Full-Time

Senior Perception Software Engineer

CV / ML

Confirmed live in the last 24 hours

Zipline

Zipline

1,001-5,000 employees

Autonomous delivery of medical supplies and goods

Food & Agriculture
Robotics & Automation
Healthcare

Compensation Overview

$180k - $225kAnnually

+ Equity Compensation + Overtime Pay + Discretionary Annual or Performance Bonuses + Sales Incentives

Senior

San Bruno, CA, USA

Category
Embedded Engineering
Software QA & Testing
Software Engineering
Required Skills
Python
C/C++
Computer Vision
Requirements
  • 5+ years of professional experience developing software for hardware products in a safety-critical field, e.g. aerospace, robotics, medical devices, autonomous vehicles
  • Solid foundation in computer vision; key areas of interest include: camera calibration; object detection, tracking and recognition; multiple view geometry, 3D computer vision and SfM/SLAM; visual odometry; activity recognition
  • Deep understanding of machine learning technology and experience with turning machine learning technologies into practical, state-of-the-art systems
  • Deep understanding of the theory and practice of modern machine learning techniques
  • Hands-on experience in computer vision and ML projects (2+ years)
  • Experience building reproducible data and machine learning pipelines
  • Experience working with production software. You are able to understand and contribute to high-quality software for a complex system
  • Strong 3D geometry, linear algebra, statistics and probability skills
  • Strong software engineering skills, with mastery of relevant languages like Python and C++
  • Generalist mindset, with the ability to work cross platform, from spooling up cloud compute services to optimizing for embedded systems
  • Experience deploying machine learning solutions on real robots
Responsibilities
  • Investigate and develop computer vision algorithms and ML models for the perception system
  • Design integrated computer vision solutions while running in real-time on constrained compute and are robust to varied weather and lighting conditions
  • Build machine learning models using deep learning for computer vision tasks such as semantic/panoptic segmentation, object detection, video understanding, etc.
  • Build software infrastructure to enable learning algorithms to leverage our large-scale fleet data
  • Understand the inner workings of neural networks to uncover edge cases and make safety determinations
  • Identify and mitigate bottlenecks in our machine learning development processes

Zipline focuses on logistics and delivery using autonomous technology to transport goods quickly and sustainably, primarily in the healthcare sector. The company delivers essential medical supplies, such as vaccines and medications, and has played a key role in public health initiatives like Ghana's COVID-19 vaccine rollout. Zipline's autonomous delivery platforms can handle a variety of tasks, ensuring access to critical resources wherever needed. The goal is to enhance delivery speed and equity in access to essential supplies, improving health outcomes and community well-being.

Company Stage

Series F

Total Funding

$791.5M

Headquarters

South San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

4%

1 year growth

10%

2 year growth

40%
Simplify Jobs

Simplify's Take

What believers are saying

  • Expansion in Nigeria shows growing acceptance of Zipline's technology in healthcare.
  • Partnerships with organizations like Elton John AIDS Foundation enhance healthcare supply chains.
  • Zipline's career pathway program in North Carolina builds a skilled drone workforce.

What critics are saying

  • Increased competition from companies like Wingcopter and Matternet.
  • Regulatory challenges in urban areas complicate airspace management and safety.

What makes Zipline unique

  • Zipline specializes in autonomous drone delivery for vital medical supplies.
  • The company has a strong presence in Africa, notably in Ghana and Nigeria.
  • Zipline's technology enables rapid delivery in remote and underserved areas.

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