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:

As a member of the Software Engineering team, theSoftware 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.

Essential Job Functions:

• 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.

Required Education and Work Experience:

• Bachelor’s Degree in Computer Science, Software Engineering or a related field.
• 2-4 years of demonstrated experience in software development.
• Experience in cloud engineering, with a focus on Google Cloud Platform (GCP).

Required Knowledge, Skills, Abilities and Other Characteristics

• 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.

Things that make a difference:

• 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

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. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; 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 for candidates who will work in San Diego, California is $130,000. 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.

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.

This role can be remote anywhere in the United States or hybrid in our San Diego office

Position Overview: 

The Principal Software Engineer, Cloud serves as the senior-most technical leader for the entire Cloud Platform team, responsible for defining the architectural direction, technical strategy, and engineering standards across all cloud systems supporting our commercial robotics products. This leader will own the overarching technical vision for the platforms that power robot connectivity, fleet operations, remote management, customer-facing services, internal developer platforms, and large-scale data infrastructure.

In this role, you will help shape and scale the cloud infrastructure behind one of the world’s largest commercial autonomous robotic fleets, delivering cutting-edge solutions that operate in real-world environments at significant scale. You will work at the forefront of robotics, distributed systems, cloud-native platforms, and emerging technologies (including modern AI and GenAI-enabled development tools) to drive innovation, operational excellence, and competitive advantage.

This role requires deep technical expertise, strategic thinking, and broad organizational influence to ensure cloud investments align with product strategy, technological advancement, and long-term business growth. It offers the opportunity to solve highly complex challenges in robotics and cloud infrastructure while shaping the future of automation through industry-leading technology.

Essential Job Functions:

• Define and lead the long-term technical vision, strategy, and architectural roadmap for the entire Cloud Platform
• Serve as the primary technical authority across all cloud engineering domains, including fleet management, robot-cloud communication, data platforms, developer infrastructure, and customer systems
• Drive cross-team technical alignment, ensuring consistency in architecture, tooling, reliability, security, and operational practices
• Establish engineering standards, design principles, and platform governance processes across Cloud Platform
• Lead major architectural initiatives involving scalability, resilience, observability, security, and developer productivity
• Partner with engineering directors, product leadership, and executives to align technical strategy with business priorities
• Identify and proactively resolve systemic architectural challenges, technical debt, and organizational bottlenecks
• Guide the design and implementation of complex distributed systems supporting robotics products at global scale
• Champion and actively drive adoption of GenAI-based tools and workflows across the Cloud Platform organization, embedding them into engineering practices to improve developer productivity, system design, debugging, and operational efficiency
• Act as a hands-on technical leader in evolving how the organization builds software, including evaluating, standardizing, and scaling GenAI-assisted engineering practices
• Mentor engineers, acting as the technical leadership backbone of the organization
• Lead architecture reviews, technical planning, and critical design decisions across multiple teams
• Serve as the highest technical escalation point for complex platform, reliability, and production issues
• Champion security-first architecture and operational excellence across all cloud systems
• Evaluate emerging technologies and industry best practices to continuously evolve platform capabilities
• Drive a culture of technical excellence, innovation, accountability, and continuous learning throughout the organization

Education and/or Work Experience Requirements: 

• Bachelor’s degree in Computer Science, Software Engineering, or related technical field
• 12+ years of progressive experience in software engineering, cloud architecture, and large-scale distributed systems
• Proven success leading technical strategy across multiple cloud engineering teams or large organizations
• Significant experience architecting and operating enterprise-scale cloud platforms on Google Cloud Platform (GCP)
• Prior experience in Principal Engineer, Architect, or equivalent high-level technical leadership role

Required Knowledge, Skills, Abilities and Other Characteristics: 

• Expert-level software engineering skills in Go and Python
• Deep expertise in cloud-native architecture, distributed systems, and platform engineering at organizational scale
• Extensive knowledge of GCP services, including networking, storage, IAM, observability, security, and infrastructure automation
• Advanced experience with Kubernetes, Docker, container orchestration, and platform operations
• Strong expertise in infrastructure-as-code tools such as Terraform, Pulumi, or similar technologies
• Proven ability to architect and scale highly available, secure, and resilient cloud systems
• Deep understanding of APIs, microservices, event-driven systems, and messaging technologies such as Pub/Sub or Kafka
• Strong Linux systems expertise, including networking, security, systems operations, and troubleshooting
• Exceptional strategic thinking and technical decision-making abilities
• Excellent leadership, communication, and cross-functional collaboration skills
• Demonstrated ability to influence technical direction across organizational boundaries
• Strong mentoring capabilities for senior engineers and technical leaders
• Demonstrated ability to build and lead teams using GenAI tooling and workflows, fostering a culture of GenAI adoption across the software development lifecycle (e.g., coding, debugging, testing, documentation) to improve engineering velocity, quality, and scalability while maintaining strong engineering rigor

