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
Build and ship AI systems that power Checkr’s core products, owning ML services end-to-end and integrating LLMs and APIs into production.
Locations (2)
Denver, Colorado, United States
San Francisco, California, United States
Compensation
On-target Earnings OR Base Salary range (San Francisco, CA) $207,000—$244,000 USD On-target Earnings OR Base Salary range (Denver, CO) $176,000—$207,000 USD
Responsibilities
Build and deploy ML/AI services
Design, develop, and ship ML models and AI systems
Write model code, API layer, monitoring, and tests
Partner with product and engineering to translate business problems into ML solutions
Define API contracts with product engineers
Requirements
Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience
Nice to have: MLOps platforms (MLflow, SageMaker, Vertex)
The Worship Coordinator serves as a primary catalyst in leading worship that invites people into the presence of God for services and special events, as well as developing talent and overseeing audio and production.
Responsibilities
Create meaningful service experiences by preparing environments and leading the church in worship
Support the Location Pastor in building a life-giving, vibrant culture at The Life Church - D.C. Metro
Coordinate service elements with Audio, Production and Design Teams
Direct the Worship volunteer teams, including recruitment, spiritual growth, development and care
Identify and raise up worship leaders, vocalists, musicians, and audio technicians
The Shift Leader is responsible for assigning and organizing work to subordinates, monitoring production progress, and ensuring quality standards through ISO and lean production principles.
Responsibilities
assigning and organizing work to their subordinates
control of work efficiency and productivity losses, taking short-term measures
monitoring the progress of individual orders in production
Inspection of materials for production, reallocation of workers if necessary
procurement of technical documentation, initiation of changes in the event of errors in technical documentation
Requirements
Secondary education with a school-leaving certificate in a technical field (mechanical engineering, electrical)
The Machine Operator is responsible for the overall production and operational maintenance of a highly complex converting machine to include but not limited to: set-up, operation, troubleshooting, training, housekeeping and crew maintenance of machines in designated department.
Responsibilities
Troubleshoot and resolve mechanical issues on an assigned machine.
Set-up and operate the assigned machine.
Process material through machine according to company specifications.
Ensure all production data is entered appropriately and accurately in the production software.
Inspect and maintain product quality. Promptly report non-conformances to production management.
Requirements
High school diploma or equivalent required.
Associates degree or technical certificate preferred.
Nice to have: Previous experience in a corrugated manufacturing facility
AI Operations Engineer responsible for owning and improving the AI Gateway, integrating models, managing AI spend, and ensuring secure, efficient AI operations across the company.
Responsibilities
Own the AI Gateway: follow new releases, ship fixes and features, and keep it reliable for the whole company.
Deploy and serve open‑source models, and connect third‑party hosted models through the Gateway when they are too large for our infrastructure.
Aggregate AI spend across our tools, build dashboards on top of the Gateway, and reduce cost through model routing and context compression.
Make our repositories agent‑ready: write and maintain skills and agent instruction files, improve linters and CI guardrails, and add capabilities to our software factory.
Support engineers in using AI tools effectively and improve the AI developer experience.
Requirements
Nice to have: LLM serving (vLLM, Ollama, TGI)
Nice to have: GPU infrastructure sizing
Nice to have: LLM gateways (LiteLLM, Portkey)
Nice to have: usage and cost analytics
Nice to have: frontend development (React, TypeScript)
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