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Temporary Software Engineer Gpu Jobs in Kansas (NOW HIRING)

$105K - $138K/yr

... engineers to develop groundbreaking technologies in the inference systems software stack! We build ... As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for ...

Work as part of a team to develop software applications for engineering and information management ... Graphical Processing Unit (GPU) Applications (i.e. NVIDIA, CUDA Python, PyCUDA, etc.) * Field ...

Engineer, Software

Overland Park, KS · On-site

$92K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The role involves collaborating with engineering teams to develop software components using ... At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic ...

Sr Software Engineer - Billing Platform

Overland Park, KS · On-site

$113K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

At T-Mobile, Senior Software Engineers design, build, and deploy scalable software solutions that ... At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic ...

$89K - $123K/yr

The ideal candidate will have deep expertise in ML inference optimization, GPU programming, and ... Strong software engineering practices including version control (Git), CI/CD, unit testing, and ...

Rail Engineer

Salina, KS

$60K - $90K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Use rail and civil design software such as MicroStation, OpenRail Designer, AutoCAD, Civil 3D ... Participate in field reviews, site visits, construction coordination, and temporary field ...

Rail Engineer

Wichita, KS

$60K - $90K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Use rail and civil design software such as MicroStation, OpenRail Designer, AutoCAD, Civil 3D ... Participate in field reviews, site visits, construction coordination, and temporary field ...

KS

$60K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Company Description Dellfor Technologies is founded by software professionals with fresh approach ... And we do it every single day - for both temporary and permanent assignments and across virtually ...

Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

Traffic Engineer/Senior Traffic Engineer

Olathe, KS · On-site

$87.36 - $135.51/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Reviewing engineering plans, development plans, permits, technical documents, and temporary traffic ... Experience using Synchro software required* Professional Engineer (PE) license in Kansas, or ...

Traffic Engineer/Senior Traffic Engineer

Olathe, KS · On-site

$97K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Reviewing engineering plans, development plans, permits, technical documents, and temporary traffic ... Experience using Synchro software required * Professional Engineer (PE) license in Kansas, or ...

CHIEF TRANSMISSION ENGINEER

Lenexa, KS · On-site

  • Medical

  • Life

  • Retirement

... Temporary Structures & Construction Devices (TCSD) team on discipline applications. • ... Periodically, support cost-benefit analysis of existing software. Business Capture • Develop a ...

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Showing results 1-20

Temporary Software Engineer Gpu information

What are the key skills and qualifications needed to thrive as a temporary software engineer GPU, and why are they important?

To thrive as a Temporary Software Engineer GPU, you need a solid background in computer science, experience with GPU programming (such as CUDA or OpenCL), and proficiency in languages like C++ or Python. Familiarity with GPU development environments, debugging tools, and version control systems, along with any relevant certifications, is highly valuable. Strong problem-solving abilities, adaptability, and effective teamwork skills help set candidates apart in this fast-evolving field. These skills enable efficient development, optimization, and integration of GPU-accelerated applications, which is crucial for meeting project deadlines and technical goals.

What does a temporary software engineer GPU do?

A Temporary Software Engineer GPU is responsible for designing, developing, and optimizing software that interacts with graphics processing units (GPUs), typically for a specific project or short-term period. Their duties may include writing code to improve GPU performance, working on graphics or compute-intensive applications, and collaborating with hardware and software teams to ensure efficient GPU utilization. These roles are often contract-based and require strong programming skills in languages such as C++ or CUDA, as well as a solid understanding of GPU architectures.

What are the typical projects a temporary software engineer GPU might work on, and how do they collaborate with permanent team members?

As a Temporary Software Engineer GPU, you can expect to be assigned to specific, time-bound projects such as optimizing graphics performance, supporting new hardware integration, or debugging GPU-related issues. You’ll often work closely with permanent engineers, participating in code reviews, daily stand-ups, and cross-functional meetings to ensure alignment and knowledge transfer. Collaboration is key, as you may need to quickly get up to speed with existing codebases and tools, and contribute solutions that fit seamlessly into larger, ongoing projects. The role offers a fast-paced environment where adaptability and strong communication skills are highly valued.

What cities in Kansas are hiring for Temporary Software Engineer Gpu jobs?

Cities in Kansas with the most Temporary Software Engineer Gpu job openings:

Senior Software Engineer, Matrix Multiplication

Nvidia

$105K - $138K/yr

Full-time

Posted 4 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the inference systems software stack! We build innovative AI systems software to accelerate for AI inference. As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for NVIDIA's hardware architecture. This means designing and building things like new abstractions, efficient attention kernel implementations, new LLM inference runtimes components, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads.

What you'll be doing:

  • Innovating and developing new AI systems technologies for efficient inference

  • Designing, implementing, and optimizing kernels for high impact AI workloads

  • Designing and implementing extensible abstractions for LLM serving engines

  • Building efficient just-in-time domain specific compilers and runtimes

  • Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams

  • Contributing to open source communities like FlashInfer, vLLM, and SGLang

What we need to see:

  • Masters degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); PhD are preferred

  • 6+ years (academic/ industry) experience with ML/DL systems development preferable

  • Strong experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC.

  • Strong Python and C/C++ programming skills

  • Strong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, cuTile, Triton, or similar) with hands-on experience with Matrix Multiplication

Ways to stand out from the crowd:

  • Background in domain specific compiler and library solutions for LLM inference and training (e.g. FlashInfer, Flash Attention)

  • Expertise in inference engines like vLLM and SGLang

  • Expertise in machine learning compilers (e.g. Apache TVM, MLIR)

  • Open source project ownership or contributions

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 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

What Nvidia employees say

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993