Software Engineer, Security Engineering

Job description

Job 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.

Job requirements

• 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