Senior Software Engineer building software tools for self-driving technology at Waabi. Collaborating with engineers and researchers to enable safe self-driving at scale.
Responsibilities
Lead technical and architecture discussions, collaborating with Researchers and Engineers.
Mentor other software engineers via code reviews, technical design reviews, and sharing general software development best practices.
Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale.
Build and maintain interactive web tools including interactive simulation, custom labelling tools, data annotation tools, dataset curation tools, result comparison tools, and more.
Requirements
Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines.
5+ years of industry experience developing production quality software.
Experience with modern web technologies/libraries for building responsive web applications. Examples: TypeScript, React, or similar languages and tools.
Experience with a variety of backend technologies and languages. Examples: Go, Python, Rust, C++.
Experience with cloud infrastructure such as AWS or GCP.- Ability to learn new technologies quickly.
Empathy for the people who will use the tools you create and maintain.
Open-minded and collaborative team player with willingness to help others.
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/ nice to have:
Experience working with container and cloud infrastructure and managing infrastructure-as-code.
Experience with 3D visualization (WebGL) / real-time interactive systems.
Experience with web visualization libraries such as D3.js, three.js, or similar.
Previous experience or passion in UX/design.
Experience with software development tools including build system, version control, continuous integration, containers, packaging, profiling, debugging, code review, linting, test automation, and test coverage tools.
Experience in ML and self-driving.
Experience working with robotics or machine learning research teams.
Experience working in an Agile/Scrum environment.
Benefits
Competitive compensation and equity awards.
Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
Unlimited Vacation.
Flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regularly scheduled team building activities and social events both on-site, off-site & virtually.
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