In this role, you will help drive the successful adoption of complex solutions by shaping technical approaches, engaging with customers, and guiding programs from concept through deployment.

Key responsibilities include:

• Owning the technical pre-sales cycle, running deep-dive discovery sessions, crafting solution architectures, and delivering demos and proof-of-concepts that showcase Hivemind's autonomy, AI/ML, and robotics capabilities.

• Serving as the customer's trusted technologist, translating mission needs into achievable engineering tasks, answering tough questions, and rapidly clearing technical blockers during capture.

• Designing integrations, working side-by-side with customer engineering teams to embed Hivemind on UAS, UGV, maritime, and fixed-site platforms, ensuring performance, security, and compliance.

• Creating crisp technical collateral, presentations, specs, FAQs, roadmaps, and demo scripts that accelerate decision-making and shorten sales cycles.

• Collaborating with Product & Engineering, relaying field feedback, influencing the roadmap, validating new features, and vetting out-of-plan opportunities for technical feasibility.

• Supporting proposals and RFIs, providing architectures, data sheets, and quantified performance claims that strengthen our bids.

• Championing Hivemind expertise globally, training regional BD teams and embedding with customers on-site for technical interchange meetings, flight tests, and system bring-ups.

• Tracking the landscape, staying current on autonomy and AI innovations, competitor offerings, and emerging standards to keep Shield AI in front.

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As a Senior Engineer, you will be dedicated to Shield AI's next-generation aircraft program, adopting our existing infrastructure to advance new capabilities. You'll design, build, and scale C++-based simulation tools that test and validate the full aircraft software stackrom autonomy to avionicsefore it ever flies. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.

Responsibilities:

• Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++.
• Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
• Integrate core physics, dynamics, and system models (aerodynamics, propulsion, controls) into a unified simulation environment.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Develop infrastructure for CI integration, parallel simulation execution, and automated regression testing.
• Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.
• Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI.
• Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering.

Requirements:

• BS or MS in Computer Science, Aerospace, Robotics, or related field.
• 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.
• Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.
• Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
• Understanding of rigid-body dynamics, kinematics, and basic flight mechanics.
• Familiarity with DevOps-integrated simulation workflows, including CI/CD and containerized environments.
• Ability to debug complex build and runtime environments (CMake, dependency management, logging, profiling tools).
• Strong collaboration and communication skills across software, hardware, and systems disciplines.

Preferred Qualifications:

• Experience with distributed or cloud-based simulation (e.g., cluster orchestration, Kubernetes).
• Working knowledge of Python for data analysis, test automation, or simulation orchestration.
• Familiarity with sensor and actuator modeling, and integrating avionics or autonomy software within simulation.

Salary: $158,000 - $215,000 a year

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Develop AI & Autonomy software capabilities using Hivemind for unmanned platforms across air/sea/space.

Examples of Projects You will Work On:

• Autonomous teaming drones.
• Teaming between helicopters and drones.
• Autonomy on Robodogs.
• AI Pilots for Fighter Jets

Enable customers to integrate Hivemind autonomy to their vehicles/platforms.

Debug software/API integration issues.

Deploy Hivemind AI infrastructure at customer sites.

Provide technical training to customers for their autonomy development efforts.

Collaborate with the product and engineering teams to address customer feedback and improve products.

Develop and maintain technical documentation

Travel to and stay at customer sites as required for deployment / training / flight testing etc. (~30% travel).

Required Qualifications:

• Bachelor’s degree in Engineering, Computer Science, or a related field.
• 4+ years of experience of industry experience or 2+ years of experience plus a master's degree.
• Ability to travel and stay deployed at customer sites across India.
• 3+ years of experience in an integration/applications engineering role.
• 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:

• Ability to travel to USA for up to 3 months at a time for training.

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The successful candidate will work closely with the Business Development and Strategic Engagement teams to drive growth and achieve measurable results.

