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:
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:
$89K - $123K/yr
Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ... GPU utilization and throughput * Profile and optimize deep neural networks on NVIDIA GPUs using ...
$89K - $123K/yr
Remote US Company: Pictor Labs Employment Type: Full-time Responsibilities * Design, development ... GPU utilization and throughput * Profile and optimize deep neural networks on NVIDIA GPUs using ...
Software Development Engineer
Topeka, KS · On-site +1
Graphical Processing Unit (GPU) Applications (i.e. NVIDIA, CUDA Python, PyCUDA, etc.) * Field ... Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ...
Software Development Engineer
Topeka, KS · On-site +1
Graphical Processing Unit (GPU) Applications (i.e. NVIDIA, CUDA Python, PyCUDA, etc.) * Field ... Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ...
Remote Gpu information
What is a remote GPU?
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 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.
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 is the difference between Remote Gpu vs Remote Data Scientist?
| Aspect | Remote Gpu | Remote Data Scientist |
|---|---|---|
| Required Credentials | GPU programming certifications, CUDA, OpenCL | Statistics, machine learning, programming (Python, R) |
| Work Environment | High-performance computing, hardware access, cloud GPU services | Data analysis, modeling, visualization |
| Industry Usage | AI, deep learning, graphics rendering | Business 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 popular job titles related to Remote Gpu jobs in Kansas?
For Remote Gpu jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Gpu jobs in Kansas look for?
The top searched job categories for Remote Gpu jobs in Kansas are:
Customer Engineer
Remote
Nebius
Full-time
Medical, Dental, Vision, Retirement
Re-posted 8 days ago
Job description
The role
We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.
You're welcome to work remotely from the United States.
Your responsibilities will include:
- Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
- Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
- Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
- Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
- Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.
We expect you to have:
- Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
- Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
- Experience with Kubernetes and Python programming.
- Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
- Customer-centric approach with a proven ability to build trust and foster long-term relationships.
- Strong ability to explain technical concepts to technical and non-technical audiences.
It will be an added bonus if you have:
- Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
- Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
- Proven experience mentoring technical teams and driving team growth.
- Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.
Key Employee Benefits:
- Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) Plan: Up to 4% company match with immediate vesting.
- Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote Work Reimbursement: Up to $85/month for mobile and internet.
- Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.
Join Nebius Today!