Things that Make a Difference: 

• Master’s degree or PhD in Computer Science, Software Engineering, or related discipline
• Experience in robotics, IoT, autonomous systems, or large-scale edge-to-cloud ecosystems
• Experience leading cloud platforms supporting physical products or commercial robotics fleets
• Expertise in CI/CD systems, release engineering, and developer platform tooling
• Experience with Bazel build systems and large-scale build/test infrastructure optimization
• Familiarity with enterprise security, compliance, and regulated environments
• Experience building or leading platform organizations through periods of rapid scale
• Strong background in software lifecycle management, Agile methodologies, and engineering organizational design

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. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; 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 $180,070 to $230,090. 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 flexible 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

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 Customer Engineering team, the Software Engineer will be working on pilots of a newly launched product and will help to solve complex problems in the retail automation space. The performance of our detections and recognitions is foundation to the value we deliver to our customers. As a core member of our engineering team, you will work with our world-class team of engineers and scientists to build and apply the BrainOS platform for the next generation of intelligent machines.  Your experience will be pivotal in advancing our mission of making the real world work better.

Essential Job Functions:

• Build and review performance metrics and dashboards of the production and/or pilot fleet as a key indicator of customer experience, and product performance
• Analyze trends and identify recommendations in product performance for improvements in our model training pipeline and operations
• Develop code and deliver software features/functionality that increases customer value and product scalability
• Increase the agility/ software release frequency of the team and organization through code refactoring, simplification, and removal
• Coordinate with cross-functional areas of expertise including hardware, firmware, platform, user experience, quality, cloud, autonomy and Applied ML engineering to deliver world-class customer value
• Remain up to date with developments across platform, AI, autonomy, navigation, and other robots, in order to leverage and contribute towards software innovation across all products

Education and/or Work Experience Requirements:

• Bachelor’s degree in computer science, software engineering, or a related field
• 0-2 years of demonstrated experience in software development 

Required Knowledge, Skills, Abilities, and Other Characteristics:

• Experience writing C++ (11+) and/or Python applications for embedded systems
• Experience building and evaluating computer vision models for object detection and recognition
• Solid understanding of design patterns, data structures, and advanced programming techniques
• Excellent verbal and written communication skills in a multiple internal and external stakeholder environment
• Strong analytical skills that enable data-driven decisions and prioritization
• Experience with soft real-time and multi-threaded systems

Things that Make a Difference:

• Experience designing and developing robotic systems using robotics frameworks, including ROS, and existing libraries and tools
• Experience with path planning, AI algorithms, navigation algorithms, or robot behavior systems
• Experience with continuous integration, deployment and release management tools
• Experience with Agile and Scrum methodology
• Desire to constantly learn, receive and act on feedback, and share knowledge

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. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; talk and hear at normal room levels; using hands to finger, grasp, and feel; repetitive motion; close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; lift, push, carry, 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 and Benefits:

The anticipated salary for candidates who will work in San Diego, California is $123,000. 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 flexible 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

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 Sr Staff Software Engineer - Cloud (Technical Lead Manager) is a key contributor within Brain Corp’s engineering organization leading the design and development of large-scale, high-availability systems powering Brain Corp’s cloud platform. This platform connects our global fleet of autonomous robots, manages data ingestion from the field, and supports advanced machine learning pipelines for perception, analytics, and operational insights. This dual role will serve as both a technical leader and people manager, guiding a team of cloud engineers while contributing hands-on to the architecture, design, and implementation of next-generation cloud services. The engineer will work closely with ML engineers, data scientists, and infrastructure teams to build scalable cloud-based machine learning systems that handle massive volumes of image data and deliver efficient inference at scale.

This role can be remote anywhere in the United States or hybrid at our office in San Diego. Relocation is available.

