About the role
What will you do at Brain Corp?
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
their abilities in orchestration with intelligent machines.
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.
Essential Job Functions:
Automation Development & Test Engineering
* 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
Simulation-Based Validation
* 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
CI/CD & Engineering Workflow Integration
* 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
Quality Insights & Reporting
* 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
Engineering Documentation & Collaboration
* 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
AI-Assisted Development & Testing
* 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
Technical Leadership & Mentorship
* 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
Education and/or Work Experience
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
- Preferred Experience:
- * 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
- Things that make a difference:
- * 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
- Physical Demands:
- The physical demands described here are representative of those that must be met
- by an employee to successfully perform the essential functions of this job.
- Reasonable accommodations may be made to enable individuals with disabilities to
- perform the essential functions. The physical activity of this position
- includes, kneeling; reaching; pushing; pulling; sitting, standing and walking
- for periods of time; using hands to finger and grasp; repetitive motion; talking
- and hearing. close visual acuity to prepare and analyze data and figures;
- transcribing; viewing a computer terminal; extensive reading; visual inspection
- involving small defects, small parts, and/or operation of machines; use of
- measurement devices; and/or assembly or fabrication parts at distances close to
- the eyes; push or pull up to 20 pounds.
- Work Environment:
- The work environment characteristics described here are representative of those
- an employee encounters while performing the essential functions of this job. The
- noise level in the work environment is usually quiet to moderate. Employees are
- exposed to the typical office environment with computers, printers and
- telephones.
- SALARY RANGE:
- The anticipated salary range for candidates who will work in San Diego,
- California is $111,449 to $136,215.The final salary offered to a successful
- candidate will be dependent on several factors that may include but are not
- limited to the type and length of experience within the job, type and length of
- experience within the industry, education, etc. Brain Corp is a multi-state
- employer and this salary range may not reflect positions that work in other
- states.
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