Antares Nuclear
Senior-Staff Enterprise Software Engineer
$160K–$235K
Los Angeles · Staff · Full-time · Posted Oct 29, 2026
- Experience
- 5+ years in the listed or similar enterprise-workflow-supporting roles.
- Education
- Bachelor’s degree in engineering, computer science, math, physics or related fields
- Visa sponsorship
- Applicant must be a U.S. citizen or national, lawful permanent resident, refugee, or asylee, or be eligible to obtain the required authorizations from the U.S. Department of State.
About the job
Own and improve enterprise systems and AI-enabled workflows connecting supply chain, manufacturing, quality, engineering, and finance operations.
What you'll do
- Translate operational requirements into workflows, data models, automations, integrations, and procedures.
- Administer and improve manufacturing, procurement, supplier, and inventory systems; maintain data quality and support implementations.
- Develop human-reviewed AI workflows, anomaly detection, and testing to surface commitments, risks, exceptions, and follow-up actions.
What they ask for
- 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 workflows.
Nice to have
- Hands-on experience administering or implementing an enterprise operations system such as MES, ERP/MRP, procurement/purchasing, supplier management, inventory/materials, QMS, PLM, or workflow automation platforms.
- Software development experience in a high-level coding language (e.g. Python, Java, C#); working knowledge of SQL and experience with APIs, automation, or system integrations.
Pay
USD 160K – USD 235K base salary
Tools
SQL, Python, APIs, Robotic Process Automation, MES, ERP/MRP, Git, Slack/Teams
AI focus
Build agentic and AI-enabled workflows for tracking supplier and operational activity, summarizing communications, extracting commitments, proposing actions, flagging gaps, and escalating exceptions with human review; implement anomaly detection and data pipelines for AI-enabled processing.
Model-written summary · the original posting is authoritative