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Skild AI

engineering opportunity

Embedded Security Engineer

The Embedded Security Engineer will conduct threat modeling and security assessments to protect robotic models. They will also collaborate with engineering teams to ensure compliance with security standards and lead penetration tests.

San Mateo, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Skild AI?

COMPANY OVERVIEW

At Skild AI, we are building the world's first general purpose robotic

intelligence that is robust and adapts to unseen scenarios without failing. We

believe massive scale through data-driven machine learning is the key to

unlocking these capabilities for the widespread deployment of robots within

society. Our team consists of individuals with varying levels of experience and

backgrounds, from new graduates to domain experts. Relevant industry experience

is important, but ultimately less so than your demonstrated abilities and

attitude. We are looking for passionate individuals who are eager to explore

uncharted waters and contribute to our innovative projects.

POSITION OVERVIEW

We are seeking a proficient Embedded Security Engineer to join our team and

contribute to the protection of our models deployed on robotic hardware. You

will be responsible for conducting comprehensive threat modeling and security

assessments, as well as supporting our engineering teams in adhering to

established security standards and requirements. This role involves both

software engineering techniques and deep learning methods to encode/encrypt

trained models. A blend of technical acumen and collaborative skills is

essential, as you will develop solutions to identified risks, write test cases

for security controls, and actively participate in offensive security

assessments.

RESPONSIBILITIES

* Conduct detailed threat modeling and security assessments of critical assets.

* Regularly update threat models to reflect evolving threats and changes in the

business environment.

* Identify and explore vulnerabilities in critical software components used

across our environment.

* Create and implement technical solutions to mitigate identified risks, and

maintain test cases to ensure the effectiveness and resilience of the

solutions.

* Collaborate with engineering teams to ensure compliance with defined security

standards and requirements.

* Provide support in the implementation of security measures.

* Lead penetration tests and red team exercises.

PREFERRED QUALIFICATIONS

* BS, MS or higher degree in Computer Science, Robotics, Engineering or a

related field, or equivalent practical experience.

* Proficiency developing higher-level languages (e.g., PHP, Python, C++, or

Java).

* Experience with deep learning software, frameworks, and APIs (e.g., PyTorch,

etc.).

* Experience with enterprise security.

* Proven experience in threat modeling, security assessments, and penetration

testing.

* Strong understanding of cybersecurity principles, frameworks, and standards.

* Understanding and experience with securing transfer and storage of deep

neural network models.

Base Salary Range

$100,000—$300,000 USD

Which skills does this role require?

Embedded SecuritySoftware EngineeringPenetration TestingTechnical SolutionsCollaborationRisk MitigationComplianceProgrammingVulnerabilitiesSecurity StandardsModel ProtectionC++Machine LearningRobotic IntelligenceData-DrivenSecurity MeasuresRed Team ExercisesTest CasesNeural NetworksSecurity ControlsEngineering Teams

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Role information can change. Confirm current details on the original application page.

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