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Remote Gpu Jobs (NOW HIRING)

Remote Rate: $130K per annum Job Responsibilities Develop and optimize features in a modern, low-level Vulkan rendering engine Profile and improve GPU and CPU performance across the rendering ...

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ...

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ...

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ...

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ...

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ...

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... Profile GPU workloads using tools such as N sight Compute, Nsight Systems, nvprof, and ...

AI Infrastructure Engineer

New York, NY · Remote

$150K - $200K/yr

Our headquarters are in San Francisco (Salesforce Tower), but our team is distributed around the globe and we have a remote-first work culture. We are the leading platform for operating GPU ...

... 500 stipend for remote office setup in first year + $400 each following year * Internet ... Design and maintain GPU and bare metal infrastructure in containerized and physical environments

The role We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud ... Remote Work Reimbursement: Up to $85/month for mobile and internet. * Disability & Life Insurance:

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Remote Gpu information

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 a strong background in computer science, GPU architectures, parallel programming (CUDA/OpenCL), and relevant software development experience. Familiarity with tools like NVIDIA CUDA Toolkit, profiling/debugging utilities, and cloud-based GPU platforms (e.g., AWS, Azure) is essential, along with certifications in GPU computing as a plus. Excellent problem-solving, communication, and self-motivation are critical soft skills for collaborating remotely and handling complex technical challenges. Mastery of these skills ensures efficient design, optimization, and deployment of high-performance GPU solutions in distributed environments.

What are Remote GPUs?

Remote GPUs are graphics processing units that are hosted on remote servers and accessed over the internet, rather than being physically installed in your local computer. They enable users to perform high-performance computing tasks such as machine learning, rendering, or data analysis without investing in expensive hardware. Remote GPUs are commonly used in cloud computing environments, making powerful GPU resources accessible on-demand and scalable according to project needs.

What is the difference between Remote Gpu vs Remote Data Scientist?

AspectRemote GpuRemote Data Scientist
Required CredentialsGPU programming certifications, CUDA, OpenCLStatistics, machine learning, programming (Python, R)
Work EnvironmentHigh-performance computing, hardware access, cloud GPU servicesData analysis, modeling, visualization
Industry UsageAI, deep learning, graphics renderingBusiness analytics, research, AI development

Remote Gpu roles focus on GPU programming and hardware utilization for AI and graphics tasks, often requiring technical certifications. Remote Data Scientists analyze data, build models, and interpret results, typically with programming and statistical skills. While both roles may work remotely and in tech industries, their core skills and tools differ significantly.

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

Professionals in Remote GPU roles often encounter challenges such as managing latency, ensuring data security, and optimizing resource allocation across distributed systems. Effective communication and collaboration with cross-functional teams—including software developers, data scientists, and IT administrators—are essential to address these issues. Staying updated with the latest GPU virtualization technologies and best practices can also help professionals troubleshoot performance bottlenecks and maintain seamless remote access to GPU resources.
More about Remote Gpu jobs
What cities are hiring for Remote Gpu jobs? Cities with the most Remote Gpu job openings:
What are the most commonly searched types of Gpu jobs? The most popular types of Gpu jobs are:
What states have the most Remote Gpu jobs? States with the most job openings for Remote Gpu jobs include:
ASIC Verification Engineer - ARM Remote Job

ASIC Verification Engineer - ARM Remote Job

PDDN INC.

Santa Clara, CA • On-site, Remote

Contractor

Posted 5 days ago


Job description

Company Description
Job Description
Role: ASIC Verification Engineer - ARM
Location: Remote
Job Type: Contract
Interview: Phone/Skype
Job Description:
Location: remote
Experience : 5 to 8 years with atleast 5 years of strong hands on verification experience
Core responsibilities:
• Assure the overall quality of our designs, which contribute to exciting launches of wireless portable hardware at Snap
• A strong focus on ARM IPs (cpu (cortex-a v9 arch), gpu (mali), debug (css600, coresight), etc.) where your knowledge and experience will allow us to review architectural/design decisions and ramp up on verification of these blocks
• Serve as an individual contributor to own and develop the verification of our core IP blocks
• Ownership throughout the whole project lifecycle, e.g.: Specification reviews, Verification plans, test case development, UVM environments, Coverage (analysis), Debugging, GLS, etc.
• Work closely with other teams to gather relevant information and share your knowledge about the design to further improve requirements and specifications. As well as providing vital feedback in their debugging efforts
• Collaborate with the global verification team to improve our processes and launch initiatives to improve the overall quality of the design as well as the way of working to become the best in class verification team
Knowledge, Skills and Abilities:
• Proven (5+ years) hands-on experience with state-of-the-art verification methodologies and processes, such as UVM / SystemVerilog, Formal verification, Constraint-random verification, Assertions, Coverage metrics, Coverage analysis, Gate Level Simulation, Key Performance Indicators testing, etc.
• Strong understanding of ARM related IPs is required: cpu (cortex-a v9 arch), gpu (mali), debug (css600, coresight), etc.
• Hands-on experience with designing and implementing C based test-cases to configure and test the ARM IPs as well as the ability to re-use the manufacturer provided test benches
• Experience with using and creating a UVM based test environment for block level verification as well as re-using those environments at (sub-)system level
• Ability to read and understand RTL code (SystemVerilog, Verilog, VHDL)
• Experience with revision control systems and CI/CD techniques
• Phenomenal interpersonal skills; ability to collaborate across teams, and to work independently
• Excellent process development, documentation and written and verbal communication skills
Core responsibilities:
• Assure the overall quality of our designs, which contribute to exciting launches of wireless portable hardware at Snap
• A strong focus on ARM IPs (cpu (cortex-a v9 arch), gpu (mali), debug (css600, coresight), etc.) where your knowledge and experience will allow us to review architectural/design decisions and ramp up on verification of these blocks
• Serve as an individual contributor to own and develop the verification of our core IP blocks
• Ownership throughout the whole project lifecycle, e.g.: Specification reviews, Verification plans, test case development, UVM environments, Coverage (analysis), Debugging, GLS, etc.
• Work closely with other teams to gather relevant information and share your knowledge about the design to further improve requirements and specifications. As well as providing vital feedback in their debugging efforts
• Collaborate with the global verification team to improve our processes and launch initiatives to improve the overall quality of the design as well as the way of working to become the best in class verification team "
What are the Optional skills and skill proficiencies for this position?
Experience with using and creating a UVM based test environment for block level verification as well as re-using those environments at (sub-)system level
• Ability to read and understand RTL code (SystemVerilog, Verilog, VHDL)
• Experience with revision control systems and CI/CD techniques
• Phenomenal interpersonal skills; ability to collaborate across teams, and to work independently
• Excellent process development, documentation and written and verbal communication skills
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.