Staff Cybersecurity Engineer

Motional•Boston, MA

22h•Hybrid

About The Position

Motional’s global headquarters are located at 100 Northern Avenue in Boston, MA. Nestled in the bustling Seaport district with sweeping views of Boston Harbor and downtown Boston, the office is located close to major transit lines and a quick walk to various restaurants and popular attractions. What you’ll be doing: Define, lead, and own the security architecture for the autonomous driving platform, including the perception stack, sensor fusion, localization, and path planning systems. Architect robust security controls for safety-critical components, such as high-performance compute, sensor arrays, and fail-operational systems. Lead comprehensive threat modeling (STRIDE, TARA) on autonomous driving systems, addressing complex attack vectors like GPS spoofing, sensor blinding, and adversarial machine learning. Design and own the secure architecture for vehicle-to-cloud communication, over-the-air (OTA) updates, and high-volume data telemetry using AWS services. Provide technical oversight and direction for Managed Security Service Providers (MSSPs), defining monitoring requirements and validating service effectiveness. Develop and enforce security requirements based on industry standards (ISO/SAE 21434, UNECE WP.29 R155) for engineering teams. Serve as the lead technical authority on security for AI/ML, robotics, hardware, and systems engineering teams.

Requirements

8+ years of experience in product security, with at least 3 years focused on autonomous systems, robotics, automotive, or safety-critical embedded systems.
Demonstrated experience securing autonomous driving domains, such as perception, sensor fusion, localization, or motion planning.
Experience designing and securing AWS cloud infrastructure, including services like AWS IoT Core, SageMaker, KMS, and VPC.
Knowledge of automotive architectures (ECU, CAN bus, Automotive Ethernet, AUTOSAR).
Expertise in applied cryptography, identity and access management, secure boot processes, and secure development lifecycles (SDL).
Hands-on experience with regulated cybersecurity standards, ideally automotive-related (ISO/SAE 21434).

Nice To Haves

Experience with hardware-backed security (HSMs, TPMs, TrustZone).
Familiarity with functional safety standards (ISO 26262).
Experience managing or providing technical oversight for third-party security vendors or MSSPs.
Background in vulnerability research or penetration testing for ML/AI systems.
Relevant security certifications (CISSP, CSEP, GICSP, AWS Certified Security - Specialty).
Advanced degree in Computer Science, Robotics, Electrical Engineering, or a related field.

Responsibilities

Define, lead, and own the security architecture for the autonomous driving platform, including the perception stack, sensor fusion, localization, and path planning systems.
Architect robust security controls for safety-critical components, such as high-performance compute, sensor arrays, and fail-operational systems.
Lead comprehensive threat modeling (STRIDE, TARA) on autonomous driving systems, addressing complex attack vectors like GPS spoofing, sensor blinding, and adversarial machine learning.
Design and own the secure architecture for vehicle-to-cloud communication, over-the-air (OTA) updates, and high-volume data telemetry using AWS services.
Provide technical oversight and direction for Managed Security Service Providers (MSSPs), defining monitoring requirements and validating service effectiveness.
Develop and enforce security requirements based on industry standards (ISO/SAE 21434, UNECE WP.29 R155) for engineering teams.
Serve as the lead technical authority on security for AI/ML, robotics, hardware, and systems engineering teams.