Full Stack Software Engineer
Role details
Job location
Tech stack
Job description
Our Client is hiring a Full Stack Software Engineer to own the internal automation platform that powers their entire research, robotics, and infrastructure organization. This is a true 50/50 full-stack role - equal frontend and backend ownership - with a need for someone comfortable working close to hardware and physical systems. The platform this engineer builds is mission-critical: it drives how they collect training data, validate robot task performance, manage model versions, monitor distributed training jobs and robot fleet health, and accelerate iteration on humanoid robot behavior. Daily collaboration with ML engineers, roboticists, and researchers. What You'll Build Frontend interfaces for data collection, labeling, model validation, and experiment tracking Backend services and APIs connecting cloud infrastructure, the robot fleet, and data pipelines Observability tooling and dashboards for cloud infra, distributed training jobs, and robot fleet status Integrations with data infrastructure - storage backends, pipeline orchestration, dataset management Fleet management, teleoperation, and deployment tooling bridging software to physical robots Reliability, performance, and scalability ownership across the internal platform as it scales
Requirements
Required 3+ years of full-stack development experience, ideally building internal tools or platforms Strong proficiency in a frontend framework - React, Vue, or similar Solid backend in Python, Node.js, Go, or equivalent Cloud infrastructure and storage experience - AWS, Google Cloud Platform, S3, GCS, or similar Strong ability to design and work with REST or gRPC APIs and structured data pipelines Comfortable working across codebases owned by multiple teams (robotics, ML, infrastructure) Strong attention to security, privacy, and multi-tenant data isolation Nice to Have - Strong Differentiators Familiarity with ML training pipelines, model versioning, or experiment tracking tools Exposure to robot fleet management, robotics control systems, or teleoperation software Experience with large-scale data infrastructure - dataset management or pipeline observability Familiarity with distributed systems: Kubernetes, job scheduling, or cluster monitoring Prior work with LLM or foundation model APIs (Claude, OpenAI, etc.) Experience Level Intermediate Level
Benefits & conditions
This is a Contract position based out of San Jose, CA. Pay and Benefits The pay range for this position is $60.00 - $70.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in San Jose,CA.