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NVIDIA

Designs the chips and software that power AI

Senior Software Engineer - Release Management Platform

Full-Stack EngineeringUpdated on Nov 7
Full-time

About the Job

Requirements

  • A BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience.
  • At least 12 years of hands-on software engineering experience.
  • A track record of leading a complete module or project from design through production.
  • Strong Python backend skills, such as FastAPI, with production experience in PostgreSQL, relational data modeling, ORMs such as SQLAlchemy, and schema migrations.
  • Working knowledge of a modern frontend stack, including React and TypeScript, and comfort with data-heavy user interfaces.
  • A track record of building state machines, workflow or lifecycle systems, or rule-driven validation engines.
  • Hands-on CI/CD experience with Jenkins, GitLab CI, or similar tools; binary artifact repositories; and asynchronous or background job systems such as Celery or Redis.
  • Solid REST API design skills, including versioning, backward compatibility, and interfaces built for automation.
  • Proficiency with Linux, containers, and running stateful production services, including performance tuning, on-call work, and incident response.
  • Ability to lead through influence across partner teams, mentor engineers, and own decisions crucial to a project's success.
  • Clear written and verbal communication and ability to turn ambiguous release and process requirements into precise technical designs.

Responsibilities

  • Own major modules of a full-stack release management platform that defines, validates, and publishes firmware and software releases across multiple hardware platform families; take features from design through production and on-call, and be accountable for key technical decisions.
  • Design and extend a hierarchical domain model and lifecycle engine, including state machines, versioning, cloning and rebasing, and promotion rules that control what ships to customers.
  • Build ingestion and reconciliation pipelines for firmware and software delivered by internal teams and external hardware partners, ensuring artifact metadata, checksums, package mapping, and storage locations are correct before a release is promoted.
  • Own and improve a layered validation and gating model consisting of automated data-integrity checks, CI-driven integration tests, and system-level validation; convert recurring failures into upstream data fixes and clearer per-release reporting.
  • Enforce a strict separation between internal authoring data and sanitized, customer-facing output.
  • Design and maintain versioned REST APIs and machine-readable release manifests used by manufacturing, provisioning, diagnostics, QA, and customer-release pipelines; keep them backward compatible as legacy consumers migrate and enforce standards for SSO/authentication, RBAC, audit logging, and observability.
  • Contribute to a React and TypeScript authoring UI, especially data-heavy tables, bulk edits, diff views, and real-time status updates.
  • Drive onboarding of new hardware platforms and releases, including naming schemes, release-template authoring, validation rules, notifications, and documented handoffs with adjacent engineering teams.
  • Act as technical lead within a regular release-train cadence by writing design documents and ADRs, reviewing merge requests, setting goals for engineers working on the module, and mentoring junior engineers.
  • Partner with program managers, release managers, firmware, diagnostics, and manufacturing teams to align on roadmaps, capacity, cross-team interfaces, and operational ownership.
  • Improve reliability through safe schema migrations, incident triage, runbooks, support rotations, and movement toward higher availability using Kubernetes, database failover, and cache/queue high availability.
  • Build production-quality Python services using FastAPI, SQLAlchemy, Alembic, and PostgreSQL, and asynchronous workflows using Celery and Redis, focusing on performance through caching, query and worker tuning, and data integrity; use AI-assisted engineering tools with normal review.

Desired Qualifications

  • Experience architecting large-scale release engineering or configuration management platforms.
  • Background in event-driven architectures, microservices, or workflow orchestration engines; familiarity with regulated environments, audit trails, and sanitized customer-facing exports.
  • Knowledge of hardware/firmware release flows and board/SKU management.
  • Expertise integrating AI-assisted authoring, structured data extraction, or natural-language interfaces into engineering tools.
  • Knowledge of server firmware and update packaging, including BMC/BIOS, industry-standard firmware package formats, and firmware update flows; experience integrating external hardware-partner deliveries into an internal release or validation process.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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