Staff Software Engineer - Cloud jobs in United States
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Brain Corp · 1 day ago

Staff Software Engineer - Cloud

Brain Corp is a San Diego-based AI company creating transformative core technology for the robotics industry. The Staff Software Engineer - Cloud will lead the design and development of large-scale, high-availability systems for Brain Corp's cloud platform, guiding a team of engineers and collaborating with cross-functional teams to build scalable machine learning systems.

Artificial Intelligence (AI)Autonomous VehiclesMachine LearningMarketing AutomationRoboticsSoftware
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H1B Sponsor Likelynote

Responsibilities

Lead 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

Qualification

Google Cloud Platform (GCP)Machine Learning PipelinesDistributed SystemsContainerization TechnologiesGoPythonTypeScriptInfrastructure-as-CodeCI/CD SystemsSecurity in CloudProblem-solvingCommunication SkillsLeadership Skills

Required

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
7+ years of professional software engineering experience, including 3+ years in cloud architecture or large-scale distributed systems
Proven experience designing and operating GCP-based ML systems at scale
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
Passion for robotics, automation, and enabling intelligence at scale

Preferred

Experience in robotics data pipelines, fleet management, or IoT-scale data ingestion
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

Benefits

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
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

Company

Brain Corp

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Brain Corp develops core technology for the robotics industry.

H1B Sponsorship

Brain Corp has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (15)
2024 (15)
2023 (13)
2022 (16)
2021 (8)
2020 (26)

Funding

Current Stage
Late Stage
Total Funding
$193M
Key Investors
Tennant coSoftBank Vision FundQualcomm Ventures
2024-02-22Corporate Round· $32M
2020-04-27Series D· $36M
2017-07-19Series C· $114M

Leadership Team

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David Pinn
Chief Executive Officer
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Eugene Izhikevich
Co-founder and Chairman
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Company data provided by crunchbase