NVIDIA
NVIDIA is looking for an engineer who wants the excitement of direct customer interaction, and the reward of contributing to software and products, to join our team of Solution Engineers working on the NVIDIA AI Enterprise product line! You will be working directly with customers to get them solutions on the latest NVIDIA hardware including the GB200. We are looking for an experienced engineer to triage customers' AI/ML workloads in huge datacenters of rack-scale GB200s, resolve customer problems, and contribute to products and support software. You must have excellent problem-solving abilities and communication skills and be able to work on multiple projects and tasks. You must be technically strong in Linux, have solid programming skills, and possess experience working with AI technologies. Experience analyzing software performance of distributed GPU-accelerated workloads is a plus.
What you'll be doing:
Provide direct support to our NVIDIA Enterprise customers and work to answer questions, reproduce, resolve, or advance customer issues.
Work with engineering teams on customer issues, providing logs, reproduction information, and other triage information.
Create/update product and/or support tools.
Take ownership and drive customer issues from inception to resolution.
Document customer interactions and better enhance our knowledge base.
Develop features and tools as part of solution engineering efforts to support AI Enterprise technologies
Occasional work on weekends and holidays to support customers
What we need to see: Minimum of a BS in Computer Science, Electrical Engineering, or equivalent experience.
At least 5+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions.
Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
Strong AI/ML expertise.
Professional-level communication skills, including adjusting communication to the technical level of the audience, and stay calm and focused in negative situations.
Excellent follow-up and organizational skills, with a passion or love for solving problems.
Proficient in Python programming with the ability to develop scripts and build custom tools. Experience with parallel programming or GPU acceleration (e.g., CUDA) is highly desirable.
Ways to stand out from the crowd: Experience with Chatbots, RAG pipelines, vector databases, distributed training or inference workloads
Experience developing in GPU accelerated / cloud / virtualized environments
Containerized solutions experience with knowledge of Docker and/or Kubernetes, and/or experience analyzing software performance of distributed workloads
Experience with common deep learning frameworks such as PyTorch or TensorFlow
Experience developing with C/C++
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and
benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr
Work with engineering teams on customer issues, providing logs, reproduction information, and other triage information.
Create/update product and/or support tools.
Take ownership and drive customer issues from inception to resolution.
Document customer interactions and better enhance our knowledge base.
Develop features and tools as part of solution engineering efforts to support AI Enterprise technologies
Occasional work on weekends and holidays to support customers
What we need to see: Minimum of a BS in Computer Science, Electrical Engineering, or equivalent experience.
At least 5+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions.
Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.
Strong AI/ML expertise.
Professional-level communication skills, including adjusting communication to the technical level of the audience, and stay calm and focused in negative situations.
Excellent follow-up and organizational skills, with a passion or love for solving problems.
Proficient in Python programming with the ability to develop scripts and build custom tools. Experience with parallel programming or GPU acceleration (e.g., CUDA) is highly desirable.
Ways to stand out from the crowd: Experience with Chatbots, RAG pipelines, vector databases, distributed training or inference workloads
Experience developing in GPU accelerated / cloud / virtualized environments
Containerized solutions experience with knowledge of Docker and/or Kubernetes, and/or experience analyzing software performance of distributed workloads
Experience with common deep learning frameworks such as PyTorch or TensorFlow
Experience developing with C/C++
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and
benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr