Jobs at Waabi

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.

Provide onsite and remote IT operations support, with a focus on Linux systems administration, networking, endpoint management, identity and access management, security compliance, and user support. Administer servers and workstations, troubleshoot networks, manage device lifecycles, document processes, support audits, improve workflows, and participate in an after-hours on-call rotation across Waabi’s locations.

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 product design for Waabi’s driverless commercial and operations ecosystem, including fleet management, remote assistance, dispatch, monitoring, and safety-critical workflows. Observe fleet operators and terminal staff, design human-AI interactions, extend the design system, and ship directly in React codebases using AI-assisted tools. Collaborate with product, engineering, research, and operations teams while helping establish design culture and processes as the second product designer.

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.

Responsible for vehicle and component bringup, troubleshooting software and hardware faults, and supporting an autonomous vehicle fleet. Develops and executes on-vehicle test plans, analyzes sensor data, improves system performance and testing efficiency, documents debugging processes, and collaborates with engineering teams and OEMs on communication interfaces and vehicle performance.

Decompose product guidance into use cases, functional requirements, and system architectures for hardware development. Collaborate with multidisciplinary engineers throughout the product lifecycle, author systems engineering artifacts, qualify work products, manage technical risks, and guide safety, security, and quality attribute decisions. Apply systems engineering analysis methods, requirements management, standards decomposition, and testing practices to support reliable autonomous transportation hardware.

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.

Lead automotive partnerships, negotiate agreements, and execute strategy aligned with company goals while collaborating across engineering, product, and finance teams.

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 development of web tools for autonomous driving, mentor engineers, and collaborate on technical architecture, focusing on responsive applications and cloud infrastructure.

Lead the financial close process, manage consolidations, ensure accurate US GAAP reporting, automate accounting tasks with AI, and support audits.

The role involves designing frameworks for autonomy evaluation, implementing performance measurement methodologies, and developing analytical models for self-driving technologies. The applied scientist will collaborate with cross-functional teams, prototype analyses, and ensure rigorous evaluation standards are met.

Develops and executes autonomous vehicle test plans on closed courses and public roads. Responsibilities include preparing test vehicles, coordinating engineers and resources, evaluating vehicle performance, operating actor vehicles, generating test reports, maintaining vehicle systems and records, and supporting safe test operations. Requires experience with vehicle dynamics, autonomous vehicle hardware and software, systems engineering workflows, requirements verification and validation, Linux, and Python or MATLAB.

Develop and execute autonomous vehicle test plans on closed courses and public roads. Coordinate engineers, drivers, vehicles, schedules, and testing resources; prepare vehicles; evaluate performance; produce detailed reports; and support inspections, maintenance, and record-keeping. The role requires vehicle dynamics and autonomous vehicle systems expertise, data analysis skills, systems engineering and verification experience, strong communication, flexible hours, and travel availability.