Senior Staff Engineer, Software Autonomy (R5125)

Posted 23 Days Ago
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New Delhi, Delhi, IND
In-Office
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Our mission is to protect service members and civilians with intelligent systems.
The Role
Lead design and implementation of autonomy and edge-AI software for air, land, and sea platforms. Develop tactical autonomy algorithms, integrate software with hardware, deploy and field-test capabilities, analyze mission data, mentor teammates, collaborate cross-functionally, and support customers and defense programs.
Summary Generated by Built In
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
The Senior Staff Software Engineer, Autonomy will function as a hands on technical lead / subject matter expert and collaborate with Shield AI teammates / customers to build edge-AI and autonomy software for platforms across sea, air, and space. This role involves working closely with customers to understand their requirements, writing code, developing new capabilities and ensuring successful software/hardware integration, and mentoring teammates.

What you'll do:

  • Examples of Projects You will Work On: 
  • Autonomous teaming drones.
  • Teaming between helicopters and drones.
  • Autonomy on Robodogs.
  • AI Pilots for Fighter Jets
  • and more!
  • Learn Hivemind: Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit.
  • Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.
  • High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.
  • Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.
  • Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.
  • Hardware Software Integration:
  • Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.
  • Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.
  • Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.
  • R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.
  • Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.
  • Handover / Training: Provide software handover and training to customers for their autonomy development efforts.
  • Documentation: Develop and maintain technical documentation for customer as well as internal use.
  • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Travel to and stay at customer sites as required for deployment / training / flight testing etc. (~30% travel).

Required qualifications:

  • Bachelor’s and Masters degree in Aerospace, AI, Computer Science, Robotics or a related engineering field. 
  • 12+ years of experience of industry experience
  • Ability to travel and stay deployed at customer sites across India/Asia.
  • 3+ years of experience hands on writing software for autonomy/robotics applications.
  • 2+ years of experience working in a startup environment. 
  • Strong technical background in software engineering. 
  • Strong proficiency in writing modern C++ code. 
  • Intermediate proficiency in writing Python code. 
  • Excellent problem-solving and analytical skills. 
  • Strong communication and interpersonal skills. 
  • Ability converse fluently in Hindi and English.

Preferred qualifications:

  • Experience in the defense aviation or robotics industry.  
  • Ability to travel to USA for up to 3 months at a time for training.

#LI-LD2
#LE

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary 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. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

Skills Required

  • Bachelor's and Master's degree in Aerospace, AI, Computer Science, Robotics, or related engineering field
  • 12+ years of industry experience
  • Ability to travel and stay deployed at customer sites across India/Asia
  • 3+ years hands-on software development for autonomy/robotics applications
  • 2+ years working in a startup environment
  • Strong technical background in software engineering
  • Strong proficiency in writing modern C++ code
  • Intermediate proficiency in Python
  • Excellent problem-solving and analytical skills
  • Strong communication and interpersonal skills
  • Ability to converse fluently in Hindi and English
  • Experience in the defense aviation or robotics industry
  • Ability to travel to USA for up to 3 months at a time for training

What the Team is Saying

Dylan
Mo
Willy
Michael
Vibhav
Kirby
Ryan
Evan

Shield AI Compensation & Benefits Highlights

  • Healthcare Strength Company materials describe excellent medical, dental, and vision coverage alongside a mental‑health EAP. Site perks such as an onsite gym in DC and a gym discount in San Diego support a health‑focused offering.
  • Retirement Support Careers materials highlight a 401(k) with company match as part of the standard package. A Total Rewards overview emphasizes retirement features within a broader, transparent compensation view.
  • Career-Linked Recognition & Rewards Compensation for in‑demand technical and senior go‑to‑market roles is described as competitive, with visible engineering ranges and top‑end packages. This points to meaningful upside tied to role, level, and scarce skills.

Shield AI Insights

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The Company
HQ: San Diego, CA
Year Founded: 2015

What We Do

At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.

Why Work With Us

Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.

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About our Teams

Shield AI Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQSan Diego, CA
United Arab Emirates
Arlington, VA
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Frisco, Texas
Ukraine
London
Melbourne, Victoria
Taiwan, Province of China
Waltham, MA
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