Penetration Testing Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Plymouth (MI); On-site; USD 120,000 - 165,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Plymouth, MI, is seeking an Automotive Cybersecurity Penetration Testing Engineer to assess safety and security of automotive embedded ECUs and connected vehicle technologies. You will work onsite, perform hands-on testing, exploit vulnerabilities, and provide actionable remediation recommendations.

The role requires strong CAN/CAN-FD knowledge, scripting in Python or C/C++, and experience with tools like Wireshark and Burp Suite.

Qualifications

• 3+ years of hands-on experience in penetration testing, vulnerability research, or security testing.
• Hands-on experience with automotive embedded systems and ECUs.

Skills

Automotive cybersecurity

ECU testing

CAN/CAN-FD

Penetration testing

Python

C/C++

Security tools

Communication

On-site work

Tools

Wireshark

Burp Suite

CANoe/CANalyzer

Job description

Job ID: J53539

Job Title: Penetration Testing Engineer

Location: Plymouth, MI

Duration: 24 Months + Extension

Domain Exposure: Manufacturing

Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Job Description

We are seeking an Automotive Cybersecurity Penetration Testing Engineer with hands-on experience testing automotive embedded systems, ECUs, and connected vehicle technologies. The ideal candidate will have strong knowledge of CAN protocols and practical penetration testing experience beyond basic fuzz testing.

Required Skills

• Prior automotive cybersecurity/automotive industry experience.
• Hands-on experience with Electronic Control Units (ECUs) and automotive embedded systems.
• Strong understanding of CAN/CAN-FD protocols and automotive vehicle networks.
• 3+ years of hands-on experience in penetration testing, vulnerability research, or security testing.
• Proven penetration testing experience beyond fuzz testing.
• Experience performing security testing on one or more connected/embedded technologies, such as:
• USB
• Bluetooth/BLE
• Wi-Fi
• Wireless communication systems
• Other connected or embedded device technologies.
• Experience with automotive embedded systems, connected vehicle systems, or specialized hardware.
• Strong scripting/programming skills in Python, C/C++, or Bash.
• Experience with security testing and analysis tools such as Wireshark, Burp Suite, CANoe/CANalyzer, or similar tools.
• Ability to identify, document, and communicate security vulnerabilities and provide actionable remediation recommendations.
• Strong communication skills with the ability to work directly with engineering teams and customers.
• Ability and willingness to work 100% onsite in Plymouth, MI.

Preferred Skills

• Experience with Automotive Ethernet, SOME/IP, DoIP, LIN, or FlexRay.
• Experience with firmware analysis, reverse engineering, or hardware security testing.
• Knowledge of UART, JTAG, SPI, hardware debugging, or embedded interfaces.
• Experience with tools such as IDA Pro, Binwalk, GNU Radio, HackRF, USRP, Vehicle Spy, or Vector tools.
• Knowledge of automotive operating environments such as QNX, VxWorks, AUTOSAR OS, or Automotive Linux.
• Familiarity with ISO/SAE 21434, UNECE WP.29 R155, or automotive cybersecurity practices.
• Experience testing Bluetooth/BLE, Wi-Fi, cellular, UWB, NFC, C-V2X, or RF/keyless entry systems.
• Experience with automotive microcontrollers such as ARM, Infineon AURIX/TriCore, or Renesas RH850.
• Knowledge of HSM/SHE and automotive hardware security.
• Experience with AI/ML security, intelligent fuzzing, anomaly detection, or adversarial ML.
• Knowledge of Python-based data/ML libraries such as NumPy, Pandas, TensorFlow, PyTorch, or scikit-learn.
• Automotive/IoT cybersecurity certifications such as OSCP, OSCE, OSWE, eCPTX, or GXPN.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.