Senior Modeling & Optimization Engineer

Mytra•Brisbane, CA

About The Position

You'll be an analytical engineer embedded in Mytra's commercial organization, using operations research methods — simulation, optimization, and data science — to solve customer design problems and validate warehouse automation solutions. You'll work directly on customer engagements: analyzing operational data, modeling system behavior, running design experiments, and translating findings into recommendations that land deals and shape what Mytra builds next. This role supports commercial systems & enablement, which serves as the technical and analytical backbone of Mytra's commercial pipeline

Requirements

5+ years of industry or relevant experience.
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.
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

Nice To Haves

Professional experience on a modeling, simulation, operations research, or applied data science team.
Familiarity with DES frameworks (SimPy, salabim, or equivalent).
Background in warehouse automation, robotics, manufacturing systems, industrial engineering, or supply chain.
Experience with data visualization tools (Plotly, Matplotlib, Dash, etc.).
Experience building internal tools, modeling libraries, or analytical workflows used by others.
Exposure to optimization solvers or libraries (OR-Tools, Gurobi, PuLP, scipy.optimize, etc.).

Responsibilities

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.
Embed directly in customer engagement teams alongside solutions engineers and account owners; translate analytical findings into deliverables that are clear to both internal stakeholders and customers.
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.
Contribute to the team's shared tooling — modeling libraries, data pipelines, visualization templates, and automation — with an emphasis on enabling others to self-serve over time.

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
Fully subsidized lunch and snacks at HQ—we eat and share stories together at the “long” table
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
Fully subsidized tax advisory services and education to help you understand your equity
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
Fully equipped onsite gym and showers at headquarters