Penetration Testing Engineer

Machine Learning Technologies, LLC

Plymouth (MI)

On-site

USD 110,000 - 150,000

Full time

2 days ago
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Job summary

Machine Learning Technologies, LLC seeks an Automotive Cybersecurity Penetration Testing Engineer with hands-on experience testing automotive embedded systems, ECUs, and connected vehicle technologies. Strong CAN/CAN-FD knowledge and practical pentesting beyond fuzz testing are required.

The role is 100% onsite in Plymouth, MI, collaborating closely with engineering teams and customers. The ideal candidate will have 3+ years of hands-on pentesting experience, familiarity with USB/BLE/Wi‑Fi, and

Qualifications

  • ,

Skills

Automotive cybersecurity experience
ECUs
CAN/CAN-FD
3+ years pentesting
Beyond fuzz testing
Connected/embedded tech testing
Python/C/C++/Bash
Security testing tools
Communicate with engineering teams
Onsite Plymouth MI

Tools

Wireshark
Burp Suite
CANoe/CANalyzer
IDA Pro
Binwalk
GNU Radio
HackRF
USRP
Vector tools

Job description

We are seeking anAutomotive Cybersecurity Penetration Testing Engineerwith hands‑on experience testing automotive embedded systems, ECUs, and connected vehicle technologies. The ideal candidate will have strong knowledge ofCAN protocolsand practical penetration testing experience beyond basic fuzz testing.

Required Skills:
  • Priorautomotive cybersecurity/automotive industry experience.
  • Hands‑on experience withElectronic Control Units (ECUs)and automotive embedded systems.
  • Strong understanding ofCAN/CAN-FDprotocols and automotive vehicle networks.
  • 3+ years of hands‑on experiencein penetration testing, vulnerability research, or security testing.
  • Proven penetration testing experiencebeyond 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 withautomotive embedded systems, connected vehicle systems, or specialized hardware.
  • Strong scripting/programming skills inPython, C/C++, or Bash.
  • Experience with security testing and analysis tools such asWireshark, 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 withengineering teams and customers.
  • Ability and willingness to work100% onsite in Plymouth, MI.
Preferred Skills:
  • Experience withAutomotive Ethernet, SOME/IP, DoIP, LIN, or FlexRay.
  • Experience withfirmware analysis, reverse engineering, or hardware security testing.
  • Knowledge ofUART, JTAG, SPI, hardware debugging, or embedded interfaces.
  • Experience with tools such asIDA Pro, Binwalk, GNU Radio, HackRF, USRP, Vehicle Spy, or Vector tools.
  • Knowledge of automotive operating environments such asQNX, VxWorks, AUTOSAR OS, or Automotive Linux.
  • Familiarity withISO/SAE 21434, UNECE WP.29 R155, or automotive cybersecurity practices.
  • Experience testingBluetooth/BLE, Wi‑Fi, cellular, UWB, NFC, C‑V2X, or RF/keyless entry systems.
  • Experience with automotive microcontrollers such asARM, Infineon AURIX/TriCore, or Renesas RH850.
  • Knowledge ofHSM/SHEand automotive hardware security.
  • Experience withAI/ML security, intelligent fuzzing, anomaly detection, or adversarial ML.
  • Knowledge ofPython‑based data/ML libraries such as NumPy, Pandas, TensorFlow, PyTorch, or scikit‑learn.
  • Automotive/IoT cybersecurity certifications such asOSCP, OSCE, OSWE, eCPTX, or GXPN.

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.

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