Originally posted 31 August 2026 by the employer.
Validate and automate testing for NeMo microservices and NVIDIA Inference Microservices (NIM).
About the role
This role leads test development, automation, and technical quality standards for NeMo microservices and NVIDIA Inference Microservices (NIM). You will own end-to-end quality and validation across microservice-based, containerized AI systems and inference workflows.
What you'll do
- Own and drive end-to-end quality from design through release and production readiness across functional, integration, system, performance, and reliability testing. - Design, build, and maintain test frameworks and automation for microservice-based, containerized AI systems. - Validate LLM and AI inference workflows, including model lifecycle, APIs, CLIs, deployment configurations, and scaling scenarios. - Provide technical leadership and mentorship to less senior engineers, guiding test design, automation practices, and quality standards. - Partner with cross-functional teams to influence architecture, improve testability, drive defect triage, and perform root-cause analysis. - Leverage AI-assisted testing techniques to improve test coverage, efficiency, and signal-to-noise in results.
What you'll need
- BS or higher degree in CS, EE, or CE (or equivalent experience). - 8+ years of experience in software development, test development, or quality engineering roles. - Strong proficiency in Python and test automation frameworks. - Experience testing distributed systems, microservices, or cloud-native platforms. - Solid understanding of Linux, Docker, Kubernetes, and CI/CD pipelines. - Strong debugging skills with the ability to reason about complex, system-level failures.
Skills: test development, quality automation, test frameworks, Kubernetes, CI/CD pipelines, AI-assisted testing
This role has been open 200 days — well above the 61-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI ML Hardware
|
Open roles in category
158
|
Median days open
61 d
|
Median salary
$191k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (158 roles · 43 employers) |
|---|---|---|
| Open roles in this specialty | 25 | 158 |
| Open roles in the wider Software, Firmware & Systems family | 981 | 6250 · 144 employers |
| Median days open | 223 d | 61 d (+162 d vs this employer) |
| Median salary (USD postings) | — | $191k |
Skills observed across this category: test development, quality automation, test frameworks, Kubernetes, CI/CD pipelines, AI-assisted testing
Who's hiring in this category
- NVIDIA (this employer) · 26 open roles · median 211 d
- Micron Technology · 25 open roles · median 39 d
- Qualcomm · 21 open roles · median 199 d
- Infineon Technologies · 12 open roles · median 44 d
- AMD · 8 open roles · median 61 d
- Applied Materials · 4 open roles · median 95 d
How we counted: 158 open Software Engineering Semiconductor (AI ML Hardware) roles from 43 employers tracked in the SemiconductorJobs index, counted 25 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.
Similar Jobs
Career Accelerator Program - Software Engineer - Dallas, TX, United States
Texas Instruments · Dallas, TX, United States
Senior Unreal Engine Developer Technology Engineer - California, Folsom, United States
Intel Corporation · Remote friendly (US, California, Folsom, United States)