Founding edge perception engineer
Jetson Orin, DeepStream, Holoscan, TensorRT. Fuse weld and coating cameras, laser trackers, point clouds, torque and test signals into one estimate of build quality at the station.
Careers
Work on software that recommends a weld sequence on a 20-metre shell.
Railira is pre-launch and building its founding team. The four roles below are the ones we expect to open first, written as honestly as we can about the stage: there is no office to show, no customer list, and the first job is a paid pilot on one process.
Illustrative scenario: Car 07 of a 4-car metro consist · shell line B · bogie shop · booth 2 · marriage station, one car, one approval gate
Founding roles
Where we need people
Role descriptions, not an openings count. Each is a founding role.
Founding controls and OT integration engineer
PLM, MES, robot, metrology, torque, wiring-test, brake-test and coating-booth connectors. Guarded writes, interlocks, rollback and the audit log.
Founding simulation engineer
Omniverse train-and-plant twin, carbody weld-distortion and geometry FEA surrogates, point-cloud metrology, cuOpt sequencing.
Founding rail manufacturing or quality engineer
Someone who has run a carbody shop, a bogie line or a coating shop, or held IRIS and PPAP traceability. Translate line-side craft into control-plan envelopes, metrics and acceptance tests for design partners.
How we work
Six things about working here
The plant is the customer
We measure ourselves on rework, repaint, torque escapes, line stoppage minutes and first-time-through, the plant's own numbers.
Nothing unlabelled
A design target is called a design target. A scenario is called a scenario. We do not round up.
Safety is a feature
The policy engine, approvals, interlocks and the audit log are the product, not overhead.
Simulate first
A weld sequence is rehearsed on the twin before it is recommended. So are our own changes.
Write it down
Every decision, every run, every correction goes into a record someone else can read.
Go to the plant
The craft we are encoding lives on the floor, next to the shell line, the bogie station and the booth. We go there.
Run timeline · scenario
What you would be building
Every Railira run is an ordered, inspectable sequence. This is run_9b4e27: Car 07 of a 4-car metro consist · shell line B · bogie shop · booth 2 · marriage station. Scenario completes in 10 steps with one approval gate. Shell geometry held inside tolerance after a twin-ranked weld sequence, one heat-input change approved by the shift weld engineer, two torque traces routed to rework before brake test, the livery cure window protected in the sequence, marriage interface inside tolerance, car released with full genealogy.
run_9b4e27
car 07 · 4-car metro consist
illustrative scenario
SUCCEEDED
-
01
ingest.order
SUCCEEDED
0.8 s
Plant Orchestrator · Pulled the work packages for car 07 from MES and PLM: aluminium extrusion shell, EN 15085 weld class per joint, control-plan geometry tolerances, bogie torque specifications, livery recipe and cure window, fit-out and marriage sequence. Locked the approved control-plan envelope for the shift.
-
02
takt.sequence
SUCCEEDED
41 s
Line-and-Logistics · Sequenced the shift against live readiness: booth 2 cure window, bogie B-14 readiness, brake-test slot at 13:40, AMR fleet state and kit inventory. The plan moves car 07 marriage behind car 06 to keep the cure window and the test slot.
-
03
twin.simulate
SUCCEEDED
58 s
Train Twin · Simulated 18 candidate weld sequences for the roof-to-sidewall joints on the as-built twin and ranked them on predicted distortion, door-aperture geometry and heat input. Sequence #6 keeps the aperture inside tolerance with 2% less heat input than the standing sequence.
-
04
weld.sequence
SUCCEEDED
3 m 12 s
Weld-and-Structure · Recommended sequence #6 and the matching clamping plan to the shell line. Seam vision and laser-tracker geometry confirmed the roof-to-sidewall joints inside the control-plan tolerance on the first four seams.
-
05
approve.human
APPROVAL
52 s
Plant Orchestrator · Sequence #6 lowers heat input on the roof joints 2% below the standing weld procedure. Heat-input changes stay with a named engineer, so the step was held for the shift weld engineer and approved at 06:12:44 with the twin evidence attached.
-
06
bogie.torque
SUCCEEDED
continuous
Bogie-and-Running-Gear · Press-fit curves and torque traces on bogie B-14 read at the station. Two traction-motor mounting traces fell outside the expected profile and were routed to rework before brake test; the remaining safety-critical joints verified to spec.
