Security
Genesis AI
San Francisco, United States · Full-time · Robotics Software & Infrastructure
Design, build, and scale security infrastructure from the ground up across our systems, networks, endpoints, and products
Apply on Genesis AI’s careers page- Company
- Genesis AI
- Location
- San Francisco, United States
- Workplace
- On-site
- Type
- Full-time
- Specialism
- Robotics Software & Infrastructure
- Team
- Engineering & Research
- Posted
- 22 May 2026
About the role
What You’ll Do - Design, build, and scale security infrastructure from the ground up across our systems, networks, endpoints, and products - Own and evolve security architecture across endpoint security, network security, application security, product security, and data security - Develop and maintain detection, monitoring, and incident response capabilities across cloud and on-prem environments - Establish security controls, policies, and operational processes that enable the company to scale securely - Partner closely with engineering teams to integrate security throughout the software development lifecycle (SDLC) - Drive vulnerability management programs, including identification, prioritization, remediation, and validation - Lead risk assessments across infrastructure, applications, vendors, and internal systems - Build and improve security education and awareness programs across the organization - Collaborate with a team of driven individuals committed to building general-purpose Physical AI - Own IT Infrastructure in the interim What You’ll Do - Design, build, and scale security infrastructure from the ground up across our systems, networks, endpoints, and products - Own and evolve security architecture across endpoint security, network security, application security, product security, and data security - Develop and maintain detection, monitoring, and incident response capabilities across cloud and on-prem environments - Establish security controls, policies, and operational processes that enable the company to scale securely - Partner closely with engineering teams to integrate security throughout the software development lifecycle (SDLC) - Drive vulnerability management programs, including identification, prioritization, remediation, and validation - Lead risk assessments across infrastructure, applications, vendors, and internal systems - Build and improve security education and awareness programs across the organization - Collaborate with a team of driven individuals committed to building general-purpose Physical AI - Own IT Infrastructure in the interim What You’ll Bring - Excellent software engineering and infrastructure skills (Python, Go, or similar) - Extensive experience building and operating security infrastructure in fast-moving environments - Deep understanding of modern security domains including endpoint, network, application, product, and data security - Experience designing and implementing detection and response systems - Strong understanding of security controls, risk management, and vulnerability management best practices - Experience integrating security into engineering and infrastructure workflows across the SDLC - Hands-on experience operating production infrastructure and cloud environments - Ability to operate independently, prioritize effectively, and build systems from zero to scale - Experience leading or mentoring security teams, while remaining highly hands-on as an individual contributor - Bonus: Experience securing AI systems, robotics platforms, or large-scale distributed infrastructure - Excellent software engineering and infrastructure skills (Python, Go, or similar) - Extensive experience building and operating security infrastructure in fast-moving environments - Deep understanding of modern security domains including endpoint, network, application, product, and data security - Experience designing and implementing detection and response systems - Strong understanding of security controls, risk management, and vulnerability management best practices - Experience integrating security into engineering and infrastructure workflows across the SDLC - Hands-on experience operating production infrastructure and cloud environments - Ability to operate independently, prioritize effectively, and build systems from zero to scale - Experience leading or mentoring security teams, while remaining highly hands-on as an individual contributor - Bonus: Experience securing AI systems, robotics platforms, or large-scale distributed infrastructure