Support Business Development and Sales teams, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive developer ecosystem success
Job Summary
Support Business Development and Sales teams, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive developer ecosystem success.
Work directly with developers and customers in a customer-facing setting, supporting them in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.
Analyze application architectures, find opportunities for acceleration, and provide feedback to engineering, product, and research teams.
Matching Summary
Support Business Development and Sales teams, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive developer ecosystem success.
Skills & Requirements
Must-have
AI solutions expertise
NVIDIA software integration
Application performance analysis
Developer productivity enhancement
Next-generation AI systems foundation
Nice-to-have
NVIDIA software libraries and GPUs
Kubernetes and distributed training
Large-scale inference experience
PCIe accelerators
Embedded domain-specific languages
Key Requirements
MS/PhD degree in Machine Learning, Computational Science, Physics or related technical field
Minimum of 5 years of experience in AI, ML, DL, NLP, and/or Generative AI
Minimum of 5 years of industrial experience in power grid software and advanced ML to grid operations
Familiarity with accelerated computing platforms and GPU-based distributed systems
Experience in algorithm programming using Python and C/C++
Development experience using major AI frameworks (PyTorch, Tensorflow)
Familiarity with containers, numerical libraries, modular software design, version control, GitHub
Experience designing, prototyping, and building complex AI/ML-based solutions
Able to reason across components such as data pipelines, models, compute, networking, and orchestration