Quality Engineer
Engineers in this role focus on testing and validating complex AI software systems across domains like machine learning frameworks, inference platforms, and autonomous systems. They design automated test frameworks, build CI/CD infrastructure, and collaborate with engineering teams to ensure AI products meet stringent quality and performance standards. What distinguishes them is their emphasis on systems-level thinking—they architect scalable testing solutions that handle the unique challenges of AI workloads, from ML model accuracy validation to hardware-software integration testing. These engineers typically sit within larger quality or systems teams in AI-focused companies, working cross-functionally with ML engineers, infrastructure teams, and product owners to accelerate development velocity while maintaining reliability and safety.
Measured across 48 of 51 open postings.
This role is advertised at 2 levels, so a single figure for the role would describe none of them. Experience and pay are the midpoints for each level on its own.
| Level | Share | Median years | Median pay |
|---|---|---|---|
| Mid | 44%(21) | 5 | — |
| Senior | 27%(13) | — | $149k |
A dash means too few postings stated it to report a midpoint. Most companies do not publish a salary band, so pay is indicative rather than a market rate. 3 levels with fewer than 10 open postings are not shown.
“help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites”
“Leverage AI agents and latest technologies for optimal test automation”
“Evaluate frontier model releases and the latest OSS model drops, building the infrastructure and quality signals”
“Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools”
Requirements are a share of every open posting, so a role missing from this list is one where almost nobody asks. Work mode is different: many postings never say, so that figure counts only the ones that do. A posting stops being advertised when it is filled, cancelled or reorganised, so read the last figure as how long these stay on the market, not as time to hire.
Skills
What companies are looking for in this role.
Test automation and quality strategy
Quality management systems
Incident response and reliability
Hardware test and validation
CI/CD and release automation
Technical issue diagnosis
Process design and improvement
Monitoring and observability
ML systems development
Distributed systems architecture
Backend and API engineering
Cloud infrastructure operations
Systems performance optimization
Hardware and embedded systems
Data quality and governance
AI evaluation design
Test automation and instrumentation
AI autonomy safety assurance
AI support automation
Mentoring and code review
Technology
The tools and technologies that define this role.
Open Jobs
51 open Quality Engineer jobs across 21 companies.
Other Engineering roles
General-purpose software engineering roles focused on building and maintaining software systems. Covers generalist SWE positions that don't clearly fall into frontend, backend, fullstack, or other specialized tracks.
Engineers focused on server-side systems, APIs, services, and data processing pipelines. Includes roles explicitly labeled as backend or server-side development.
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Engineers working across the entire application stack, handling both frontend and backend responsibilities.
Engineers building and maintaining internal platforms, cloud infrastructure, compute systems, and developer tooling.