Fullstack Engineer

ALTEN Technology USA•Palo Alto, CA

2d•Onsite

About The Position

We're building the full-stack foundation for the next generation of humanoid robots — from high-performance, software-defined hardware to the foundational models and video world models that control it. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling scenarios unseen in training. We work at the intersection of large-scale learning, robotics, and systems, with a research team that includes researchers from Stanford, Berkeley, Harvard, and beyond. We're not building a feature; we're building a new computing platform for physical work — and with over $400M raised, we're investing aggressively in the R&D, hardware development, and manufacturing scale-up to make that a reality. We're looking for a Full Stack Software Engineer to help build the internal platforms and tooling that power our research, robotics, and infrastructure teams. You'll work across a broad surface area — from frontend interfaces for data collection and model validation, to backend services and APIs that tie together our cloud infrastructure, robot fleet, and data pipelines.

Requirements

3+ years of experience in full stack development, ideally with internal tool or platform experience
Strong proficiency in a frontend framework (React, Vue, or similar)
Solid backend experience in one or more languages (Python, Node.js, Go, etc.)
Experience with cloud infrastructure and storage (e.g., AWS, GCP, S3, GCS) and backend services
Ability to design and work with APIs (REST or gRPC) and structured data pipelines
Comfort working across codebases and systems owned by different teams — robotics, ML, and infrastructure
Strong attention to security, privacy, and multi-tenant data isolation

Nice To Haves

Familiarity with ML training pipelines, model versioning, or experiment tracking tools
Exposure to robot fleet management, robotics control systems, or teleoperation
Experience with data infrastructure tooling — dataset management, pipeline observability, or large-scale storage systems
Familiarity with distributed systems or cloud infrastructure concepts (Kubernetes, job scheduling, cluster monitoring)

Responsibilities

Build frontend interfaces for data collection, labeling, model validation, and experiment tracking
Design and maintain backend services and APIs that support fast-moving research and engineering workflows across cloud, robot, and data infrastructure
Build tooling and dashboards for observability across cloud infrastructure, distributed training jobs, and robot fleet status
Integrate with data infrastructure systems — storage backends, pipeline orchestration, and dataset management tools
Build interfaces and services that connect with our physical robot ecosystem — fleet management, teleoperation, and deployment tooling
Own reliability, performance, and scalability of internal platform tooling as usage and complexity grow
Collaborate closely with researchers, ML engineers, and robotics teams to understand needs and ship tools that accelerate their work