Senior Solutions Architect, Autonomous Driving - GenAINVIDIA Corporation • United States
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Senior Solutions Architect, Autonomous Driving - GenAI
NVIDIA Corporation
- United States
- United States
About
Provide hands-on technical mentorship to partners and customers on Nvidia GenAI stack. Guide customers to develope and deploy Agentic AI workflows on our platforms, quantifying the benefits of our accelerated computing software and hardware.
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.
Build collateral (notebooks, github repos, demos, etc.) applied to workflows such as AV and GenAI data curation, model training and validations, LLMs, VFMs, video encoding/decoding, etc.
What we need to see: Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
8+ years of hands-on experience in a technical AI role, with a strong emphasis on AV End-to-End models and GenAI model development.
Experience writing production codes in Python, or C++ and proficiency with Linux.
Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes.
Strong understanding of AV systems (Sensors, dynamics, perception, prediction, planning, control).
Experience with DL and RL algorithms and frameworks such as PyTorch.
Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams).
Effective verbal/written communication, and technical presentation skills.
Self-starter with a vision for growth, real passion for continuous learning and sharing findings across the team.
Ways to stand out from the crowd: Experience with AV sensors, data curation pipelines, world models, simulations workflows and tools e.g., Carla.
Experience with Agentic AI frameworks, tools, and protocols like LangChain, LangGraph, MCP or equivalent experience.
Understand computational characteristics of Multimodal LLMs, VLMs, DiT, etc.
Experience in deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP).
Proven track record to profile and optimize inference latency and throughput, memory and I/O utilization.
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. 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. Similar Jobs (5)
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- English
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