Key responsibilities include:

• Developing and implementing comprehensive capture strategies tailored to specific U.S. Navy opportunities
• Identifying and qualifying new business opportunities within the U.S. Navy, leveraging market analysis and customer insights
• Establishing and maintaining strong relationships with key decision-makers, stakeholders, and influencers within the U.S. Navy and associated program offices
• Leading the proposal development process in collaboration with the BD Operations team
• Conducting in-depth analyses of competitors to understand their strengths and weaknesses
• Identifying potential risks associated with capture pursuits and developing mitigation strategies
• Partnering with the Strategic Engagement team and Solutions Engineers to secure and manage opportunities across the U.S. Navy
• Representing Shield AI at conferences, trade shows, and strategic events

Required qualifications include:

• Bachelor’s degree in Business, Marketing, Engineering, or a related field
• A combined total of over 12 years of experience in military service and sales, with a focus on the U.S. Navy
• Air aviation background with a deep understanding of the government acquisition sales cycle
• Proven track record of successfully capturing and winning contracts within U.S. Navy agencies
• In-depth understanding of defense acquisition processes and the Department of Defense procurement lifecycle

Preferred qualifications include:

• Experience with Unmanned Aircraft Systems (UAS) and autonomy software
• Experience in the U.S. Navy, with established relationships within the service and associated markets
• Master of Business Administration (MBA) or equivalent graduate degree

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You'll design, build, and scale the models and infrastructure needed to use Shield's simulation platform for qualified software validation efforts. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.

Responsibilities

• Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++.
• Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
• Implement scenario simulation tooling and formal test infrastructure.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.
• Perform verification & validation (V&V) analysis activities on model tools.
• Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI.
• Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering.

Requirements

• BS or MS in Computer Science, Aerospace, Robotics, or related field.
• 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.
• Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.
• Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
• Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.

Preferences

• Understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics.
• Familiarity with sensor and actuator modeling and integrating avionics or autonomy software within simulation.
• Working knowledge of Python for data analysis, test automation, or simulation orchestration.
• Ability to debug complex build and runtime environments (CMake, CPM, dependency management, logging, profiling tools).
• Strong collaboration and communication skills across software, hardware, and systems disciplines.

$125,000 - $200,000 a year

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Develop AI & Autonomy software capabilities using Hivemind for unmanned platforms across air/sea/space.

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 that we aren’t allowed to publicly share!

Enable customers to integrate Hivemind autonomy to their vehicles/platforms.

Debug software/API integration issues.

Deploy Hivemind AI infrastructure at customer sites.

Provide technical training to customers for their autonomy development efforts.

Collaborate with the product and engineering teams to address customer feedback and improve products.

Develop and maintain technical documentation.

Travel to and stay at customer sites as required for deployment / training / flight testing etc. (~30% travel).

This role requires a strong technical background in software engineering, with experience in modern C++ and Python programming languages.

The ideal candidate will have a bachelor’s degree in Engineering, Computer Science, or a related field, and at least 7 years of industry experience or 4 years of experience plus a master’s degree.

Experience in the defense aviation or robotics industry is preferred, as well as the ability to travel to the USA for up to 3 months at a time for training.

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This role involves working closely with customers to understand their requirements and ensuring successful product integration for AI & Autonomy development.

Responsibilities

• Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit.
• Deploy Hivemind AI infrastructure at customer sites.
• Provide technical training to customers for their autonomy development efforts.
• Assist customers in integrating Hivemind autonomy to their vehicles/platforms.
• Help customers debug software/API integration issues.
• Collaborate with the product and engineering teams to address customer feedback and improve products.
• Develop and maintain technical documentation and training materials
• Assist the sales team in answering complex technical queries from customers.
• Travel to and stay at customer sites as required (~30% travel).

Examples of Projects You will Work On:

• Autonomous teaming drones.
• Teaming between helicopters and drones.
• Autonomy on Robodogs.
• AI on Fighter Jets… and more that we aren’t allowed to publicly share!

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or a related field.
• 7+ years of experience of industry experience
• 3+ years of experience in an integration/applications engineering role
• 3+ 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.

Preferred qualifications:

• Experience in the defense aviation or robotics industry.
• Experience building and running a small enterprise software applications/solutions engineering team.

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The successful candidate will work closely with the Business Development and Strategic Engagement teams to drive growth and achieve measurable results.

