Staff Engineer, Software (R3175) - Shield AI

Job Title: Staff Engineer, Software (R3175)
Job Location: Washington DC Metro Area
Job Listing URL: https://jobs.lever.co/shieldai/b28eff80-7583-4d8c-abbc-9f08981f02d4
Job Description: Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent, autonomous systems. Its products include Hivemind Enterprise—EdgeOS, Pilot, Commander, and Forge—as well as V-BAT and Sentient Vision Systems (wide-area motion imaging software). With offices in San Diego, Dallas, Washington, D.C., Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI’s technology actively supports U.S. and allied operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X and Instagram.

JOB DESCRIPTION:
This position is perfect for an individual who loves technology, solving complex challenges, wants to develop software for multiple projects, and write code with a motivated, diverse team. Shield AI is pushing the envelope by applying advanced AI solutions to real hardware systems. An ideal candidate should aspire to be a part of this industry-changing team developing and deploying advanced technology that can truly make an impact.

Shield AI is looking to continue to push the envelope by teaming traditional autonomous systems algorithms and deep reinforcement learning-based solutions to create an unmatched capability and speed to deployment technology base.
What You'll Do:
As a Software Engineer on this team, you will contribute to teams at the intersection of artificial intelligence, task & motion planning, and controls.
You will work closely with talented engineers to architect solutions, set standards for software engineering, drive strategic technical improvements, and mentor other engineers.
Write Python and C++ software to help develop tooling and automated testing and analysis for autonomy solutions.
Work with Subject Matter Experts to understand the customer demand and implement software solutions that meet their needs.
Collaborate with Systems and Test engineers to develop fully tested, integrated solutions.
Required Qualifications:
BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
Ability to develop, benchmark, debug, and deploy software-based algorithms.
Demonstrated problem solving skills by applying a scientific approach.
2+ years of people leadership experience.
Experience with Python, C++, and/or similar languages.
Experience working on projects with 10+ contributors.
Offers fast, efficient, effective problem-solving approaches.
Exceptional collaborator and communicator.
Comfort within Linux environments.
Hard-working, trustworthy teammate.
Exhibits holding themselves and others to high standards.
Ability to obtain a SECRET clearance.
Experience in a collaborative development environment, focused on continuous integration/delivery & test-driven development.
Strong knowledge of modern software engineering best practices.
Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others.
Strong organizational skills.

Preferred Qualifications:
MS or greater in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
Experience with Docker or similar containerization technologies.
Experience with modern infrastructure technologies (Kubernetes, CI/CD).
Experience with web-service technologies like gRPC, REST APIs, message queues (ActiveMQ, ZeroMQ), etc.
Experience with Python data analysis tooling like Pandas, NumPy, Dagster, etc.
Familiarity with C++ tooling like CMake and Conan.
Experience with Reinforcement Learning and other Machine Learning techniques.
Understanding of robotics technologies related to autonomous behavior development e.g. task allocation or planning.
Understanding/Experience with unmanned system technologies and accompanying algorithms (specifically air domain).
Active SECRET clearance.
Experience with UCI and OMS Standards.