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Fullstack Engineer

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Altentechnologyusa
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    Cloud Engineer - Software, AI Engineer (Applied/Software), DevOps, Backend Developer
Salary/Wage Range or Industry Benchmark: 110000 - 120000 USD Yearly USD 110000.00 120000.00 YEAR
Job Description & How to Apply Below

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.

Location: Palo Alto, CA

Work site: On‑site, 5 days per week

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
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
Qualifications
  • 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
Bonus Qualifications
  • Familiarity with ML training pipelines, model versioning, or experiment tracking tools
  • Exposure to robot fleet management, robotics control systems, or…
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