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Remote Software Engineer Gpu Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

GPU Software Engineer

$138K - $185K/yr

USA(Remote) Role Summary We are seeking expert-level GPU Software Engineers to support a high-visibility platform initiative within the Maya program, focused on building software tooling on top of a ...

Burjline Builders

Remote Software Engineer

They are currently seeking a talented and self-motivated Remote Software Engineer to design, develop, and maintain software solutions that support their business operations and enhance customer ...

New

Nebius

Senior Systems Software Engineer, GPU Compute

$125K - $165K/yr

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 ...

Cohere

Software Engineer, GPU Infrastructure (HPC)

$110K - $144K/yr

The Staff Software Engineer will build and operate GPU/TPU superclusters, collaborating closely with AI researchers to enhance infrastructure for AI workloads. Responsibilities : • Build and scale ...

New

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?

Harris

MACC, a division of Harris; is seeking a Software Engineer who is skilled and has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Harris

(Remote) Software Engineer

Blair, NE · Remote

MACC, a division of Harris; is seeking a Software Engineer who is skilled and has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Harris

MACC, a division of Harris; is seeking a Software Engineer who is skilled and has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Harris

MACC, a division of Harris; is seeking a Software Engineer who is skilled and has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Harris

(Remote) Software Engineer

Tennessee, IL · Remote

MACC, a division of Harris; is seeking a Software Engineer who is skilled and has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Harris

(Remote) Software Engineer

Virginia, IL · Remote

MACC, a division of Harris; is seeking a Software Engineer who is skilled and has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Harris

(Remote) Software Engineer

Florida, NY · Remote

MACC, a division of Harris; is seeking a Software Engineer who is skilled and has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Harris

(Remote) Software Engineer

Carolina, RI · Remote

MACC, a division of Harris; is seeking a Software Engineer who is skilled and has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Harris

MACC, a division of Harris; is seeking a Software Engineer who is skilled and has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

Harris

MACC, a division of Harris; is seeking a Software Engineer who is skilled and has expertise in ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

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Remote Software Engineer Gpu information

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$63.5K

$147.5K

$205.5K

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

As of Jul 11, 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.

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Remote Software Engineer Gpu jobs near you

GPU Software Engineer

Futran Tech Solutions Pvt. Ltd.

Remote

$138K - $185K/yr

Full-time

Re-posted 28 days ago

Job description

Job Title : GPU Software Engineer
Location: USA(Remote)
Role Summary
We are seeking expert-level GPU Software Engineers to support a high-visibility platform initiative within the Maya program, focused on building software tooling on top of a custom compiler and SDK.
The role involves developing, optimizing, and porting GPU kernels and AI workloads to a specialized hardware platform.
This is a critical and time-sensitive engagement with immediate onboarding expectations and long-term roadmap alignment (~18 months).
Key Responsibilities
• Develop GPU kernels for specialized hardware platforms using PyTorch/Triton frameworks
• Build software solutions leveraging custom compiler and SDK capabilities
• Design and implement kernel-level optimizations to control hardware execution behavior
• Port open-source AI/ML models to custom SDK environments
• Port and adapt high-performance computing benchmarks and stress workloads such as:
  • Linpack (High Performance Linpack)
  • BERT/benchmark-style workloads (referred as "Babu bench")
    • Develop stress testing and validation workloads aligned to hardware behaviour and platform validation
    • Support testing and stress testing of current and next-generation hardware platforms
    • Collaborate closely with platform architects and compiler teams to enhance system capabilities

Core Technical Skills (Must-Have)
Programming & Frameworks
• Python
• C/C++ (systems-level programming)
• PyTorch
• Triton (Triton language / kernel development)
GPU & Systems Expertise
• GPU kernel development (mandatory and critical)
• Strong understanding of GPU architecture and compute optimization
• Experience with compiler-based optimizations / runtime execution layers
• Experience with custom SDKs or hardware abstraction layers
Performance & Workloads
• Experience in:
  • GEMM kernel development (matrix multiplication kernels)
  • Porting ML models to new hardware platforms
  • Performance tuning and stress testing at system level

Nice-to-Have Skills
• Experience working with custom silicon / hardware platforms
• Exposure to high-performance computing (HPC) workloads
• Familiarity with:
  • Linpack benchmarks
  • AI workload benchmarking tools
    • Experience in compiler optimization ecosystems

Engagement Model & Structure
• Number of roles: 3 developers (initial hiring may start with 2)
• Location flexibility:
  • Onsite / Offshore / Hybrid mix allowed
    • Timeline:
  • Immediate start required
    • Duration:
  • ~18 months program duration with phased platform evolution

Interview Process
• Candidates will undergo direct technical evaluation by program lead
• Strong preference for candidates who can showcase real implementations / past work (hands-on kernel development)
Key Differentiators (Critical Expectation)
• This is NOT a DevOps / support / debugging role
• Requires deep hands-on engineering expertise in:
  • Kernel programming
  • GPU workloads
  • ML framework internals
    • Candidates must demonstrate build-level competence, not just theoretical knowledge

Success Criteria
• Ability to deliver:
  • High-performance kernels
  • Production-ready software for hardware platforms
    • Successful porting of models and workloads to custom environments
    • Contribution to next-generation platform readiness and validation

✅ Recommended Screening Criteria
To help you send the right candidates quickly, prioritize profiles with:
• Proven GPU kernel development experience (non-negotiable)
• Hands-on PyTorch + Triton kernel implementation
• Evidence of systems-level programming (C/C++)
• Contributions to AI infrastructure, HPC, or compiler-level work

Apply