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From Home Nvidia Engineering Jobs in Kansas (NOW HIRING)

$105K - $138K/yr

Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries ... out from the crowd: * Background in domain specific compiler and library solutions for LLM ...

$89K - $123K/yr

... from tens of minutes to under 2 minutes, deploying models on edge devices with NVIDIA hardware, and ... Work with ML Research and Engineering teams to optimize model architectures and deployment ...

Engineering Manager This Engineering Manager role leads a team of mechanical engineers to design ... working from home, following a typical 8:00 a.m. to 5:00 p.m. schedule. Most of the work takes ...

Engineering Manager This Engineering Manager role leads a team of mechanical engineers to design ... working from home, following a typical 8:00 a.m. to 5:00 p.m. schedule. Most of the work takes ...

The role We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud ... Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers. * Strong project ...

... Engineering from an ABET accredited university • Professional engineering licensure in a ... home option • Paid Holidays (8) • 401(k) with annual company contributions regardless of ...

... Engineering from an ABET accredited university · Professional engineering licensure in a ... week work from home option · Paid Holidays (8) · 401(k) with annual company contributions ...

Work as part of a team to develop software applications for engineering and information management ... NVIDIA, CUDA Python, PyCUDA, etc.) * Field Collection/Mobile Applications (IOS, Android, etc.) and ...

Hiring: FAI Reviewer

Wichita, KS · On-site

$45K - $60K/yr

Fulltime One of our Reputed Customers is looking for the Supplier FAI (First Article Inspection) Review Engineer for long term assignments. Initial Assignment would be Work from home. Later on, as ...

Monday through Friday (hybrid: in office M-Th, wfh Fridays) Salary: $95k-$105k Benefits: A full ... Looking for a candidate with demonstrated expertise in supplier development engineering to join our ...

New

From scheduling to safety, your responsibilities will include: * Implementing Bowen's SQP process ... Work directly with Craft, PMs, Superintendents, and Engineering Partners, seeing the work unfold ...

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Showing results 1-20

From Home Nvidia Engineering information

What is the difference between From Home Nvidia Engineering vs From Home Nvidia Software Developer?

AspectFrom Home Nvidia EngineeringFrom Home Nvidia Software Developer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; often requires hardware or systems certificationsBachelor's in Computer Science, Software Engineering, or related; certifications like Microsoft or AWS are common
Work EnvironmentPrimarily hardware-focused, involving testing, troubleshooting, and designing GPU systems remotelyPrimarily software-focused, involving coding, debugging, and software development remotely
Employer & Industry UsageUsed by Nvidia for hardware and system design roles, often in R&D or product developmentUsed by Nvidia for software development roles, including driver development and application software

From Home Nvidia Engineering roles focus on hardware, systems, and GPU design, requiring engineering credentials. In contrast, From Home Nvidia Software Developer roles center on coding and software solutions, requiring programming skills. Both roles are remote, industry-specific, and essential to Nvidia's product development, but they differ in technical focus and required expertise.

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Senior Software Engineer, Matrix Multiplication

Nvidia

On-site

$105K - $138K/yr

Full-time

Posted 15 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 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

Pay

Benefits

Hours and flexibility

Workplace

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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