Senior/Staff Software Engineer, Localization

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🕒 April 4

🏢🏡 San Francisco – Hybrid

💵 $141k - $242k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 23%

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Logo of Waabi

Waabi

WebsiteLinkedIn

51 - 200 employees

Founded 2021

🚘 Automotive

🏭 Manufacturing

💼 Consulting

💰 Venture Round on 2023-01

Automotive • Manufacturing • Consulting

Waabi is a company at the forefront of autonomous trucking technology. Led by AI and self-driving pioneer Raquel Urtasun, Waabi uses advanced Generative AI to develop scalable and safe self-driving solutions. The Waabi Driver, their cutting-edge product, blends an end-to-end trained AI stack with an interpretable architecture, facilitating OEM integration and large-scale commercialization. Waabi World, their highly advanced simulation engine, offers a realistic and immersive environment that accelerates the development and deployment of self-driving technology by reducing the reliance on extensive real-world testing. With partnerships and a visionary approach, Waabi aims to revolutionize logistics and supply chain industries.

📋 Description

• Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale. • Lead and contribute to robotics and computer vision projects which ensure that accurate and low-latency state information is available to the running self-driving software at any given moment. • Own and shape a key component of Waabi’s state estimation software, which includes identifying requirements, defining deliverables, and formulating meaningful milestones for the entire process. • Develop projects such as online and offline localization, global localization, state bootstrapping. • Develop robust deep-learning observation models that work in the most challenging environments. • Develop novel methods capable of running on real-world hardware, leveraging a wide range of state-of-the-art sensors while ensuring robustness, stable long-term operation, and efficiency. • Develop and maintain rigorous metrics & evaluation pipelines to monitor the evolution of key localization metrics over time. • Work closely with a wide range of teams ranging from mapping to motion planning and control.

🎯 Requirements

• Bachelors or Masters/PhD in Computer Science, Engineering, Machine Learning, or Robotics OR a minimum of 4 years of industry experience in this field or in similar technical fields of study. • Demonstrated software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers. • Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability. • Proficient in reading and writing safe and performant Python and a high-performance language such as C++ or Rust. • 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 writing high-performance real-time software in Rust. • Experience with mapping and localization algorithms (SLAM, Visual Odometry, Global Retrieval, Feature Matching, etc) • Experience working with GPS, IMU, RTK and/or other state measuring hardware. • Experience with existing deep learning tooling (e.g., TensorFlow, PyTorch, Jax) • Experience with cloud platforms (e.g., AWS/Azure/Google Cloud). • Interest and experience with geospatial systems (QGIS, ArcGIS) and 3D geometry. • Experience working in an Agile/Scrum environment. • Experience with large-scale optimization software such as Ceres or SymForce.

🏖️ 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!

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