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Bot Auto is seeking a Software Engineer, Security Engineering to build and operate security across its autonomous trucking stack. You will secure onboard systems, cloud infrastructure, and AI components, collaborating across vehicle and platform teams to reduce risk and safeguard operations.
Ideal candidates bring hands-on security experience, Kubernetes/AWS familiarity, and a passion for responsible AI and safety in complex distributed systems.
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 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.
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