Join Skild AI as an Embedded Security Engineer to protect robotic models through threat modeling and security assessments.
Posted by employer 2 years ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: years of experience, work arrangement, visa sponsorship.
Joblaze summary
The Embedded Security Engineer at Skild AI focuses on safeguarding robotic models through thorough threat modeling and security assessments. This role requires proficiency in programming languages like Python and C++, along with experience in deep learning frameworks and enterprise security practices. Ideal candidates possess a strong background in cybersecurity and are comfortable collaborating with engineering teams to implement security measures. Skild AI values diverse experiences and encourages innovative thinking in a rapidly evolving tech landscape.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Skild AI's career page.
- Skild AI has 63 other open roles including Manufacturing Engineering Manager, Senior Electrical Engineer , Operations Program Manager – Data Infrastructure - India.
- 6527 active Python roles on Joblaze right now.
- 1661 active C++ roles on Joblaze right now.
- 1596 active Java roles on Joblaze right now.
- Salary band is below the typical range for Security roles (median ~$168,000).
- Pays more than 8% of the 3228 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- What's the salary range?
- Skild AI lists $100,000–$300,000 for this role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Java, PHP, PyTorch, Python.
- What seniority level is this role?
- Skild AI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Embedded Security Engineer role at Skild AI.
From the original posting
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.
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