---
title: 'Senior Software Engineer, Developer Platform at Bot Auto'
canonical: 'https://feeny.ai/job/senior-software-engineer-developer-platform-bot-auto-houston-cz7pradks1n4'
type: 'job'
last_seen: '2026-09-11'
---

# Senior Software Engineer, Developer Platform at Bot Auto

- **Company:** Bot Auto
- **Location:** Houston, TX / San Francisco, CA
- **Posted:** 2026-07-28
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/botauto/jobs/5373345008

## 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.

We are seeking a highly skilled and motivated Senior Software Engineer to architect, build, and operate the workflow orchestration platforms that power Bot Auto's engineering and autonomy workloads. From simulation and machine learning training to data pipelines and CI/CD, our teams depend on reliable, scalable workflow systems to move fast. In this role, you will own one or a hybrid of orchestration platforms (such as Argo Workflows and Airflow), operate them at scale, and develop the internal platforms and abstractions built on top of them that make running complex workloads simple, observable, and cost-efficient.

## Key Responsibilities

- Architect, deploy, and operate workflow orchestration platforms (e.g., Argo Workflows, Airflow, or a hybrid) supporting simulation, machine learning and model training, data pipelines, CI/CD, and other general-purpose workloads.
- Build internal platforms, abstractions, SDKs, and self-service tooling on top of orchestration engines to make authoring, running, and monitoring workflows simple and reliable for engineers.
- Operate workflow platforms at scale on Kubernetes across cloud (AWS) and on-prem data center environments, handling scheduling, autoscaling, GPU and heterogeneous resources, and cross-cluster orchestration.
- Ensure reliability, performance, and cost efficiency of workloads through observability, queuing and prioritization, retries, and resource optimization.
- Partner with ML, simulation, data, and infrastructure teams to understand workload requirements and deliver fit-for-purpose pipelines.
- Integrate workflow platforms with storage, data streaming and event systems, artifact and model registries, and CI/CD tooling.
- Establish best practices, templates, and documentation for workflow authoring and operations; mentor engineers across the company.
- Handle user-impacting issues promptly with clear communication — mitigate in the short term and follow up with durable long-term solutions.

Required Qualifications

- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
- 5+ years of hands-on experience in platform engineering, infrastructure, DevOps, or SRE roles
- Significant experience with workflow orchestration platforms such as Argo Workflows, Airflow, or comparable systems
- Strong software development skills in one or more languages: Python, Go, Java, or JavaScript/TypeScript
- Solid understanding of Kubernetes and distributed systems

## Preferred Qualifications

- Expert-level experience operating Argo Workflows, Airflow, and/or other engines (e.g., Prefect, Dagster, Temporal, Kubeflow Pipelines, Flyte)
- Experience orchestrating ML training, simulation, or large-scale data and batch workloads, including GPU scheduling
- In-depth Kubernetes experience (EKS, GKE, AKS, RKE2/Rancher) and cross-cluster orchestration
- IaC tools proficiency, including Terraform, Pulumi, OpenTofu, or Ansible
- Experience with data streaming and event platforms, including NATS JetStream, Kafka, Pulsar, or RabbitMQ
- Familiarity with observability stacks: Prometheus, Grafana, Loki, OpenTelemetry, or comparable
- Demonstrated ability to optimize workload cost and performance without compromising reliability

## 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 Algorithm Engineer, Deep Learning & Vision](https://feeny.ai/job/senior-algorithm-engineer-deep-learning-vision-bot-auto-houston-1r5932qxg9x8) — Houston, TX / San Francisco, CA
- [Algorithm Engineer, Deep Learning & Vision (New Grad)](https://feeny.ai/job/algorithm-engineer-deep-learning-vision-new-grad-bot-auto-houston-1wwtj3281y4a) — 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