Jobs at Waabi

Lead and manage the ML Dataset Platform team while defining its technical direction, roadmap, APIs, tooling, storage formats, versioning, lineage, and data-loading infrastructure. Build scalable systems for petabyte-scale multimodal datasets, optimize training data access across clouds, partner with ML platform and model teams, hire and mentor engineers, and drive platform adoption across the organization.

Lead safety and systems technical program execution for autonomous vehicle platforms. Coordinate safety assessments, system architectures, verification and validation, production readiness reviews, continuous software evaluation, executive reporting, issue tracking, and cross-functional engineering alignment. Consolidate plans and Jira data, use AI tools to reduce administrative overhead, ensure requirements have test coverage, and drive safety, security, and systems deliverables through deployment decisions.

Build and manage Waabi’s demand generation engine through lifecycle marketing, email nurture, paid digital campaigns, ABM, content, webinars, and outbound prospecting. Generate and qualify MQLs, track CAC and funnel performance, optimize campaigns, and contribute directly to sales pipeline. The role requires hands-on execution, strong analytical and writing skills, AI-enabled marketing workflows, and collaboration with brand, events, product marketing, and sales teams.

Define and elevate Waabi’s visual brand identity and translate its Physical AI narrative into compelling digital and physical experiences. Develop breakthrough creative concepts, produce video, design presentations and social content, oversee brand consistency, manage external agencies and production budgets, and partner with executive leadership. The role is hands-on initially and will eventually build and lead an in-house creative team.

Reviews annotated sensor and map data for quality, identifies recurring issues, and recommends solutions. The role prepares reports, maintains annotation policies, develops training documentation, performs data annotation, tests internal tools, reports bugs, and creates visual assets. It also collaborates with stakeholders, partners, annotators, project managers, and engineers while supporting on-road operations and evolving program priorities.

Leads Waabi’s earned media, executive communications, internal communications, thought leadership, and communications agency relationship. Develops accurate narratives across technology, logistics, transportation, and business media; supports executive visibility; maintains external messaging guardrails; and builds the foundation for a future communications team.

Supports strategic finance and corporate development through financial modeling, long-range planning, business case development, deal analysis, capital strategy, FP&A, investor relations, and market intelligence. The Associate will build financial frameworks, support strategic partnerships and due diligence, prepare executive and board materials, manage investor reporting, and translate autonomy-sector trends into actionable insights for leadership.

Designs and governs scenario and test sets for autonomous-vehicle behavior verification. Owns validity checks and release-pipeline approvals, translates behavior requirements into testable criteria, investigates behavior deficiencies and test escapes, distinguishes real failures from simulation artifacts, and coordinates verification cadence across planning, simulation, evaluation, safety, operations, and platform teams.

Owns cross-functional program execution for platform software across hardware, embedded systems, onboard software, physical infrastructure, and systems engineering. Builds integrated plans, dependency maps, roadmaps, risk registers, executive reporting, and scalable tracking processes. Coordinates platform bring-up, software releases, testing, and milestone readiness while surfacing blockers and driving resolution across teams with different development cadences.

Own and improve operational metrics, dashboards, analytical datasets, data pipelines, and automated reporting for autonomous vehicle fleet operations. Analyze utilization, uptime, delays, downtime, readiness, mission performance, and commercial outcomes to identify root causes and improvement opportunities. Ensure data quality across systems, develop scalable workflows, and partner with Operations, Commercial, and Data Platform teams to deliver actionable insights and recommendations.

Own the production deployment of neural and generative models for Waabi’s multi-sensor simulator. Responsibilities include optimizing models with compilation, quantization, mixed precision, CUDA, and custom kernels; building numerical parity benchmarks; developing model export, versioning, registry, and build tooling; collaborating with research teams; and managing GPU workloads in cloud environments.

Lead product definition for Waabi’s autonomous vehicle hardware platform across trucks and robotaxis. Own requirements, acceptance criteria, verification plans, human-machine interfaces, cabin and external safety features, and physical touchpoints. Partner closely with hardware engineering, industrial design, OEMs, and suppliers from concept through production. Translate real-world scenarios into testable requirements while balancing feasibility, cost, safety, and user needs.

Owns technical integration between Waabi’s autonomous driving technology and an OEM partner from program setup through driverless operation. Responsibilities include integrated planning, cross-functional coordination across hardware, embedded, onboard, infrastructure, and autonomy teams, risk and dependency management, executive communication, partner alignment, and hands-on vehicle issue triage.

The Global Supply Manager develops and executes sourcing strategies for indirect categories including IT hardware, SaaS, professional services, operations, and facilities. Responsibilities include leading RFx processes, negotiating contracts, managing supplier relationships and performance, maintaining contract data, driving cost savings, optimizing procure-to-pay processes, forecasting budgets, and resolving supply chain issues. The role partners with Legal, Finance, and internal stakeholders and requires travel to Waabi locations up to 25% of the time.

Lead Waabi’s compensation strategy, including salary, equity, variable pay, annual compensation cycles, benchmarking, forecasting, pay equity, compliance, and executive communications. Partner with Finance, Recruiting, managers, executives, and the board to design scalable compensation programs across U.S. and Canadian locations. Educate employees and managers on total rewards while using analytics and AI tools to improve compensation workflows.

Leads Waabi’s commercial contracting function across hardware supply, OEM partnerships, software licensing, SaaS, services, and vendor agreements. Drafts and negotiates complex transactions, advises cross-functional teams on risk, manages contract compliance, and builds scalable templates, playbooks, and processes. Supports IP, open-source licensing, regulatory, export control, and data privacy matters related to commercial deals.

Supports FP&A by building budgets, forecasts, financial models, leadership and board reporting, KPI dashboards, and variance analyses. The role improves financial systems and reporting processes, evaluates investments, pricing, and cost-saving opportunities, and partners with leadership to strengthen financial planning and cash-flow management at a high-growth technology company.

Build and operate a reliable ML platform for large-scale distributed GPU training. Responsibilities include Kubernetes infrastructure, developer-facing CLIs and SDKs, AWS infrastructure, data and artifact management, experiment tracking, model registries, CI/CD, observability, documentation, security guardrails, and platform adoption. The role partners closely with researchers and engineers to improve training speed, reliability, usability, and cost efficiency for autonomous transportation systems.

Design and develop machine-learning approaches for vehicle control, including learned vehicle dynamics models, adaptive controllers, data pipelines, evaluation metrics, and simulation tooling. Integrate learned models into safety-critical closed-loop systems and validate algorithms through offline experimentation, simulation, and on-vehicle testing. Collaborate with engineers and research scientists to combine classical control with AI for scalable self-driving technologies.

Build and deploy internal AI tooling, agents, integrations, and workflows that improve productivity across engineering, research, and business teams. Evaluate emerging AI tools and models, develop observability and responsible-use guardrails, and partner with stakeholders to prototype and scale solutions. Drive adoption through documentation, enablement, and hands-on support while integrating AI into autonomy, simulation, ML training, and business workflows.