Autonomy Systems Integration Engineer

7 days ago

San Diego, California, United States Shield AI Full time
About Shield AI

Shield AI is a leading defense technology company that aims to protect service members and civilians with intelligent systems. Founded in 2015, the company has developed a cutting-edge AI pilot, Hivemind, which has successfully flown various aircraft and drones. With offices in San Diego, Dallas, Washington DC, and abroad, Shield AI is actively supporting operations with the U.S. Department of Defense and U.S. allies.

Job Summary

We are seeking an experienced Autonomy Engineer to join our Hivemind Systems Integration team. The successful candidate will be responsible for integrating autonomy libraries, command applications, and developer tooling/infrastructure into a cohesive product that can be applied across a wide range of applications. The goal is to provide defect-free product releases at a regular cadence and ensure that internal and external customers can rapidly build upon Hivemind.

Key Responsibilities
  • Release a cohesive autonomy product (Hivemind) at a regular cadence, including core autonomy libraries, command and control frontends, and autonomy SDKs.
  • Support integration across the various Hivemind product teams and step in to help with implementation when required.
  • Identify, triage, and resolve issues that affect the entire autonomy stack.
  • Identify performance bottlenecks and design and implement solutions for them.
  • Integrate new autonomy features, implement end-to-end tests that exercise the new features, and release new software packages at a regular cadence. Implement tooling to help with regular releases.
  • Write and integrate new simulation and playback capabilities into standard developer workflows. This includes faster-than-realtime simulation, flight playback tooling, and scalable simulations.
  • Work with platform teams to deploy autonomy stack onto new platforms and hardware.
  • Support integration with 3rd party components.
  • Help triage and resolve bugs generated by downstream consumers.
  • Work with the autonomy teams to resolve issues that might require more in-depth solutions.
Requirements
  • Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or 4 years with a PhD; or equivalent work experience.
  • Deep experience with C++14 and beyond.
  • Experience with Python.
  • Experience with git or other modern version control systems (e.g. mercurial).
  • Experience working in large, complex, distributed systems.
  • You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
  • You have a willingness to jump out of your comfort zone to help out other teammates as needed.
  • Good written and verbal communication skills.
Preferred Qualifications
  • Experience with C++17 or greater.
  • Comfortable analyzing data to improve design and performance of a system.
  • Experience with hands-on debugging of complex software and autonomy systems.
  • Experience with robotics frameworks, such as ROS, and simulators (e.g. AirSim).
  • Experience with cloud-based systems and infrastructure, containerisation technologies, Kubernetes, etc.
  • Familiarity with CUDA, streaming video, hardware integration, networking, communications.
  • Understanding about a wide range of autonomy products.
Compensation

The salary range for this position is $157,080 - $235,620 per year. Regular employee positions include salary within the listed range, bonus, benefits, and equity. Temporary employee positions include hourly within the listed range, temporary benefits package (applicable after 60 days of employment). Interns/Military Fellows/Part-time are not eligible for bonus, benefits, or equity.

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.

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