Mytra
Senior Modeling & Optimization Engineer
Brisbane, CA · Senior
Sponsorship not specifiedDetected 26 days ago
PythonData ScienceData VisualizationStatisticsSupply ChainRoboticsResearch
About the role
- This role sits within the Modeling & Optimization team, the technical and analytical backbone of Mytra's commercial pipeline.
Responsibilities
- Own analytical delivery on customer engagements end-to-end - from operational data through to recommendations - with the judgment to scope depth appropriately and run engagements without close direction.
- Work across two modeling modes: fast, low-setup models for rapid design iteration, and deeper planner-in-the-loop validation for higher-fidelity de-risking - and exercise judgment on when each is warranted.
- Analyze customer operational data - order profiles, SKU demand patterns, throughput characteristics, and work schedules - to inform system design and sizing decisions.
- Design, build, and execute simulation models (discrete-event simulation, scoped scenario models) to validate warehouse designs and quantify system performance for customer proposals.
- Develop optimization models and recommender logic to support layout decisions, fleet sizing, zoning strategies, and other design trade-offs.
- Build and hand off self-serve tooling to the commercial org - so solutions engineers and designers can run routine analysis themselves and the team is not the bottleneck on every study.
- Conduct structured experiments, sensitivity analyses, and design space explorations; communicate results and actionable recommendations to technical and non-technical audiences.
- Build repeatable analytical workflows, scenario configurations, and validation frameworks that raise the baseline capability of the broader commercial engineering org.
- At Mytra, we build bots, but we hire humans.
- The best outcomes come from diverse perspectives working together to build something meaningful and built to last
Requirements
- Ideal Candidates 5+ years of industry or relevant experience.
- A track record of owning analytical work end-to-end and operating with autonomy - comfortable being accountable for delivery, not just contributing to it.
- Strong proficiency in Python, including object-oriented design and building production-grade code.
- Experience with at least two of: discrete-event simulation, mathematical optimization, statistical modeling, or applied data science.
Nice to have
- Professional experience in simulation engineering or modeling/operations research teams.
- Familiarity with DES frameworks (SimPy, salabim, internal engines, or equivalent).
- Background in warehouse automation, robotics, manufacturing systems, industrial engineering, or related fields.
- Experience with data visualization (Plotly, Matplotlib, Dash, etc.) Experience contributing to simulation platforms, modeling libraries, or internal tooling.
- A Final Note: If this role excites you, we encourage you to apply - even if you don't check every box.
- We value thoughtful challengers who communicate with clarity and respect, and we're lifelong learners committed to getting better every day.
- We move fast, learn faster, and show up for each other under pressure.
Compensation
- The posted salary band is applicable only to the San Francisco Bay Area and is subject to change.
Benefits
- Benefits Include:
Company info
- Make sense of data across customers and solutions, and help translate what we see on the customer side into product requirements - so this signal reaches product without solutions engineers carrying the full analytical load.
This listing is sourced directly from Mytra's careers page and normalized into a canonical job model.