The Organizing Director will be responsible for the development and implementation of power and base-building strategies to advance Working Partnerships USA's long-term agenda. This includes driving issue and advocacy campaigns, grassroots organizing, and managing a high-performing team.
Compensation
The annual salary range for this position is $120,000-$150,000 and will be based on experience.
Responsibilities
Lead the design and implementation of a comprehensive grassroots Organizing Model that grows our base and cultivates an emergent leadership pipeline.
Devise and execute strategies to actively grow our membership base and deepen our long term power in the region.
Align existing programs and campaigns with the organization's overarching model and strategic goals.
Organize and facilitate internal program and staff meetings, and monthly membership meetings.
Manage the content and efficacy of training sessions for organizers and community leaders.
Lead mechanical design and program management for next‑generation AI factory data center facilities, overseeing liquid cooling, chiller plants, heat rejection, and modular construction.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 5; and 216,000 USD – 345,000 USD for Level 6.
Responsibilities
Lead data center product and facility builds, balancing cost, energy efficiency, schedule, and sustainability while integrating new technologies.
Own mechanical systems strategy and development, including liquid cooling, chiller plants, heat rejection, CDUs, and airside/hydronic systems, from concept through construction administration and commissioning.
Deliver design documentation and lead execution across all project phases (SD, DD, CD, CA) for greenfield, leased, and retrofit projects.
Partner with civil/structural, electrical, connectivity, controls, and hardware engineering to align rack-level thermal requirements with facility design, optimized for cost, speed, efficiency, and flexibility.
Drive prefabricated and modular construction strategies and build-to-break-ground schedules to accelerate deployment.
Requirements
Bachelor's degree in Mechanical Engineering
Nice to have: prefabricated and modular construction
Lead expert in data and platform engineering for NVIDIA’s DGX Cloud organization, responsible for building, managing, and operating the DGXC Data Platform.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 248,000 USD – 391,000 USD. You will also be eligible for equity and benefits.
Responsibilities
Define architecture and multiyear technical roadmap
Lead delivery across platform engineers, data producers, and consumers
Build and operate reusable batch and streaming ingestion capabilities
Establish shared identifiers, data contracts, and automated quality capabilities
Guide cataloging, lineage, and governed access
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
Support electrical engineering project work across manufacturing sites, preparing specifications, developing design drawings, reviewing vendor packages, and assisting with construction, checkout, and startup activities.
Compensation
Employees can expect to be paid a salary of approximately between $26.00 to $31.50. Additional compensation may include a bonus or commission (if relevant).
Responsibilities
Prepare project electrical specifications and summaries for front-end design packages
Develop project drawings with the electrical designer for electrical and control layouts, including schematics and installation details
Review electrical and control vendor drawings and ensure alignment with project requirements
Support construction activities and coordination with contractors and site teams
Contribute to electrical instrumentation development and estimates for new projects
Requirements
Bachelor’s degree in Electrical Engineering
Nice to have: minimum 3.0 cumulative GPA on a 4.0 scale
Nice to have: previously completed a Co-Op with Bayer
Nice to have: knowledge of the National Electrical Code (NEC)
The Employment Law Project provides client-centered community-based legal advocacy for low-wage and immigrant workers facing exploitative labor practices, discrimination and harassment.
Compensation
The current annual salary range for this position is between $90,262-96,436.
Responsibilities
Maintain an individual caseload representing clients in State and Federal court proceedings and before administrative agencies on employment law matters.
Develop policy advocacy in collaboration with advocacy coalitions and community organizations to effect larger change rooted in the experiences of our clients.
Work closely with community partners to develop case and advocacy strategies.
Work collaboratively within ELP and across NYLAG to develop holistic advocacy strategies.
Conduct community education and training.
Requirements
Admission to New York State Bar required or pending
Lead architecture and implementation of large-scale OpenStack infrastructure for NVIDIA’s cloud and bare‑metal platforms.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD.
Responsibilities
Own architecture and lead implementation of large-scale OpenStack infrastructure supporting bare-metal provisioning, virtual machines, and engineering workloads spanning several datacenters around the globe.
Architect and implement Infrastructure as Code frameworks to automate provisioning, configuration, and lifecycle management across OpenStack and bare-metal environments.
Build and improve compute control planes, resource scheduling, topology-aware placement, reservations, and capacity management for heterogeneous hardware.
Develop and extend OpenStack services and integrations, including Nova, Neutron, Ironic, Cinder, Keystone, and Placement.
Improve platform scalability, availability, and performance through architectural changes, profiling, failure analysis, and detailed elimination of operational bottlenecks.
Requirements
BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience
NVIDIA builds data and observability systems that help engineers understand and operate large-scale services. We are looking for an intern who enjoys both asking foundational questions and building working systems to answer them.
Compensation
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 94 USD.
Responsibilities
Find, read, and critically assess research papers, technical reports, architecture documents, and industry material on observability and large-scale data systems.
Track the ideas and organizations that may signal meaningful shifts in the field.
Study NVIDIA’s relevant data and observability systems through documentation and conversations with engineers.
Identify how today’s design choices relate to broader changes in storage, compute, query, and telemetry.
Develop an evidence-based view of possible observability pathways, including which trends appear durable, which remain speculative, and what developments would change your assessment.
This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense.
Compensation
The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
Responsibilities
Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.
Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.
Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.
Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.
Translate complex AI and cybersecurity research into actionable, deployable architectures for enterprise and government customers.
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