Harbinger Motors Inc.

Harbinger Motors Inc.

Sr. Computer Vision Engineer (Deep Learning)

Mountain View, CA · Senior

Sponsorship not specified$180k-$240kDetected 69 days ago
PythonC++LinuxDeep LearningTensorFlowPyTorchData EngineeringComputer VisionProblem Solving

About the role

  • Harbinger: Familiar Form, Revolutionary Foundation.
  • The successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms.
  • This position requires a balance of deep technical expertise, strong analytical thinking, and cross-functional collaboration.

Responsibilities

  • Maintain and continuously improve existing models by optimizing performance, addressing issues, and refining architecture and algorithms.
  • Perform detailed root cause analysis of production issues and develop sustainable, high-quality solutions.
  • Optimize model performance with a focus on latency, efficiency, and resource utilization for real-time embedded deployment.
  • Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.
  • In-depth understanding of training and inference pipelines, including data loading, augmentation, and loss function design.
  • Harbinger's best-in-class team of EV, battery, and drivetrain experts have pooled their deep experience to bring a first-of-its-kind EV platform to support the growing demand for medium-duty EVs and Hybrids.

Requirements

  • Strong proficiency in Python and a deep understanding of software design principles and development best practices.
  • Proven ability to work effectively in a collaborative, cross-functional team environment.

Nice to have

  • Proficiency in model optimization techniques such as quantization, pruning, and knowledge distillation.
  • Doctorate (Ph.D.) in Computer Science, Artificial Intelligence, or related field is a plus.
  • Strong programming experience in Python and/or C++ within Linux development environments.
  • Familiarity with automotive perception workflows, datasets, and evaluation frameworks (e.g., KITTI, Waymo, Euro NCAP)
  • Complimentary Meals & Stocked Kitchens
  • Expertise in PyTorch (preferred) or TensorFlow for large-scale model development and experimentation.

Compensation

  • California Pay Range
  • $180,000 - $240,000 USD

Benefits

  • Comprehensive Health, Dental & Vision (HDV) - 100% employee covered
  • Early-stage Stock Options
  • Robust Retirement Savings (401k, HSA, FSA)
  • Generous Paid Time Off (PTO) & Parental Leave
  • Annual Vacation Bonus
  • Wellness & Fertility Benefits
  • Cell Phone Stipend
  • If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and
  • This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information.

Company info

  • Harbinger is an American commercial electric vehicle (EV) company on a mission to transform an industry starving for innovation.

Equal opportunity

  • Harbinger is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
  • Harbinger is committed to ensuring that our hiring process is accessible for persons with disabilities.
  • If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at info@harbingermotors.com.
  • Harbinger may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data").

This listing is sourced directly from Harbinger Motors Inc.'s careers page and normalized into a canonical job model.