<?xml version="1.0" encoding="UTF-8"?>
<source>
  <publisher>ANDYGROVE.SYSTEMS — High Output Operations for Human + Agent Teams</publisher>
  <publisherurl>https://andygrove.systems</publisherurl>
  <lastBuildDate>Sun, 15 Nov 2026 17:42:00 GMT</lastBuildDate>
  <job>
    <title><![CDATA[Industrial Engineer & Multi-Agent Queueing / Critical-Path Architect (Part-Time Remote R&D Pod)]]></title>
    <date><![CDATA[2026-11-15]]></date>
    <referencenumber><![CDATA[GROVE-IE-QUEUE-01]]></referencenumber>
    <url><![CDATA[https://andygrove.systems/pod/pod-01]]></url>
    <company><![CDATA[ANDYGROVE.SYSTEMS]]></company>
    <city><![CDATA[Remote]]></city>
    <country><![CDATA[Worldwide]]></country>
    <jobtype><![CDATA[Part-Time Remote R&D Pod (10–25 hrs/wk)]]></jobtype>
    <salary><![CDATA[$25–$45 / hr USD]]></salary>
    <education><![CDATA[Industrial Engineering, Operations Research, BizOps / Program Management, or Process & Quality Engineering]]></education>
    <description><![CDATA[Model hybrid human + agent pipelines as stochastic networks with service rates r_i and visit ratios v_i. Schedule critical-path limiting steps, cap reviewer utilization u < 0.82, and prevent Kingman queue explosions. Canonical Law: Little (1961): L = λW,   Θ_sys = min(λ, min_i N_i r_i / v_i). Skills: Industrial Engineering, Little’s Law (L = λW), Kingman Queueing, Critical-Path Scheduling, Python / SQL. Free upskilling preprints: https://andygrove.systems/preprints. Apply via https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8?prefill_Source+Site=andygrove.systems&hide_Source+Site. Independent platform; not affiliated with Intel Corporation or the Grove family.]]></description>
  </job>
  <job>
    <title><![CDATA[Process & Quality Engineer — L0–L3 TRM Ladder & Entry-Stage Eval Gates (Part-Time Remote R&D Pod)]]></title>
    <date><![CDATA[2026-11-15]]></date>
    <referencenumber><![CDATA[GROVE-TRM-EVAL-02]]></referencenumber>
    <url><![CDATA[https://andygrove.systems/pod/pod-02]]></url>
    <company><![CDATA[ANDYGROVE.SYSTEMS]]></company>
    <city><![CDATA[Remote]]></city>
    <country><![CDATA[Worldwide]]></country>
    <jobtype><![CDATA[Part-Time Remote R&D Pod (10–25 hrs/wk)]]></jobtype>
    <salary><![CDATA[$20–$45 / hr USD]]></salary>
    <education><![CDATA[Industrial Engineering, Operations Research, BizOps / Program Management, or Process & Quality Engineering]]></education>
    <description><![CDATA[Build lowest-value-stage entry filters, statistical process control (SPC) lot-sampling plans, weekly trace-review rubrics, and Wilson-calibrated L0–L3 autonomy gates. Canonical Law: TRM_{1−α} = WilsonLowerBound(p̂_eval, n, z_{1−α}) → {L0, L1, L2, L3}. Skills: Process & Quality Engineering, Entry-Stage Eval Filters, L0–L3 TRM Ladder, SPC Acceptance Sampling, Trace Review Audits. Free upskilling preprints: https://andygrove.systems/preprints. Apply via https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8?prefill_Source+Site=andygrove.systems&hide_Source+Site. Independent platform; not affiliated with Intel Corporation or the Grove family.]]></description>
  </job>
  <job>
    <title><![CDATA[Operations Researcher — Human + Agent Handoff & Solver Optimization (Part-Time Remote R&D Pod)]]></title>
    <date><![CDATA[2026-11-15]]></date>
    <referencenumber><![CDATA[GROVE-OR-HANDOFF-03]]></referencenumber>
    <url><![CDATA[https://andygrove.systems/pod/pod-03]]></url>
    <company><![CDATA[ANDYGROVE.SYSTEMS]]></company>
    <city><![CDATA[Remote]]></city>
    <country><![CDATA[Worldwide]]></country>
    <jobtype><![CDATA[Part-Time Remote R&D Pod (10–25 hrs/wk)]]></jobtype>
    <salary><![CDATA[$25–$45 / hr USD]]></salary>
    <education><![CDATA[Industrial Engineering, Operations Research, BizOps / Program Management, or Process & Quality Engineering]]></education>
    <description><![CDATA[Formulate step-level model routing, Human-LLM-OR solver decomposition, and congestion-aware human handoff policies using Markov decision processes and integer optimization. Canonical Law: min_{x, π} ∑ c_i x_i + c_esc P(escape | π)   s.t.   u_i = λ_i / (N_i r_i) < 1. Skills: Operations Research, Human-LLM-OR Solvers, Stochastic Networks, Step-Level Routing, Cost-Throughput Modeling. Free upskilling preprints: https://andygrove.systems/preprints. Apply via https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8?prefill_Source+Site=andygrove.systems&hide_Source+Site. Independent platform; not affiliated with Intel Corporation or the Grove family.]]></description>
  </job>
  <job>
    <title><![CDATA[BizOps & Technical Program Manager — Paired Indicators, OKRs & Trace Cadence (Part-Time Remote R&D Pod)]]></title>
    <date><![CDATA[2026-11-15]]></date>
    <referencenumber><![CDATA[GROVE-BIZOPS-OKR-04]]></referencenumber>
    <url><![CDATA[https://andygrove.systems/pod/pod-04]]></url>
    <company><![CDATA[ANDYGROVE.SYSTEMS]]></company>
    <city><![CDATA[Remote]]></city>
    <country><![CDATA[Worldwide]]></country>
    <jobtype><![CDATA[Part-Time Remote R&D Pod (10–25 hrs/wk)]]></jobtype>
    <salary><![CDATA[$20–$45 / hr USD]]></salary>
    <education><![CDATA[Industrial Engineering, Operations Research, BizOps / Program Management, or Process & Quality Engineering]]></education>
    <description><![CDATA[Partner with COO offices to ship 1-Page Agent Line Audits, paired leading-indicator dashboards, single-owner agent governance, weekly trace 1-on-1 cadences, and inflection-point OKR resets. Canonical Law: Paired Indicators: Speed(tasks/hr) × Counter-Indicator(eval error & escape rate). Skills: BizOps & Program Management, Paired Leading Indicators, Hybrid Fleet OKRs, 1-Page Agent Line Audit, Inflection-Point Governance. Free upskilling preprints: https://andygrove.systems/preprints. Apply via https://baserow.io/form/5dGFgfNPjhbG9qpSw8A3yGNK72vJQkGmkr__j_qmyn8?prefill_Source+Site=andygrove.systems&hide_Source+Site. Independent platform; not affiliated with Intel Corporation or the Grove family.]]></description>
  </job>
</source>