Careers

Work on software that moves a batch from dosing to pallet.

Tinteon is small and at the design stage. The roles below are the ones the first design-partner deployments need. They open as the cohort forms; there is no openings count to inflate.

Tell us what you want to own About Tinteon

Four role shapesPlant floor and GPUThe standard is not a variable

run_scn_01 · agent graph · scenario 10 nodes · 1 approval gate
01 · orchestrator order.receive ✓ SUCCEEDED 02 · orchestrator twin.simulate ✓ SUCCEEDED 03 · dose_disperse disperse.mill ✓ SUCCEEDED 04 · letdown_thin letdown.thin ✓ SUCCEEDED 05 · tint_color tint.match ✓ SUCCEEDED 06 · defect_inspect inspect.spectral ✓ SUCCEEDED 07 · orchestrator approve.human ◆ APPROVAL 08 · filter_fill filter.fill ✓ SUCCEEDED 09 · robot_handling handle.palletize ✓ SUCCEEDED 10 · quality_conf release.genealogy ✓ SUCCEEDED

Illustrative scenario: Plant run · one architectural deep tint base from dosing to pallet · bead mill, let-down tank, tint station, filling line. Not a measured run.

Roles

Where we need people

Each role is written as a shape, not a job ad with a requisition number.

Color, hiding-power, contamination and fill models at plant rate

Founding engineer · spectral and vision

Own the perception pipeline: spectral color-match scoring, color and gloss and hiding-power models, seed and foam and fill-fault detection, DeepStream and TensorRT on Jetson, Triton serving, and the latency budget that makes a hold decision useful on a filling line.

What you bring

  • Shipped computer vision or spectral models to production hardware
  • Comfort with CUDA, TensorRT, DeepStream, Triton and edge deployment
  • Patience for calibration against a spectrophotometer and a lab

Connectors to mills, dispensers, rheometers, filling lines and MES

OT integration engineer

Build the connectors that read mills, let-down tanks, tint dispensers, spectrophotometers and filling lines and write guarded setpoints back, without ever touching an interlock, a customer standard or a VOC limit. Own the allow-lists, rate limits and the audit record of every write.

What you bring

  • Industrial automation experience in coatings, chemicals or another regulated process industry
  • PLC, SCADA, historian and MES integration
  • Respect for customer standards and permit limits

Dispersion, rheology and color models

Simulation engineer · batch twin

Build Coatwin: GPU-accelerated spectral color-match prediction and dispersion and rheology simulation, surrogates that run at the edge, and the calibration that keeps the twin honest against as-made batches.

What you bring

  • Process simulation, color science or physics-ML background, ideally with GPU acceleration
  • Omniverse, Modulus or comparable tooling
  • A taste for validating models against messy plant data

The craft the models learn from

Coatings process technologist

Translate between the plant and the platform: define what in-spec means per formula and standard, review agent recommendations in assist mode, design the quality and ROI gates, and sit with design partners at the mill, the tint station and the filling line.

What you bring

  • Years in coatings manufacturing: dispersion, let-down, tinting, color-matching or filling
  • ISO 9001, VOC and REACH and customer color-standard fluency
  • Willingness to teach a model what you know
How we work

Six things about working here

Trust before autonomy

Grounding, audit, human-in-the-loop and graduated control come before any write to a line.

Every correction trains the system

A color-matcher's or formulator's correction is a labeled training event, not a complaint.

Land narrow, expand relentlessly

One line and one number first. The plant and the group follow the number.

The standard is not a variable

Customer color standards, VOC limits and batch release stay with the plant's quality procedures and its people.

Tenant isolation is a design rule

Formulas and color standards never cross a customer boundary. On-prem is an option, not an exception.

Evaluation gates every change

Golden datasets and model-as-judge evaluations gate model and prompt changes in CI.

Run timeline

What you would be building

Every Tinteon run is an ordered, inspectable sequence. This is run_scn_01, an illustrative scenario: Plant run · one architectural deep tint base from dosing to pallet · bead mill, let-down tank, tint station, filling line. Scenario complete · batch inside spec · one human approval at the tint station.

run_scn_01 scenario · not measured SUCCEEDED
  1. 01 order.receive SUCCEEDED 0.8 s

    Plant Orchestrator · Pulled the formula, the customer color standard and its tolerance, the viscosity and solids spec, the raw-material lot records and the product's VOC limit from the coatings MES and the lab system; locked the target envelope for the run.

  2. 02 twin.simulate SUCCEEDED 41 s

    Plant Orchestrator · Simulated 24 candidate dispersion, let-down and tint paths on the Coatwin as-made twin; ranked them on predicted Delta-E, fineness margin, viscosity, solvent use, energy and takt, and discarded every candidate that moved outside the customer tolerance or the VOC limit.

