Software Engineer, Security Engineering

Bot Auto; Houston (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

Bot Auto is seeking a Software Engineer, Security Engineering to help build and operate security across its autonomous trucking stack. You’ll work across onboard security and cloud infrastructure, helping protect our core autonomous-driving technology while contributing to responsible AI practices.

The role offers hands-on exposure from vehicle systems to the cloud, collaborating with cross-functional teams to strengthen defenses, threat modeling, and vulnerability management.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related field, or equivalent practical experience.
• 0-2 years of software engineering, security engineering, or related experience; internships, projects, or open-source contributions are welcome.
• Proficiency in programming in Python, Go, Rust, C/C++, or JavaScript/TypeScript.
• Foundational understanding of authentication and authorization, networking, OS, and common security vulnerabilities.
• Familiarity with Linux and cloud or distributed systems, with interest in securing production environments.

Responsibilities

• Implement and maintain security controls for onboard (in-vehicle) systems, including secure boot, code signing, secrets and key management, secure over-the-air (OTA) updates, and system hardening.
• Support security across infrastructure and platforms, including Kubernetes, public cloud (AWS), on-prem data centers, CI/CD pipelines, and internal developer platforms.
• Help evaluate and implement protections for AI systems, including defenses against prompt injection, data exfiltration, model and supply-chain risks, and unsafe agent behavior.
• Build and maintain identity and access management, secrets management, and least-privilege authorization for services, devices, and fleet systems.
• Participate in threat modeling, security design reviews, and risk assessments, and partner with engineering teams to address identified issues.
• Help operate vulnerability management, dependency and supply-chain scanning, and secure software development lifecycle (SSDLC) tooling and processes.
• Contribute to security detection, logging, monitoring, and incident response across onboard and infrastructure environments.
• Improve security through automation, documentation, testing, and close collaboration with software, platform, and autonomy engineering teams.

Skills

Python

Go

Rust

C/C++

JavaScript/TypeScript

Education

Bachelor's degree in CS/Engineering/Cybersecurity

Tools

Kubernetes

AWS

Terraform

Pulumi

CI/CD

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.

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.

Software Engineer, Security Engineering

We are seeking a motivated Software Engineer, Security Engineering to help build and operate security across Bot Auto's autonomous trucking stack. The proprietary technology that powers our autonomous driving system is our core intellectual property, and protecting it - along with the safety-relevant systems behind our fleet - is mission critical. In this role, you will work with experienced engineers across onboard (in-vehicle) security as well as infrastructure and platform security. You will contribute to how Bot Auto adopts AI responsibly by helping assess risks in large language models and agentic systems and implementing practical protections. This is a hands‑on role with opportunities to learn across the full stack, from the vehicle to the cloud, while building strong foundations in security engineering.

Key Responsibilities

• Implement and maintain security controls for onboard (in-vehicle) systems, including secure boot, code signing, secrets and key management, secure over-the-air (OTA) updates, and system hardening.
• Support security across infrastructure and platforms, including Kubernetes, public cloud (AWS), on-prem data centers, CI/CD pipelines, and internal developer platforms.
• Help evaluate and implement protections for AI systems, including defenses against prompt injection, data exfiltration, model and supply‑chain risks, and unsafe agent behavior.
• Build and maintain identity and access management, secrets management, and least‑privilege authorization for services, devices, and fleet systems.
• Participate in threat modeling, security design reviews, and risk assessments, and partner with engineering teams to address identified issues.
• Help operate vulnerability management, dependency and supply‑chain scanning, and secure software development lifecycle (SSDLC) tooling and processes.
• Contribute to security detection, logging, monitoring, and incident response across onboard and infrastructure environments.
• Improve security through automation, documentation, testing, and close collaboration with software, platform, and autonomy engineering teams.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related field, or equivalent practical experience
• 0-2 years of software engineering, security engineering, or related experience; relevant internships, research, projects, or open-source contributions are welcome
• Programming experience in one or more languages such as Python, Go, Rust, C/C++, or JavaScript/TypeScript
• Foundational understanding of authentication and authorization, networking, operating systems, and common software security vulnerabilities
• Familiarity with Linux and cloud or distributed systems, with an interest in learning how to secure production environments

Preferred Qualifications

• Internship, coursework, project, or hands‑on experience in cybersecurity, embedded systems, automotive, IoT, or edge computing
• Familiarity with containers, Kubernetes, AWS, infrastructure as code (Terraform, Pulumi), or CI/CD systems
• Interest in or exposure to AI/LLM security topics such as prompt injection, model supply chain, agent sandboxing, or AI guardrails
• Familiarity with IAM, secrets management, PKI, or zero‑trust concepts
• Experience with security tooling such as SAST/DAST, dependency scanning, SBOMs, SIEM, or vulnerability scanners through work, coursework, or personal projects
• Awareness of security standards and frameworks such as ISO/SAE 21434, NIST, OWASP, or SOC 2
• Exposure to threat modeling, incident response, capture‑the‑flag exercises, security research, or responsible vulnerability disclosure