Software Engineer, Security Engineering
The Software Engineer, Security Engineering at Confidential Client is responsible for implementing and maintaining security controls across the autonomous trucking stack, including onboard vehicle systems and cloud infrastructure. This role involves hands-on work securing AI systems, managing identity and access, conducting threat modeling, and supporting vulnerability management to protect critical intellectual property and safety-relevant systems. The position offers opportunities to work across the full stack from vehicle to cloud, contributing to the secure and responsible deployment of autonomous driving technology.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Freight and Package Transportation.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is hiring an entry-level Software Engineer, Security Engineering to help design, build, and operate security across autonomous-vehicle systems and supporting cloud/platform infrastructure. This is a hands-on engineering role that spans onboard (in-vehicle) security, platform/infrastructure security, and practical AI/LLM protections.
- Implement and maintain onboard security controls: secure boot, code signing, secrets/key management, secure OTA updates, and system hardening.
- Secure infrastructure and developer platforms: Kubernetes, AWS, CI/CD pipelines, and internal platform tooling.
- Help assess and implement AI/LLM protections (e.g., defenses for prompt injection, data exfiltration, model supply-chain risks, and agent behavior).
- Build identity and access management, least-privilege authorization, and fleet/device access controls.
- Participate in threat modeling, security design reviews, and risk assessments; work with product and engineering teams to remediate issues.
- Operate vulnerability management, dependency/supply-chain scanning, and SSDLC tooling.
- Contribute to detection, logging, monitoring, and incident response for both onboard and cloud systems.
- Improve security through automation, testing, documentation, and close collaboration with software, platform, and autonomy teams.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Cybersecurity, or equivalent practical experience, or relevant internships/projects.
- 0–2 years of software engineering, security engineering, or related experience (internships, open-source projects, coursework welcome).
- Programming experience in one or more languages such as Python, Go, Rust, C/C++, or JavaScript/TypeScript.
- Foundational understanding of authentication/authorization, networking, operating systems, and common software security vulnerabilities.
- Familiarity with Linux and cloud/distributed systems and a clear desire to learn how to secure production environments.
- Authorized to work in the United States (Confidential Client will comply with applicable federal and state hiring laws).
Preferred Qualifications
- Coursework, internships, or hands-on projects in cybersecurity, embedded systems, automotive, IoT, or edge computing.
- Experience or familiarity with containers, Kubernetes, AWS, infrastructure-as-code (Terraform/Pulumi), or CI/CD systems.
- Interest in AI/LLM security topics (prompt injection, model supply chain, agent sandboxing, guardrails).
- Familiarity with IAM, secrets management, PKI, or zero-trust concepts.
- Exposure to security tools and processes: SAST/DAST, dependency scanning, SBOMs, SIEM, vulnerability scanners.
- Awareness of security standards/frameworks (ISO/SAE 21434, NIST, OWASP, SOC 2) and threat modeling or incident response practice.
Location & Work Type
- Location: Houston, TX (onsite or hybrid as defined by Confidential Client). Specific scheduling and remote/hybrid options will be discussed during interview.
- Employment type: Volunteer (entry-level) per source posting — applicants should review the role details for exact employment terms.
Why Join
- Work on mission-critical security for autonomous vehicle systems and their cloud backplane in the Freight and Package Transportation industry.
- Gain broad exposure across embedded/vehicle security, cloud/platform security, and AI/LLM risk mitigation.
- Mentorship from experienced engineers and opportunities to learn full-stack security engineering practices.
Legal & Process Notes
- Offers may be contingent on background checks and verification as allowed by law.
- Confidential Client will comply with applicable federal, state, and local hiring laws (including wage notice, leave, and anti-discrimination laws where applicable).
- Applicants must be authorized to work in the U.S. — Confidential Client does not sponsor employment-based immigration for this role unless explicitly stated.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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