---
title: 'Algorithm Engineer, Deep Learning & Vision (New Grad) at Bot Auto'
canonical: 'https://feeny.ai/job/algorithm-engineer-deep-learning-vision-new-grad-bot-auto-houston-1wwtj3281y4a'
type: 'job'
last_seen: '2026-09-11'
---

# Algorithm Engineer, Deep Learning & Vision (New Grad) at Bot Auto

- **Company:** Bot Auto
- **Location:** Houston, TX / San Francisco, CA
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/botauto/jobs/5371947008

## Job description

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

## Key Responsibilities

- Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including perception, online mapping, and end-to-end planning.
- Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
- Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
- Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.

## How You'll Grow

This matters as much to us as what you'll ship.

- You get a real mentor. Every engineer is paired with senior-level engineers developing you. Mentorship here is weighted toward design and judgment: how to frame a problem, what to build and why, how to tell whether a solution is actually right.
- We promote fast. Managers are expected to push engineers to attempt work above their current level, and to promote in the next cycle when they deliver it.

## Qualifications

Required:

- Education: A Bachelor's, Master's, or Ph.D. (including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
- You have trained neural networks. Coursework, research, personal projects, open-source work, and internships all count. We care that you have actually run the loop: built a model, trained it, found out why it was not working, and fixed it.
- Core Knowledge: Strong theoretical foundation in machine learning and deep learning, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
- Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
- Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.

Preferred:

- Computer vision. Research or projects in computer vision, and particularly in 3D.
- Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
- Computer Vision (2D or 3D)
- Online Mapping, Vectorization, or Visual SLAM
- Prediction and Behavioral Modeling
- Academic Achievements: A track record of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).
- Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
- Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs.

## About Bot Auto

## Company Overview
- **One-liner**: Bot Auto is a Houston, Texas-based autonomous trucking company developing Level 4 (L4) self-driving technology to operate a fleet of autonomous trucks and offer Transportation as a Service (TaaS) to major shippers and 3PLs.
- **Entity Type**: Private (Seed Stage)
- **Headquarters**: Houston, Texas, United States
- **Founded**: 2023
- **Founders**: Dr. Xiaodi Hou (CEO)

## Core Business
- **Primary Industry**: Freight and Package Transportation / Autonomous Trucking
- **Target Customers**: B2B — Enterprise shippers and third-party logistics providers (3PLs) seeking dedicated autonomous trucking capacity.
- **Mission Statement**: To make a lasting positive impact on humanity by revolutionizing the transportation industry with autonomous trucks, reducing environmental impact, and improving the quality of life for communities worldwide. [bot.auto](https://bot.auto/about)

## Products & Services
- **Autonomous Trucking Fleet (TaaS)**: Bot Auto operates a fleet of L4 autonomous trucks on Texas roads, providing a "Transportation as a Service" model. They target real shippers who need goods moved immediately, as well as transportation brokers looking for a dedicated carrier partner. [bot.auto](https://bot.auto/)
- **Cost Per Mile (CPM) Framework**: A publicly available benchmarking standard developed in partnership with Boston Consulting Group to measure operational efficiency for autonomous trucking companies, helping stakeholders make data-driven decisions. [bot.auto](https://bot.auto/)

## Market Standing
- **Valuation/Market Cap**: Not publicly available.
- **Key Metric — Total Funding**: **$20.0M** in a single Seed round closed on September 26, 2024, backed by 9 investors. [LinkedIn](https://www.linkedin.com/company/bot-auto)
- **Notable Customers**: J.B. Hunt, Ryan Transportation, Steves & Sons. [bot.auto](https://bot.auto/)
- **Growth Signals**: Employs 68 people with a 39.3% year-over-year headcount increase (+24 people); active job postings are up 60% year-over-year; the company has successfully deployed self-driving vehicles in Texas. [LinkedIn](https://www.linkedin.com/company/bot-auto)

## Competitive Advantages
- **Leadership & Talent**: Founded by Dr. Xiaodi Hou, a recognized industry leader in autonomy. The engineering team is heavily staffed from top talent pools, including 23 former employees of TuSimple, along with engineers from NVIDIA, Waymo, Lucid Motors, and Motional. [LinkedIn](https://www.linkedin.com/company/bot-auto)
- **Safety-First Foundation**: The company explicitly states "Safety isn't a feature — It's our foundation," positioning safety and operational rigor as the core differentiator. [bot.auto](https://bot.auto/)
- **Operational Focus**: Bot Auto employs a pure TaaS model with real shippers, proving commercial viability today rather than waiting for hypothetical future demand. Their CPM Framework provides transparency into the economics of autonomous trucking.
- **Customer Backing**: Already hauling freight for major names like J.B. Hunt, indicating trust and validation from established industry players.

