... compute footprints, test plans, and rollout strategies. * Strategize, identify, and assess ... Ways to stand out from the crowd: * Experience in deploying and managing data center-scale ...
... compute footprints, test plans, and rollout strategies. * Strategize, identify, and assess ... Ways to stand out from the crowd: * Experience in deploying and managing data center-scale ...
Senior Crowd Compute information
What is the difference between Senior Crowd Compute vs Data Labeler?
| Aspect | Senior Crowd Compute | Data Labeler |
|---|---|---|
| Required Credentials | Experience in crowdsourcing platforms, basic technical skills | Basic computer skills, attention to detail |
| Work Environment | Remote, collaborative, project-based | Remote or on-site, task-specific |
| Employer & Industry Usage | Tech companies, AI/ML projects | AI/ML, data annotation firms |
| Common Search & Comparison | Often compared for roles in crowdsourcing and data annotation | Entry-level data annotation roles |
Senior Crowd Compute professionals oversee large-scale data collection and manage crowdsourcing projects, requiring experience with platforms and technical skills. Data Labelers perform specific annotation tasks, focusing on accuracy and attention to detail. While both roles are integral to AI/ML data pipelines, Senior Crowd Compute roles involve higher-level project management and strategic oversight, whereas Data Labelers focus on task execution.
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Full-time
Re-posted 7 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
7th of 245 rated software companies
Job description
Physical AI and Artificial Intelligence (AI) are key markets for NVIDIA. Researchers and developers actively embrace full-stack optimizations to accelerate their workloads and research. To help them onboard Accelerated Computing, NVIDIA leads a series of hackathons and bootcamps along with its partners. Hackathons are short-typically week-long-intensive coding sessions where experienced mentors team up with groups of researchers and data scientists to guide them in accelerating or optimizing their projects using accelerated infrastructure and enterprise-grade software, across a variety of programming models, frameworks, and tools.
We are looking for a Senior Developer Advocate Engineer to own technical engagements for a rapidly growing program of Open Hackathons and Bootcamps focused on the use of AI in Physical AI & Robotics. In this position, you will closely collaborate with developers to help adopt the NVIDIA accelerated computing stack (CPU and GPU technologies) for their work, optimize code and AI workflows, and build a growing community. You will build strategic relationships with our partners, mentor at hackathons, and help craft materials to educate attendees and prepare them for hackathons. Do you have a passion for community-based development, connecting people, and mentoring? If so, we would like to speak with you right away!
What you'll be doing:
Stay abreast of the latest developments in robotics, physical AI, digital twins, and develop proof-of-concept solutions for real-world applications.
Build and refine training materials and mentor team members solving real-world problems using NVIDIA Omniverse, Isaac Sim, Isaac Lab, Cosmos, and related stacks to create simulations, digital twins, and robotics workflows, etc.
Collaborate and provide feedback to NVIDIA product teams to help with product adoption, bugs, feature requests, and additional activities through our hackathon program.
Promote through publishing blogs and papers, facilitating presentations, and using other media that convey the impact of the work accomplished by teams at the hackathons.
Mentor developers and researchers to integrate NVIDIA technology using Omniverse, Cosmos, synthetic data, and coding-agent-assisted digital twins workflows to define architectures, compute footprints, test plans, and rollout strategies.
Strategize, identify, and assess potential sites, mentors, and key applications for Open Hackathons and Bootcamps.
Assess each hackathon's computing and software infrastructure.
Write comprehensive internal feedback reports and find opportunities for improvement.
What we need to see:
Master's degree in Computer Science, Computer Engineering, or relevant field (or equivalent experience).
12+ years of relevant enterprise experience in developing robotics, physical AI, digital twins, simulation, or auto/AV solutions at scale, including synthetic data generation, evaluation, benchmarking, inference optimization, and deployment.
Fluent in using the NVIDIA accelerated computing stack for HPC and AI workloads.
Capability to think strategically, while jumping directly into day-to-day event and account management.
Ability to thrive in a highly dynamic environment and to lead change through multi-functional teamwork.
Proven ability to understand partners' goals and distill that feedback into an action plan that addresses core needs.
Excellent verbal, written, and interpersonal communication skills.
Ways to stand out from the crowd:
Experience in deploying and managing data center-scale applications with Omniverse, Cosmos, or embodied AI toolchains.
Active OSS contributions in robotics, simulation, physical AI, 3D perception, or autonomy infrastructure.
Experience in facilitating and instructing at group training events.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993