Role OverviewThe Sr Staff Software Engineer, Cloud AI Infrastructure 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.
What You Will Do
Lead a team of cloud software engineers, providing technical mentorship, and career guidance. 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.
Why It Might Be a Fit
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.
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.
- 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.
Benefits
- 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
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