Senior Software Development Engineer in Test

Brain Corp•San Diego, CA

11h•Onsite

About The Position

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures. Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock thier abilties in orchestration with intelligent machinges. Position Overview: The Senior Software Development Engineer in Test (Sr. SDET) is a software engineer responsible for designing and implementing automated validation systems that ensure the reliability and quality of software applications and services. Working closely with product developers, platform engineers, and quality teams, the Senior SDET builds automation frameworks, validation tools, and testing strategies that support reliable releases across web applications, cloud services, mobile platforms, and supporting data systems. Unlike traditional QA roles, the Senior SDET contributes code alongside development teams and plays a key role in improving testing practices, automation coverage, and CI/CD workflows. This role also provides technical guidance to other engineers and helps drive improvements in quality engineering practices across the team.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent practical experience
5+ years of professional experience developing software, test automation, or validation tooling for production software systems.
Demonstrated ability to design and implement automated testing solutions using Python within Linux-based development environments.
Hands-on experience developing or improving test automation frameworks and validation tooling used to validate application or service behavior.
Strong understanding of software testing methodologies, including designing and implementing unit, integration, and system-level testing strategies.
Practical experience validating web applications, APIs, and distributed services, including identifying integration issues and supporting root cause analysis.
Demonstrated experience integrating automated validation into CI/CD pipelines to support continuous delivery and reliable release workflows.
Proficiency using Git-based version control workflows and collaborating through issue tracking systems such as Jira or similar platforms.
Experience working across the full software development lifecycle within Agile development environments, collaborating closely with developers and product teams.
Strong debugging and analytical skills, including the ability to investigate complex failures and identify root causes in distributed systems.
Excellent communication, collaboration, and technical documentation skills.

Nice To Haves

Hands-on experience developing automated tests using modern web automation frameworks such as Playwright, Cypress, or Selenium.
Practical experience validating cloud-hosted services or applications deployed on AWS, GCP, or Azure.
Working knowledge of containerized development environments, including running applications or automated tests using Docker.
Experience validating data pipelines or data platforms, including validating structured data used by services or analytics workflows.
Experience using observability or monitoring platforms (e.g., logs, metrics, tracing) to troubleshoot failures and analyze system behavior.
Demonstrated use of Generative AI tools to improve development or testing workflows, such as generating test cases, debugging assistance, or documentation.
Experience developing or executing simulation-based validation scenarios in virtual environments to support system-level testing.
Master’s degree in Computer Science, CE, EE.
Experience validating machine learning systems or ML-enabled applications, including model inference services, training data pipelines, or model output validation.
Experience with NVIDIA Isaac Sim or similar robotics simulation platforms.
Experience working in environments that combine cloud services, mobile applications, and data platforms.
Experience in mobile robotics or industrial automation is a plus.
Experience with common sensors used in robotics, including cameras (RGB and Depth), LIDARs, IMUs and Sonars is a plus.

Responsibilities

Design and implement automated testing solutions for web applications, APIs, backend services, and supporting systems.
Develop and maintain test automation frameworks and validation tools using Python in Linux-based environments.
Create automated tests for functional, integration, and regression validation of software systems.
Define and implement testing strategies for features and services within a product area.
Contribute to the improvement of automation frameworks, testing infrastructure, and engineering tooling.
Develop complex simulation scenarios that replicate real-world environments and edge cases to support system validation and regression testing.
Collaborate with engineering teams to integrate simulation-based testing using tools such as NVIDIA Isaac Sim into automated testing workflows.
Integrate automated validation into CI/CD pipelines to support reliable and efficient release processes.
Collaborate with product developers to ensure systems are testable, observable, and reliable.
Participate in architecture discussions and design reviews to ensure new systems can be effectively validated.
Investigate complex test failures, analyze system behavior, and support root cause analysis with engineering teams.
Develop and maintain quality dashboards and reporting tools that provide insight into product health and system reliability.
Help ensure traceability between requirements, implementation, and validation activities.
Collaborate with cross-functional teams to ensure clear requirements, acceptance criteria, and validation strategies.
Document validation approaches, testing strategies, and key findings to support engineering teams and product development.
Apply Generative AI (GenAI) tools to improve software development workflows, test generation, debugging, and engineering productivity.
Contribute to efforts that incorporate GenAI capabilities into development or product features where applicable.
Mentor SDET I and SDET II engineers on automation practices, debugging, and software engineering techniques.
Provide technical guidance to team members and help promote modern quality engineering practices across the team.