Full-Time

Senior/Principal Engineer

Prediction

Confirmed live in the last 24 hours

Motional

Motional

1,001-5,000 employees

Develops fully driverless robotaxis for urban transport

Robotics & Automation
Automotive & Transportation

Compensation Overview

$146.6k - $266.5kAnnually

+ Bonus + Equity

Senior, Expert

Remote in USA

Remote work supported within the United States, with occasional travel.

Category
Embedded Engineering
FinTech Engineering
Software Engineering
Required Skills
Python
Neural Networks
Pytorch
Machine Learning
C/C++
Data Analysis
Requirements
  • Bachelor's, Master's, or Ph.D. degree preferred in Machine Learning, Robotics, Computer Science, Mechanical Engineering, Applied Mathematics, or a related field
  • Experience designing, training, analyzing, and deploying neural networks with PyTorch or other modern deep learning frameworks
  • 5+ years of professional software development experience
  • Prior experience in autonomous vehicles or related robotics field
  • Experience owning and leading technical development on features from problem formulation through implementation, testing, and real-world deployment
Responsibilities
  • Design and iterate on the latest deep learning architectures for scene understanding and behavioral prediction
  • Perform deep analysis of our extensive self-driving datasets to ensure critical data is well represented in our model training
  • Work with adjacent perception, planning, and mapping teams to ensure our behavioral models integrate seamlessly into the entire AV stack
  • Collaborate with our inference acceleration engineers to ensure model deployment remains fast and scalable to future vehicle platforms
  • Work with our evaluation and systems engineering teams to test model releases on critical driving behaviors, both in simulation and on the road
  • Help create and reinforce a culture of inclusion, innovation, and excellence
  • Develop a variety of deep learning algorithms for scene encoding and behavior prediction, with code contributions in both Python and C++
  • Lead and maintain efficient training and testing pipelines to optimize end-to-end deployment time
  • Deploy solutions directly to our autonomous vehicles and work with partner teams to analyze their impact
  • Drive goal achievement for the prediction team consistently
  • Define technical roadmap for cutting-edge prediction and scene encoding systems, primarily using machine learning
  • Lead cross-team efforts and serve as a lead engineer directly responsible for landing large, multi-quarter initiatives involving the work of several engineers
  • Contribute toward building a high-performing team, serving as a role model to those around you in at least one technical area and one behavioral area
  • Provide a vision for not only our team but surrounding teams as well
Desired Qualifications
  • 3+ years of software development experience
  • 2+ years of Deep Learning product development experience preferred
  • 1+ years of C++ software development experience preferred
  • Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
  • Experience mentoring and collaborating with others
  • 7+ years of software development experience
  • 4+ years of Deep Learning product development experience preferred
  • 2+ years of C++ software development experience preferred
  • Effectiveness at leading and executing large, complex technical initiatives
  • Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes
  • Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, CoRL, IROS, ICRA, etc.)
  • Strong programming skills in C++ and/or CUDA programming

Motional develops fully driverless vehicles, specifically robotaxis, aimed at transforming urban transportation. Their all-electric robotaxis are designed to navigate complex city environments safely and efficiently. Motional partners with ride-hailing and delivery companies, providing them with advanced autonomous vehicle technology to enhance their services and reduce operational costs. A standout feature is their Command Center, which allows for real-time tracking of each vehicle, enabling human agents to monitor performance and ensure passenger safety. Unlike many competitors, Motional focuses on integrating its technology into existing mobility networks, making driverless vehicles a practical option for urban areas. The company's goal is to make autonomous transportation safe, reliable, and accessible, while fostering innovation in the high-tech ecosystem.

Company Stage

Private

Total Funding

$5B

Headquarters

Boston, Massachusetts

Founded

2020

Growth & Insights
Headcount

6 month growth

0%

1 year growth

7%

2 year growth

6%
Simplify Jobs

Simplify's Take

What believers are saying

  • Motional raised $475 million from Hyundai, indicating strong financial backing.
  • Partnerships with Uber and Shake Shack expand Motional's market reach in delivery services.
  • Increased investment in robotics highlights potential funding opportunities for Motional.

What critics are saying

  • Motional laid off 550 employees, indicating financial and operational challenges.
  • Aptiv reduced its stake in Motional, impacting operational capabilities.
  • Delays in autonomous vehicle deployment to 2026 could hinder market entry plans.

What makes Motional unique

  • Motional offers a state-of-the-art Command Center for real-time robotaxi tracking.
  • The company focuses on all-electric, driverless robotaxis for urban environments.
  • Motional partners with ride-hailing services to integrate autonomous vehicles into their operations.

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Benefits

401K: 401K with up to 7.5% match

time Off: Unlimited sick and vacation days

Transportation: Commuter and fitness benefits

Healthcare: 3 plan options to support diverse needs

IVF: Fertility assistance