Nvidia
Senior Solutions Architect, AI Performance Engineering
US, CA, Santa Clara · Senior
Sponsorship not specifiedDetected 5 days ago
PythonC++Full-Stack DevelopmentGitDockerDevOpsMachine LearningPyTorchLLMsProduct StrategyRoboticsElectrical EngineeringLeadershipCommunication
About the role
- Provide technical leadership to other team members.
- What we need to see: BSc/MSc/PhD or equivalent experience in Computer Science, Electrical Engineering, Physics, Mathematics, or a related technical field.
Responsibilities
- Partner with Sales, Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption.
- Develop a deep understanding of customer workflows and requirements, lead proof-of-concepts evaluations and provide internal feedback to drive continuous product improvements.
- Perform in-depth analysis and optimization of state-of-the art AI models to ensure the best performance on current- and next-generation GPU architectures.
- Build collateral (notebooks, github repos, demos, etc.) applied to workflows such as model training and validations, LLM, VLA, VLM, World Models, video encoding/decoding, etc.
Requirements
- BSc/MSc/PhD or equivalent experience in Computer Science, Electrical Engineering, Physics, Mathematics, or a related technical field.
- 8+ years of hands-on validated ML/DL Infra experience in Autonomous Vehicles with focus on improving compute efficiency of training and inferencing workloads.
- Experience with Python, CUDA, or C++ and proficiency with Linux.
- Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes.
- Strong understanding of AV L3/L4 related models, reconstruction-based or generative world models, and simulations.
- Ability to communicate your ideas/code clearly through blog posts, GitHub, ppt.
Skills
- Join us in this exciting endeavor!
Compensation
- Development experience with NVIDIA software libraries and GPUs, and profiling. #NALASAHiring Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
Benefits
- You will also be eligible for equity and benefits.
Company info
- Engage with customers to help accelerate training AV perception and planning/policy models, simulations, synthetic data generation, software in the loop testing, at large scale using Nvidia profiling tools Nsight System/Compute and employing libraries and frameworks such as cuDNN, NCCL, Transform Engine, PyTorch, etc.
- Develop and demonstrate solutions based on NVIDIA's groundbreaking software and hardware technologies to customers.
Equal opportunity
- NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
- equal opportunity employer.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.