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Senior Modeling & Optimization Engineer

Mytra · Brisbane, CA, United States · On Site · Active · $175,000–$190,000 / year · Rippling ATS

Job facts

Field	Value
Company	Mytra
Title	Senior Modeling & Optimization Engineer
Normalized title	-
Department / team	610-Solutions
Location	Brisbane, CA, United States
Work model	On Site
Employment type	Full Time
Salary	$175,000–$190,000 / year
Status	active
ATS provider	Rippling ATS
Posted / first seen	2026-04-16 / 2026-05-29
Changed / last seen	2026-06-18 / 2026-06-18

Related slices

Page	What it contains	Open
Company jobs	Active postings from Mytra.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Rippling ATS.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in Brisbane.	Open
Department jobs	Active postings in 610-Solutions.	Open
Work model jobs	Active On Site postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	Mytra
Source	64cb6bf7-97b3-4bb3-9ede-912231767bcb
ATS provider	Rippling ATS

Description

company About Mytra: We’re creating an entirely new way to solve the most ubiquitous problem in industry - moving and storing material. We’re applying robotics and distributed software to create a new class of product for this $1T market. We’re focused on the supply chain industry first. The industry is in a massive bind with the continued growth of e-commerce, sharp rise in costs, and supply chain disruptions. What has been a “sleepy” industry for decades is now at the epicenter of sustaining the global economy. role 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. A defining part of the job is working across two modeling modes and knowing when to use each: fast, low-setup models for rapid design iteration early in a deal, and deeper, higher-fidelity validation when a decision warrants it. Balancing speed against fidelity — and building the tooling that lets others run the fast mode themselves — is central to the role. This role sits within the Modeling & Optimization team, the technical and analytical backbone of Mytra's commercial pipeline. M&O's mandate is to make the commercial org continuously better — and a central way we do that is by building tools that hand capability back to solutions engineers and designers so analytical work isn't gated on our team. You'll both deliver the hard analysis and work yourself out of being the bottleneck on the routine parts. What you’ll do: 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. 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. 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. 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. At Mytra, we build bots, but we hire humans. 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. The best outcomes come from diverse perspectives working together to build something meaningful and built to last Benefits Include: 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 Pay Notice Compensation for this position will be set based on the candidate's experience level and location. The posted salary band is applicable only to the San Francisco Bay Area and is subject to change.

Full job record

Job ID	cf2268497b1571967d16b577f0b516ad7040d57b
Org ID	168ed8bc-7466-4ca9-aabe-84a706d201cb
Source ID	64cb6bf7-97b3-4bb3-9ede-912231767bcb
Board ID	64cb6bf7-97b3-4bb3-9ede-912231767bcb
Provider	rippling
Provider Job Key	3ec32947-d1b9-4f03-a6d4-9b96bae72cca
Title	Senior Modeling & Optimization Engineer
Normalized Title	—
Status	active
Active	yes
Location Text	Brisbane, CA, United States
Department	610-Solutions
Team	—
Employment Type	full_time
Workplace Type	on_site
Remote Policy	—
Country	United States
Region	CA
City	Brisbane
Salary Raw	USD 175000-190000 YEAR
Salary Min	175,000
Salary Max	190,000
Salary Currency	USD
Salary Period	year
Source URL	https://ats.rippling.com/mytra/jobs/3ec32947-d1b9-4f03-a6d4-9b96bae72cca
Apply URL	https://ats.rippling.com/mytra/jobs/3ec32947-d1b9-4f03-a6d4-9b96bae72cca
First Seen At	2026-05-29 07:12:36Z
Last Seen At	2026-06-18 09:26:40Z
Last Checked At	2026-06-18 09:26:40Z
Last Changed At	2026-06-18 09:26:40Z
Inactive At	—
Source Posted At	2026-04-16 17:34:05Z
Source Updated At	—
Raw Payload Uri	s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=mytra/date=2026-06-18/2026-06-18T09-26-38-640Z-60cb17f7ad18f4b8cdba86adfed7a0400d9f59992a1ffdbe7bd65399c7757155.json

