Senior Modeling & Optimization Engineer

About the role

You'll own analytical delivery on Mytra's customer engagements — using operations research methods (simulation, optimization, and data science) to solve customer design problems and validate warehouse automation solutions. This is a delivery-owner role, not a support seat: you'll take engagements end-to-end — analyzing operational data, modeling system behavior, running design experiments, and translating findings into recommendations that land deals and shape what Mytra builds next — with the autonomy and judgment to run them without close direction.

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.
• 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.
• 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.

Requirements

• 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.

Qualifications

• A range, and an appetite for it: this role flexes across analysis, tooling, and process as the commercial org's needs evolve, and you're energized rather than frustrated by work that changes shape.
• A bias toward building yourself out of repetitive work — you measure success partly by how much you've enabled others to self-serve.
• Ability to design experiments, analyze data, and communicate insights clearly to technical and non-technical audiences.
• Solid engineering fundamentals (systems thinking, algorithmic reasoning, version control, testing).
• Comfort working directly with customers or in customer-adjacent roles where your analysis informs high-stakes decisions.

Skills

• 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.

Benefits

• Competitive compensation and equity grants at a high-growth company backed by top-tier VCs.
• Fully subsidized health coverage, including medical (baseline plans), dental, and vision for employees and dependents.
• 401(k) plans and employer-subsidized life insurance.
• Generous PTO and company-paid holidays, including one week over the winter break so everyone can recharge together.
• Voluntary pet insurance, Voluntary Life Insurance, Accident, Critical Illness, and Hospital Indemnity.
• Commuter benefits, including a up to $150 monthly commuter benefit.
• Lively, modern combined office and lab space where we rapidly iterate through design, build, and test phases.
• Onsite gym and showers at headquarters.