Full-Time

Principal Software Engineer

Apis and Infrastructure, R2549

Updated on 5/17/2024

Shield AI

Shield AI

501-1,000 employees

AI-driven autonomous aircraft and drone operations

AI & Machine Learning
Aerospace

Senior

San Diego, CA, USA

Required Skills
TCP/IP
gRPC
Kubernetes
Python
Go
REST APIs
Requirements
  • Typically requires a minimum of 15 years of related experience with a Bachelor’s degree; or 14 years and a Master’s degree; or a PhD with 12 years experience; or equivalent experience.
  • 10+ years of hands-on experience in designing and developing production quality software systems.
  • 3+ years demonstrated experience with cloud computing solutions and architecture, with a focus on Kubernetes and container orchestration
  • 3+ years experience developing and distributing web APIs, including proficiency with gRPC and RESTful APIs.
  • Experience with Authentication and Authorization frameworks and protocols (e.g., Keycloak, OAuth2, etc.)
  • Advanced experience with Golang and Python
  • Solid understanding of network protocols (UDP, TCP), with experience in designing and implementing networked applications.
  • BS/MS in Computer Science, similar degree, or equivalent practical experience
  • Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
Responsibilities
  • Implement robust APIs and middleware solutions to facilitate seamless interaction between simulated and real agents.
  • Drive the deployment and configuration of agents on various hardware platforms, from embedded devices to cloud servers, ensuring efficient resource utilization and performance optimization.
  • Define requirements and specifications for the hybrid infrastructure needed for the HMD Orchestration, Analysis, Reinforcement Learning and Simulation products, considering factors such as networking, communication protocols, middleware integration, load balancing, scalability, and security.
  • Contribute to the integrated installer command line tool and APIs for Hivemind software
  • Implement comprehensive documentation and tutorials to onboard internal engineers and external clients quickly, providing clear instructions on how to use HMD products to develop and deploy autonomy solutions effectively.

Shield AI is committed to applying artificial intelligence for autonomous drone and aircraft operations, focusing on applications in the defense sector as well as potential commercial uses. This company is distinguished by its forward-thinking in autonomous flight technology, particularly with its AI pilot system, Hivemind, which enables operation without GPS, communications, or human pilots. Its collaborations with the U.S. Department of Defense and ongoing field deployments in various combat scenarios illustrate the company’s role in leading technological advancement in AI flight systems, making it an ideal workplace for those passionate about cutting-edge AI and aerospace technology.

Company Stage

Series F

Total Funding

$940.7M

Headquarters

San Diego, California

Founded

2015

Growth & Insights
Headcount

6 month growth

11%

1 year growth

21%

2 year growth

108%

Benefits

Medical Insurance Coverage

Long Term Disability Insurance

Health Care FSA and Dependent Care FSA

Employee Assistance Program

Subsidized Gym Membership

Pet Insurance

Competitive Compensation

Retirement Services

Life Insurance

Parental Leave

Bereavement Support

Flexible Work Hours

PTO

Paid Holidays

Commuter Benefits

Relaxed Dress Code

Yearly Swag Items

Unlimited Snacks

Bottomless Beverages

Annual Celebrations

Work From Home Benefits

Standing Desks and Widescreen Monitors