Top Tech Jobs & Startup Jobs in Vancouver

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.

Provide high-complexity calendar, travel, logistics, meeting preparation, and follow-up support for the CEO. Identify workflow inefficiencies, anticipate needs, track commitments, manage confidential information, and coordinate with executive assistants. Contribute to building the Office of the CEO, support special projects, improve operating systems, and flex across time zones and travel requirements in a fast-paced environment.

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.

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.

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.

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.