
Security Engineer, Product and Device Security
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Job description
About the Position
Security Engineer, Product and Device Security
San Jose, CA
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
We are looking for a Security Engineer to join the Security & Privacy team at Figure, focusing on security of the robot as well as associated backend services. We are looking for excellent security engineers who have experience in breaking and building complex embedded/hardware systems, with experience in AI and complex distributed software systems.
Responsibilities
- Conduct security assessments of embedded systems, hardware designs, and software integrations, as well as build tooling for a secure design/development lifecycle of complex hardware systems.
- Design technical solutions to mitigate security risks and work with teams across the company to implement them.
- Build frameworks and systems to protect from common attacks and reverse engineering for embedded systems.
- Hunt for hardware security weaknesses and insecure design patterns on our product stack.
- Be a champion for security and user privacy.
Requirements
- Experience in several of the following embedded system security domains: hardware reverse engineering, firmware security, security architecture & design, electrical engineering and design, micro-controller security, and cryptography.
- Strong electrical engineering skills and ability to reverse engineer hardware interfaces, communication protocols, and embedded systems.
- Solid foundation in software security, especially low-level security (C/C++, compilers, etc.).
- Ability to collaborate with internal and external stakeholders while prioritizing tasks and working independently under minimal supervision.
- BS in Computer Science, Electrical Engineering, Information Systems, or equivalent years of experience in a related technical field.
- 3+ years of experience in the field of application/hardware security or related security role.
- Passion for learning and helping others.
- Excellent verbal and written communication skills, with high attention to detail.
We Offer
- Competitive Salary: The US base salary range for this full-time position is $150,000 to $350,000 per year.
- The total compensation package may also include additional components/benefits depending on the specific role.
About the Company
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human-level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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