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# Security Engineering

- **Company:** Bot Auto
- **Location:** United States
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, User Authentication, C++ (Programming Language), Cyber Security, Computer Programming, Continuous Integration, Data Centers, Linux, Distributed Systems, Identity and Access Management, Python (Programming Language), Key Management, Open Web Application Security, Public Key Infrastructure, Zero Trust Network Access, Security Information and Event Management, Software Engineering, TypeScript, Software Vulnerability Management, Data Logging, Pulumi, Cloud Platform System, Large Language Models, Software Security, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Free and Open-Source Software, Multiaccess Edge Computing, Terraform, Static Application Security Testing, Vulnerability Analysis, Dynamic Application Security Testing
- **Published:** September 24, 2026
- **Apply:** https://startup.jobs/software-engineer-security-engineering-bot-auto-10175089

## About the Role

* 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, * 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

## Description

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., * 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.


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