-
07
coat.cure
SUCCEEDED
continuous
Coat-and-Livery · Booth 2 humidity and temperature, film thickness and flash time watched through the livery pass. One masking misalignment on the door band flagged by booth vision before the second coat; the cure window held and handed to the sequence as a hard constraint.
-
08
marry.align
SUCCEEDED
2 m 05 s
Marry-and-Couple · Carbody and bogie scans compared against target interface geometry before the lift. Fit-out readiness confirmed by Fitout-and-Interior for doors and glazing. Marriage guided inside tolerance; coupler and gangway checks verified and written to the twin.
-
09
inspect.fuse
SUCCEEDED
continuous
Quality-and-Anomaly · Weld and coating vision, in-line metrology, torque, wiring continuity and brake-test results fused at the edge across the car. Every finding localised to station, work package and shift, with the two torque reworks and the masking flag already closed.
-
10
car.release
SUCCEEDED
1 m 30 s
Conformance · Car 07 released: genealogy written (weld records per joint, geometry scans, torque traces, coating recipe and cure record, fit-out checks, marriage interface, approvals, test results) and dispositioned against the control plan and IRIS / ISO/TS 22163 criteria with cited evidence for the quality engineer's sign-off.
Process
How hiring runs
- Write to us. What you would own, what you have built or run, and why rolling stock.
- A conversation. An hour on the problem, not a quiz.
- A working session. A real design question from the backlog, worked together.
- References and an offer. Founding terms, discussed openly.
Accelerated computing
Physical AI, at the station
A seam is welded in seconds and a booth cannot wait for the cloud. Perception has to be local, deterministic and fast, so Railira runs GPU inference at the plant edge and keeps training, simulation and optimisation in the cloud or on-prem.
Edge perception
8 to 32 cameras per process area plus metrology, torque, thermal, robot and booth-instrument streams fused at the plant edge. Sub-50 ms weld and seam alerts and sub-150 ms coating and metrology prompts are the design targets. Jetson Thor is planned for higher sensor density.
Model serving
Weld-defect, geometry-risk, coating-risk, point-cloud and takt-risk models served at the plant edge with per-model versioning and rollback, routed by latency, tenant, sensitivity and cost.
Training
Weld and coating defect vision, metrology classification, control-plan reasoning and FEA-surrogate models fine-tuned on plant data and engineer corrections. 100 to 500 GPU-hours per plant during onboarding is the design target; dedicated capacity is planned.
Train-and-plant twin
As-built carbody, coating, marriage and line-flow twin. Weld distortion, geometry build-up, robot reach, coating coverage and layout simulated before the shift. GPU FEA and point-cloud metrology are the workloads; OVX scale is planned.
Synthetic data
Rare weld defects, coating contamination, geometry deviations, occluded seams and torque-escape cases generated and validated against real inspection distributions before promotion. Planned.
Optimisation
Line sequencing, JIS feeding, AMR and AGV routing, buffer management and commissioning-slot scheduling against live readiness.
Robot cells
Robotic weld, coating and assembly cells and AMR or AGV flow; path variants validated in simulation before release to the floor.
GPU ETL
Telemetry features from weld parameters, metrology, coating readings, torque, non-conformance and takt history for retraining, drift detection and network analytics.
Autonomy
Four levels, set per agent and per tool
A rolling-stock plant does not go from manual to unattended in one step. Railira makes the level explicit, auditable and reversible at any time. The first release runs shadow mode, then assist mode, then bounded autonomy on low-risk actions. Weld parameters, schedule release and car release stay with named humans until acceptance is earned.
