Full Stack Software Engineer

TEKsystems • San Jose, CA

7d • $60 - $70 • Hybrid

About The Position

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.

Requirements

• 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, GCP, 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 Haves

• 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.)

Responsibilities

• 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

Benefits

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed