Waabi

Job DescriptionJob DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will - Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers to build a reliable autonomy stack for self-driving vehicles. Qualifications:- MS/PhD or Bachelor degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.- Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making).- Production-quality coding skill in Python or C++.- Solid problem solving skills using linear algebra, geometry, statistics & probability.- Ability to rapidly prototype and test new algorithms.- Open-minded and collaborative team player with the willingness to help others.- Able to maintain progress towards long-term goals while working on short-term problems.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience working in self-driving field.- Experience in optimization. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will - Lead the strategy and execution of perception and prediction evaluation systems.- Design, code, and test tools, pipelines, services and platforms that support Waabi's perception and prediction evaluation.- Collaborate with other teams at Waabi, including research scientists, ML and software engineers, system engineers and program managers to understand their uses and deliver features that improve our overall evaluation ecosystem.- Participate in the growth and planning for how our evaluation platform scales over the next years.- Assist in roadmap planning, prioritization, and delivery. Qualifications:- 5+ years of industry experience reading and developing production quality software.- Experience using languages such as Python, Go, or Rust.- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.- Experience working in a team environment on a common codebase.- Ability to learn new technologies quickly particularly in data analysis.- 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 robotics / AV data.- Experience with perception and prediction metrics (precision, recall, ADE, CTE, etc.).- Experience with AWS (S3, ECS, Batch, etc.).- Familiarity with workflow management technology (ex. Airflow).- Familiarity with advanced statistical analysis.- Familiarity with large-scale data processing and distributed systems.- Familiarity with machine learning concepts and evaluation methods- Comfortable with Linux. The US yearly salary range for this role is: $155,000 - $213,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will - Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.- Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers to build a reliable autonomy stack for self-driving vehicles. Qualifications:- MS/PhD or Bachelor degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.- Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making).- Production-quality coding skill in Python or C++.- Solid problem solving skills using linear algebra, geometry, statistics & probability.- Ability to rapidly prototype and test new algorithms.- Open-minded and collaborative team player with the willingness to help others.- Able to maintain progress towards long-term goals while working on short-term problems.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience working in self-driving field.- Experience in optimization. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. You will - Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization.- Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc.- Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc.- Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time.- Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline.- Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks. Qualifications:- BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience.- Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping). - Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP).- Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.).- Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints.- Proficiency in python for data analysis, prototyping, and tooling.- Strong mathematical foundation in linear algebra, calculus, and probability theory.- A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world. Bonus/nice to have:- Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o).- Experience with "learned localization" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching.- Experience with high-speed highway autonomous driving constraints.The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionThe Embedded Software team owns our low-level software integration platform, coordinating communications amongst modules, low level control algorithms and safety assurance processes. Most of the work the Embedded team does requires access to the actual hardware, whether it be boards or vehicles. The intent of this position is to build best in class capabilities around embedded software development. You will - Implement low-level, safety critical embedded software for truck control functions such as engine control, steering and braking.- Integrate sensors and vehicle actuation feedback with our localization and control systems in order to implement redundant safety features.- Collaborate with our hardware, safety and systems teams on design, build and validation of highly reliable next generation systems.- Develop software according to industry-best practices for safe, reliable and robust code.- Support the bring up and operation of the autonomous platform, both remotely and on-site.- Work with our other software and autonomy engineers on implementing the low-level functions necessary to drive success in the autonomous vehicle field. Qualifications:- An experienced (5+ years) developer who codes embedded software on low level ARM microcontrollers and processors (sometimes with an RTOS) with one hand while wielding an oscilloscope probe with the other.- A developer who cares about building beautiful (but pragmatic) reusable embedded code and the systems to test and maintain that code.- A technical leader who enjoys mentoring junior developers and engineers and collaborating across teamsSomeone who has deep experience with any of C/C++/Rust (we primarily use Rust).- Experienced working on safety-critical, hi-reliability software projects following relevant industry safety standards. Requirements: This position is an onsite/hybrid position that will require onsite 3-5 days per week. This position will be hands-on partnering closely with our Compute, Hardware, and Sensor teams.The US yearly salary range for this role is: $148,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will - Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment. Qualifications:- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.- 3+ years of experience developing solutions in ML systems or the ML software stack.- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code. - Open-minded and collaborative team player with the willingness to help others. Bonus/nice to have:- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.- Experience working with large Vision-Language Models (VLMs) The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. You will - Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization.- Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc.- Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc.- Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time.- Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline.- Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks. Qualifications:- BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience.- Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping). - Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP).- Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.).- Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints.- Proficiency in python for data analysis, prototyping, and tooling.- Strong mathematical foundation in linear algebra, calculus, and probability theory.- A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world. Bonus/nice to have:- Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o).- Experience with "learned localization" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching.- Experience with high-speed highway autonomous driving constraints.The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to "drive" safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way.To learn more visit: On Tools, we build software tools that solve Waabi-specific problems and accelerate development. We have a relatively unique set of skills within the software organization that lets us build those tools. The Tools team owns and maintain services that have been built. In this team you will improve on our existing suite of services, and expanding it with new tools. You will - 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. Qualifications:- 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. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi's yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will - Design and lead the architecture and development of Waabi's monitoring and observability stack, used to monitor the health and performance of cloud and on-prem environments.