Jobs at Waabi

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.

Develop scalable, production-quality software for an autonomous vehicle platform. Responsibilities include building tools and frameworks for AV development, integrating web platforms with vehicles, creating customer-system integrations, deploying software, and collaborating with engineers, research scientists, commercial teams, and designers. The role offers hands-on experience in requirements identification, software development, and production deployment.

Develop and implement safety framework methodologies for autonomous trucking readiness decisions. Build high-signal safety datasets across simulation and closed-course testing, establish feedback loops from road monitoring and safety events, validate safety evaluation pipelines, and create traceable safety artifacts. The role also requires cross-functional collaboration, technical mentorship, data analysis, statistical evaluation, and evidence-based safety case development for autonomous vehicles.

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.

Own the design, deployment, security, and lifecycle management of Waabi’s multi-site network infrastructure. Responsibilities include switching, routing, wireless, firewalls, ISP planning, incident response, configuration hardening, IP addressing, segmentation, zero-trust access, vehicle connectivity, developer network support, on-premise compute networking, documentation, and disaster-recovery runbooks.

Develop signal processing algorithms for camera, LiDAR, radar, and other autonomous-driving sensor data. Design acquisition, fusion, filtering, and learning-based methods; optimize them for CPU, GPU, DSP, and specialized accelerators; and collaborate with autonomy and hardware teams to deliver reliable, low-latency production systems. The role also supports experimental validation and potential research publications.

Lead software quality for autonomous vehicle planner architecture, developing fault-tolerant systems and improving reliability across motion planning and onboard software teams. Design motion planning software and decision-making algorithms for complex traffic scenarios, while managing experimentation and data-generation pipelines. Collaborate with multidisciplinary engineering and research teams to deliver safe, production-quality self-driving technology.

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

The role involves building standardized training frameworks, profiling model performance, collaborating with teams, and improving related tooling.

The Applied Data Scientist will analyze performance data of Waabi's autonomy systems, develop automated dashboards, and collaborate across teams to drive insights for performance improvements.

Lead the strategy and execution of the autonomy stack for Waabi Driver, ensuring alignment across teams, managing product lifecycles, and making data-driven decisions to commercialize autonomous features.

As a Research Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.