| Level | What the agent does | What the human does | Where it sits in a pilot |
|---|---|---|---|
| L1 · Shadow | Reads weld, metrology, torque, coating, wiring, test, robot and MES signals; predicts and recommends; writes nothing | Runs the line as today; compares predictions to inspection and engineer outcomes | Shadow mode; baseline measured from the plant's own records |
| L2 · Assist | Proposes weld-sequence, geometry, coating, torque and sequencing moves with evidence, confidence, envelope and rollback path | Approves each move in the review console | Assist mode; accuracy and ROI proven against the baseline |
| L3 · Bounded | Executes pre-approved low-risk actions: inspection routing, rework priority, kit feeding, robot path variants and parameter adjustments inside approved bounds | Approves heat-input and weld-sequence changes, schedule release and car release | Graduated autonomy, after audited accuracy and ROI and safety gates |
| L4 · Scaled | Supervised weld-parameter adaptation inside pre-approved control-plan envelopes, across lines and plants | Sets the envelope; reviews the shift record and the evaluation results | Planned; after IRIS, plant and OEM acceptance is earned |
Guardrails
An agent that can change a weld sequence needs a leash
Railira writes to production systems. Every capability is scoped, every write is policy-checked against the approved control plan, and every action is written to an append-only audit log the plant owns.
- Bounded action space. Each agent acts only through an explicit tool allow-list, inside per-tool rate and magnitude limits and the approved control-plan envelope for the car type.
- Policy engine before every write. Autonomy level, shift, car type, interlock state and operator presence are evaluated before a recommendation becomes a write to a robot, MES, torque tool or work package.
- Human-in-the-loop gates. Heat-input and weld-sequence changes, schedule release and car release wait for a named approver. High-risk changes remain human-approved until IRIS, plant and OEM acceptance is earned.
- Immutable audit log. Append-only and exportable. Every action records source evidence, the control-plan envelope, confidence, estimated quality and takt impact, rollback path, approver and car scope.
- Hard fallback. Loss of the edge node, the network or a model returns control to the robot, PLC or station's last known-good state. Safety systems and interlocks are never in Railira's path.
- Tenant and program isolation. Designs, control plans, program data, models and memory never cross a customer boundary. On-prem and plant-edge deployment is available for regulated plants.
Compliance posture
| Item | Scope | Status |
|---|---|---|
| SOC 2 Type I and OEM cyber review | Cloud control plane | QUEUED Planned, first 6 months |
| SOC 2 Type II | Cloud control plane | QUEUED Planned, 6 to 12 months |
| SSO and RBAC | Console and approvals | QUEUED Planned, 6 to 12 months |
| IRIS and regulatory assurance packages | Disposition and genealogy evidence | QUEUED Planned, 6 to 12 months; not a certification claim |
| Standards-cited reasoning | Control plans, EN 15085, IRIS / ISO/TS 22163, TSI, AAR, APTA, torque and brake-test procedures | RUNNING In the design, every answer cites its source |
| Per-tenant and program isolation | Designs, control plans, models, memory | RUNNING In the design from day one |
| On-prem and plant-edge deployment | Regulated plants | RUNNING Design option |
FAQ
Straight answers
The questions plant directors, body and coating engineers and quality leads ask in the first meeting.
Only within an explicit tool allow-list with per-tool rate and magnitude limits, inside the approved control-plan envelope, and only at the autonomy level your plant has set. Design partners start in shadow mode, where Railira writes nothing. Heat-input and weld-sequence changes, schedule release and car release stay with a named approver.
Control returns to the robot, PLC or station's last known-good state. Railira is a supervisory layer on top of the controllers, safety systems and interlocks you already run, never a replacement for them, so an outage degrades the line to its current way of running, not to a stop.
Recommendations start from the control plan, the work instructions and the twin in the first weeks. Weld, geometry, coating and torque prediction improve as line history and labelled outcomes accumulate per car type. Onboarding is sized at 100 to 500 GPU-hours per plant and 50,000 to 250,000 synthetic images or scan variants per program, all design targets.
Only if you choose cloud training. Designs, control plans, program data, process models and quality records are isolated per tenant and never used to train another customer's models. Fully on-prem deployment at the plant edge is available for regulated plants, and cross-plant learning is planned and waits on data-rights agreements.
You are, the same as with any control strategy, which is why every write is policy-checked, bounded, logged and reversible, and why anything above your risk threshold waits for a named approver. The audit log records the request, the evidence, the envelope applied and the human decision.
A paid pilot on one process or line area, scoped to a single wedge with a success metric written into the order form: weld or coating rework reduction, geometry escapes, torque escapes, line stoppage minutes or first-time-through. It starts in shadow mode against a baseline from your own records, moves to assist mode when the engineer is satisfied, and expands only after the number moves.