As a Frontend Engineer Intern, you'll help build and improve the frontend of our dashboard and visualizations, focusing on real-time updates and dynamic UI.
Location: Remote
About TensorStax
TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our platform integrates agentic AI capabilities with large-scale data systems, enabling intelligent orchestration, automated pipeline management, and self-healing infrastructure.
We're looking for a Frontend Engineer Intern to help build and refine the interactive frontend powering our agent framework, data orchestration dashboard, and real-time visualizations.
What We’re Looking For
- Experience with Next.js and React, with a strong grasp of modern frontend architecture
- Familiarity with Redux or other advanced state management libraries
- Ability to implement real-time updates using WebSockets or similar technologies
- Comfortable working with complex animations and dynamic UI transitions
- Understanding of component-driven development and scalable UI patterns
- Strong interest in building systems that respond to real-time event streams
Nice to Have
- Experience with design tools like Figma or a strong product/design sensibility
- Exposure to agentic or AI-powered user experiences
- Familiarity with collaborative, multi-user web environments
Benefits
- Mentorship from senior engineers building autonomous AI systems
- Potential pathway to a full-time role upon completion
TensorStax San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
Artificial Intelligence • Computer Vision • Machine Learning • Robotics • Defense • Manufacturing
Lead and streamline day-to-day office operations for the Mountain View facility: implement workflows, manage vendors, supplies, catering, and office buildouts; support onboarding and relocation logistics; coordinate with Finance, HR, Security, Facilities, and Manufacturing; maintain documentation, secure workplace practices, and logistics support in a shift-based manufacturing environment.
Top Skills:
CmmcItarMicrosoft 365Slack
Automotive
Leads complex automotive engineering programs for integrated electric vehicle exterior systems. Coordinates design, engineering, manufacturing, testing, suppliers, finance, and supply chain teams; manages schedules, budgets, risks, issue resolution, build events, and production readiness. The role requires deep knowledge of automotive exterior systems, product development, materials, manufacturing processes, and industrialization, with responsibility for cross-functional decisions and delivery across multiple projects and locations.
Top Skills:
Catia V5/V6ConfluenceGd&TJIRA
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Architects and builds large-scale distributed platform components and data ingestion systems. Designs scalable, fault-tolerant data lake architectures using Kubernetes, Iceberg, Kafka, Flink, and Spark. Develops reusable libraries and frameworks, leads complex technical initiatives, establishes engineering best practices, troubleshoots production issues, and provides technical leadership across engineering teams.
Top Skills:
Apache FlinkApache IcebergApache KafkaSparkAvroData LakesDistributed SystemsGitopsHelmJavaJvmKubernetesLinux/Os InternalsMySQLNetworkingOracleOrcParquetPostgresSockets
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



