Software Engineer I, SW Applications
Brain Corp
| Company | Brain Corp |
| Category | Engineering |
| Location | San Diego |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 1 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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:
As a member of the Software Engineering Team, the Software Engineer I will contribute to the development of core software systems powering Brain Corp’s autonomous mobile robots (AMRs). This role spans work across the Hardware Abstraction Layer (HAL), telemetry systems, and robotics applications. The Software Engineer I will work closely with experienced engineers to build, test, and maintain software that interfaces with sensors, supports data collection and observability, and enables reliable robot operation. This is a hands-on, entry-level role ideal for engineers looking to grow their skills in robotics, embedded systems, and high-performance software.
Essential Job Functions:
Contribute to the development and maintenance of software components across HAL, telemetry, and robotics applications under guidance from senior engineers.
Assist in integrating and validating hardware components such as LiDARs, cameras, and IMUs.
Support development of telemetry, logging, and data collection systems to improve system observability and debugging.
Help implement and maintain middleware components enabling communication between sensors, compute, and higher-level systems.
Write clean, maintainable, and efficient code in C++ and/or Python following team best practices.
Assist in debugging and troubleshooting issues across hardware-software boundaries in robotics systems.
Contribute to unit tests, integration tests, and validation efforts to ensure software quality and reliability.
Support performance analysis and optimization efforts (e.g., CPU, memory, latency) under guidance.
Collaborate with cross-functional teams including hardware, autonomy, QA, and cloud to support system integration and testing.
Document code, tools, and processes to support team knowledge sharing and maintainability.
Education and/or Work Experience Requirements:
Bachelor’s Degree in Computer Science, Software Engineering, Robotics or a related field
0-2 years of demonstrated experience in software development for complex function-based software
Required Knowledge, Skills, Abilities, and Other Characteristics:
Proficiency in Python and C++ (C++11 or later)
Familiarity with Linux-based development environments (e.g., Ubuntu)
Foundational understanding of data structures, algorithms, and software engineering principles
Familiarity in robotics, embedded systems, or hardware-software integration
Familiarity with version control systems such as Git
Strong problem-solving and debugging skills
Ability to work collaboratively in a team environment and take direction from more senior engineers
Good written and verbal communication skills
Things That Make a Difference:
Master’s Degree in Computer Science, Software Engineering, or a related field
Internship or academic experience in robotics, embedded systems, or low-level software
Exposure to hardware abstraction layers, middleware, or telemetry/logging systems
Experience working with sensors such as cameras, IMUs, or
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