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.
Skills
What companies are looking for in this role.
Designing and implementing automated test frameworks and infrastructure for validating complex software systems
Developing test automation scripts and tooling to execute test sequences at scale
Debugging and troubleshooting software-to-hardware and system integration issues
Designing and executing comprehensive verification and validation strategies for product releases
Building CI/CD pipelines and monitoring test health and infrastructure reliability
Analyzing test data, failures, and system behavior to identify root causes and patterns
Reading and understanding source code and diffs to inform test strategy and improve test coverage
Demonstrating strong software engineering fundamentals and building production-quality systems
Operating infrastructure, tools, and processes at scale with focus on reliability and maintainability
Translating hardware specifications, datasheets, and register maps into executable test code
Developing performance measurement and profiling tools for complex distributed systems
Designing property-based testing, fuzzing, and advanced test methodologies for validation
Executing manual regression testing and device-level validation on physical hardware
Developing tools and algorithms for sensor calibration, characterization, and data analysis
Ensuring compliance with industry standards and regulatory requirements in software development
Designing evaluation systems and metrics for measuring AI model and agent behavior quality
Building feedback loops from production data to inform product and system improvements
Collaborating with cross-functional teams including hardware engineers, software engineers, and product teams
Decomposing complex problems into solvable components and validating hypotheses iteratively
Triaging and investigating production issues and driving improvements through retrospectives
Communicating technical insights, risks, and status to both technical and non-technical stakeholders
Staying informed on emerging research, industry trends, and best practices in AI and testing
Technology
The tools and technologies that define this role.
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61 open Quality Engineer jobs across 20 companies.
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