  3. 03 disperse.mill SUCCEEDED 1 h 48 m

    Dose-and-Disperse · Held mill energy, media temperature and residence to the predicted fineness curve from mill power and spectral reflectance, trimming inside the formula window instead of grinding to a fixed time and checking the Hegman gauge afterward.

  4. 04 letdown.thin SUCCEEDED 26 m

    Letdown-and-Thin · Predicted viscosity from inline rheology, temperature and solids during let-down and converged on spec with two resin additions and one solvent addition instead of the standing four, inside the formula window; no stability risk was flagged.

  5. 05 tint.match SUCCEEDED 14 m

    Tint-and-Color · Read the batch's spectral curve against the customer standard, predicted the colorant additions and dosed the first pass; the draw-down read inside tolerance on Delta-E after one addition, with one retint still available under the declared limit.

  6. 06 inspect.spectral SUCCEEDED continuous

    Defect-and-Inspect · 12 camera and spectral streams at the plant edge: color, gloss, hiding power, fineness and seed checks on the batch, fill-weight and label checks on every pail; two seeds were attributed to one filter cartridge and Filter-and-Fill scheduled the change.

  7. 07 approve.human APPROVAL 2 m 10 s

    Plant Orchestrator · The lowest-solvent candidate wanted a second colorant addition beyond the declared retint limit to tighten Delta-E further. Held for the shift color-matcher, who kept the customer tolerance untouched and approved one bounded addition with a tighter draw-down check.

  8. 08 filter.fill SUCCEEDED continuous

    Filter-and-Fill · Filtered through the fresh cartridge and filled pails to exact weight using fill-weight and foam feedback from inspection; the filler corrected upstream instead of rejecting downstream.

  9. 09 handle.palletize SUCCEEDED continuous

    Robot-and-Handling · Moved filled pails to the pallet inside the declared safety zone with a simulation-validated handling policy; one pallet-pattern change was executed after the zone check cleared.

  10. 10 release.genealogy SUCCEEDED 58 s

    Quality-and-Conformance · Batch released: raw-material lots, grind profile, let-down moves, colorant additions and spectral curves, inspection outcomes, VOC and solvent use and every human decision written to the batch genealogy and checked against spec.

Process

How hiring runs while the team is small

  1. A conversation. What you have built or run, and which of the four shapes fits.
  2. Something real. A working session on a coatings-plant problem from the product: a bead mill, a let-down tank, a tint station or a filling line.
  3. The team. Time with the people you would work with, on the floor where possible.
  4. A decision. Fast, in plain language, either way.
Accelerated computing

Physical AI, at the plant edge

A tint station reads a draw-down in seconds and a filling line moves hundreds of pails an hour, so perception has to be local and fast. Tinteon runs GPU inference at the plant edge and keeps training, simulation and optimization in the cloud, in a private cloud or on-prem. Items marked planned are on the roadmap, not running.

Jetson Orin / Thor · DeepStream · TensorRT · Holoscan

Edge perception

8 to 24 camera and sensor streams per line through DeepStream pipelines and TensorRT color, gloss, hiding-power, contamination and fill models; Holoscan synchronizes spectrophotometers, line-scan cameras, inline rheology, mill power and fill-weight streams at the plant edge. Design target: 50 to 150 ms per frame.

Triton · NIM

Model serving

Vision, spectral, time-series and coatings-knowledge models behind one plant router, with version routing by product family, colorant system and line. Design target: sub-second recommendations for operators, sub-250 ms holds for filling and inspection.

DGX / HGX · NeMo

Training (planned)

Spectral color-match, dispersion and fineness, rheology and contamination models fine-tuned on batch telemetry, images and supervised color-matcher corrections; NeMo-based coatings reasoning. Design target: 2,000 to 5,000 GPU-hours per major model family.

Omniverse · Modulus · OVX

Digital twin (planned)

The Coatwin as-made batch twin: GPU-accelerated spectral color-match prediction and dispersion and rheology simulation run before the batch, for color and grade changes and batch planning when a trial is expensive. Design target: 10,000 to 100,000 scenarios per design partner.

Cosmos · Omniverse Replicator

Synthetic data (planned)

Rare off-color, seed, contamination, foam, label, hiding-power and fill-fault cases generated with domain randomization, marked synthetic and validated against real plant data before use.

cuOpt

Optimization

Color-family batching, wash and changeover minimization, solvent and energy allocation and filling-line takt, recomputed on the GPU daily and intra-shift when the plant is disrupted.