Essential Job Functions:

• Lead and manage a team of cloud software engineers, providing technical mentorship, career guidance, and performance management
• Define and execute the cloud technical roadmap, ensuring alignment with Brain Corp’s business and product goals
• Architect and implement high-availability, scalable, and secure systems on Google Cloud Platform (GCP) to support machine learning workloads and data ingestion at scale
• Design, build, and operate ML pipelines that process hundreds of thousands of images daily, enabling rapid model iteration and deployment
• Develop and optimize GPU resource management strategies, improving model serving throughput, latency, and cost efficiency
• Build canary and staging environments to ensure safe, progressive deployments and system resilience
• Collaborate cross-functionally with ML, DevOps, and robotics teams to define APIs, data models, and operational workflows for cloud–robot communication
• Implement Infrastructure-as-Code (IaC) solutions using Pulumi, Terraform, or equivalent, ensuring repeatable and automated deployments
• Establish and maintain cloud observability systems, ensuring reliability, performance, and security compliance
• Drive technical excellence, setting coding standards, reviewing designs, and promoting best practices in distributed systems and cloud ML architectures
• Stay current with advancements in GCP, ML infrastructure, and MLOps to continuously improve platform capabilities and team practices

Education and/or Work Experience Requirements: 

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• 10+ years of professional software engineering experience, including 3+ years in cloud architecture or large-scale distributed systems
• 3+ years of technical leadership or management experience, preferably in a Technical Lead Manager or team lead capacity
• Proven experience designing and operating GCP-based ML systems at scale

Required Knowledge, Skills, Abilities and Other Characteristics: 

• Expert-level knowledge of Google Cloud Platform (GCP) services such as GKE, Dataflow, BigQuery, Cloud Run, Pub/Sub, Vertex AI, and Cloud Storage
• Strong proficiency in Go, Python, or TypeScript, with an emphasis on maintainable, production-quality code
• Deep understanding of machine learning pipelines: data ingestion, preprocessing, training, deployment, and inference
• Experience optimizing GPU workloads, autoscaling, and resource scheduling in cloud environments
• Proven success in designing high-availability and fault-tolerant distributed systems
• Hands-on experience with containerization and orchestration technologies (Docker, Kubernetes)
• Familiarity with infrastructure-as-code tools (Pulumi, Terraform) and CI/CD systems (e.g., Jenkins, GitHub Actions)
• Strong understanding of security, networking, and observability in cloud environments
• Excellent problem-solving, communication, and leadership skills
• Ability to balance hands-on technical work with people management responsibilities
• Passion for robotics, automation, and enabling intelligence at scale

Things that Make a Difference: 

• Experience in robotics data pipelines, fleet management, or IoT-scale data ingestion
• Experience self-hosing ML inference
• Hands-on experience with Vertex AI, Kubeflow, or TensorFlow Serving in production
• Background in event-driven architectures and message streaming (e.g., Pub/Sub, Kafka)
• Experience with SOC2/ISO27001-compliant systems and secure cloud practices
• Familiarity with Agile methodologies and modern DevOps culture

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. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; 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 $160,603 - $205,215. 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.

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 flexible 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

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: 

As a Senior Autonomy Engineer on our R&D team, you'll help define the next generation of software that lets robots perceive, learn, and act in unstructured indoor environments. You'll work across the modern autonomy stack — from learned perception and prediction to mapping and motion planning — and ship capabilities that generalize across our fleet. We're looking for someone equally comfortable reading a fresh arXiv paper, writing production C++/Python, and debugging behavior on a real robot in the lab. You'll help set technical direction, raise the bar on engineering quality, and mentor others on the team.

Essential Job Functions:

• Design, train, and deploy machine learning systems for perception, SLAM, prediction, and motion planning that enable safe navigation around people and obstacles.
• Build and improve learned components — including transformer-based perception, vision-language models for scene understanding, diffusion or imitation-learning policies, and neural/Gaussian-splatting approaches to mapping — and integrate them with classical estimation and planning where it makes sense.
• Translate state-of-the-art research (papers, open-source releases, conference talks) into production-quality implementations on the robot.
• Develop data engines and evaluation infrastructure that turn fleet logs into training data, regression tests, and shipped improvements.
• Own features end-to-end: from prototype, through sim and on-robot validation, to fleet rollout, with measurement of real-world impact.
• Improve runtime performance of perception, mapping, and planning on embedded GPU/accelerator hardware (quantization, distillation, kernel work where warranted).
• Contribute to internal frameworks, simulation tooling, and developer experience that compound team velocity.
• Provide guidance and mentorship to engineers across robotics, ML, and the software systems that support them.

