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Director of Perception - Autonomous Driving

Company: TuSimple, Inc.
Location: Cambridge
Posted on: November 19, 2021

Job Description:

You can apply for the job with this email address:director_of_perception_acd0c23b2us@ivy.greenhouse.ioCompany OverviewCome join a higher calling and find a deeper purpose!As a multi-national Artificial Intelligence Technology Company, we are at the epicenter of the Autonomous Vehicle Universe. Our breakthroughs are leading the industry in autonomous trucking.While inventing the framework of Autonomous Driving, our current fleet of autonomous Trucks are helping communities receive much-needed supplies and medical equipment around the clock. Our people are some of the most talented engineers and contributors who are leaving behind a historic legacy.TuSimple was founded half a decade ago with the goal of bringing the top minds in the world together to achieve the dream of a driverless truck solution. With a foundation in computer vision, algorithms, mapping, and Artificial Intelligence, TuSimple is working to create the first global commercially viable Autonomous Freight Network.Opportunity OverviewDirector of Perception with expertise in leading the development of perception capabilities for autonomous vehicles. The ideal candidate will be a software expert who has overseen a process from the R&D phase through product shipment and has a passion for leading teams and developing real-world solutions.In this role, you will be responsible for developing the Perception technical roadmap, leading a team of talented research scientists and software engineers, collaborating with technical leadership in other areas such as Planning, System Architecture, and Sensors and ultimately delivering solutions for our autonomous driving system.This team solves problems that involve computer vision: processing sensor data from Lidar or imagery and geometrically reasoning about that data. That data gets used in localization to estimate pose relative to the map or, over time, calibration to produce high-quality calibrations of the sensors and vehicle, and in mapping to geometrically align the world.ResponsibilitiesInterview, hire, and manage a diverse team of talented Perception Engineers and ScientistTake responsibility for the overall planning, execution, and success of complex technical projects and provide the team with technical leadership.Set the vision for, grow, and lead a variety of strong technical teams with a mix of vision and Lidar algorithm experience and strong software experience.Work on geometric and learning-based approaches to improve our visual localization and mapping systemBe deep in code with strength in software and algorithms.Collaborate with engineers across a variety of teams to brainstorm and accelerate the development of perception capabilities.Design, implement and validate algorithms to support robust and scalable mapping pipelines for TuSimple s self-driving Trucks. In addition, you will also design and implement necessary metrics and toolsDeliver safety-critical software for self-driving cars by leading, managing, and growing a team of Perception engineers & scientists.Lead the design and implementation of the Perception of the technical roadmapRequirementsDeep expertise in multi-modal perception and vision developmentStrong leadership skills suitable for recruiting, leading, and managing small sets of teams of teams of engineers to solve a challenging problem and build a critical component of a real-time systemRecent experience in implementing vision & perception algorithmsExpertise in implementing autonomy solutions and deploying on real-world systemsYou have grown a diverse Research TeamDegree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related fieldA hands-on candidate who can lead teams to solve these challengesStrong fundamentals in geometric computer vision algorithmsAbility to be deep into code and know how to drive a team to produce high quality, runtime and a memory-efficient, robust software product that can operate robustly under a range of real-world conditionsStrong software, and software engineering skills are required but we are language agnostic. A willingness to gain stronger software engineering knowledge and deep expertise in C++ and/or Python is requiredStrong theoretical and applied knowledge of relevant subsets of relevant algorithms.Strong desire for candidates with hands-on experience that have deployed real products or platforms into the real world and intimately understand the challenges of working with complex systemsStrong presentation and communication skills are desired.EducationPh.D. or M.S. in Robotics, Computer Science, Aerospace Engineering, Engineering, or a related fieldExperience working in robots, automotive and/or aerospaceSignificant hands-on technical leadership and engineering management experienceTrack record of delivering complex technical projectsPerks100% employer-paid healthcare premiums for you and your familyWork visa sponsorship availableRelocation assistance availableBreakfast, lunch, and dinner served every dayFull kitchens on every floor with unlimited snacks, drinks, special treats, fruits, meals, and moreStock options / equityGym membership reimbursementMonthly team building budgetLearning/education budgetEmployer-paid life insuranceEmployer-paid long and short disabilityTuSimple is an Equal Opportunity Employer. This company does not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin, or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above-listed items.You can apply for the job with this email address:director_of_perception_acd0c23b2us@ivy.greenhouse.ioBrown University, California Institute of Technology, Carnegie Mellon University, Columbia University, Cornell University, Dartmouth College, Duke University, Georgia Institute of Technology, Harvard University, Harvey Mudd College, Massachusetts Institute of Technology, North Carolina State University, Northwestern University, Princeton University, Purdue University, Rice University, Rose - Hulman Institute of Technology, Stanford University, Tufts University, University of California - Berkeley, University of California - Los Angeles, University of Illinois-Urbana-Champaign, University of Maryland-College Park, University of Massachusetts-Amherst, University of Michigan-Ann Arbor, University of Notre Dame, University of Pennsylvania, University of Southern California, University of Texas Austin, University of Washington, University of Wisconsin-Madison, Williams College, Worcester Polytechnic Institute (WPI), Yale University, MIT, CMU, Waymo, Uber, Facebook, Uber, Amazon, Cruise, Tesla, Argo AI, Baidu, DIDI, Zoox, Nutonomy, Nuro, Aptiv, Pony.Ai, Kodiak, Toyota, Nissan, GM, Ford, VW, Autonomous Car, Autonomous Driving, Robotics, Artificial Intelligence, Machine Learning, Deep learning, Perception, Prediction, Planning, Control

Keywords: TuSimple, Inc., Cambridge , Director of Perception - Autonomous Driving, Professions , Cambridge, Massachusetts

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