Build and operate the integrations that connect an AI-powered supply chain platform with customers' business systems. You will own data flows from scoping through production, helping ensure that information and automated decisions move reliably between systems.
Build and maintain integrations with ERP systems, cloud data warehouses, object storage, and custom data sources.
Design reliable, near-real-time syncs that process large customer datasets with minimal manual intervention.
Investigate third-party APIs and develop resilient connectors that account for their limitations and undocumented behavior.
Create round-trip tests for read, update, and write workflows to prevent data loss.
Validate and reconcile data early, and build monitoring and alerting to detect and triage failures.
Work directly with customers and their IT teams to scope, deliver, and operate integrations.
Develop the integration layer so new data sources can be added through configuration where possible.
At least 3 years of production experience building Python data pipelines and integrations.
Hands-on experience with Python, FastAPI, SQLAlchemy, and Pydantic.
Deep experience integrating third-party systems through REST, SOAP, and query-language APIs, including OAuth, credential management, pagination, and rate limits.
Advanced SQL skills, including high-performance queries and bulk upserts at scale.
Experience designing idempotent, auditable pipelines and safe write paths with dry runs and failure capture.
Experience with structured logging, sync tracking, alerting, and failure attribution.
Experience with Snowflake, Databricks, or BigQuery, and a background task orchestration framework such as Temporal or similar.
Familiarity with ERP integrations; NetSuite, AWS, FTP, S3, or unstructured data ingestion experience is a plus.
Visa sponsorship is available.
On-site in New York, United States.
NVIDIA is seeking a Senior Systems Software Engineer to build and manage large-scale infrastructure platform services, focusing on automation and reliability.
Design and optimize deep learning compiler infrastructure that translates neural network models into efficient code for a custom edge AI processor, improving performance, latency, and memory use.
The Sr. Project Engineer will lead technical onboarding and implementation for clients, ensuring successful delivery of infrastructure, cloud, and cybersecurity projects while mentoring other engineers.
Design, configure, test, commission, and support ISA-88 batch control systems for manufacturing clients, translating process requirements into reliable automation solutions and guiding project delivery and technical teams.
NVIDIA is seeking a Senior Software Engineer to design and scale infrastructure for Electronic Design Automation (EDA) workloads, focusing on automation and reliability.