Education and/or Work Experience Requirements:

• Master’s Degree. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field — or equivalent demonstrated experience.
• 5+ years of relevant industry or research experience building autonomy, perception, or ML systems 
• Strong fluency in Python and C++ in a Linux environment.
• Demonstrated track record of taking research ideas and papers into deployed implementations.
• Depth in one or more of: machine learning (supervised, self-supervised, imitation, RL), SLAM and state estimation, motion planning, or 3D perception.

Required Knowledge, Skills, Abilities, and Other Characteristics:

• Hands-on experience with PyTorch (and/or JAX), modern training pipelines, and contemporary architectures (transformers, diffusion models, vision-language-action models).
• Experience designing robotic systems with ROS 2 (or comparable middleware) and contemporary simulation tools such as Isaac Sim, MuJoCo, or Gazebo.
• Comfort with the full ML lifecycle: data curation and labeling strategy, large-scale training, offline and online evaluation, and continuous deployment to production hardware.
• Solid systems and software architecture instincts; pragmatism about when a learned approach beats a classical one and vice versa.
• Familiarity with modern engineering practices: CI/CD, code review, observability, and iterative delivery (i.e. Agile, Scrum).
• Bonus: Contributions to open-source robotics or ML projects, publications at top venues (CoRL, RSS, ICRA, NeurIPS, CVPR, ICML), or experience with on-device acceleration (TensorRT, ONNX, custom CUDA kernels).

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. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; talk and hear at normal room levels; using hands to finger, grasp, and feel; repetitive motion; close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; lift, push, carry, 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 $151,545 to $183,449. 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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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:

As a Staff Autonomy Engineer on our R&D team, you'll be one of the technical leaders setting direction for the AI that powers our robots. This is a hands-on technical leadership role: you'll architect systems that span perception, mapping, prediction, and planning; drive multi-quarter initiatives from research idea to fleet rollout; and raise the technical bar across the org. You'll work across team boundaries, partnering with engineering managers, product, and hardware to make decisions that ripple through the roadmap. You'll also be someone the team learns from — through code review, design review, mentorship, and the standards you set in your own work. We expect Staff engineers to be comfortable in deep technical waters across the modern autonomy stack: foundation models, learned policies, classical estimation and planning, and the production systems that knit them together.

Essential Job Functions:

Technical Leadership and Direction

• Set technical direction for major areas of the autonomy stack — perception, SLAM, prediction, planning, or the ML systems underneath them — and own the multi-quarter roadmaps that follow.
• Lead large, ambiguous projects end-to-end: scope the problem, pick the approach, drive execution across multiple engineers, and ship to the fleet.
• Make and defend the build-vs-borrow, learn-vs-classical, and depth-vs-breadth decisions that shape what the team works on for the next year.
• Partner with engineering managers, product, and hardware on staffing, sequencing, and risk; serve as a senior technical voice in cross-functional planning.
• Represent the team externally where useful — publications, conferences, recruiting, customer technical conversations.

Technical Excellence

• Architect and contribute to systems spanning learned perception (transformer-based detectors, VLMs for scene understanding), neural and classical SLAM (including Gaussian splatting and implicit representations where they earn their keep), behavior prediction, and motion planning.
• Drive adoption of modern learning approaches — imitation learning, diffusion policies, vision-language-action models, RL where appropriate — and integrate them with the classical components that still do real work in production.
• Build and improve the data engines and evaluation infrastructure that turn fleet logs into training data, regression suites, and shipped wins.
• Lead performance and deployment work on embedded compute: model optimization, quantization, distillation, and runtime engineering on GPU/accelerator hardware.
• Stay current with the literature and translate the parts that matter into our codebase — and recognize the larger fraction that doesn't.

Mentorship, Hiring, and Culture

• Mentor Senior and mid-level engineers; raise the bar through design review, code review, and the technical standards you model.
• Play a leading role in hiring: shape interview loops, calibrate decisions, close strong candidates, and own onboarding for new hires on the team.
• Champion engineering practices that compound — testing, observability, documentation, simulation infrastructure, developer tooling — and invest in the parts of the org that enable everyone else to ship faster.

Education and/or Work Experience Requirements:

• Master’s Degree. or Ph.D. in Computer Science, Robotics, Electrical Engineering, or a related field — or equivalent demonstrated experience.
• 7+ years of industry experience in embodied AI (robotics, self-driving, drones, or similar), with at least some of that time in a senior or lead capacity.
• Deep expertise in two or more of: machine learning, SLAM and state estimation, robotic perception, motion planning.
• Strong fluency in C++ and Python in a Linux environment.
• Demonstrated history of taking research ideas into production at meaningful scale.

