fundamentals, ideally including parallel data structures and algorithms, combinatorics, and sparse representations.
• Passion for optimizing codes to run exceptionally fast through parallel programming.

Ways To Stand Out From The Crowd

• Experience optimizing complex codes, especially for GPUs, including kernel optimization and strong understanding of how software runs on hardware. A background with algorithm and architecture co‑design is a plus.
• Domain expertise in any of the following: electronic design automation, high-performance computing, computational fluid dynamics, data and graph analytics, data science, network analysis, machine learning, or deep learning.
• Experience in profiling and optimizing applications and frameworks (e.g., Nsight Systems and Nsight Compute).
• Experience in developing or optimizing workflows involving HPC and AI models.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $184,000 – $287,500 for Level 4, and $224,000 – $356,500 for Level 5. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 13, 2026.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.