ZipRecruiter

Log In

2

Remote Software Engineer Gpu Jobs (NOW HIRING)

Everglade Works

Software Engineer

San Francisco, CA · Remote

$60 - $80/hr

Remote Software Engineer (USA Only) | $60 - $80 per hour Are you a software engineer who thrives in remote environments, enjoys solving complex problems, and wants to work on cutting-edge technology?

Turing

Remote Software Engineer

Manhattan, NY · Remote

$100 - $150/hr

Turing is looking for candidates with strong experience in software development, programming, and ... Fully remote work environment. * Engagement type: Contractor assignment/freelancer, potentially ...

S&S's Customer Information Systems

Systems & Software, a division of Harris; is seeking a Software Engineer who will be placed into a ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

S&S's Customer Information Systems

Systems & Software, a division of Harris; is seeking a Software Engineer who will be placed into a ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

S&S's Customer Information Systems

Systems & Software, a division of Harris; is seeking a Software Engineer who will be placed into a ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

S&S's Customer Information Systems

Systems & Software, a division of Harris; is seeking a Software Engineer who will be placed into a ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

previous pagenext page

Showing results 21-40

All Jobsremote JobsRemote Software Engineer Gpu Jobs

Remote Software Engineer Gpu information

See salary details

$63.5K

$147.5K

$205.5K

How much do remote software engineer gpu jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote software engineer gpu in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Software Engineer Gpu vs Remote Software Engineer?

AspectRemote Software Engineer GpuRemote Software Engineer
Required CredentialsBachelor's in CS, experience with GPU programming (CUDA, OpenCL)Bachelor's in CS or related, general programming skills
Work EnvironmentCollaborates with AI, graphics, or high-performance computing teamsWorks on diverse software projects across industries
Industry UsageTech, gaming, AI, scientific computingTech, finance, healthcare, startups

The main difference is that Remote Software Engineer Gpu specializes in GPU programming and high-performance computing, while a Remote Software Engineer has a broader focus on general software development across various domains. GPU roles require specific knowledge of GPU architectures and parallel processing, whereas general software engineers work on a wider range of applications.

More about Remote Software Engineer Gpu jobs

What cities are hiring for Remote Software Engineer Gpu jobs?

Cities with the most Remote Software Engineer Gpu job openings:

What are the most commonly searched types of Software Engineer Gpu jobs?

The most popular types of Software Engineer Gpu jobs are:

What states have the most Remote Software Engineer Gpu jobs?

States with the most job openings for Remote Software Engineer Gpu jobs include:

What job categories do people searching Remote Software Engineer Gpu jobs look for?

The top searched job categories for Remote Software Engineer Gpu jobs are:

Remote Software Engineer Gpu jobs near you
Infographic showing various Remote Software Engineer Gpu job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $147,524 per year, or $70.9 per hour.

Senior Systems Software Engineer, GPU Compute

Nebius

Remote

Full-time

Re-posted 26 days ago

Job description

The role

We're looking for a Senior Software Systems Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You'll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system.

In this position, you will be responsible for:

  • Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments.
  • Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions.
  • Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM.
  • Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments.
  • Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation.

We expect you to have:

  • 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming).
  • 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning).
  • In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems.
  • Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python).

It would be a plus if you have:

  • Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking.
  • Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads).
  • Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication.
  • Background in Software-Defined Networking (SDN) and experience with HPC cluster networking.
  • Understanding of QEMU/KVM virtualization and managing virtualized environments.
  • Experience with deep learning frameworks such as PyTorch and TensorFlow, and their integration with HPC systems.
  • Familiarity with collective communication libraries like MPI and NCCL for distributed computing. 

We offer competitive salaries ranging from $170k-$300k + equity based on your experience.

We conduct coding interviews as part of the process.

#LI-LH2

Apply