Required Knowledge, Skills, Abilities, and Other Characteristics:

• Deep, hands-on expertise with PyTorch (and/or JAX), modern training infrastructure, and contemporary architectures (transformers, diffusion models, VLA/foundation models).
• Extensive experience designing robotic systems with ROS 2 (or comparable middleware) and modern simulation environments such as Isaac Sim, MuJoCo, or Gazebo.
• Strong record of shipping ML-driven features to production hardware — including the post-launch reality of monitoring, debugging weird failure modes, rollback, and on-call.
• Excellent systems and architectural judgment; able to defend a position and equally able to update it when the evidence changes.
• Modern software engineering fundamentals: CI/CD, code review culture, observability, and iterative delivery.
• Excellent written and verbal communication — design docs that set direction, talks that bring people along, and code that other engineers want to read.
• Bonus: experience with on-device acceleration (TensorRT, ONNX, custom CUDA kernels), large-scale data infra, or leading distributed teams.
• Bonus:Track record of research impact (publications at venues like CoRL, RSS, ICRA, NeurIPS, CVPR, ICML — or open-source equivalents) and of converting research into product.

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. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; talk and hear at normal room levels; using hands to finger, grasp, and feel; repetitive motion; close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; lift, push, carry, 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 $169,525 to $205,215. 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.

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 flexible 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

Position Overview:

The Staff Software Engineer is a key technical leader within Brain Corp’s Platform team, responsible for the architecture, evolution, and performance of core software systems powering our autonomous mobile robots (AMRs). This includes ownership of the Hardware Abstraction Layer (HAL), telemetry systems, and core C++ middleware.This role is highly hands-on and strategic, driving the re-architecture of foundational robotics software to improve modularity, scalability, and performance. The engineer will lead technical direction across HAL and middleware layers, enabling efficient sensor integration, new hardware bring-up, and high-performance execution on embedded systems. Working cross-functionally with hardware, autonomy and applications teams, this role will ensure that our robotics platform supports rapid innovation, robust field performance, and scalable deployment across a global fleet.

Essential Job Functions:

• Lead the technical direction and architecture of the Hardware Abstraction Layer (HAL), ensuring modularity, scalability, and long-term maintainability
• Drive the migration and re-architecture of HAL to support next-generation robotics platforms and evolving hardware requirements
• Own the design and evolution of the robotics telemetry and replay systems, improving observability, reliability, and data quality
• Lead the migration of middleware components from Python to high-performance C++ implementations
• Architect and develop robust C++ middleware enabling efficient communication between sensors, compute, and autonomy systems
• Integrate and bring up new hardware components, including sensors such as LiDARs, cameras, and IMUs
• Optimize system performance across the robotics stack, including latency, throughput, memory usage, and CPU efficiency
• Collaborate closely with hardware, apps, autonomy, and QA teams to ensure seamless system integration and deployment
• Establish and enforce best practices in software design, code quality, testing, and documentation
• Provide technical mentorship and leadership to engineers, guiding design reviews and complex debugging efforts
• Contribute hands-on code to critical components while balancing long-term architectural improvements
• Drive continuous improvement of development workflows, testing strategies, and system reliability

Education and/or Work Experience Requirements: 

• Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Robotics, or a related technical field
• 7+ years of professional software engineering experience
• Proven experience working on robotics systems, embedded platforms, or hardware abstraction layers (HAL)
• Demonstrated experience leading complex technical initiatives or driving architectural changes in production systems

Required Knowledge, Skills, Abilities and Other Characteristics: 

• Expert-level proficiency in modern C++ (C++11 or later), including multithreading, memory management, and performance optimization
• Strong Python skills for scripting, tooling, and system integration
• Deep understanding of hardware abstraction layers and low-level system design
• Hands-on experience integrating sensors such as LiDARs, cameras, and IMUs into production systems
• Strong experience with Linux-based development environments (e.g., Ubuntu)
• Experience designing and developing middleware systems or inter-process communication frameworks
• Familiarity with communication protocols such as MQTT, or similar paradigms
• Experience with build systems (e.g., CMake) and unit testing frameworks (e.g., Google Test)
• Proven ability to design scalable, maintainable, and modular system architectures
• Strong debugging and troubleshooting skills in complex robotics or embedded environments
• Experience with system performance profiling and optimization (CPU, memory, latency, throughput)
• Proficiency with version control systems such as Git
• Excellent communication skills and ability to provide technical leadership and mentorship without direct management responsibility

