Automotive Cybersecurity Test Engineer

Akkodis — United States · Posted ~17 hours ago

Full-time Visa History ✓

Skills

Automotive cybersecurity ECU testing Penetration testing Protocol fuzzing Vulnerability research Embedded systems security Automotive networks Wireless security testing AFL++ libFuzzer Peach Defensics Bluetooth BLE Wi-Fi ECU

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Summary ✨ AI‑Generated

Join an elite cybersecurity team focused on protecting next-generation connected and autonomous vehicles. You will perform penetration testing, protocol fuzzing, vulnerability research, and deep security assessments of automotive ECUs, embedded systems, vehicle networks, and wireless interfaces.

Highlights

Specialized offensive-security role focused on connected and autonomous vehicles, with hands-on penetration testing, fuzzing, vulnerability research, and embedded automotive security assessments.

Description

Akkodis is seeking a full-time, highly-skilled Automotive Cybersecurity Test Engineer to join our dedicated and elite cybersecurity team in the Detroit Metro area. As the automotive industry rapidly transitions toward software-defined vehicles, ensuring the security of complex vehicular networks has never been more critical. Candidate must have experience with automotive ECU’s and Penetration Testing while being familiar with Protocol Fuzzing (no source code fuzzing) along with related tools (AFL++, libFuzzer, Peach, or Defensics) and some level of testing on wireless interfaces such as BT, BLE and WIFI. In this role, you will be at the forefront of offensive security, acting as the ultimate stress-test for the next generation of connected and autonomous vehicles. You'll dive deep into the architecture of modern vehicles, conducting rigorous security assessments, penetration testing, and vulnerability research on mission-critical automotive embedded systems. Your primary targets will range from traditional Electronic Control Units (ECUs) to next-generation high-performance vehicle computers, gateways, and digital instrument clusters. By identifying zero-day vulnerabilities and architectural flaws before they can be exploited in the wild, you will play a direct role in safeguarding the future of mobility. Starting Pay Range: Up to $145,000/yr (pay commensurate based on experience and education levels). Automotive Cybersecurity Test Engineer job responsibilities include: What You Will Do Embedded Systems Penetration & Fuzz Testing Design & Execute Campaigns: Build and execute comprehensive penetration testing campaigns against a wide variety of automotive embedded targets.Advanced Fuzzing: Configure and deploy targeted fuzzing frameworks (e.g., AFL++, libFuzzer, Peach, Defensics) against vehicle computers, ECUs, and clusters.Vulnerability Discovery: Uncover memory corruption vulnerabilities (buffer overflows, use-after-free), resource exhaustion, and complex logic flaws that automated static analyzers often miss.Comprehensive Wireless & Wired Protocol Analysis Wired Vehicle Networks: Intercept, manipulate, and inject traffic across internal wired topologies, including CAN, CAN-FD, Automotive Ethernet (SOME/IP, DoIP), LIN, and FlexRay. You will utilize industry-standard tools like Vector CANoe/CANalyzer and Vehicle Spy.Wireless Ecosystems: Aggressively analyze and exploit vulnerabilities across every wireless communication interface. This includes deep-dive assessments of Bluetooth/BLE, Wi-Fi (802.11), Cellular networks (4G/LTE, 5G, and C-V2X), UWB, NFC, and traditional RF/Keyless Entry Systems (RKE/PEPS) using Software Defined Radios (SDRs like HackRF, USRP).Hardware & Firmware Reverse Engineering Physical Attack Vectors: Conduct hands-on, hardware-level security testing to identify physical attack vectors.Hardware Debugging & Exploitation: Utilize tools like Logic Analyzers, Bus Pirate, J-Link, and UART/JTAG/SPI debuggers, side-channel analysis (SCA), and voltage/clock fault injection techniques.Firmware Analysis: Extract firmware from flash memory for subsequent reverse engineering and static analysis using disassemblers like IDA Pro.AI-Enhanced Fuzzing and Vulnerability Discovery Develop and apply AI-driven fuzzing techniques, using machine learning to intelligently guide test case generation and uncover complex vulnerabilities in vehicle software.Utilize ML models to perform automated analysis of source code and binaries, identifying potential zero-day vulnerabilities that evade traditional static and dynamic analysis tools.Automated Anomaly Detection in Vehicle Networks Implement and manage machine learning systems to analyze real-time data from CAN, Automotive Ethernet, and wireless channels, automatically detecting anomalous patterns indicative of a cyberattack.Adversarial AI/ML System Testing Conduct security assessments of on-board AI/ML systems (e.g., those used for perception, sensor fusion, or decision-making in autonomous driving).Design and execute adversarial attacks (e.g., data poisoning, evasion attacks) to test the resilience and integrity of automotive AI models.Strategic Remediation Actionable Reporting: Document findings in meticulous, highly technical reports that include mitigation strategies.Engineering Collaboration: Partner directly with other security tester/consultants to craft actionable, robust remediation strategies that fix the root cause of vulnerabilities. QUALIFICATIONS Experience & Education Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Computer Engineering, or a heavily related technical discipline.Hands-on experience in penetration testing, vulnerability research, or reverse engineering, specifically focused on automotive embedded systems, IoT devices, or specialized custom hardware.Deep Technical Expertise & Certifications Deep understanding of automotive E/E architectures, RTOS (e.g., QNX, VxWorks, AUTOSAR OS), and POSIX-based systems (Automotive Linux).Familiarity with automotive microcontrollers (e.g., Infineon AURIX TriCore, Renesas RH850, ARM Cortex-R/M) and hardware security modules (HSM/SHE).Strong grasp of industry-standard cybersecurity regulations and frameworks, specifically ISO/SAE 21434, UNECE WP.29 R155, and MITRE ATT&CK.Knowledge of common machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and their application in a security context.Understanding of adversarial ML concepts and defenses. Preferred Certifications: OSCP, OSCE, OSWE, eCPTX, GXPN, or specialized automotive/IoT security certifications.Programming & Tooling Proficiency Proficiency in scripting and low-level programming languages such as Python, C/C++, Bash, or Assembly (ARM/x86/TriCore).Experience with data science and machine learning libraries within Python (e.g., Pandas, NumPy).Extensive hands-on experience with hardware/software testing tools (e.g., Oscilloscopes, Wireshark, Burp Suite, GNU Radio, Binwalk). If you are interested in the Automotive Cybersecurity Test Engineer role, please click EASY APPLY. For other opportunities available at Akkodis go to www.akkodis.com. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:· The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance