Senior Software Engineer (Robotics & AI Systems) at Bucket Robotics (S24)
$120K - $150K  •  1.00% - 3.00%
Defect detection for manufacturing built from CAD and synthetic data.
San Francisco, CA, US / Remote (New York, NY, US)
Full-time
US citizen/visa only
3+ years
About Bucket Robotics

About Bucket Robotics

At Bucket Robotics, we’re on a mission to revolutionize quality control in manufacturing. Today, over $10 billion worth of manufactured parts are scrapped due to defects, and traditional inspection methods are slow, expensive, and unreliable. We’re changing that by deploying AI-powered vision systems that detect defects faster, more accurately, and with minimal setup.

Our unique approach uses synthetic data generated from CAD models, allowing us to deploy defect detection models 50x faster than competitors—no need for thousands of real-world images.

We’re a team of engineers and innovators with backgrounds from Michelin, Uber ATG, Argo AI, and Stack AV, applying our robotics expertise to solve real-world manufacturing challenges. We’ve already secured enterprise customers in automotive and plastics, and we’re just getting started.

If you're excited about AI, robotics, and making a tangible impact on manufacturing, we'd love to hear from you!

About the role
Skills: ML, Python, Machine Learning

Role Overview

We're seeking a Senior Software Engineer to join our core team and help shape our technology, architecture, and culture from the ground up. As one of our first technical hires, you'll work across the entire robotics stack to define the future of AI-driven defect detection in manufacturing.

If you thrive in high-impact, hands-on environments and are passionate about building cutting-edge robotics and vision systems, we'd love to talk.

Responsibilities

  • Build and optimize AI-driven defect detection systems.
  • Design scalable computer vision and deep learning pipelines.
  • Develop and maintain core robotics software in Rust/Python.
  • Lead systems architecture and make key technology decisions.
  • Work closely with hardware engineers to deploy robust edge AI.

Required Qualifications

  • 3+ years of software engineering experience, with a strong focus on robotics, AI, or computer vision
  • Proficiency in Rust and Python
  • Deep understanding of computer vision and machine learning
  • Strong systems design and performance optimization skills.
  • Bachelor's degree in Computer Science, Robotics, Engineering, or a related field

Preferred Qualifications

  • Experience with CUDA and the Nvidia Jetson platform
  • Experience implementing object detection, tracking, and pose estimation models
  • Experience with reinforcement learning
  • Familiarity with embedded systems and real-time computing

What We Offer

  • Competitive salary & meaningful equity – shape the company and share in its success
  • Comprehensive benefits – health, dental, and vision insurance
  • Professional development budget – attend conferences, take courses, grow your skills
  • A chance to build something real – work with a great team of roboticists, helping expand tooling for manufacturing.

Our Values

  • Innovation First: We push the boundaries of what's possible in robotics
  • Ownership Mentality: We take responsibility and act like founders
  • Collaborative Spirit: We work together to solve complex challenges
  • Continuous Learning: We're always growing and improving

Bucket Robotics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Technology

Tech at Bucket Robotics

Robots and Rust—what’s not to love?

At Bucket Robotics, we’re tackling real-world, high-impact problems in manufacturing with AI-powered vision systems. Our tech stack is built for speed, scalability, and reliability, enabling us to deploy defect detection models 50x faster than traditional approaches.

We work across the full robotics stack:

AI & Vision: Custom machine learning models trained with synthetic data from CAD, eliminating the need for massive real-world datasets. Edge Computing: Optimized NVIDIA Jetson deployments, running real-time vision algorithms directly on factory floors. Embedded Systems & Robotics: Custom hardware, low-latency processing, and industrial automation integrations. Enterprise Software: ERP (SAP, Oracle, etc.) integrations, ensuring manufacturing insights flow directly into production workflows. Scalability & Deployment: Containerized solutions for on-prem & cloud, built with Rust, Python, and C++ for performance and safety.

We're solving hard problems in robotics, AI, and industrial automation, building systems that bridge the gap between cutting-edge AI and real-world manufacturing challenges. If you're excited about machine vision, robotics, and pushing the limits of automation, let's talk!

Interview Process

Interview Process – Senior Robotics Engineer

We’re hiring a Senior Robotics Engineer to join our founding team. This process is designed to move fast, stay human, and focus on how you think, build, and collaborate in messy real-world systems.

We’re not interested in trick questions or academic theory—we want to see how you approach problems, make tradeoffs, and build systems that ship.

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1. Intro Call (15 minutes)

A short conversation with our founder to:

- Share what we’re building at Bucket Robotics

- Hear about your background, interests, and goals

- Give you space to ask questions

This is mostly a mutual vibe check and context-setter.

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2. Design & Tradeoffs Challenge (Take-Home, ~2–3 hours, due in 4 days)

You’ll receive a toy robotics or vision systems problem based on our real-world challenges. We’re not asking you to code the full thing—just show how you’d reason through it.

We’ll ask you to:

- Propose a system design with rough diagrams or flow descriptions

- Write a bit of skeleton code or pseudocode

- Estimate time-to-implementation for a basic version

- Write 3–4 paragraphs explaining your reasoning, limitations, and tradeoffs

We care more about clarity and decision-making than perfect code.

---

3. Technical Deep Dive (45 minutes)

You’ll meet with one of our engineers to go deeper into your take-home and past technical work. We’ll explore:

- Your approach to debugging and optimization

- How you think about system boundaries and abstractions

- What you’ve learned from past deployments or field failures

This will be conversational and technical—not adversarial.

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4. Culture & Collaboration Interview (45 minutes)

A discussion with our founder focused on:

- How you operate in small, high-ambiguity environments

- Times you’ve handled stress, failure, or shifting priorities

- What kind of team and leadership you thrive under

We want to know you’re someone who can own problems, adapt fast, and work with humility.

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5. Final Decision

We move quickly and give clear feedback. If we’re aligned, we’ll get you an offer and start onboarding fast. We’re a small team and we respect your time.

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