Fullstack Engineer

ALTEN Technology USA•Palo Alto, CA

3d•$110,000 - $120,000•Onsite

About The Position

We’re ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life—from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group—57,000+ engineers in 30 countries—we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you’ll collaborate on some of the world’s toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. 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. Why this role • The platform you build is the operating system for how our researchers and engineers work — your tools directly influence how fast we can iterate on model quality and robot behavior • Rare opportunity to build internal tooling at the intersection of physical AI and large-scale robotics, with direct visibility into how foundation models get developed and deployed • High ownership in a small team — you'll make real product decisions, not execute design specs handed down from above

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