Remote job
Software Engineer, Operations Research
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About this role
Role overview Build quantitative models that help an on-demand electronics manufacturing operation make better day-to-day decisions. The work spans factory scheduling, production flow, order costing, customer lead times and inventory planning, with models integrated into operational systems and checked against real outcomes.
Responsibilities - Develop schedules for orders, production panels and machines to improve throughput and delivery reliability. - Simulate production flow, identify bottlenecks and estimate the impact of added equipment or process changes. - Estimate order costs across labor, machine time and materials to inform pricing and lead-time decisions. - Model stock levels, replenishment timing and shortage risk for components and consumables. - Deploy models into planning and quoting systems, then compare their predictions with actual operations.
Requirements - A quantitative background in operations research, applied mathematics, statistics, quantitative finance, economics or a related field. - Evidence of building models that have influenced real decisions. - Experience with optimization methods such as linear or integer programming, constraint programming or heuristics, and judgment about when simpler rules are appropriate. - Ability to build, calibrate and assess simulations or forecasts for complex systems. - Strong Python and SQL skills, with the ability to write dependable code others can use. - Willingness to use coding agents and take responsibility for the resulting work; curiosity about physical manufacturing and readiness to visit facilities in the US and UK.
Nice to have - Manufacturing experience is welcome but not required. Related experience could include pricing risk, portfolio optimization or demand forecasting. - Familiarity with OR-Tools, PostgreSQL, Snowflake, dbt or Dagster.
Benefits and work setup - Work remotely, or from offices in London or Cambridge, with regular visits to manufacturing facilities in the UK and US. - Compensation depends on
experience: £80,000–£125,000 in the UK or $125,000–$250,000 in the US, plus equity.