As a senior test development engineer at NVIDIA, you will join the team responsible for accelerating AI platforms like NeMo microservices and NVIDIA Inference Microservices (NIM), focusing on ensuring quality and reliability in scalable, production-grade deployments. Your day-to-day responsibilities include driving end-to-end testing strategies from design through release, building and maintaining automated test frameworks for containerized AI systems, and providing technical leadership to junior engineers. You will collaborate closely with cross-functional teams to enhance architecture and improve testability, validate large language model (LLM) workflows, and conduct root-cause analysis on defects. Essential skills include strong proficiency in Python, experience with distributed systems and cloud-native platforms, and hands-on knowledge of Linux, Docker, Kubernetes, and CI/CD pipelines. Ideal candidates have a background in software development or quality engineering, with expertise in AI-assisted testing techniques and prior ownership of production-critical services.
Own and drive end-to-end quality from design through production readiness.
Lead test strategy, planning, and execution across various testing types.
Design and maintain automation frameworks for microservice-based AI systems.
Provide technical leadership and mentorship to junior engineers on quality practices.
Validate LLM and AI inference workflows including model lifecycle and deployment configurations.
Drive defect triage, root cause analysis, and ensure systematic issue resolution.
What we're looking for
8+ years of experience in software development or test engineering roles
Strong proficiency in Python and automation frameworks
Experience testing distributed systems, microservices, and cloud-native platforms
Solid understanding of Linux, Docker, Kubernetes, and CI/CD pipelines
Proven technical leadership and mentorship skills for junior engineers
Hands-on experience with AI/ML platform testing and model-as-a-service platforms
Strong debugging skills and ability to analyze complex system failures
Market check
Salary context
This
$168,000–$270,250
range sits above
87%
of similar postings on FindRole.
Peer median band
$117,000–$206,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$139,087–$195,437
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.