Software Development Engineer in Test II

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.

Position Overview:

The Software Development Engineer in Test II (SDET II) is a software engineer

who focuses on building and improving the automated systems used to validate

modern software applications and services. Working closely with product

developers, the SDET II develops test automation, validation tooling, and

quality insights that help ensure reliable releases across web applications,

cloud services, mobile platforms, and supporting data systems. Unlike

traditional QA roles, the SDET II contributes code, automation, and tooling

alongside development teams, helping ensure that systems are testable,

observable, and scalable throughout the software development lifecycle. This

role is expected to contribute directly to engineering work while collaborating

with product, development, and quality teams to deliver high-quality software.

Essential Job Functions:

Automation Development & Test Engineering

* Develop and maintain automated tests and validation tools to verify the

functionality and reliability of software applications and services

* Write and maintain automation code in Python within Linux-based environments,

contributing to shared test frameworks and validation tools

* Implement automated tests for web applications, APIs, and backend services

using modern testing frameworks

* Design and execute validation plans and test strategies that balance

automation and exploratory testing

* Contribute to the evaluation and adoption of modern engineering tools and

practices that improve testing efficiency and product quality

Simulation-Based Validation

* Develop and maintain automated simulation-based tests using tools such as

NVIDIA Isaac Sim to validate software behavior in realistic virtual

environments

* Create simulation scenarios that support validation of system functionality

and help reproduce complex edge cases

CI/CD & Engineering Workflow Integration

* Contribute to continuous integration and continuous delivery (CI/CD)

pipelines by integrating automated tests and validation steps

* Participate in code reviews and design discussions to help ensure systems are

testable and maintainable

* Work with product owners and engineers to define testable requirements and

acceptance criteria

Quality Insights & Reporting

* Assist in building and maintaining quality dashboards and reporting tools

that provide insight into system health and test coverage

* Analyze test results and communicate findings to development teams to support

timely issue resolution

* Ensure traceability between requirements, implementation, and validation

activities

Engineering Documentation & Collaboration

* Write and maintain documentation for test plans, validation approaches, and

test results

* Collaborate with development and product teams to ensure clear validation

strategies and reliable feature delivery

AI-Assisted Development & Testing

* Apply Generative AI (GenAI) tools and techniques to assist with software

development, test generation, debugging, and documentation workflows

* Contribute to efforts that integrate GenAI capabilities into development or

product workflows, including experimentation with AI-assisted automation and

validation

Education and/or Work Experience

Requirements

• * Bachelor’s degree in Computer Science, Computer Engineering, Electrical
• Engineering, or equivalent practical experience
• * 2+ years of professional experience developing software, test automation, or
• validation tooling for production software systems
• * Demonstrated ability to write and maintain automation code in Python,
• including developing automated tests or validation utilities in Linux-based
• environments
• * Hands-on experience implementing automated tests for web applications, APIs,
• or backend services using modern testing frameworks
• * Practical understanding of software testing methodologies, including unit,
• integration, and system-level testing
• * Demonstrated experience contributing automated tests to CI/CD pipelines and
• participating in automated build and test workflows
• * Working knowledge of RESTful APIs and service-based architectures, with the
• ability to validate service interactions and troubleshoot failures
• * Experience working within the full software development lifecycle in Agile
• environments, collaborating with developers and product teams
• * Strong debugging and analytical skills, including the ability to investigate
• failing tests and support root cause analysis
• * Excellent communication, collaboration, and technical documentation skills
• * Demonstrated use of Generative AI tools to assist software development or
• testing workflows, such as generating test cases, debugging assistance, or
• documentation

Preferred Qualifications

• * Hands-on experience developing automated tests using modern web testing
• frameworks such as Playwright, Cypress, or Selenium
• * Working knowledge of containerized development environments (e.g., Docker)
• and their role in local development or CI workflows
• * Hands-on experience with data processing pipelines or data validation
• workflows, including validating structured data used by applications or
• services
• * Exposure to developing or executing simulation-based test scenarios in
• virtual environments to validate system behavior
• 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 and

Benefits

The anticipated salary range for candidates who will work in San Diego,

California is $49.40/hr. - $57.21/hr. 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.

In addition to base pay, our competitive total rewards package consists of:

* A discretionary annual target bonus

* Stock options

* 401(k) plan with match (no waiting period and immediate vesting)

* Comprehensive suite of insurance benefits for employees (and their families)

to include a variety of medical plan options (including an HSA with employer

contribution), dental, vision, life and disability insurance, Employee

Assistance Program (EAP), Legal/Identity support plans, pet insurance

* Access to Flexible Spending Accounts (Medical and Dependent Care)

* Generous paid time off including accrued vacation, Paid Sick Leave, time off

for volunteering in the community, 10 paid company holidays, and a winter

company shutdown

Additional Perks include:

* Daily on-site lunch available in the San Diego office

* On-campus gym including pool and tennis courts in the San Diego office

* Opportunities to connect with colleagues including monthly game nights,

hikes, wellness challenges, and community events

* Internal continuous learning events

* Opportunities to share your own interests and hobbies with the Company