Sdet ii - ai applications

• Define and own the AI driven testing strategy for autonomy across simulation, hardware, software, and real-world validation
• Develop automated verification pipelines that use AI, data driven analysis, and intelligent test generation to evaluate system performance at scale
• Design tests that expose edge cases, failure modes, rare events, and long tail conditions critical for safe autonomous operation
• Integrate testing workflows with model training pipelines, deployment systems, data infrastructure, and robotics platforms
• Build metrics, dashboards, and evaluation frameworks that measure reliability, robustness, safety, and regression impacts across model updates
• Collaborate with AI researchers, robotics engineers, software developers, and safety teams to ensure testing requirements align with system capabilities and operational constraints
• Use simulation tools, digital twins, and scenario generation to replicate diverse operating conditions and evaluate autonomous behaviors
• Validate AI performance on hardware in the loop, software in the loop, and real-world testing environments
• Develop tools that automate labeling, anomaly detection, and performance triage to accelerate debugging and model improvement
• Identify gaps in test coverage, implement continuous improvements in test methodologies, and maintain high verification standards
• Support release processes by providing structured validation results, go or no-go recommendations, and risk assessments

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• 3-5 years of experience in software testing, validation engineering, machine learning engineering, or autonomous systems development
• Strong understanding of AI behavior, model evaluation, data pipelines, and real time system interactions
• Hands on experience with automated testing frameworks, simulation tools, scenario generation, or hardware in the loop validation
• Ability to design testing architectures that scale across cloud, embedded, and robotics environments
• Experience analyzing metrics, failure cases, regression patterns, and long tail performance challenges
• Ability to collaborate with research, robotics, infrastructure, and product teams to define and execute complex testing plans
• Strong programming skills in languages used for verification and automation such as Python, C++, or similar
• Experience with CI/CD systems, version control, and structured testing workflows
• Strong problem solving and analytical capabilities with a focus on reliability and safety
• Ability to communicate testing results, risks, and recommendations clearly to technical and non-technical stakeholders

Full Benefits - 90% Medical, ESOP, 401K, Generous PTO