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Staff Engineer/Tech Lead Manager, Big Data Infrastructure

Company: TuSimple, Inc.
Location: Omaha
Posted on: January 16, 2022

Job Description:

Join TuSimple and help change the way the world moves. Together we're making freight transportation safer, more efficient, and more environmentally friendly.This role could be located in San Diego, CA/SF Bay Area/Seattle,WA, remote work friendly during COVID-19.
For immediate consideration please email your resume to:engineering_manager__big_data_infrastructure_af1f392d2us@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 truck driving platform!
Job DescriptionHD Map data is the major offline data on a running autonomous driving vehicle that makes L4 autonomous driving possible. As an Engineering Manager of our Big Data Infrastructure, you will lead the design, development and deployment of our critical infrastructure systems and frameworks for storing large volumes of both structured and unstructured data, and provide scalable services such as search, data processing, and analytics. Your work will empower the whole autonomous driving pipeline, both the algorithm research side and the engineering development side, with access to a large volume and variety of map data.

  • Lead architecture and development of robust and scalable data management systems for storing and indexing large volumes of both structured and unstructured data.
  • Lead development of robust and highly scalable data infrastructure for searching.
  • Lead development of data infrastructure and framework for processing data at a very large scale.
  • Coordinate cross-function and cross-team efforts to stay on track with team level and company level OKRs.
  • Develop and track key metrics for quality and team performance, drive improvement.
  • Drive day to day execution using agile scrum development process to maintain a consistent sprint velocity.
  • Provide mentoring to both junior and senior engineers in their progress of career goals.
    • At least 5+ years of hands-on experience in developing and launching very large-scale data infrastructure production systems.
    • Experienced engineering manager with at least 3+ years of experience managing and growing a team of engineers.
    • Proven track record of architecting large-scale data infrastructure systems using technologies like NoSQL database, Elasticsearch, Kafka, Kubernetes, Hadoop, Spark, and similar.
    • Experience in deploying cloud infrastructure at scale on public cloud platforms such as AWS.
    • Strong sense of ownership, effective at driving projects and comfortable getting your hands dirty when needed.
    • Ability to communicate effectively to different audiences - engineers, partner teams, stakeholders.
      • Visa sponsorship is available for this position
      • Opportunity for professional growth and career advancement
      • Competitive salary and benefits
      • Up to a 30% discretionary bonus.
      • Daily breakfast, lunch, and dinner
      • Shape the landscape of autonomous driving
      • 100% Company paid Medical, Vision, and Dental insurance plan
      • Company 401(K) program
      • Company paid life insurance
      • Company paid education/training.
      • Company paid gym membership.
        TuSimple 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.This role could be located in San Diego, CA/SF Bay Area/Seattle,WA, remote work friendly during COVID-19.
        For immediate consideration please email your resume to:engineering_manager__big_data_infrastructure_af1f392d2us@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, Anduril Industries, Sift, Nauto, Tempus, Salesforce, Automation Anywhere, SenSat, Phrasee, Defined Crowd, Pymetrics,Siemens, Socure, AEye,,, Verkada, DataVisor,, AlphaSense, Icertis, Casetext, Blue River Tech, Nvidia, Bright Machines, Orbital Insight, Brighterion, H2O, Intel, Clarifa,, Zebra Medical Vision, Iris AI, Freenome, Neurala, Akamai, Zoho, ServiceNow, SalesForce, Oracle, Tableau,Splunk,Cvent, Veeam,Atlassian, DocuSign, Dropbox, Veeva Systems, Proofpoint, Cornerstone, Qualtrics. New Relic, Okta, Intralinks, MuleSoft, Freshworks, Slack, Twilio, Anaplan, Stripe, Workfront, Smartsheet, Zuora, OutSystems, Coupa, Cylance, Elastic, Zoom, SailPoint, BlackLine, iCIMS, Digitate, Qualys, Kareo, DataStax, DiscoverOrg, Siteimprove, Druva, Centrify, Looker, SimilarWeb, Odoo, Kyriba, Sumo Logic, Sisense, PagerDuty, DigitalOcean, Liquid Web, Zaloni, Databricks, ServiceTitan, Fastly, SnapLogic, Mendix, Couchbase, Egnyte, Seismic,, Justworks, Collibra, ActiveCampaign, Schoology, SalesLoft, Cylynt,

Keywords: TuSimple, Inc., Omaha , Staff Engineer/Tech Lead Manager, Big Data Infrastructure, Executive , Omaha, Nebraska

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