- Robot type
- Drone · Defense
- Location
- Costa MesaCaliforniaUSA
- Job type
- Hardware
- Posted
- Sep 4, 2026
- Salary
- $146,000–$194,000 a year
Full-time
Senior Industrial Engineer, Labor Standards
Job description
Within Manufacturing, Industrial Engineering delivers labor standards as an internal service: validated, defensible time standards that quantify the true labor content (cycle time) of every manufacturing operation. Done right, labor standards are the foundation that every other IE and production capability builds on — line balancing, capacity planning, staffing models, cost estimation, and continuous improvement all depend on knowing how long work should take = what good looks like.
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.
Anduril's Manufacturing Design Team is seeking a Senior Industrial…
Job responsibilities
- Own Anduril's enterprise labor standards capability as a long-lived, foundational asset — architecting it for consistency, traceability, and organizational adoption rather than ad-hoc studies.
- Define the enterprise standard for how time studies are conducted: methodology selection (stopwatch, MODAPTS, MTM, video analysis, work sampling), observation protocols, sample sizing, rating and leveling, allowance…
- Design and deploy standardized tools and formats for time study execution — templates, data collection forms, analysis workbooks, and reporting formats — so that studies are conducted and documented consistently across…
- Establish and maintain a centralized labor standards repository aligned with existing MES / Tech systems — the single source of truth for all time studies, element-level standards, and labor content data — with…
- Own the integration between labor standards and MES: define the business process for how validated times are matched to work instruction details, loaded into the MES system, and consumed by production planning,…
- Define when and how time studies are triggered across the NPI maturity plan (MDP) — from initial engineering estimates through pilot builds to validated production standards — establishing the cadence and criteria for…
- Build the business process for maintaining labor standards through engineering change (ECO): how an ECO triggers a standards review, how affected operations are identified, how re-study or adjustment is scoped, and how…
- Conduct and lead the highest-stakes time studies and train BL embedded IEs: new production line stand-ups, rate-readiness validations, cost reduction initiatives, make-vs-buy analyses, and labor content challenges from…
Job requirements
- 6+ years of experience developing and maintaining labor standards in a fast-paced manufacturing environment, with hands-on proficiency in multiple time study methodologies (stopwatch time study, MODAPTS, MTM,…
- Deep understanding of time study fundamentals: element breakdown, performance rating/leveling, allowance determination (PFD), sample size calculation, and the statistical basis for defensible standards.
- Experience designing and deploying standardized time study processes, tools, and templates across an organization — not just conducting studies, but building the system that scales the capability.
- Demonstrated experience integrating labor standards with MES, ERP, or production planning systems — loading times matched to work instructions/routings and maintaining accuracy as products and processes change.
- Strong understanding of how labor standards connect to downstream IE deliverables: line balancing, capacity planning, staffing models, and cost estimation.
- Ability to read technical documentation including work instructions, assembly drawings, process specifications, and manufacturing procedures for electronic, mechanical, and electromechanical assembly.
- A track record of building tools, processes, or systems that others actually used and maintained — evidence you think about organizational adoption, governance, and longevity, not just the study itself.
- Ability to work in ambiguity and communicate measurement uncertainty clearly, translating technical output into a clear recommendation for non-technical decision-makers.
