The dynamic Zoom sales team drives company success by delivering cutting-edge communication solutions worldwide.
- 5+ years experience
- Apply on company site
- Benefits
- Equity
- Bonus
- Commission
Every listing shows a published salary. Filter by role, country, remote work or seniority. Updated 12h ago.
The dynamic Zoom sales team drives company success by delivering cutting-edge communication solutions worldwide.
You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
From the moment you wake up in the morning until you go to bed at night consider the media you consume, the adverts you see, the apps you use, the websites you browse and almost all of the shopping you do online throughout the day.
As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.
Build, deploy, and maintain custom security scanners that leverage frontier models to detect vulnerabilities at scale across Coinbase's product surface.
This role can be performed anywhere in the United States.
We’re seeking an experienced security leader to lead Affirm’s global security investigations and incident response program as we expand internationally.
We’re seeking an experienced security leader to lead Affirm’s global security investigations and incident response program as we expand internationally.
In this role, you will be responsible for managing a team of highly skilled engineers, focusing on the development of an accelerated image and data processing solutions.
Contribute to the Dynamo family of open source projects. Serve as a technical expert in AI inferencing, helping to push the frontier of what's possible. Represent Dynamo and NVIDIA with customers, partners and the AI community.
Collaborate with internal product, research, and engineering teams and external partners to define system requirements to enable fault-tolerant quantum computing.
Main task: Verify AI-related sophisticated ASIC designs & features with formal verification methods. Multi-functional Collaboration: Partner with architecture/RTL teams to specify properties, resolve deep design issues, and influence micro-architecture decisions.
Main task: Verify AI-related sophisticated ASIC designs & features with formal verification methods. Multi-functional Collaboration: Partner with architecture/RTL teams to specify properties, resolve deep design issues, and influence micro-architecture decisions.
Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency. Construct, investigate, and test popular deep learning algorithms and applications.
As a key member of our ASIC Verification team, you will verify the design and implementation of inference accelerator. You will be responsible for verification of the ASIC design, architecture, reference models and micro-architecture using advanced verification methodologies.
Partner with our industry and account teams in a customer facing role to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. Document what you know and teach others.
Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers. Be the domain expert with partners during planning calls through implementation.
Serve as NVIDIA's technical SME, engaging with internal and external stakeholders, customers, users and product teams to design developer tools, APIs, and workflows for chemistry and materials science.
AI Factory deployment planning: Collaborate with NVIDIA product, engineering and partners teams to understand NVIDIA’s reference architecture for AI Factory infrastructure.
Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks. Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.
Accountable for managing and communicating processes, material readiness, build schedule exercises and communicating status back to the larger team in headquarter. Drive factory MP teams to efficiently and effectively check BOM/ECO implementation.
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.
Drive architectural specifications to closure across multiple stakeholders. Develop written specifications for key component-level and system-level designs. Embody specifications in an executable model used by many customers across NVIDIA.
You and your teammates will own every part of the engineering mission of cuEST - from idea to shipped CUDA-X library.