Remotery

Senior AI Solutions Architect

atNVIDIARemoteUS flagCaliforniaFull-timeSolutions EngineerSenior$152k – $287.5k/year

Posted Aug 4

This is a fully remote position, open to applicants in California.

📋 Description

• Assist the Business Development and Sales teams as part of a quartet, collaborating with Industry Business leads, Account Managers, and Developer Relations managers to enhance the success of the developer ecosystem.

• Engage directly with developers and clients in a customer-facing role.

• Aid developers in the adoption of NVIDIA libraries and software frameworks tailored for modern AI and data platforms.

• Evaluate application architectures and pinpoint opportunities for acceleration.

• Provide insights and collaborate with engineering, product, and research teams.

• Conduct training sessions, hackathons, and technical demonstrations on NVIDIA solutions and platforms.


⛳️ Requirements

• MS/PhD degree in Machine Learning, Computational Science, Physics, or a related technical discipline, or an equivalent level of experience.

• Over 4 years of experience in AI, ML, DL, NLP, and/or Generative AI.

• Knowledge of accelerated computing platforms and GPU-based distributed systems.

• Proficiency in algorithm programming with Python and C/C++.

• Development experience with leading AI frameworks such as PyTorch and TensorFlow.

• Understanding of containers, numerical libraries, modular software design, version control, and GitHub.

• Hands-on experience in designing, prototyping, and constructing complex AI/ML-based solutions for clients.

• Capability to analyze data pipelines, models, compute, networking, and orchestration.

• Strong written and verbal communication skills, along with familiarity in collaborative settings.

• Ability to learn, respond, and adapt swiftly in a dynamic environment.

• Experience with NVIDIA software libraries and GPUs.

• Familiar with Kubernetes, distributed training, and large-scale inference.

• Experience in supporting or utilizing PCIe accelerators like GPUs, FPGAs, and DSPs from evaluation to production.

• Knowledge of embedded domain-specific languages such as CUDA, OneAPI, OpenCL, or HDL.


🏝️ Benefits

• Equity

• Comprehensive benefits

• An inclusive and supportive workplace

• Commitment to equal opportunity employment

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