## Strategic Focus
- **Scaling Commercial Operations**: Expanding fleet operations and autonomous capacity for shippers and 3PLs.
- **Technology Execution**: Continuing to deploy and refine L4 autonomous driving technology, with all development and engineering centered in Houston, Texas.
- **Talent Acquisition**: Aggressively hiring across engineering (software, machine learning, autonomy), operations (fleet maintenance, dispatch), and business functions (internships for MBA/Business roles). [Greenhouse](http://job-boards.greenhouse.io/botauto)

## Why Work Here
- **Real Impact**: Bot Auto's autonomous trucks are actively operating on Texas roads today, offering engineers the chance to work on deployed technology that is "actually driving today." [bot.auto](https://bot.auto/career)
- **Culture of Excellence**: The team is described as "the best of the best" — industry leaders who know how to execute AI transformation, with a supportive environment encouraging continuous learning. [bot.auto](https://bot.auto/career)
- **Work Arrangement**: Multiple roles are listed as "Houston, TX preferred, open to remote," offering flexibility. The company is headquartered in Houston (15310 Park Row Blvd) with a presence in the San Francisco Bay Area and Canada. [Greenhouse](http://job-boards.greenhouse.io/botauto)
- **Growth Trajectory**: With 39% annual headcount growth, a 60% increase in job postings, and a mission-driven focus on transforming transportation, the company offers significant career development opportunities.
- **Notable Perks**: The team benefits from hands-on work with cutting-edge computing, direct impact on product commercialization, and a mission with concrete economic and societal benefits.

## Sources
1. [bot.auto](https://bot.auto/)
2. [bot.auto/about](https://bot.auto/about)
3. [bot.auto/career](https://bot.auto/career)
4. [Greenhouse - Bot Auto Jobs](http://job-boards.greenhouse.io/botauto)
5. [LinkedIn - Bot Auto Company Page](https://www.linkedin.com/company/bot-auto)

## Other roles at Bot Auto

- [Senior Functional Safety Engineer](https://feeny.ai/job/senior-functional-safety-engineer-bot-auto-houston-c2kr45m4344m) — Houston, TX
- [Technical Recruiter](https://feeny.ai/job/technical-recruiter-bot-auto-san-francisco-tgnran4yktqy) — San Francisco, CA
- [GPU Engineer](https://feeny.ai/job/gpu-engineer-bot-auto-houston-56xpxvrhb6c9) — Houston, TX / San Francisco, CA
- [Local Driver CDL](https://feeny.ai/job/local-driver-cdl-bot-auto-dallas-de11dvtb9tkt) — Dallas, TX
- [Local Driver CDL](https://feeny.ai/job/local-driver-cdl-bot-auto-hutchins-3j1bnq2ged43) — Hutchins, TX
- [Senior Software Engineer, Developer Platform](https://feeny.ai/job/senior-software-engineer-developer-platform-bot-auto-houston-cz7pradks1n4) — Houston, TX / San Francisco, CA
- [Senior Algorithm Engineer, Deep Learning & Vision](https://feeny.ai/job/senior-algorithm-engineer-deep-learning-vision-bot-auto-houston-1r5932qxg9x8) — Houston, TX / San Francisco, CA
- [Software Engineer, VCU (Vehicle Control Unit)](https://feeny.ai/job/software-engineer-vcu-vehicle-control-unit-bot-auto-houston-exgghy15vzh6) — Houston, TX
- [E/E Architecture & Electrical Systems Engineer](https://feeny.ai/job/e-e-architecture-electrical-systems-engineer-bot-auto-houston-1c7f4w9xsg4r) — Houston, TX
- [Intern, Deep Learning Engineer](https://feeny.ai/job/intern-deep-learning-engineer-bot-auto-houston-0b2vqyerbj6w) — Houston, TX