- Develop and extend workloads and benchmarks (compute, storage, network, ML/AI) and integrate stress, chaos, and regression tests to validate hardware and platform choices.- Analyze and optimize end-to-end performance across hardware, firmware, Linux kernel, runtimes, and distributed services using advanced profiling tools (perf, eBPF, flamegraphs, tracing frameworks).- Build automation and observability tooling (Go/Python/Java, Kubernetes/Docker) for CI/CD-based performance regression detection, telemetry, alerting, and anomaly detection.- Work with client teams to support their applications' observability requirements.- Influence system architecture and tooling decisions that improve how Waabi builds, monitors, and scales its infrastructure.- Drive execution and quality, writing design docs, setting milestones, mentoring ICs, and communicating insights and results to stakeholders and leadership. Qualifications:- 5+ years software engineering or systems/performance engineering experience (BS in CS/EE or related), with demonstrated end-to-end ownership of complex projects.- Proficient in at least one of: Python, Rust, C/C++; strong CS fundamentals and system design skills.- Hands-on with Linux internals (CPU scheduling, memory, I/O, networking) and perf tooling (perf, eBPF, flamegraphs, tracing frameworks).- Experience with Kubernetes, microservices, and distributed systems; comfort building production services and pipelines.- Proven track record of clear communication, writing design docs, and leading cross-functional efforts. Bonus: - Experience deploying and managing observability platforms (OpenTelemetry, Grafana OSS).- Performance tuning for databases/streaming/batch/ML platforms; GPU/xPU or Arm performance exposure.- Experience tuning stream processing, batch or ML platforms (e.g. Argo Workflows, PyTorch).- Familiarity with microservices debugging and distributed tracing (OpenTelemetry, Prometheus).The US yearly salary range for this role is: $148,000 - $249,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: Simulation is at the core of Waabi's approach to autonomous vehicle development. Our closed-loop simulation engine built with the latest in generative AI technologies, Waabi World, provides an extremely realistic environment for training and evaluating self-driving systems. The Simulation Platform team is responsible for delivering a modular and scalable platform which integrates the onboard autonomy system, intelligent actor models, and sensor simulation. You will - Contribute to and improve our state of the art self-driving simulator Waabi World to accelerate autonomous vehicle (AV) development. - Improve the scalability and performance of the simulation platform to run simulations efficiently at an extremely large scale. - Design and implement orchestration software between simulation subcomponents including the autonomy system, data-driven actor models, and sensor simulation powered by generative AI. - Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.- Work closely with internal users to understand their requirements and workflows and propose new features to streamline and improve their experience using the simulator.- Advocate and set patterns for software development.- Drive complex cross-functional technical projects with impact across Waabi's systems and company-wide impact. Qualifications:- MS/PhD or Bachelors degree with a minimum of 5 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.- Experience with a variety of backend technologies and languages. Examples: Rust (Preferred), C++, Python.- Experience developing and maintaining production quality software, versus only creating prototypes/proof of concepts.- Linux/Unix experience- Understanding of test-driven and API-driven development methodologies.- Experience designing interfaces between systems.- Experience with multi-threaded system design/architecture, algorithms, data structure design, and systems-level programming.- Experience working with cross-functional partners/stakeholders when building software frameworks.- Experience with software performance, optimization, and profiling.- Experience with concurrency and determinism.- 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 with game engine development, simulation, or other similar application runtime development. - Experience in autonomous systems, robotics or machine learning.- Experience working in distributed systems or emulation at scale.- Docker & Bazel experience- Experience building software systems from scratch.- Experience working in an Agile/Scrum environment.- Experience working with accelerators.- Experience with sensor data processing.The US yearly salary range for this role is: $159,000 - $268,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Senior/Staff Software Engineer on our Behaviors team, you will create the next generation of simulation software for autonomous driving. You will work closely with our multidisciplinary team of research scientists and software engineers to build innovative, practical, and scalable solutions to challenging problems as part of our next-generation self-driving solution. You will - Architect and implement the next generation of our scenario framework, evolving it to support scenario generation at scale for Waabi World and Mixed Reality Testing.- Design clean, intuitive APIs that empower researchers, autonomy developers, and systems engineers across Waabi to author and generate scenarios easily and efficiently.- Build robust systems in Python and Rust that balance flexibility, performance, and maintainability.- Collaborate with researchers to productionize cutting-edge research into robust, scalable systems.- Champion engineering excellence and contribute to the technical direction of the team. Qualifications:- Strong software engineering fundamentals with proven experience architecting and refactoring complex production systems.- Demonstrated excellence in API design, particularly for developer-facing tools and frameworks.- Passion for software craftsmanship-you care deeply about code quality, API ergonomics, and developer experience. Bonus/nice to have:- Experience in self-driving, traffic simulation, or a related field.- Experience with ML frameworks such as PyTorch, TensorFlow, or Jax.- Experience with imitation learning, reinforcement learning, planning, and/or robotics.- Experience with simulation systems, game engines, or related technologies. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. You will - Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization.- Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc.- Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc.- Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time.- Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline.- Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks. Qualifications:- BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience.- Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping). - Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP).- Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.).- Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints.- Proficiency in python for data analysis, prototyping, and tooling.- Strong mathematical foundation in linear algebra, calculus, and probability theory.- A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world. Bonus/nice to have:- Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o).- Experience with "learned localization" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching.- Experience with high-speed highway autonomous driving constraints.The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will - Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment. Qualifications:- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.- 3+ years of experience developing solutions in ML systems or the ML software stack.- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code. - Open-minded and collaborative team player with the willingness to help others. Bonus/nice to have:- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.- Experience working with large Vision-Language Models (VLMs) The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to "drive" safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way.To learn more visit: On Tools, we build software tools that solve Waabi-specific problems and accelerate development. We have a relatively unique set of skills within the software organization that lets us build those tools. The Tools team owns and maintain services that have been built. In this team you will improve on our existing suite of services, and expanding it with new tools. You will - 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. Qualifications:- 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. The US yearly salary range for this role is: $141,000 - $249,000 in addition to competitive perks & benefits. Waabi's yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/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.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.