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Remote Gpu Engineer 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 ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Your expertise in GPU computing, performance optimization, and parallel programming will be ... A flexible and innovative remote work environment. * Room for continuous growth and development in ...

Weekday AI

CUDA Engineering Expert

$80 - $100/hr

Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization * Use ... This is a fully remote role that can be completed on your own schedule. * Projects can be extended ...

Snarkify

Senior Software Engineer - CUDA

Palo Alto, CA · On-site +1

$144K - $189K/yr

Your expertise in GPU computing, performance optimization, and parallel programming will be ... A flexible and innovative remote work environment. * Room for continuous growth and development in ...

Nebius

Lead Software Systems Engineer - GPU Performance

$170K - $300K/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:

Vultr

Strategic Technical Account Manager GPU

$115K - $140K/yr

... remote office setup in first year + $400 each following year Internet reimbursement up to $75 per ... Partner with Support, SRE, Networking, NOC, and Product Management & Engineering to resolve high ...

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Remote Gpu Engineer information

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$25

$53

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How much do remote gpu engineer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for remote gpu engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

A senior GPU engineer or hardware engineer with extensive experience in graphics processing units, often working in leading tech companies or specialized hardware firms, can earn $500,000 or more annually. High compensation typically includes base salary, bonuses, and stock options, especially for those with advanced skills in hardware design, performance optimization, and deep knowledge of GPU architectures.

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

To thrive as a Remote GPU Engineer, you need strong expertise in GPU architectures, parallel programming (CUDA/OpenCL), and a solid background in computer science or engineering. Familiarity with tools like CUDA Toolkit, performance profilers, and version control systems, as well as experience with relevant certifications, is typically required. Excellent problem-solving abilities, communication skills, and the capacity to collaborate effectively in remote, distributed teams are standout soft skills. These competencies ensure efficient GPU solution development, effective troubleshooting, and seamless teamwork in a remote engineering environment.

How can I make 2000 a week working from home?

A remote GPU engineer can earn $2,000 or more weekly by working on high-demand projects such as AI, machine learning, or rendering, often requiring advanced skills in GPU programming, deep learning frameworks, and experience with tools like CUDA or TensorFlow. Achieving this income typically involves freelance contracts, consulting, or full-time roles with competitive pay, and may require specialized certifications or a strong portfolio. Consistent high performance and building a reputation in the industry can help secure higher-paying opportunities.

What engineers make $300,000 a year?

Senior GPU engineers, machine learning engineers, and software engineers with specialized skills in graphics processing, deep learning, or high-performance computing can earn $300,000 or more annually, especially with experience, advanced certifications, and working in high-demand industries like AI, gaming, or data centers. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups.

How can I make $100,000 a year working from home?

A remote GPU engineer can reach a $100,000 annual salary by gaining specialized skills in GPU programming, deep learning, or high-performance computing, and obtaining relevant certifications. Building a strong portfolio, gaining experience with tools like CUDA or TensorFlow, and working for companies that offer remote positions with competitive pay are key factors.

What are Remote GPU Engineers?

Remote GPU Engineers are specialized software or hardware engineers who work primarily with Graphics Processing Units (GPUs) from a remote location. They focus on designing, optimizing, and maintaining GPU-based systems for applications such as machine learning, high-performance computing, and graphics rendering. These professionals often collaborate with teams virtually, leveraging cloud-based GPU resources and remote access tools. Their work enables companies to efficiently utilize GPU technology without requiring engineers to be on-site.

What are some common challenges faced by Remote GPU Engineers when collaborating with distributed teams?

Remote GPU Engineers often work with global teams, which can present challenges such as coordinating across different time zones, ensuring consistent communication, and managing access to high-performance hardware remotely. To overcome these hurdles, it's important to leverage collaboration tools, maintain clear documentation, and establish regular check-ins. Additionally, using remote desktop solutions and cloud-based GPU environments can help facilitate smoother development and debugging processes.
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What cities are hiring for Remote Gpu Engineer jobs? Cities with the most Remote Gpu Engineer job openings:
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Remote Gpu Engineer jobs near you
Infographic showing various Remote Gpu Engineer job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Systems Research Engineer, GPU Programming

Together AI

San Francisco, CA • On-site, Remote

$160K - $230K/yr

Other

Medical

Posted 7 days ago

Job description

About the Role

As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation.

Requirements
  • Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.
  • Knowledge of ML/AI applications and models
  • Knowledge of performance profiling and optimization tools for GPU programming
  • Excellent problem-solving and analytical skills
  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences
Responsibilities
  • Optimize and fine-tune GPU code to achieve better performance and scalability
  • Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
  • Stay up-to-date with the latest advancements in GPU programming techniques and technologies
About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy  

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