Careers

Work on software that moves dough through a plant.

Doughex 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.

Four role shapesPlant floor and GPUFood safety first

run_scn_01 · agent graph · scenario 10 nodes · 1 approval gate
01 · orchestrator order.receive ✓ SUCCEEDED 02 · orchestrator twin.simulate ✓ SUCCEEDED 03 · dose_mix mix.dose ✓ SUCCEEDED 04 · ferment_proof proof.hold ✓ SUCCEEDED 05 · makeup_deposit deposit.trim ✓ SUCCEEDED 06 · orchestrator approve.human ◆ APPROVAL 07 · bake_cool bake.zone ✓ SUCCEEDED 08 · defect_inspect inspect.line ✓ SUCCEEDED 09 · robot_handling handle.pack ✓ SUCCEEDED 10 · quality_conf release.genealogy ✓ SUCCEEDED

Illustrative scenario: Plant run · one bread line, flour-lot change at the silo · shared oven. Not a measured run.

Roles

Where we need people

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

Vision and sensing models at the line

Founding engineer · plant-edge perception

Own the camera and sensor pipeline: colour, shape, foreign-body and seal vision, inline moisture and weight fusion, TensorRT and Triton serving on Jetson, and the latency budget that makes a reject decision useful.

What you bring

  • Shipped computer vision models to production hardware
  • Comfort with CUDA, TensorRT, Triton and edge deployment
  • Patience for calibration against a checkweigher and a QA bench

Connectors to PLC, SCADA, MES and QA systems

OT integration engineer

Build the connectors that read mixers, proofers, dividers and ovens and write guarded setpoints back, without ever touching an interlock. Own the allow-lists, rate limits and the audit record of every write.

What you bring

  • Industrial automation experience in food or another regulated process industry
  • PLC, SCADA, historian and MES integration
  • Respect for critical control points

CFD, heat and mass transfer, dough rheology

Simulation engineer · process twin

Build Bakesim: GPU-accelerated simulation of oven thermal zones and airflow, proof dynamics and dough deformation, surrogates that run at the edge, and the reconciliation that keeps the twin honest against real runs.

What you bring

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

The craft the models learn from

Bakery process technologist

Translate between the plant and the platform: define what in-spec means per product, review agent recommendations, design the food-safety and ROI gates, and sit with design partners on the floor.

What you bring

  • Years in industrial baking: mixing, proofing, depositing or ovens
  • HACCP, BRCGS and quality-system 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 process engineer's correction is a labelled training event, not a complaint.

Land narrow, expand relentlessly

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

Food safety is not a variable

Kill steps, metal detection, allergen changeover and release decisions stay with the plant's HACCP plan and its people.

Tenant isolation is a design rule

Recipes and customer specs 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 Doughex run is an ordered, inspectable sequence. This is run_scn_01, an illustrative scenario: Plant run · one bread line, flour-lot change at the silo · shared oven. Scenario complete · every stage inside spec · one human approval at the oven.

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

    Plant Orchestrator · Pulled the product spec, the recipe, the HACCP plan with its bake kill-step and metal-detection control points, the allergen status of the line and the new flour lot's certificate from MES and the lab system; locked the target envelope for the run.

  2. 02 twin.simulate SUCCEEDED 38 s

    Plant Orchestrator · Simulated 24 candidate profiles across mix, proof, deposit and oven on the Bakesim as-baked twin for the new flour lot; ranked them on colour and moisture margin, weight margin, energy per unit and takt, and discarded every candidate that thinned the bake kill-step margin.

  3. 03 mix.dose SUCCEEDED 12 m 40 s

    Dose-and-Mix · Adjusted hydration and mix energy for the new lot's absorption so dough temperature and development landed on target; dough state was handed to the proofer with its predicted rise curve.

  4. 04 proof.hold SUCCEEDED 58 m

    Ferment-and-Proof · Predicted the rise curve from inline height, temperature, humidity and CO2, then trimmed proofer humidity and dwell so rise and volume landed on target instead of running fast on the fresher lot.

  5. 05 deposit.trim SUCCEEDED continuous

    Makeup-and-Deposit · Fused checkweigher readings with dough state and divider feedback and trimmed the divider in real time so portion weight sat at the minimum safe margin above the declared weight, with the underweight guardrail armed.

  6. 06 approve.human APPROVAL 1 m 36 s

    Plant Orchestrator · The twin's lowest-energy candidate wanted a zone-three temperature outside the site's bounded envelope. Held for the shift process engineer, who approved the step with a tighter colour alarm.

  7. 07 bake.zone SUCCEEDED continuous

    Bake-and-Cool · Ran the oven against the twin's colour and moisture prediction; stepped zone temperatures and band speed toward the minimum-energy profile while predicted crust colour and crumb moisture stayed inside spec and the core-temperature kill step was verified on every reading.

  8. 08 inspect.line SUCCEEDED continuous

    Defect-and-Inspect · 12 camera streams at oven exit, cooler exit and packing at the plant edge: colour, shape, holes, cracks, foreign-body and seal checks on every unit; two pale-top rejects were attributed to a draught at zone one and the oven agent was notified.

  9. 09 handle.pack SUCCEEDED continuous

    Robot-and-Handling · Robotic depanning, tray transfers and packaging handling paced to the line, with rejected units diverted off the belt and the safe zone around each cell monitored.

  10. 10 release.genealogy SUCCEEDED 1 m 05 s

    Quality-and-Conformance · Lot released: flour lot, recipe, mix and proof setpoints, portion weights, oven profile, kill-step readings, inspection rejects and every human decision written to the genealogy and checked against spec and the HACCP plan.