Things that Make a Difference: 

• Experience with Autonomous Mobile Robots (AMRs) or similar robotic systems
• Prior experience leading or contributing to large-scale system re-architecture or migration efforts
• Experience designing or improving telemetry and observability systems
• Familiarity with custom middleware architectures (non-ROS environments)
• Background in real-time or near-real-time systems
• Experience working at the intersection of hardware and software integration
• Passion for robotics, automation, and building high-performance, scalable systems

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. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $143,569  to $183,449. 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 flexible 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

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 Staff Software Engineer plays a key role for the Software Engineering Applications team, leading the development for our in-house robot software applications. With a strong technical acumen and an excellent background in Python and C++ development, you will help lead a team of committed engineers to build interfaces and workflows, integrate state-of-the-art autonomy features, and deploy robust, safe, and scalable software application solutions for our next generation of products. You will identify performance bottlenecks, coordinate with cross-functional teams on simulation and control, and prioritize projects and tasks for the benefit of our end customers.

Essential Job Functions:

• Define, architect, and develop our in-house robot software applications
• Serve as a technical lead by mentoring junior engineers, providing high-quality feedback on designs and code reviews, and driving technical excellence through clean, reusable code
• Proactively identify and communicate technical risks, provide clear project status updates, and continuously improve software development processes
• Drive impact as a significant code contributor, developing extensible, maintainable, and scalable application value for robots deployed worldwide
• Improve software application performance through profiling, debugging, and testing
• Support integration of state-of-the-art autonomy features (deep learning models and pipelines, state-of-the-art mapping, perception, and motion planning algorithms)
• Take ownership and initiative for improving the quality of the software applications and architectures
• Work across disciplines (Hardware, Firmware, Cloud), coordinate multiple initiatives, and architect efficient and reusable solutions for various robot product lines

Education and/or Work Experience Requirements:

• BS or MS in Computer Science or related engineering discipline
• 7-8+ years of demonstrated experience in software development for complex systems interacting with sensors inputs or control-loops
• 1-2+ years of demonstrated software technical leadership experience
• Experience writing Python applications and knowledge of Python constructs and internals

Required Knowledge, Skills, Abilities and Other Characteristics:

• Demonstrated high proficiency with Python and C++ production-level coding
• Good knowledge of software debugging and profiling tools
• Distill product requirements into actionable engineering tasks while leaving room for design and implementation discussions
• Excellent organizational, analytical, reasoning and problem-solving skills
• Open, curious and creative mind, willing to build the future of robotics

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. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; 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 $143,569 to $183,449. 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 flexible 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

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 Software Engineer II, Proof of Concept (PoC), will contribute to a top engineering team by rapidly prototyping and demonstrating customer value with innovative solutions built on the BrainOS platform. With a few years of industry software experience, this role requires an individual who can quickly come up to speed on new technologies and problems, focusing on rapid development to showcase specific features and functionality that directly address customer needs and prove out market opportunities, while leveraging multitude of technologies and tools . This role offers the opportunity not only to contribute in cross-functional teams technically, but also to participate in discussions shaping the direction of the products with other internal stakeholders. This role is critical in defining problem scopes, delivering scalable solutions and aligning cross-functional efforts for impactful initiatives.

Essential Job Functions:

• Rapidly prototype and develop innovative software solutions on the BrainOS platform, focusing on demonstrating specific features and functionality that directly address customer needs and validate market opportunities
• Actively learn and apply new technologies, problem domains, and customer use cases to accelerate proof of concept development and iteration cycles
• Own the technical execution of proofs of concept, driving best practices for rapid code development, iterative testing, and demonstrative deployments to ensure high-quality, impactful validations
• Maintain a strong customer-centric approach, actively engaging with stakeholders to understand their challenges and rapidly engineer and validate solutions through iterative prototyping and data-driven insights
• Foster a culture of agility and rapid experimentation, encouraging technical discussions with a strong bias for action and embracing change and churn inherent in early-stage proof-of-concept development
• Act as a primary technical demonstrator and liaison, confidently showcasing prototypes and discussing technical solutions with internal and external customers, maintaining composure and clarity under pressure
• Collaborate closely with cross-functional teams (firmware, hardware, QE, product, program management) to define the scope of concepts, ensure technical feasibility, and align efforts for seamless transition of validated ideas
• Champion client satisfaction by conducting on-site implementations and demonstrations; must be able to travel to various customer locations to fulfil project milestones
• Other duties and responsibilities as assigned

