Senior CAD Systems Engineer (NX

Antares Cad Technical Lead

In this role, you will own and evolve our Siemens NX CAD ecosystem, serving as the technical lead for CAD administration, standards development, workflow automation, Check-Mate implementation, and NX customization. You will develop scalable CAD processes and tools that improve engineering productivity and ensure consistent design practices across the organization.

In addition to owning the CAD environment, you will work closely with our responsible engineers to create and manage large, complex assemblies, develop and maintain reusable hardware libraries, and produce high-quality engineering drawings for our nuclear microreactor. The ideal candidate is an expert NX user with extensive experience implementing and customizing enterprise CAD environments, thrives on building robust engineering processes, and communicates proactively across multidisciplinary teams.

This role is required to be onsite in Torrance, CA.

• Own the administration, configuration, and continuous improvement of the Siemens NX CAD environment.
• Develop and maintain NX standards, templates, Check-Mate rules, automation, and other tools that improve engineering quality and productivity.
• Evolve and enforce CAD modeling, drafting, and data management best practices across the engineering organization.
• Create, maintain, and manage large, complex NX assemblies that are accurate, robust, and scalable.
• Review, troubleshoot, and improve CAD models and engineering drawings to ensure compliance with modeling standards, drafting standards, and best practices.
• Partner with Responsible Engineers (REs) to develop mechanical parts, complex assemblies, and high-quality engineering drawings

• 5+ years of hands-on experience administering and designing in Siemens NX within a complex mechanical engineering environment.
• Demonstrated experience developing and maintaining CAD standards, templates, reusable libraries, Check-Mate rules, and NX automation or customization (e.g., NX Open, journals, or similar tools).
• Proficient in creating manufacturing-ready engineering drawings with expert application of ASME Y14.5 GD&T principles.
• Experience administering or supporting Product Data Management (PDM) systems, including management of CAD data, part structures, revisions, metadata, and engineering change workflows.

• Bachelor's degree in Engineering or STEM discipline.
• 8+ years of experience using Siemens NX in a complex product development environment.
• Experience administering enterprise CAD systems, developing CAD standards, and implementing CAD workflows and automation.
• Experience working with Product Data Management (PDM) systems and engineering release processes.
• Experience developing engineering automation or custom tools using Python, NX Open, MATLAB, or similar scripting languages.
• Experience in the nuclear, aerospace, robotics, or other highly regulated, high-performance industries.
• Experience supporting hardware development in a fast-paced product development environment.
• Strong mechanical aptitude with the ability to understand complex assemblies, identify design issues, and collaborate effectively with multidisciplinary engineering teams.

• Ability to work long hours and weekends as necessary to support critical milestones.
• Ability to travel to customer and mission-relevant locations as needed.

• We are located in Torrance, CA in a 322,000 square foot, brand new facility featuring large open spaces for team collaboration, R&D, and production, as well as easy access to the 405, 105, and 110 freeways. Our facility is in the heart of Los Angeles' vibrant emerging tech ecosystem alongside many other high growth startups and enterprises.

At Antares, we like to specifically tie each role to our founding document's set of values–here are the top five cultural values we think you should believe at your core to be successful:

• Think in Systems
  - Energy and Defense are complex ecosystems with numerous stakeholders with competing priorities, conflicting policies, perverse incentives, and emergent and path-dependent properties. First principles…