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 bakery problem from the product: a proofer, a depositor, an oven or a packing 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

Dough is alive and the lines never stop, so perception has to be local and fast. Doughex runs GPU inference at the plant edge and keeps training, simulation and optimisation in the cloud, in a private cloud or on-prem. Items marked planned are on the roadmap, not running.

Jetson Orin / Thor · DeepStream · Holoscan · TensorRT

Edge perception

8 to 24 cameras per line plus inline moisture, weight, thermal and metal or X-ray streams. Design target: sub-100 ms reject decisions, 10 to 60 FPS per station, offline-tolerant operation at the plant edge.

Triton · NIM

Model serving

Bake-prediction, defect, weight, shelf-life and bakery-reasoning models behind one orchestrator, with version routing by product, line and station. Plants run many lines, SKUs and models at once.

DGX / HGX · NeMo · RAPIDS

Training (planned)

Vision, time-series, multimodal and bakery-process models fine-tuned from batch telemetry, images, engineer corrections and lab outcomes. Initial design target: 50 to 200 GPU-hours per product family per release.

Omniverse · Modulus · OVX

Digital twin (planned)

GPU-accelerated oven CFD, proof heat and humidity dynamics, dough rheology and deformation, and robot cells, run as-baked before the run to find quality-safe, low-energy profiles.

Cosmos · Omniverse Replicator

Synthetic data (planned)

Rare foreign-body, under- and over-bake, blistering, cracked-top, hole, deformation and seal or fill scenarios, generated with domain randomisation and validated against real plant events before use.

cuOpt

Optimisation

Oven and changeover scheduling, energy allocation across zones and lines, proof dwell allocation and line balancing, recomputed on the GPU when the line is disrupted.

Isaac · Jetson

Robotic handling

Pan loading and unloading, tray transfers, reject diversion and packaging handling, with perception and motion policies built in Isaac Sim before they touch the line.

Autonomy

Five levels, set per loop

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

Autonomy levels and the human role at each
LevelWhat the agent doesWhat the person doesWhen
ObservePredicts rise, weight, colour, moisture and defects; writes nothingRuns the bakery as today; compares predictions to QA checksFirst phase with every design partner
RecommendProposes mix, proof, deposit and oven moves with the evidence behind eachA process engineer or baker approves or corrects each oneAfter accuracy is proven against the baseline
Approve to applyPrepares the write; applies it only on a named person's approvalApproves per move; reviews the shift recordOnce recommendations are trusted
BoundedWrites low-risk oven, depositing and inspection setpoints inside explicit limitsApproves anything above the limits; reviews exceptionsAfter the food-safety and ROI gates agreed up front
ExceptionsEscalates anything outside its envelope, CCP-adjacent moves and release decisionsAlways decides these; the agent never doesPermanent
From the plant floor

Who this is built for

The three people in an industrial bakery whose week changes when the line runs itself, and what each of them needs from Doughex.

Economic buyer

Plant or Operations Director

Owns production rate, quality, waste, giveaway and yield, energy and food safety. Wants a bakery that holds spec at higher rate with fewer interventions, and a number that justifies the spend.

Champion

Bakery or Process Engineer

Owns recipes, dough development, proof and oven profiles, process windows and yield. Approves and corrects the agents in recommend mode; those corrections train the models.

Approver

Quality and Food-Safety Manager

Owns HACCP, FSMA, BRCGS, ISO 22000 and allergen conformance, foreign-body and defect conformance, and lot genealogy. Needs every action grounded, cited and written to an immutable record.

IT/OT and sustainability 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

Doughex writes to production equipment in a food 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 and magnitude limits, at the autonomy level the plant has set.
  • Critical control points are read, never written. The bake kill step, metal detection and X-ray rejects, allergen changeover and release decisions stay with the HACCP plan and the people who own it.
  • Policy engine before every write. Autonomy level, interlock state, product, allergen status, shift and operator presence are evaluated before a setpoint moves.
  • Grounded and cited. Every recommendation carries a citation to the recipe, 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 HACCP, FSMA, BRCGS and ISO 22000 record-keeping.
  • Hard fallback. If the edge node, the network or a model stops, the line keeps running on its existing PLC and SCADA control and interlocks.
  • Tenant and IP isolation. Recipes, customer specs and tolerance models never cross a customer boundary. On-prem deployment available.

Assurance posture

Assurance and certification status
ItemScopeStatus
SOC 2 Type ICloud control plane QUEUED Roadmap, first 6 months
SOC 2 Type IICloud control plane QUEUED Roadmap, 6 to 12 months
HACCP · FSMA · BRCGS · ISO 22000 · allergenGrounding and record-keeping RUNNING Design basis for retrieval and the audit log
Per-tenant isolationData, memory, models RUNNING Design rule
On-prem deploymentRecipe-sensitive bakeries RUNNING Design option

Doughex supports your food-safety records. It is not a certification and it does not replace your HACCP plan.

Read the security overview

FAQ

Straight answers

The questions plant directors, process engineers and quality managers ask in the first meeting.

Only at the autonomy level your plant has set, and only to an explicit allow-list of low-risk loops inside explicit limits. Every design partner starts in observe mode, where Doughex predicts and writes nothing. Recommend mode follows, where a process engineer approves each move. Bounded autonomy on oven, depositing and inspection loops comes after the food-safety and ROI gates agreed up front.

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