Education and/or Work Experience Requirements: 

• Bachelor’s Degree in Computer Science, Data Science or applicable engineering discipline
• 2-4 years of demonstrated experience in software development for complex function-based software that interacts with sensor inputs, control loops, redundancy, and visualization with a strong emphasis on rapid prototyping and iterative development

Required Knowledge, Skills, Abilities and Other Characteristics:

• Demonstrated proficiency with OO C++ and/or Python production level coding, with a proven ability to develop quickly for proof of concept needs and troubleshoot issues
• ​​Experience with agents, GPT and LLM applications, i.e. developing and improving customer focused solutions leveraging these applications
• Curiosity to rapidly gain subject matter expertise in specific functional areas while keeping aware of the larger landscape of customer use case and value, especially for rapid validation
• Excellent technical and analytical skills
• Strong problem-solving skills, with a proactive and results-oriented approach focused on quickly demonstrating customer value, leveraging a wide range of tools and technologies
• Excellent communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences
• Strong collaboration skills with the ability to influence stakeholders and align cross-functional efforts for impactful initiatives
• Proven ability to embrace change and adapt quickly to evolving requirements and priorities
• Experience with ML, hardware integration, motion control, cloud platforms, web technologies, and data analysis
• Ability to remain calm and effective in fast-paced, high-pressure situations, especially when interacting with customers or demonstrating early-stage concepts

Things that make a difference:

• Master’s Degree in Computer Science, Data Science or applicable engineering discipline 
• Experience in autonomous vehicles, robotics, or related industry
• Experience with database management, ML tools and CV applications
• Involved in hands-on programs such as FIRST or robotics competitions
• Experience in applying generative AI towards ideation and iteration of engineering solutions

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. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; 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 for candidates who will work in San Diego, California is $130,000. 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 flexible 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

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:

As a member of our Software Engineering team, the Software Engineer II, Data Engineering will play a key role in designing and maintaining the data infrastructure that powers the BrainOS platform. This role requires a solid foundation in data engineering concepts and technologies; with experience in building scalable data pipelines and ensuring the integrity and performance of data systems. The Software Engineer II, Data Engineering will work independently on mid-sized projects and collaborate with senior engineers to tackle larger initiatives.

Essential Job Functions:

• Design and Develop Data Pipelines: Implement robust, scalable pipelines for processing structured and unstructured data
• Data Architecture & Modeling: Contribute to the design of complex data models and optimize storage solutions in support of engineering and business objectives
• Optimize Performance and Scalability: Enhance the efficiency and scalability of data pipelines and storage systems by identifying bottlenecks, and configuring cluster resources
• Collaborate and Support: Collaborate with data analysts, data scientists, and other business teams to support data-related technical issues and support their data infrastructure needs
• Data Security & Compliance: Implement security best practices, including encryption and access control policies, while maintaining data integrity and compliance with quality standards
• Incident Management: Monitor and troubleshoot data pipeline failures and reliability issues

Education and/or Work Experience Requirements:

• BS or MS in Computer Science or applicable engineering discipline
• 2-5 years of proven software development experience, with at least 2 of those years focused on data engineering

Required Knowledge, Skills, Abilities, and Other Characteristics:

• Proficiency in SQL as well as one or more programming languages (Python, Go, or TypeScript)
• Experience with data warehousing (BigQuery, Snowflake, Firestore, MySQL, PostgreSQL)
• Familiarity with stream processing frameworks (Apache Beam, Pub/Sub, Spark Streaming)
• Understanding of data governance, security, and compliance best practices
• Strong problem-solving skills and ability to work independently on projects
• Familiarity using Generative AI tools to enhance development workflows, such as code generation, data exploration, and documentation support
• Effective communication skills demonstrated by effective written and verbal communication; with an ability to articulate technical concepts to both technical and non-technical stakeholders

Things that make a difference:

• Experience with machine learning models and data science methodologies
• Experience with Google Cloud and their data ecosystem
• Familiarity with BI tools (e.g., Tableau, Power BI) and data frameworks (e.g., Hadoop, Spark)
• Experience with infrastructure as code (e.g., Terraform, Pulumi) and containerization and orchestration tools (e.g., Docker, Kubernetes)

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. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; 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 $130,000. 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.

