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Senior System Software Engineer – Linux Kernel Automotive Cybersecurity

NVIDIA

Senior System Software Engineer – Linux Kernel Automotive Cybersecurity

full-timePosted: Jul 28, 2026Updated: Aug 27, 2026Hyderabad, India

Job Description

NVIDIA is at the forefront of accelerated computing, autonomous vehicles, artificial intelligence, and advanced embedded systems. Our DRIVE platform enables the development of safe, secure, and intelligent vehicles that are transforming the future of transportation. We are looking for a highly motivated Senior System Software Engineer – Automotive Cybersecurity to join our Automotive Software team. In this role, you will help architect, implement, and evaluate cybersecurity solutions for next-generation automotive platforms. You will work closely with hardware, software, safety, security, and product teams to ensure compliance with industry standards such as ISO/SAE 21434, UNECE R155, and emerging cybersecurity regulations. This position offers the opportunity to influence security architecture across complex SoC platforms powering autonomous and intelligent vehicle systems. What you'll be doing:Design, develop, and review security solutions for Linux Kernel and embedded software running on NVIDIA automotive platformsPerform cybersecurity engineering activities for Linux Kernel in accordance with ISO/SAE 21434, and NVIDIA security development processes.Conduct Threat Analysis and Risk Assessment (TARA) for Linux-Kernel automotive systems, identifying attack surfaces, assets, trust boundaries, risks, and mitigationsDefine and review cybersecurity requirements for Linux Kernel, device drivers, middleware, and user-space software componentsAnalyze Linux Kernel subsystems from a security perspective, including memory management, process isolation, IPC, networking, device drivers, filesystems, and privilege managementReview Linux Kernel features, configurations, and security mechanisms to strengthen platform resilience against cyber threats.Support security assessments, vulnerability analysis, penetration testing activities, and remediation planning.Develop automation and AI-assisted workflows to improve threat modelling, security reviews, compliance tracking, and security analysisWhat we need to see:B.Tech, M.Tech, MS in Computer Science, Electronics, Embedded Systems, Cybersecurity, or a related field5+ years of experience in Linux Kernel, embedded software, or systems software developmentExperience performing cybersecurity activities aligned with ISO/SAE 21434Knowledge and experience of secure software development practices, threat modelling, risk assessment, and vulnerability analysisFamiliarity with Linux security technologies such as SELinux, AppArmor, secure boot, TPM, TrustZone, process isolation, and system hardening techniques.Strong proficiency in C programming and Linux Kernel debuggingDeep understanding of Linux Kernel architecture including drivers, networking, filesystems, memory management, process scheduling, and security subsystems.Experience with ARM-based SoCs and embedded Linux platforms.Strong understanding of operating systems, computer architecture, and embedded system designUnderstanding of automotive software development processes including ASPICE and ISO 26262Strong analytical, debugging, communication, and problem-solving skillsWays to stand out from the crowd:Hands-on experience with both Linux Kernel development and ISO/SAE 21434 cybersecurity activitiesExperience performing TARA, threat modelling, attack surface analysis, and security architecture reviews for embedded systemsFamiliarity with automotive cybersecurity regulations including UNECE R155 and ISO/SAE 21434Understanding of safety-security co-engineering, including HARA and TARA integrationExperience with vulnerability research, CVE analysis, secure code reviews, and security testing as well as contributions to upstream Linux Kernel or open-source security projects

Locations

  • Hyderabad, India
  • Bengaluru, India
  • Pune, India

Responsibilities

  • Design, develop, and review security solutions for Linux Kernel and embedded software running on NVIDIA automotive platforms
  • Perform cybersecurity engineering activities for Linux Kernel in accordance with ISO/SAE 21434, and NVIDIA security development processes.
  • Conduct Threat Analysis and Risk Assessment (TARA) for Linux-Kernel automotive systems, identifying attack surfaces, assets, trust boundaries, risks, and mitigations
  • Define and review cybersecurity requirements for Linux Kernel, device drivers, middleware, and user-space software components
  • Analyze Linux Kernel subsystems from a security perspective, including memory management, process isolation, IPC, networking, device drivers, filesystems, and privilege management
  • Review Linux Kernel features, configurations, and security mechanisms to strengthen platform resilience against cyber threats.
  • Support security assessments, vulnerability analysis, penetration testing activities, and remediation planning.
  • Develop automation and AI-assisted workflows to improve threat modelling, security reviews, compliance tracking, and security analysis
  • Design, develop, and review security solutions for Linux Kernel and embedded software running on NVIDIA automotive platforms
  • Perform cybersecurity engineering activities for Linux Kernel in accordance with ISO/SAE 21434, and NVIDIA security development processes.
  • Conduct Threat Analysis and Risk Assessment (TARA) for Linux-Kernel automotive systems, identifying attack surfaces, assets, trust boundaries, risks, and mitigations
  • Define and review cybersecurity requirements for Linux Kernel, device drivers, middleware, and user-space software components
  • Analyze Linux Kernel subsystems from a security perspective, including memory management, process isolation, IPC, networking, device drivers, filesystems, and privilege management
  • Review Linux Kernel features, configurations, and security mechanisms to strengthen platform resilience against cyber threats.
  • Support security assessments, vulnerability analysis, penetration testing activities, and remediation planning.
  • Develop automation and AI-assisted workflows to improve threat modelling, security reviews, compliance tracking, and security analysis

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