What You Will Be Doing
- Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIAs ML / DL and data science software and hardware technologies
- Build and deploy AI / ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms
- Build custom PoCs for solutions that address customers critical business needs applying NVIDIA hardware and software technology
- Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML / DL and other software solutions
- Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions
- Conduct regular technical customer meetings for project / product roadmap, feature discussions, and introduction to new technologies, establishing close technical ties to the customer to facilitate rapid resolution of issues
What We Need To See
3+ years of Solutions Engineering (or similar Sales Engineering roles) or equivalent experience3+ years of work-related experience in Deep Learning and Machine Learning, including experience with deep learning frameworks such as TensorFlow or PyTorch; GPU and CUDA experience is extremely helpfulBS / MS / PhD in Electrical / Computer Engineering, Computer Science, Statistics, Physics, or related fields, or equivalent experienceEstablished track record of deploying solutions in cloud computing environments including AWS, GCP, or AzureKnowledge of DevOps / ML Ops technologies such as Docker / containers, Kubernetes, data center deploymentsAbility to use at least one scripting language (e.g., Python)Good programming and debugging skillsAbility to communicate ideas and code clearly through documents, presentations, etc.Ways To Stand Out From The Crowd
AWS, GCP or Azure Professional Solution Architect CertificationHands-on experience with NVIDIA GPUs and SDKs (e.g. CUDA, RAPIDS, Triton)System-level experience with GPU-based systemsExperience with Deep Learning at scaleFamiliarity with parallel programming and distributed computing platformsWe make extensive use of conferencing tools; occasional travel to customer sites and industry events may be required.
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate in hiring or 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.
Your base salary will be determined based on your location, experience, and current pay for similar roles. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 24, 2025.
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