What You'll Do
We're looking for a seasoned, broad software engineer to join our AI team and build the systems our models depend on. Our AI researchers push the modeling frontier; this role owns nearly everything around it - the data that goes in, the infrastructure that trains and evaluates, the perception plumbing that connects cameras to the robot, and the product surfaces that put all of it in a customer's hands.

The AI team is small, so the surface area is wide and the ownership is real. You may move between adding functionality to the data ingestion pipeline, a camera calibration bug, and a customer-facing feature in the same month - and you'll decide which of those matters most this week.

Location and BenefitsThis role is hybrid with 3 days/week onsite in our NYC office, centrally located near Grand Central Station. The office is fully equipped with robots for demos and testing!

Responsibilities

• Identify, scope, and drive high impact technical and user facing projects across the AI team's stack
• Ship the product surfaces that expose AI capabilities to users - the applications and APIs customers actually touch
• Mentor and advise other engineers as well as peers on technical and personal advancement
• Drive technical decision making and implementation through hands-on and technically deep work

Plus ownership of one or more of these, depending on where your experience is strongest:

• Data pipelines: the flywheel for end-to-end AI - ingestion of teleop and demonstration data, labeling and curation tooling, dataset quality metrics
• Training and evaluation infrastructure: training pipelines, experiment tracking, GPU orchestration, model versioning, and deployment out to robots
• Perception integration: camera calibration, vision pipelines, and getting model outputs into the robot runtime reliably

Tech Stack

• Front-end: React, TypeScript
• Back-end: Node.js, Python, C++
• ML: PyTorch
• Kubernetes
• Docker
• GitHub Actions

Who You Are
We do not require a background in robotics.
We're looking for engineers who are self driven, optimistic, creative, and resourceful. We have no requirements for a background in robotics, but find most success with engineers excited by the domain and looking to apply their expertise and experience in a new area.
Our ideal candidate will be open to doing approximately 70% back-end and 30% front-end work with flexibility to sway more towards one or the other, depending on current projects and team needs.
This is a generalist role first - but on the AI team, so we're looking for someone whose breadth already reaches into at least one AI-adjacent domain.

Skills You'll Bring

• Experience: You have a strong technical background, including 5-10 years of experience working in complex environments
• AI-adjacent depth (strongly preferred): You have professional experience in at least one of ML Ops, data pipelines, or computer vision - for example building training or inference infrastructure, running large-scale data ingestion and curation, or shipping a vision pipeline to production. You don't need to have trained the models yourself.
• Growth + Optimism: You are excited by new domains and challenges, and eager to pick up new context to accelerate your impact
• Clarity of Communication: You excel in written and verbal communication and enjoy leveraging your skills to support your peers
• Impact Driven: You relentlessly seek user impact and value execution over technical idealism
• Proactive Simplicity: You prioritize simplicity, reliability, and velocity and proactively identify opportunities to improve proposed implementations or incumbent systems
• Excelling in Ambitious Environments: You excel in dynamic and ambitious environments, working with a diverse group of individuals and backgrounds

Compensation and Benefits
The base salary range for this role is $180,000 to $210,000, depending on experience. Base salary is just one part of the overall compensation at Standard Bots. All Full-Time Employees are eligible for Employee Stock Options. We also offer a package of benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.