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Shield AI

Builds autonomous aircraft for defense

Senior Staff Software Engineer, Autonomy - Software Autonomy

Robotics & Autonomous SystemsUpdated on Nov 14
Full-timeNew Delhi, Delhi, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor’s and Master’s degree in Aerospace, AI, Computer Science, Robotics, or a related engineering field is required.
  • At least 12 years of industry experience is required.
  • Ability to travel and stay deployed at customer sites across India and Asia is required.
  • At least 3 years of hands-on software writing experience for autonomy or robotics applications is required.
  • At least 2 years of experience working in a startup environment is required.
  • A strong technical background in software engineering is required.
  • Strong proficiency in writing modern C++ code is required.
  • Intermediate proficiency in writing Python code is required.
  • Ability to converse fluently in Hindi and English is required.

Responsibilities

  • Function as a hands-on technical lead and subject matter expert, collaborating with teammates and customers to build edge-AI and autonomy software for platforms across sea, air, and space.
  • Learn to use the Hivemind Enterprise Autonomy Software Development Kit.
  • Design tactical autonomy algorithms enabling unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.
  • Develop high-performance software modules incorporating planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.
  • Implement and test behavior architectures enabling multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.
  • Blend classical autonomy and machine-learning methods, including rule-based systems and reinforcement learning, to achieve robust, adaptive behavior.
  • Collaborate with perception, planning, simulation, hardware, and flight-test teams to integrate autonomy solutions on real-world platforms.
  • Deploy autonomy capabilities to real platforms and participate in field tests and flight demonstrations, validating performance in operationally relevant conditions.
  • Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.
  • Research and prototype algorithms, identify tactical capability gaps, and propose solutions that advance the autonomy roadmap.
  • Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.
  • Provide software handover and training to customers for their autonomy development efforts.
  • Develop and maintain technical documentation for customers and internal use.
  • Travel to and stay at customer sites as required for deployment, training, and flight testing; the posting cites typical travel of 10–15% and approximately 30% for these activities.

Desired Qualifications

  • Experience in the defense aviation or robotics industry is preferred.
  • Ability to travel to the USA for up to three months at a time for training is preferred.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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