... CUDA, OpenCL). * Customer-centric approach with a proven ability to build trust and foster ... Remote Work Reimbursement: Up to $85/month for mobile and internet. * Disability & Life Insurance:
... CUDA, OpenCL). * Customer-centric approach with a proven ability to build trust and foster ... Remote Work Reimbursement: Up to $85/month for mobile and internet. * Disability & Life Insurance:
Software Development Engineer
Topeka, KS · On-site +1
NVIDIA, CUDA Python, PyCUDA, etc.) * Field Collection/Mobile Applications (IOS, Android, etc.) and ... Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ...
Software Development Engineer
Topeka, KS · On-site +1
NVIDIA, CUDA Python, PyCUDA, etc.) * Field Collection/Mobile Applications (IOS, Android, etc.) and ... Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ...
Cuda Remote information
Are CUDA programmers in demand?
CUDA programmers are in high demand in fields such as artificial intelligence, data science, and high-performance computing due to their expertise in parallel programming and GPU acceleration. Companies seek professionals with skills in CUDA, C++, and related tools to optimize computational tasks, and job opportunities are growing across various industries that require intensive data processing. Certifications and experience with GPU architectures can enhance employability in this specialized field.
What are the key skills and qualifications needed to thrive as a CUDA Remote Developer, and why are they important?
To excel as a CUDA Remote Developer, you need strong programming skills in C/C++ and parallel computing concepts, typically supported by a degree in computer science or related field. Familiarity with NVIDIA CUDA Toolkit, GPU architectures, and related development environments is essential. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage remote work challenges. These competencies ensure efficient development of high-performance GPU-accelerated applications and productive teamwork in distributed settings.
What are some common challenges faced by Cuda Remote developers when working with distributed GPU workloads?
Cuda Remote developers often encounter challenges related to optimizing data transfer between remote devices, managing synchronization across distributed systems, and debugging performance issues that arise due to network latency. Collaborating with cross-functional teams, such as data scientists and DevOps engineers, is essential to ensure efficient GPU resource allocation and seamless integration with existing infrastructures. Staying up to date with the latest CUDA libraries and best practices is also important for overcoming these hurdles and delivering scalable, high-performance solutions.
What jobs use CUDA?
Jobs that use CUDA typically include roles in GPU programming, machine learning, deep learning, data science, and high-performance computing. These positions often require knowledge of parallel programming, C++, and NVIDIA's CUDA toolkit to optimize software for GPU acceleration.
Does Nvidia offer remote positions?
Nvidia offers remote positions for various roles, including technical and engineering jobs like CUDA Remote. These positions often require specific skills, such as programming in CUDA and experience with GPU computing, and may be available in flexible or fully remote work environments depending on the role and team needs.
What is the difference between Cuda Remote vs Data Analyst?
| Aspect | Cuda Remote | Data Analyst |
|---|---|---|
| Required Credentials | Technical certifications, remote work experience | Degree in statistics, data science, or related field |
| Work Environment | Remote, often project-based | Office or remote, depending on employer |
| Industry Usage | Tech, finance, healthcare | Business, marketing, finance |
| Common Search/Comparison | Remote tech roles | Data analysis jobs |
While Cuda Remote focuses on remote technical roles often involving CUDA programming, Data Analysts primarily analyze data to inform business decisions. Both roles may require analytical skills, but Cuda Remote emphasizes technical CUDA expertise in remote settings, whereas Data Analysts focus on data interpretation and visualization, often in office or hybrid environments.
What are CUDA Remote jobs?
CUDA Remote jobs are positions that focus on developing, optimizing, or supporting applications using NVIDIA's CUDA platform, which enables parallel computing on GPUs, and can be performed entirely from a remote location. These jobs typically involve programming in C, C++, or Python, and require knowledge of parallel computing concepts. Remote CUDA roles are common in industries like AI, scientific computing, data analytics, and graphics rendering, allowing professionals to collaborate with teams globally without needing to relocate.
How much do CUDA engineers make?
CUDA engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in GPU programming and deep learning can command higher salaries, especially in tech hubs or companies focusing on AI and high-performance computing.
What are the most commonly searched types of Cuda jobs in Kansas? The most popular types of Cuda jobs in Kansas are:
What are popular job titles related to Cuda Remote jobs in Kansas? For Cuda Remote jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Cuda Remote jobs in Kansas look for? The top searched job categories for Cuda Remote jobs in Kansas are:
What cities in Kansas are hiring for Cuda Remote jobs? Cities in Kansas with the most Cuda Remote job openings:
Other
Medical, Dental, Vision, Retirement
Re-posted 10 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!