Software Engineer II, AI Apps and Cloud Infrastructure

Brain Corp•San Diego, CA

8d•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. As a member of the Software Engineering team, the Software Engineer II, Apps and Cloud Infrastructure will play a crucial role on our AI team. As a key driver on the team, you will spearhead feature development aimed at massively scaling our AI infrastructure, fine-tuning cloud efficiency, and delivering services that power our next phase of growth.

Requirements

Bachelor’s Degree in Computer Science, Software Engineering or a related field.
2-4 years of demonstrated experience in software development involving XXX
Experience in cloud engineering, with a focus on Google Cloud Platform (GCP).
Familiar with programming languages such as Go, Python, and TypeScript, with a demonstrated ability to write clean, maintainable code and using version control systems like git.
Familiarity with cloud infrastructure and related technologies (compute, storage, networking, etc.) on GCP.
Experience with infrastructure-as-code tools like Pulumi or similar technologies.
Familiar with designing and implementing scalable data engineering workflows and data pipelines.
Familiar with containerization technologies such as Docker and orchestration frameworks like Kubernetes.
Understanding of RESTful APIs and the ability to design and develop them.
Experience leveraging GenAI tools and coding assistants to accelerate development, enhance code quality, and automate routine engineering tasks.
Strong problem-solving and debugging skills, with a proactive and results-oriented approach.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
A passion for robotics, automation and technology.
Ability to multitask and flexibility to adjust to changing priorities.

Nice To Haves

Master’s Degree in Computer Science, Software Engineering or a related field.
Experience with implementing and managing ML inference services at scale.
Experience with robotic software development or working with robotics-related technologies.
Familiar with CI/CD pipelines and related tools (e.g., Jenkins, GitLab CI/CD).
Knowledge of event-driven architectures and messaging systems (e.g., Pub/Sub, Kafka).
Familiarity of Agile methodologies
Knowledge of all phases of the software development lifecycle

Responsibilities

Develop, and maintain scalable and reliable cloud infrastructure on BrainOS Google Cloud Platform (GCP).
Collaborate with the Applied ML team and R&D team to design and implement efficient cloud services, ensuring high data quality and integrity.
Develop APIs and services to facilitate seamless integration between the sense cloud platform and various web and robotic applications.
Work closely with the web and application teams to understand their requirements and provide technical guidance and support.
Participate in testing activities, including unit testing, integration testing, and system testing, to ensure the reliability, performance, and quality of the cloud platform.
Monitor and optimize cost, performance and reliability of the sense cloud platform, identifying and resolving any issues or bottlenecks.
Stay up-to-date with the latest advancements in cloud technologies, sharing knowledge and best practices with the team.
Assist in other duties and responsibilities as assigned.