Maintain servers, workstations, and network equipment across plant and office sites; monitor system performance; manage user accounts; apply security patches; support manufacturing systems; troubleshoot hardware and software; document configurations; coordinate with vendors.
The Security Engineer plays a foundational role in supporting the organization’s security program by implementing security controls, monitoring systems for potential threats, and assisting with incident response efforts.
Compensation
Competitive compensation packages
Responsibilities
Collaborate with cross-functional teams to embed security best practices
Automate security processes using scripting and SOAR platforms
Deploy and operate security tools and platforms
Implement, operate, and maintain comprehensive security solutions
Participate in incident response and problem-solving activities
Requirements
Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or a related field
Lead product strategy and roadmap for AI infrastructure stack, defining compiler, runtime, and framework integration features.
Responsibilities
Translate customer, engineering, and business requirements into detailed Product Requirements Documents (PRDs), technical specifications, and feature definitions.
Develop detailed product schedules, milestone plans, and release timelines while managing dependencies across multiple engineering organizations.
Define requirements for the software and AI model compilation toolchain.
Lead product partnerships and technical integrations with major machine learning frameworks and runtimes.
Define performance optimization roadmap for low-level operator libraries.
Requirements
Master of Science (M.Sc.) in Computer Science, Electrical Engineering, Mathematics, or Physics
Doctor of Philosophy (Ph.D.) in Computer Science, Electrical Engineering, Mathematics, or Physics
Nice to have: MBA
Nice to have: open-source AI infrastructure contributions
Lead product management for AI infrastructure stack, defining roadmap for compiler, runtime, and framework integration.
Responsibilities
Translate customer, engineering, and business requirements into detailed Product Requirements Documents (PRDs), technical specifications, and feature definitions.
Develop detailed product schedules, milestone plans, and release timelines while managing dependencies across multiple engineering organizations.
Define requirements for the software and AI model compilation toolchain.
Lead product partnerships and technical integrations with major machine learning frameworks and runtimes.
Define performance optimization roadmap for low-level operator libraries.
Requirements
Master of Science (M.Sc.) in Computer Science, Electrical Engineering, Mathematics, or Physics
Doctor of Philosophy (Ph.D.) in Computer Science, Electrical Engineering, Mathematics, or Physics
Nice to have: MBA
Nice to have: open-source AI infrastructure contributions