# Senior Software Engineer, Security Engineering at Bot Auto

Senior Software Engineer, Security Engineering at Bot Auto in Houston, TX. Remote. Posted September 23, 2026.

- Company: Bot Auto
- Location: Houston, TX
- Workplace: Remote
- Experience: 5+ years
- Posted: 2026-09-23
- Apply: https://job-boards.greenhouse.io/botauto/jobs/5433422008
- Source: https://jobmagic.ai/jobs/senior-software-engineer-security-engineering-bot-auto-8m3yb0

## Requirements

- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
- 5+ years of hands-on software engineering experience, with a strong focus on security
- Strong software development skills in one or more languages: Python, Go, Rust, C/C++, or JavaScript/TypeScript
- Solid understanding of applied cryptography, authentication and authorization, secure system design, and common vulnerability classes
- Experience securing cloud infrastructure and/or distributed systems in production

## 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, Security Engineering** to design, 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 across onboard (in-vehicle) security as well as infrastructure and platform security. You will also help shape how Bot Auto adopts AI responsibly: understanding the security implications of large language models and agentic systems, and developing the protections that let us innovate quickly and safely. As a hands-on technical leader, you will embed security best practices into every layer of our systems, from the vehicle to the cloud.

### **Key Responsibilities**

- Design and implement security controls for onboard (in-vehicle) systems, including secure boot, code signing, secrets and key management, secure over-the-air (OTA) updates, and hardening of the autonomous driving software stack.

- Architect and operate security across infrastructure and platforms, spanning Kubernetes, public cloud (AWS), on-prem data centers, CI/CD pipelines, and internal developer platforms.

- Develop protections for AI systems — assess the security implications of large language models and agentic workflows (prompt injection, data exfiltration, model and supply-chain risks) and build guardrails, sandboxing, and monitoring.

- Build identity and access management, secrets management, and least-privilege authorization across services, devices, and the fleet.

- Perform threat modeling, security design reviews, and risk assessments for new products and architectures, partnering with engineering teams to remediate findings.

- Establish vulnerability management, dependency and supply-chain scanning, and a secure software development lifecycle (SSDLC) across the organization.

- Develop detection, logging, and incident response capabilities to identify and respond to security events across onboard and infrastructure environments.

- Champion a security-first culture through tooling, automation, documentation, and mentorship.

### Required **Qualifications **

- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience

- 5+ years of hands-on software engineering experience, with a strong focus on security

- Strong software development skills in one or more languages: Python, Go, Rust, C/C++, or JavaScript/TypeScript

- Solid understanding of applied cryptography, authentication and authorization, secure system design, and common vulnerability classes

- Experience securing cloud infrastructure and/or distributed systems in production

### Preferred **Qualifications **

- Experience with embedded, automotive, IoT, or other onboard/edge security (secure boot, TPM/HSM, code signing, OTA updates)

- Familiarity with Kubernetes and cloud security (AWS), IaC security (Terraform, Pulumi), and CI/CD pipeline hardening

- Knowledge of AI/LLM security: prompt injection, model supply chain, agent sandboxing, and AI guardrail frameworks

- Experience with IAM, secrets management (e.g., HashiCorp Vault), and zero-trust architectures

- Hands-on experience with security tooling: SAST/DAST, SBOM and dependency scanning, SIEM, and detection engineering

- Familiarity with security standards and frameworks (e.g., ISO/SAE 21434, NIST, OWASP, SOC 2)

- Experience with threat modeling and incident response