Responsibilities:

• Capture Strategy Development: Develop and implement comprehensive capture strategies tailored to specific U.S. Navy opportunities, ensuring alignment with Shield AI's 5-year strategic plan.
• Opportunity Identification: Identify and qualify new business opportunities within the U.S. Navy, leveraging market analysis and customer insights.
• Customer Engagement: Establish and maintain strong relationships with key decision-makers, stakeholders, and influencers within the U.S. Navy and associated program offices.
• Proposal Oversight: Lead the proposal development process in collaboration with the BD Operations team, ensuring compliance with customer requirements and alignment with Shield AI's value propositions.
• Competitive Analysis: Conduct in-depth analyses of competitors to understand their strengths and weaknesses, enabling Shield AI to position itself advantageously.
• Risk Management: Identify potential risks associated with capture pursuits and develop mitigation strategies to address them.
• Cross-Functional Collaboration: Partner with the Strategic Engagement team and Solutions Engineers to secure and manage opportunities across the U.S. Navy.
• Industry Engagement: Represent Shield AI at conferences, trade shows, and strategic events, proactively organizing and facilitating high-level interactions to promote the company's mission and capabilities.
• Stakeholder Communication: Regularly update senior leadership on capture progress, key milestones, and any issues that may impact the pursuit.

Requirements:

• Bachelor’s degree in Business, Marketing, Engineering, or a related field.
• A combined total of over 12 years of experience in military service and sales, with a focus on the U.S. Navy.
• Air aviation background with a deep understanding of the government acquisition sales cycle.
• Proven track record of successfully capturing and winning contracts within U.S. Navy agencies.
• In-depth understanding of defense acquisition processes and the Department of Defense procurement lifecycle.
• Self-motivated and results-oriented, with demonstrated success in meeting and exceeding critical goals and deadlines.
• Experience owning and closing deals, with strong negotiation and contract management skills.
• Excellent communication and presentation skills.
• Ability to lead and motivate cross-functional teams in a high-pressure, deadline-driven environment.
• Willingness and ability to travel frequently for customer engagements at various locations, including internal and external sites and industry trade shows.
• Active or eligibility for a U.S. Department of Defense security clearance.

Preferences:

• Experience with Unmanned Aircraft Systems (UAS) and autonomy software.
• Experience in the U.S. Navy, with established relationships within the service and associated markets.
• Master of Business Administration (MBA) or equivalent graduate degree.

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As an expert in the Hivemind Autonomy Software Development Kit (SDK), you will maintain a deep understanding of the SDK's features, updates, and use cases to guide the team and assist customers.

Key responsibilities include: Guiding, mentoring, and developing a team of applications engineers to provide expert support and troubleshooting for customers Managing, prioritising, and delegating customer issues Contributing via code/design/solutions/architecture to internal and customer projects Supporting Business Development in pre-sales and post-sales activities as a technical resource Ensuring timely and effective technical assistance, troubleshooting, and onboarding support for customers implementing the SDK Overseeing and contributing to the creation and continuous improvement of technical resources, such as user guides, FAQs, and knowledge bases Acting as an escalation point for complex customer issues and providing hands-on support when necessary Coordinating closely with product development, sales, and customer success teams to ensure customer feedback informs SDK improvements and new features Acting as a liaison between customers and internal teams to advocate for customer needs and communicate product updates Developing and growing your teammates through mentorship and training Setting performance goals, conducting regular evaluations, and fostering a collaborative team environment Developing and refining support processes to improve team efficiency, customer satisfaction, and response times Tracking and reporting on key metrics related to customer engagement, issue resolution, and team performance to stakeholders

Examples of projects you will lead include: Autonomous teaming drones Teaming between helicopters and drones Autonomy on Robodogs4 AI on Fighter Jets, and more

Required qualifications: Bachelor's degree in Aerospace Engineering, Computer Science, or a related field 10+ years of industry experience 5+ years of experience in a customer-facing engineering role 5+ years of experience as an engineering manager 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

Preferred qualifications: Experience in the defence aviation or robotics industry Experience building and running a 5–7-person enterprise software applications/solutions engineering team

Our international teammates receive a comprehensive total rewards package aligned to your country office location.

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