Cybersecurity Code Test Engineer

Knightscope•Sunnyvale, CA

3d•$155,000 - $195,000•Onsite

About The Position

As a critical defender of our product and infrastructure ecosystem, the Cybersecurity Code Test Engineer will bridge the gap between secure development architectures and robust production systems. Reporting directly to the Director of Cybersecurity, this high-impact role guarantees maximum autonomy and direct escalation paths for product security risks. You will oversee, architect, and execute advanced security testing paradigms across both bare-metal/embedded firmware layers and cloud-native software applications, enforcing adherence to strict secure development lifecycles (SSDF) aligned to NIST SP 800-218 frameworks. This engineer owns end-to-end security testing across embedded firmware, cloud-native applications, and the software supply chain, anchored to the NIST SP 800-218 SSDF. Responsibilities include integrating automated security gates into CI/CD pipelines, conducting SAST/DAST across compiled code, microservices, and firmware binaries, and managing SCA tooling with SBOM generation for code provenance and regulatory compliance. The engineer partners with development teams on secure repository practices — cryptographic signing, branch protections, and secret-leakage monitoring — and participate in threat modeling throughout the product lifecycle. The role also applies AI/ML to advance test generation, vulnerability triage, and firmware fuzzing to stay ahead of known and emergent threats.

Requirements

Bachelor’s degree in computer science, Cybersecurity, Computer Engineering, or an equivalent technical field (Master's preferred). Equivalent practical experience is highly valued.
Minimum of 4–6 years of dedicated experience in software engineering, application security, and embedded firmware vulnerability assessment.
Demonstrated capacity analyzing hardware formats, embedded operating systems (RTOS/Embedded Linux), memory corruption boundaries (buffer overflows, race conditions), and hardware security architectures (TPM, Secure Boot).
Strong capabilities writing and debugging scripts in Python, C/C++, Rust, Go, or Bash to customize automated tooling wrappers.
Deep familiarity or direct operational proficiency with common, example ecosystems such as the following: CI/CD Platforms: GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps; SAST & DAST Solutions: Veracode, Checkmarx, SonarQube, Burp Suite Professional/Enterprise, OWASP ZAP; SCA & SBOM Operations: Snyk, Black Duck, Dependabot, CycloneDX CLI, Syft / Grype; Firmware & Embedded Analysis: Ghidra, IDA Pro, Binwalk, Radare2, JTAG/UART hardware debugging interfaces; AI-Assisted Security & Fuzzing: GitHub Copilot for Security, AFL++ (American Fuzzy Lop), LibFuzzer, Custom LLM-assisted code review agents.

Nice To Haves

Master's degree
CSSLP (Certified Secure Software Lifecycle Professional)
GSSP-C/GSSP-Java
CEH
Advanced hardware security credentials (OSCP, OSCE)

Responsibilities

Operationalize and validate engineering practices against NIST SP 800-218 to ensure product resilience, supply chain integrity, and regulatory compliance.
Participate in threat modeling early in the product lifecycle to establish security test plans.
Architect and maintain automated security gates within CI/CD engines, with auto-failing builds on high-risk vulnerabilities while preserving developer velocity.
Implement SAST policies across compiled code, microservices, and firmware binaries to catch logic flaws and unsafe memory operations.
Design DAST frameworks to probe runtime applications, APIs, and microservices for structural, access control, and routing vulnerabilities.
Deploy SCA tooling to track open-source licenses, manage technical debt, and surface vulnerabilities in third-party packages.
Generate and audit SBOM artifacts in machine-readable formats (CycloneDX, SPDX) for compliance and stakeholder reporting.
Standardize repository layouts, cryptographic signing, and branch protections.
Deploy continuous monitoring to detect accidental secret leakage, API tokens, and embedded credentials.
Apply AI/ML to enhance test generation, auto-triage SAST false positives, and identify anomalous behavior.
Leverage AI-assisted fuzzing platforms to probe firmware interfaces and network stacks for unknown vulnerabilities.