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Senior Localization Engineer

TuSimpleFull-time$176k - $220kSan Diego, CaliforniaOct 23, 2023
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TuSimple is a global autonomous driving technology company headquartered in San Diego, California, with operations in the United States and Asia. Founded in 2015, TuSimple is developing a commercial-ready, fully autonomous (SAE Level 4) driving solution for long-haul heavy-duty trucks. TuSimple aims to transform the $4 trillion global truck freight industry through the company's leading AI technology, which makes it possible for trucks to drive safely autonomously, operate nearly continuously, and reduce fuel consumption by 10%+ relative to manually driven trucks. Global achievements include over 200 Patents, the world's first fully autonomous, 'driver-out' semi-truck run on open public roads in the U.S. and China, and development of the world's first Autonomous Freight Network (AFN).

About the Role: 

This Localization Engineer role is responsible for supporting localization and pose estimation function of operating a fully autonomous truck, including but not limited to managing and coordinating development, task and project planning as well as individual contribution to localization and mapping algorithms.   The candidate should possess sufficient background domain knowledge regarding localization and mapping, such as state-of-the-art probabilistic methods, SLAM algorithms and deep learning algorithms.

What You Will Do:

  • Manage and coordinate algorithm development initiatives
  • Be self-sufficient and motivated to solve difficult problems
  • Mentor and manage direct report, and assess their performances and goals
  • Formulate ill-defined problems with data driven approach for self-driving truck solutions
  • Able to work independently with minimum supervision and deliver  high-quality and reliable code for real-time application in a timely manner
  • Collaborate with other teams to conduct integration and tests

What You Will Need:

  • Minimum 6 years of applicable work experience
  • Strong coding skills in C++ and optionally python
  • Minimum Bachelor’s Degree is required for this role, master degree or above preferred
  • Ability to work at TuSimple’s San Diego Headquarters at least three days per week. 
  • Solid knowledge and proven practical experience in one or more of the following fields:
    • Sensor fusion
    • Optimization
    • Probabilistic methods
  • Practical experience in processing large-scale and real-world data

What Will Set You Apart:

  • Master’s Degree  or PhD in Robotics, Computer Science, Machine learning or other related fields is preferred. 
  • Publications  in related conferences or/and journals preferred. 

Our Benefits:

We take pride in providing a robust, well-rounded benefits package available to eligible employees. For this reason, we offer benefits for healthcare, tax savings, well-being, income protection, voluntary benefits and paid holidays such as...

  • 100% employer-paid healthcare premiums for your spouse or domestic partner, your dependents, and you 
  • Unlimited snacks, drinks, special treats, fruits, meals, and more available
  • Monthly gym membership reimbursement
  • Monthly team building budget
  • Free Coursera enterprise account
  • Annual tuition reimbursement 
  • Employer-paid life insurance, long, and short term disability

Pay Transparency
 
Please note: Individual salaries will vary within the following range based on factors such as location, business needs and candidate's skills, education, and experience.

Salary Range
$176,000$220,000 USD

Our Values:

  • Partner: We share, collaborate, communicate, and work together with colleagues, customers, and partners.
  • Persevere: We are agile, adaptable, and persist through adversity to achieve objectives and follow through our commitment.
  • Pioneer: We innovate, take informed risks, and set the pace for autonomous freight and its network.
  • Protect: We safeguard the company's people, assets, reputation, partners, and how our innovations impact communities.

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.

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