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 Summary: 

The Software Engineer II plays an important role for the Applications team, contributing significantly to the development of our in-house robot software applications. You will maintain and enhance the performance of our growing compact sweeper fleet of more than 15,000 robots. You will lead in developing tools, solving complex technical issues, and collaborating with cross-functional teams, including firmware, hardware, QA, program and product management, and technical operations. You will also analyze data from field operations to drive continuous improvement in robot functionality and operational efficiency.

Essential Job Functions:

• Design, develop, and maintain advanced Python/C++ robot software applications, contributing to functionality, sensor integration, reliability, and user experience
• Oversee the performance and user experience of our Clean and Sense robot fleet, identifying and resolving critical issues to enhance customer satisfaction
• Collaborate closely with Product, UX, UI, multiple cross functional engineering teams to implement critical changes requested by customers, ensuring high-quality, timely, and impactful deliveries
• Lead the software development lifecycle, including planning, coding, reviewing, testing, and deployment, to uphold the high-quality standards of our software releases
• Facilitate technical discussions and decisions and contribute to the strategic direction of our projects
• Learn and apply new technologies and software methodologies, with an openness to mentorship and constructive feedback to grow in areas like system design, testing, monitoring, and maintenance
• Manage and refine version control practices using Git, promoting effective team collaboration

Required Education and Work Experience:

• BS or MS in Computer Science or a related engineering discipline
• 3-5 years of relevant software development experience, with a strong background in complex, sensor-driven software systems

Required Knowledge, Skills, Abilities, and Other Characteristics:

• Advanced proficiency in object-oriented programming, particularly with C++ and/or Python, in a production setting
• Demonstrated capability to lead or contribute greatly to large-scale projects, with a deep understanding of customer needs and product value
• Exceptional communication and leadership skills, able to mentor team members and guide technical and project discussions
• Strong analytical and technical skills, with a proven track record of diagnosing and resolving complex problems

Preferred Qualifications:

• Experience in autonomous vehicles, robotics, or related fields.
• Expertise in developing large complex near-real time systems
• Knowledge of complex build systems like CMake and continuous integration workflows.

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. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; talk and hear at normal room levels; using hands to finger, grasp, and feel; repetitive motion; close visual acuity to prepare and analyze data and figures; transcribing; viewing a computer terminal; extensive reading; lift, push, carry, 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. Employee is 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 $ 130,000. 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.

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 Firmware Engineering team, the Embedded Software Engineer I is responsible for focusing on writing safe, reliable embedded software for integrating hardware and software for robotic products. This role offers a hands-on opportunity to see your code directly impact the behavior of real-world robotic systems in real-time.

Essential Job Functions:

• Write, bug-fix, and maintain embedded software in C/C++ and Python to support the core functionality of robotic systems
• Collaborate with the hardware team to integrate software with MCUs and peripherals using protocols like CAN, I2C, and SPI
• Participate in code reviews and utilize GitHub for source control to ensure all firmware meets team coding standards
• Contribute to build systems (CMake/Make) and support CI/CD pipelines to streamline the deployment of firmware releases
• Maintain clear technical documentation for integrated systems and software features to support team knowledge sharing
• Other duties and responsibilities as assigned

Education and/or Work Experience Requirements:

• Bachelor’s degree in Computer Science or Electrical Engineering or a related field.
• 0-2 years of professional experience in embedded software development

Required Knowledge, Skills, Abilities, and Other Characteristics: 

• Strong software engineering and coding skill in C/C++
• Experience with ARM Cortex MCUs
• Experience with embedded RTOS, and programming in multithreaded environments
• Experience with embedded system skills (CAN, I2C, SPI, GPIO, interrupts, timers, PWM)
• Familiarity with AGILE development and continuous integration
• Familiarity with Linux environments, build systems (Makefile and/or CMake), and test automation frameworks (pytest)
• Familiarity with lab equipment (DMMs, oscilloscopes)
• Familiarity with Github for source control, tracking, and testing

Things That Make a Difference:

• MS in computer science, software engineering or a related field
• Understanding of CI/CD pipelines and related tools (e.g., Jenkins, GitLab CI/CD)
• Experience with Github, JIRA, and Jenkins tools for source control, tracking, and testing

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. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; 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 $123,000. 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.