Senior-Staff Enterprise Software Engineer

The role

You will build and administer the operating backbone connecting supply chain, manufacturing, purchasing, quality, engineering, and finance. This involves designing AI-enabled workflows, implementing automations, and managing enterprise systems to support physical work.

What you will do

• Translate requirements into system workflows, data models, forms, and operating procedures
• Design and implement agentic and AI-enabled workflows
• Implement anomaly detection algorithms to identify quality process gaps
• Build practical automations using SQL, Python, APIs, low-code tools, RPA, webhooks, or workflow engines
• Develop human-in-the-loop AI workflows to summarize communications and flag missing data
• Own day-to-day administration and configuration of supply chain and manufacturing enterprise systems
• Create integrations between enterprise systems and collaboration tools
• Maintain master data and system hygiene for suppliers, parts, and operational metadata
• Support implementation and rollout of new tools or modules
• Partner with supply chain and manufacturing teams to build workflows for production and material readiness

Required qualifications

• Bachelor’s degree in engineering, computer science, math, physics or related fields
• 5+ years of experience in supply chain systems, manufacturing systems, procurement operations, business systems, operations technology, industrial engineering, or a similar role supporting enterprise
• Ability to work long hours and weekends as necessary
• Ability to travel occasionally

Nice to have

• Hands-on experience administering or implementing at least one enterprise operations system such as MES, ERP/MRP, procurement/purchasing, supplier management, inventory/materials, QMS, PLM, or workflo
• Software development experience in a high-level coding language (e.g. Python, Java, C#)
• Strong understanding of supply chain and manufacturing processes
• Ability to translate ambiguous operational needs into clear process maps, system requirements, workflow logic, test plans, documentation, and user training
• Working knowledge of SQL and data structures, plus experience using Python, APIs, low-code automation, RPA, scripting, or similar tools
• Interest in and practical understanding of AI-enabled workflows
• Experience with software version control systems (e.g. Git) and continuous integration/continuous deployment software
• Strong documentation habits, attention to data quality, and ability to maintain disciplined systems

About the company

Antares is building mass-producible, inherently safe, deployable microreactors to make clean energy abundant. The team includes members from SpaceX, the White House, the Pentagon, and various national laboratories.