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Remote Gpu Programming Jobs (NOW HIRING)

Danaher

Senior Software Engineer - USA Remote

Raleigh, NC · Remote

$119K - $157K/yr

This fully remote position is part of the Leica Microsystems Research and Development organization ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

Danaher

Senior Software Engineer - USA Remote

OR · Remote

$122K - $161K/yr

This fully remote position is part of the Leica Microsystems Research and Development organization ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

Nebius

GPU Cluster Architect

$184K - $318K/yr

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we ... Remote work reimbursement: Up to $85/month for mobile and internet. * Disability & life insurance

Danaher

Senior Software Engineer - USA Remote

Durham, NC · Remote

$118K - $156K/yr

This fully remote position is part of the Leica Microsystems Research and Development organization ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

Danaher

Senior Software Engineer - USA Remote

$125K - $165K/yr

This fully remote position is part of the Leica Microsystems Research and Development organization ... GPU programming using CUDA; Targeting ARM & X86 processing environments; User Interface design;

PICTOR LABS INC

$89K - $123K/yr

The ideal candidate will have deep expertise in ML inference optimization, GPU programming, and ... Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ...

SAIC

OpenGL Developer

Huntsville, AL · On-site +1

$48.25 - $65/hr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Open GL Developer to join ... Strong knowledge of computer graphics, GPU programming and performance tuning. * Familiarity with ...

SAIC

OpenGL Developer

Huntsville, AL · On-site +1

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Open GL Developer to join ... Strong knowledge of computer graphics, GPU programming and performance tuning. * Familiarity with ...

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How much do remote gpu programming jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote gpu programming in the United States is $64,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote GPU programming roles, and how can they be addressed?

Remote GPU programming roles often involve unique challenges such as managing high-latency connections to remote servers, troubleshooting hardware-specific issues without physical access, and ensuring code compatibility across different GPU architectures. Effective communication with distributed teams is crucial, as is using robust remote debugging tools and version control systems. Staying proactive with documentation and regularly syncing with team members can help address these obstacles and support successful project delivery.

What is remote GPU programming?

Remote GPU programming refers to the practice of developing and running code that utilizes graphics processing units (GPUs) on computers or servers that are accessed over a network, rather than on your local machine. This approach allows developers to leverage powerful, often cloud-based, GPU resources to handle computationally intensive tasks like machine learning, scientific simulations, or rendering without needing specialized hardware themselves. It often involves using remote desktop tools, cloud platforms, or custom APIs to access and manage GPU resources remotely.

What are the key skills and qualifications needed to thrive as a Remote GPU Programmer, and why are they important?

To thrive as a Remote GPU Programmer, you need in-depth knowledge of parallel computing, proficiency in programming languages like C/C++, and experience with GPU architectures, often backed by a degree in computer science or a related field. Familiarity with technical tools such as CUDA, OpenCL, and GPU profiling/debugging systems is commonly required, along with certifications in GPU programming or high-performance computing. Strong problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in distributed teams. These competencies are crucial for efficiently developing and optimizing GPU-accelerated applications while collaborating across remote environments.
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Remote Gpu Programming jobs near you

Member of Technical Staff (GPU Performance Engineer)

Reka

Remote

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago

Job description

We are seeking an experienced GPU Performance Engineer with a strong background in Python and large-scale model training. In this role, you will design and implement improvements to our training infrastructure and directly contribute to technical decisions that optimize performance of our models. You will also work on post-training processes, including reinforcement learning and fine-tuning. Furthermore, you will contribute to improving the efficiency and scalability of our model serving infrastructure.
Ideal Experience
  • Strong engineering skills with fluency in Python and PyTorch (or other frameworks).
  • Proven experience implementing and training large deep learning models.
  • Experience writing and debugging low-level GPU code (CUDA, C++).
  • Experience scaling up GPU jobs using large-scale compute clusters (e.g., Slurm or Kubernetes).
  • Demonstrated ability to analyze and optimize the performance of GPU-accelerated workloads, including profiling, identifying bottlenecks, and implementing performance tuning techniques.

Reka's Mission
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organizations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to numerous breakthroughs in AI over the past decade.
Why Reka?
  • An Elite Team: Collaborate with top-tier engineers, researchers, and operators from renowned organizations like Google DeepMind, Facebook AI Research (FAIR), and successful startups, driving innovation in AI technology.
  • Cutting-edge Infrastructure: Train state-of-the-art models leveraging the latest software and hardware, expanding the frontier of innovation in AI infrastructure development.
  • Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
  • Generous Benefits: Enjoy five weeks of paid leave to recharge, comprehensive healthcare benefits (including vision and dental), and additional perks that support your well-being.
  • Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.

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