ML Platform - Full Stack Engineering Manager

San Diego, CA

Applications have closed

TuSimple

At TuSimple we are using autonomous trucks to pave a better path forward by solving the trucking industry’s most pressing challenges by enabling reliable, low-cost freight capacity as a service while setting a new standard for safety and fuel...

View company page

This opportunity is located in San Diego, CA.  Remote friendly during COVID-19 

You can apply to the job with this email address:  benchmarking_platform_engineering_manager_e9808e722us@ivy.greenhouse.io

 

TuSimple Company Overview

Come join a higher calling and find a deeper purpose!   

TuSimple is a fully commercialized autonomous trucking company.   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 live fleet of autonomous Trucks have fully evolved land freight.    TuSimple is leading the way by hiring the most talented researchers, engineers, and scientists.  

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 has created the first commercially viable Autonomous Freight Network. 

Opportunity Overview:

TuSimple is a self-driving technology company with a mission to bring automation to the trucking industry. TuSimple Simulation Team is one of the core forces that accelerates the process of autonomous truck development. We provide powerful, efficient, and safe testing environments to help validate, verify and benchmark the overall performance of self-driving technology.

You will work on both the back-end infrastructure and front-end web UIs of projects related to benchmarking the entire self-driving stack. Your work will greatly improve the efficiency of the research of our algorithm scientists. 

Role Responsibilities:

  • Lead a team of engineers to design and build a platform to analyze and evaluate every part of the self-driving stack, including pipelines and the web frontend
  • Develop on-premises cluster projects as well as utilizing public cloud computing infrastructure services
  • Build web-based tools to optimize manual workflows such as test cases design and result in analysis
  • Proactively identify problems and make technical suggestions on requirements

Experience & Skills Required:

  • 5-7 years experience building full-stack web applications
  • At least 2 years experience managing a high-performing team
  • Excellent skills in architecture design
  • Proven ability to coach/mentor junior engineers
  • Experience with modern JavaScript development, with frameworks such as Node.js/npm, Vue.js, react.js, etc 
  • Experience with web frameworks such as Flask and Django
  • Experience with cloud services, such as AWS
  • Excellent knowledge of different API mechanisms such as REST and RPC/gRPC
  • Experience in developing extensible APIs and highly maintainable services
  • Excellent knowledge of databases like PostgreSQL, Dynamodb, MongoDB
  • Passionate about discovering drawbacks of existing systems and working with users to improve their experience
  • BS/MS in Computer Science or related field

Preferred Skills and Experience:

  • Experience with creative and intuitive data visualization (eg, D3.js)
  • Development experience in large-scale data storage and processing
  • Passionate about self-driving vehicles

TuSimple Benefits

  • 100% employer-paid healthcare premiums for you and your family
  • Work visa sponsorship available
  • Relocation assistance available
  • Breakfast, lunch, and dinner served every day
  • Full kitchens on every floor with unlimited snacks, drinks, special treats, fruits, meals, and more
  • Stock options / equity
  • Gym membership reimbursement
  • Monthly team building budget
  • Learning/education budget  
  • Employer-paid life insurance
  • Employer-paid long and short disability

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.

Brown 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, Rev.com, Suki.ai, Verkada, DataVisor, People.ai, AlphaSense, Icertis, Casetext, Blue River Tech, Nvidia, Bright Machines, Orbital Insight, Brighterion, H2O, Intel, Clarifa, X.ai, 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, Bill.com, Justworks, Collibra, ActiveCampaign, Schoology, SalesLoft, Cylynt, 



Tags: ANN APIs Autonomous Driving AWS Computer Science Computer Vision D3 Databricks Data visualization Deep Learning Django DynamoDB Engineering Flask JavaScript Looker Machine Learning MongoDB Node.js Oracle Pipelines PostgreSQL React Research Robotics Splunk Tableau Testing

Perks/benefits: Career development Equity Fitness / gym Insurance Relocation support Snacks / Drinks

Region: North America
Country: United States

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.