Careers · Wavelet AI

Build the Future of Autonomous Industry

Join Wavelet AI in building the operating system for industrial intelligence, autonomous execution, and self-healing enterprise infrastructure.

7 open positionsRemote · On-site · HybridGlobal · NA · EU · APAC
Our Culture

Mission-driven Industrial AI

Wavelet AI is a frontier engineering company. We build the autonomous runtime that powers the physical world — factories, grids, supply chains, and enterprises that the rest of the economy depends on.

We hire people who want to ship infrastructure that matters, in environments where downtime is measured in dollars per second.

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Frontier Engineering
Push the boundary of multi-agent runtimes and industrial AI.
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Operational Impact
Your code runs inside the factories that make the modern world.
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AI-native Systems
We design from first principles around agents, not features.
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Deep Technical Ownership
Engineers own systems end-to-end, from model to operator.
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Enterprise Scale
Mission-critical runtime serving 12k+ agents across global ops.
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Real-world Transformation
We measure success in MTTR, OEE, MWh saved, and downtime avoided.
Open Roles

Engineer the autonomous industrial era.

Click any role to expand
Mission

Own multi-million dollar industrial AI deployments at Fortune 500 manufacturers, energy operators, and supply chain leaders.

Responsibilities
  • boltDrive net-new enterprise pipeline across regulated industrial accounts
  • boltLead complex multi-stakeholder buying cycles with CIO/COO/CTO
  • boltCo-design transformation programs with Forward Deployed Engineers
  • boltNegotiate multi-year runtime contracts and expansion motions
Ideal Candidate
  • check_circle10+ yrs selling enterprise infrastructure or industrial software
  • check_circleTrack record closing $5M+ ARR transformation deals
  • check_circleFluent in industrial operations, ERP/MES, and AI/ML platforms
Impact

Place Wavelet AI OS at the operational core of the world's largest industrial enterprises.

Operational Scope
SAPOracleMESSCADAHyperscaler Cloud
Mission

Scale Wavelet AI OS adoption across mid-market industrial operators with high-velocity, product-led motion.

Responsibilities
  • boltBuild pipeline through outbound, partner, and self-serve channels
  • boltRun focused 30–60 day operational pilots with measurable ROI
  • boltClose 6–7 figure expansion deals with self-service onboarding
Ideal Candidate
  • check_circle6+ yrs SaaS / industrial sales with quota over-achievement
  • check_circleComfort with shorter cycles and consultative discovery
  • check_circleOperational intuition for plants, supply nodes, and energy assets
Impact

Bring autonomous execution to thousands of mid-market industrial operators.

Operational Scope
AI Ops ConsoleOrchestration StudioRuntime APIs
Mission

Lead world-class teams building the runtime kernel, agent orchestration, and self-healing systems that power the AI OS.

Responsibilities
  • boltBuild and mentor multi-disciplinary engineering pods (8–14)
  • boltOwn roadmap, architecture review, and runtime reliability
  • boltDrive engineering excellence: code quality, observability, SLOs
  • boltPartner with Forward Deployed teams on industrial deployments
Ideal Candidate
  • check_circle8+ yrs engineering, 3+ yrs managing high-performing teams
  • check_circleDeep systems background: distributed runtimes, schedulers, agents
  • check_circleBias for shipping mission-critical infrastructure
Impact

Ship the runtime that runs the physical world.

Operational Scope
RustTypeScriptPythonKubernetesPostgresKafka
Mission

Own end-to-end deployment of Wavelet AI OS into customer industrial environments — from pilot to autonomous production.

Responsibilities
  • boltLead deployment squads embedded inside customer operations
  • boltTranslate plant requirements into runtime configurations
  • boltDrive go-live readiness, change management, operator adoption
  • boltQuantify and report operational impact (OEE, MTTR, downtime, $)
Ideal Candidate
  • check_circleIndustrial deployment experience (MES, SCADA, ERP rollouts)
  • check_circleProgram management at scale across multi-site enterprises
  • check_circleStrong communicator across operators, IT, and executive sponsors
Impact

Take Wavelet AI OS from pilot to autonomous operations in 90 days.

Operational Scope
MESSAPOracleSCADAIndustrial IoT
Mission

Engineer real-world autonomous execution flows — directly inside customer factories, grids, and supply networks.

Responsibilities
  • boltCompose multi-agent workflows for live industrial operations
  • boltIntegrate Wavelet AI OS with SAP, Oracle, MES, SCADA, IoT
  • boltDiagnose runtime issues at the edge with operators in the room
  • boltFeed customer signal back into Agent Core and Intelligence Hub
Ideal Candidate
  • check_circleStrong engineer who thrives in messy, real-world environments
  • check_circlePython / TypeScript + workflow orchestration + integrations
  • check_circleComfort with PLCs, OT networks, and industrial protocols
Impact

Be the engineer present when autonomous AI runs the plant for the first time.

Operational Scope
PythonTypeScriptOPC UAMQTTKafkaREST/GraphQL
Mission

Own product-led growth across the AI OS — from runtime trial to enterprise expansion — turning autonomous execution into a viral motion inside large organizations.

Responsibilities
  • boltDefine and ship growth surfaces: onboarding, time-to-value, expansion loops
  • boltPartner with Engineering, GTM, and Forward Deployed teams
  • boltRun quantitative experiments on activation, retention, expansion
  • boltTranslate operator behavior into runtime product decisions
Ideal Candidate
  • check_circle5+ yrs PM with product-led growth in infra or developer tools
  • check_circleStrong analytics, experimentation, and prioritization muscle
  • check_circleComfort with technical buyers in industrial / enterprise contexts
Impact

Make Wavelet AI OS the default operating system every industrial team reaches for.

Operational Scope
AnalyticsExperimentationRuntime APIsAI Ops Console
Mission

Design and build the multi-agent orchestration, deliberation, and self-healing systems at the core of Wavelet AI OS.

Responsibilities
  • boltArchitect agent runtimes: planning, tool use, deliberation, arbitration
  • boltBuild evaluation harnesses, simulation, and safety scaffolding
  • boltPush the frontier of industrial-grade autonomous execution
  • boltCollaborate with Sentinel Core on AI safety and trust primitives
Ideal Candidate
  • check_circleStrong ML systems engineer with agent / LLM orchestration experience
  • check_circleComfort with reinforcement learning, planning, and tool use
  • check_circleTrack record shipping production AI infrastructure
Impact

Define what autonomous industrial intelligence actually means in production.

Operational Scope
PythonPyTorchLLM orchestrationRustKubernetes
Engineering & AI Infrastructure

Building AI-native Operational Infrastructure

We're building the runtime that schedules autonomous decisions across the physical world — multi-agent, self-healing, enterprise-scale.

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Multi-agent Orchestration
Specialized fleets deliberating and arbitrating in real time.
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Runtime Systems
Schedulers, executors, and policy engines at industrial scale.
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Industrial AI Deployment
Edge-to-cloud topology embedded in real plants.
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AI Safety & Self-Healing
Sentinel Core: detection, protection, recovery, learning.
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Enterprise Integration
Bidirectional with SAP, Oracle, MES, SCADA, IoT.
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Real-world Operational Execution
Action under policy, audit, and rollback paths.
Why Join

Work on Systems That Run the Physical World

Wavelet AI is not building another AI tool. We are building the runtime that powers autonomous operations across the global industrial fabric.

large-scale impact
autonomous AI systems
enterprise infrastructure
frontier AI execution

Help Build the Autonomous Industrial Era

Wavelet AI is the operating system for autonomous industrial intelligence.