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      "role": "<meta><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:17pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">About the role</strong></b></h2><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">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. 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Balancing speed against fidelity — and building the tooling that lets others run the fast mode themselves — is central to the role.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">This role sits within the Modeling &amp; Optimization team, the technical and analytical backbone of Mytra's commercial pipeline. M&amp;O's mandate is to make the commercial org continuously better — and a central way we do that is by building tools that hand capability back to solutions engineers and designers so analytical work isn't gated on our team. You'll both deliver the hard analysis and work yourself out of being the bottleneck on the routine parts.</span></p><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">What you’ll do:</strong></b></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">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.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">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.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Analyze customer operational data — order profiles, SKU demand patterns, throughput characteristics, and work schedules — to inform system design and sizing decisions.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Design, build, and execute simulation models (discrete-event simulation, scoped scenario models) to validate warehouse designs and quantify system performance for customer proposals.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Develop optimization models and recommender logic to support layout decisions, fleet sizing, zoning strategies, and other design trade-offs.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">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.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">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.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Conduct structured experiments, sensitivity analyses, and design space explorations; communicate results and actionable recommendations to technical and non-technical audiences.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Build repeatable analytical workflows, scenario configurations, and validation frameworks that raise the baseline capability of the broader commercial engineering org.</span></li></ul><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">Ideal Candidates</strong></b></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">5+ years of industry or relevant experience.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">A track record of owning analytical work end-to-end and operating with autonomy — comfortable being accountable for delivery, not just contributing to it.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Strong proficiency in Python, including object-oriented design and building production-grade code.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience with at least two of: discrete-event simulation, mathematical optimization, statistical modeling, or applied data science.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">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.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">A bias toward building yourself out of repetitive work — you measure success partly by how much you've enabled others to self-serve.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Ability to design experiments, analyze data, and communicate insights clearly to technical and non-technical audiences.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Solid engineering fundamentals (systems thinking, algorithmic reasoning, version control, testing).</span></li><li style=\"font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Comfort working directly with customers or in customer-adjacent roles where your analysis informs high-stakes decisions.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:17pt;white-space:pre-wrap;\">Nice to have: </strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Professional experience in simulation engineering or modeling/operations research teams.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Familiarity with DES frameworks (SimPy, salabim, internal engines, or equivalent).</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Background in warehouse automation, robotics, manufacturing systems, industrial engineering, or related fields.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience with data visualization (Plotly, Matplotlib, Dash, etc.)</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"white-space:pre-wrap;\">Experience contributing to simulation platforms, modeling libraries, or internal tooling.</span></li></ul><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">A Final Note:</strong></b></h2><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">If this role excites you, we encourage you to apply — even if you don’t check every box. At Mytra, we build bots, but we hire humans. 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. The best outcomes come from diverse perspectives working together to build something meaningful and built to last</span></p><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">Benefits Include:</strong></b></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Competitive compensation and equity grants at a high-growth company backed by top-tier VCs</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Fully subsidized health coverage, including medical (baseline plans), dental, and vision for employees and dependents</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">401(k) plans and employer-subsidized life insurance</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Fully subsidized lunch and snacks at HQ—we eat and share stories together at the “long” table</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Generous PTO and company-paid holidays, including one week over the winter break so everyone can recharge together</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Voluntary pet insurance, Voluntary Life Insurance, Accident, Critical Illness, and Hospital Indemnity</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Fully subsidized tax advisory services and education to help you understand your equity</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Commuter benefits, including a up to $150 monthly commuter benefit</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Lively, modern combined office and lab space where we rapidly iterate through design, build, and test phases</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Fully equipped onsite gym and showers at headquarters</span></li></ul><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:17pt;white-space:pre-wrap;\">Pay Notice</strong></b></h2><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Compensation for this position will be set based on the candidate's experience level and location. The posted salary band is applicable only to the San Francisco Bay Area and is subject to change.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>",
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