RAPIDS

Data engineering

Batch-genealogy, quality, equipment and rework telemetry ETL for feature generation, color correlation and cross-plant benchmarks on the GPU.

Isaac · Jetson

Robotic handling

Drum, pail, tote and pallet handling, with perception and motion policies built and validated in simulation before they move a container.

Autonomy

Four stages, set per loop

A plant does not go from manual to bounded control in one step. Tinteon makes the stage explicit per loop, auditable and reversible at any time, and some decisions never leave the person.

Autonomy stages and the human role at each
StageWhat the agent doesWhat the person doesWhen
ShadowPredicts fineness, viscosity, Delta-E, hiding power, contamination and fill faults; writes nothingRuns the plant as today; compares predictions to the lab, the spectrophotometer and PLC outcomesFirst phase with every design partner
AssistRecommends bounded mill, let-down, colorant, filtration and fill moves with the evidenceA formulator, color-matcher or quality manager approves or rejects each oneAfter accuracy is proven against the baseline
BoundedWrites low-risk dispersion, tinting and inspection setpoints inside documented formula, tolerance, VOC, equipment and rollback limitsApproves anything above the limits; reviews the shift recordAfter the quality and ROI gates agreed up front
ExceptionsEscalates anything outside its envelope, any move against a customer standard or VOC limit, and release decisionsAlways decides these; the agent never doesPermanent
From the plant floor

Who this is built for

The three people in a coatings plant whose week changes when the process runs itself, and what each of them needs from Tinteon.

Economic buyer

Plant or Operations Director

Owns production rate, quality, rework and yield, waste, solvent and energy, and compliance. Wants a plant that holds color and spec at higher rate with fewer interventions, and a number that justifies the spend.

Champion

Formulation or Process Engineer and Color-Matcher

Owns formulas, dispersion, tint and color-match process windows and yield. Approves and corrects the agents in assist mode; those corrections train the models.

Approver

Quality or Compliance Manager

Owns product quality under ISO 9001 and customer color standards, color and contamination conformance, VOC and REACH compliance, and batch genealogy. Needs every action grounded, cited and written to an immutable record.

IT/OT and EHS leads approve the deployment. There are no customer quotes on this site yet; design partners will speak for themselves when they choose to.

Guardrails

An agent that can move a setpoint needs a leash

Tinteon writes to production equipment in a chemical plant. Every capability is scoped, every write is policy-checked, every output is cited, and every action is written to an append-only audit log the plant owns.

  • Bounded action space. Each agent can only write to an explicit tag allow-list, inside per-tag rate, magnitude and retint limits, at the autonomy stage the plant has set.
  • Standards and limits are read, never written. The customer color standard and its tolerance, the VOC and solvent limits under the plant's permit and the batch release decision stay with the quality system and the people who own it.
  • Policy engine before every write. Autonomy stage, interlock state, product, formula, shift and operator presence are evaluated before a setpoint or a colorant addition moves.
  • Grounded and cited. Every recommendation carries a citation to the formula, color standard, spec or procedure it relied on. Retrieval is tenant-isolated and permission-aware.
  • Immutable audit log. Append-only, exportable and retained on the plant's own storage, aligned to ISO 9001, VOC and REACH and customer color-standard record-keeping.
  • Hard fallback. If the edge node, the network or a model stops, the plant keeps running on its existing mill, dispenser and filling-line control and interlocks.
  • Tenant and IP isolation. Formulas, color standards, raw-material data and tolerance models never cross a customer boundary. On-prem deployment available.

Assurance posture

ItemScopeStatus
SOC 2 Type ICloud control plane QUEUED Roadmap, first 6 months
SOC 2 Type IICloud control plane QUEUED Roadmap, 6 to 12 months
ISO 9001 · VOC and REACH · customer color standardsGrounding and record-keeping RUNNING Design basis for retrieval and the audit log
Per-tenant isolationData, memory, models RUNNING Design rule
On-prem deploymentFormula-sensitive producers RUNNING Design option

Tinteon supports your quality and VOC records. It is not a certification and it does not replace your quality system or your permit.

Read the security overview

FAQ

Straight answers

The questions plant directors, formulators, color-matchers and quality managers ask in the first meeting.

Only at the autonomy stage your plant has set, and only to an explicit allow-list of low-risk loops inside documented limits. Every design partner starts in shadow mode, where Tinteon predicts and writes nothing. Assist mode follows, where a formulator or color-matcher approves each recommendation. Bounded autonomy on dispersion, tinting and inspection loops comes after the quality and ROI gates agreed up front.

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