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Autonomy Engineer, Senior

Job Summary

We are a venture-backed startup developing next-generation orchestration software for autonomous systems. Our platform enables the complex coordination of multi-domain robotic systems with applications in defense and commercial sectors.

We're seeking a Senior Autonomy Engineer to join our team and lead the development of our core autonomy stack. You'll work at the intersection of robotics, artificial intelligence, and systems engineering to create robust autonomous capabilities for multi-agent systems.

Key Responsibilities

  • Design and implement core autonomy capabilities including path planning, perception, decision-making, and multi-agent coordination

  • Develop and maintain the autonomy framework that enables seamless integration of different vehicle types and capabilities

  • Create robust behavioral models for autonomous systems operating in complex, dynamic environments

  • Implement and optimize machine learning models for real-time decision making and perception

  • Design and validate autonomous navigation and control systems

  • Collaborate with the platform team to integrate autonomy capabilities with our visualization and control interfaces

  • Work with stakeholders to translate operational requirements into technical solutions

  • Mentor team members and help establish best practices for autonomy development

Required Qualifications

U.S. Person Requirement

This position requires the candidate to be a "U.S. Person" as defined by ITAR (22 CFR §120.15). You must be either:

  • A U.S. citizen

  • A lawful permanent resident (green card holder)

  • A refugee, asylee, or other protected individual under 8 U.S.C. 1324b(a)(3)

Education and Experience

  • M.S. or Ph.D. in Computer Science, Robotics, Aerospace Engineering, Mechanical Engineering, or related technical field

  • 5+ years of experience developing autonomous systems

Technical Skills

  • Expert-level programming in modern C++ and Python

  • Proven experience with ROS/ROS2 and robotics middleware

  • Establishing technical standards and best practices

  • Strong background in:

    • Control systems and path planning

    • Real-time embedded systems

    • Machine learning frameworks

    • Computer vision and perception

    • State estimation and sensor fusion

    • Version control (Git) and CI/CD practices

    • System integration and testing

Domain Expertise

  • Autonomous systems architecture

  • Multi-agent coordination and control

  • Motion planning in dynamic environments

  • Real-time decision making

  • Performance optimization for embedded systems

Professional Skills

  • Excellent problem-solving and analytical abilities

  • Strong communication and collaboration skills

  • Experience working in cross-functional teams

  • Track record of designing and delivering complex systems

  • Mentorship experience

Preferred Qualifications 

  • Experience with multi-agent coordination and swarm robotics

  • Background in aerospace or defense applications

  • Experience with simulation environments (Gazebo, Isaac Sim, AirSim, etc.)

  • Familiarity with relevant standards and frameworks:

    • MAVLink protocol

    • JAUS (Joint Architecture for Unmanned Systems)

    • UAS standard STANAG 4586

  • Track record of publications or patents in autonomy-related fields

  • Experience with tactical systems integration

  • Experience building and/or leading a distributed technical team

  • Willingness to obtain a U.S. Security clearance

Location

  • Flexible hybrid arrangement with some on-site work required

  • Relocation assistance available for the right candidate

What We Offer

  • Opportunity to work on cutting-edge autonomous systems

  • Competitive compensation

  • Comprehensive health benefits including a free OneMedical membership

  • Flexible PTO & Federal Holidays

  • Collaborative team culture focused on innovation

  • Remote-friendly, flexible work environment

Salary Range

  • Base salary: $120,000 - $250,000 USD, depending on experience

  • Competitive equity package with significant upside potential

  • Comprehensive benefits package

Total compensation will be structured to reward both individual and company success, with equity forming a substantial portion of the overall package. We believe in making every employee an owner and partner in our success.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Average salary estimate

$185000 / YEARLY (est.)
min
max
$120000K
$250000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Autonomy Engineer, Senior, NODA AI

Join our innovative team as a Senior Autonomy Engineer at our exciting venture-backed startup. We are on a mission to develop next-generation orchestration software for autonomous systems that revolutionizes how multiple robotic entities work together seamlessly. In this role, you'll be at the forefront of creating robust autonomy capabilities for multi-agent systems, blending robotics, artificial intelligence, and systems engineering. Your responsibilities will include designing and implementing core autonomy features such as path planning, perception, and decision-making. You'll also be developing our autonomy framework, allowing different vehicle types to communicate and work together effectively. Familiarity with machine learning models is essential as you'll optimize these for real-time applications. Beyond technical skills, we’re looking for someone with a collaborative spirit—working with stakeholders to translate requirements into practical solutions is key. Plus, your mentoring skills will help foster best practices across the team. We believe that diverse backgrounds contribute to greater success, and we're open to applicants of all experiences. If you're ready to push boundaries and lead the charge in autonomous tech, we want to hear from you!

Frequently Asked Questions (FAQs) for Autonomy Engineer, Senior Role at NODA AI
What are the responsibilities of a Senior Autonomy Engineer at this startup?

As a Senior Autonomy Engineer at our venture-backed startup, you will be responsible for the design and implementation of core autonomy capabilities such as path planning, perception, and multi-agent coordination. You'll develop and maintain our autonomy framework, create effective behavioral models, and optimize machine learning for real-time applications. Your collaboration with the platform team and mentorship of team members will also play a crucial role in driving the project forward.

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What qualifications are required for the Senior Autonomy Engineer position?

To be considered for the Senior Autonomy Engineer position, you must have a relevant master's or PhD in fields such as Computer Science, Robotics, or Aerospace Engineering. Additionally, a minimum of 5 years of experience in developing autonomous systems along with expert-level skills in C++ and Python programming are crucial. A solid background in control systems, path planning, and machine learning frameworks is also necessary.

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What technical skills are necessary for a Senior Autonomy Engineer role?

As a Senior Autonomy Engineer, you should be proficient in modern programming languages like C++ and Python, with hands-on experience in robotics middleware such as ROS/ROS2. Familiarity with control systems, real-time embedded systems, machine learning frameworks, and computer vision is highly beneficial. Understanding state estimation, sensor fusion, and CI/CD practices will also be important for successful system integration and testing.

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What benefits and opportunities can a Senior Autonomy Engineer expect?

You'll enjoy a fantastic work environment that supports innovation, flexible hours, and the ability to work remotely. We offer competitive salaries ranging from $120,000 to $250,000 USD based on your experience, along with a robust equity package. Health benefits include a free OneMedical membership, flexible PTO, and a culture focused on collaboration and inclusivity. Additionally, there are opportunities for professional growth and involvement in cutting-edge projects.

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Is prior experience in defense or aerospace necessary for the Senior Autonomy Engineer role?

While experience in aerospace or defense applications is preferred for the Senior Autonomy Engineer position, it is not mandatory. Instead, we highly value candidates with a strong technical foundation in autonomous systems, multi-agent coordination, and motion planning. The willingness to learn and adapt is equally important in our fast-paced environment.

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Common Interview Questions for Autonomy Engineer, Senior
What experience do you have with path planning and autonomous navigation?

Discuss your hands-on experience with algorithms you've implemented for path planning. Provide specific examples of projects where you successfully designed autonomous navigation systems, highlighting any challenges you faced and how you overcame them.

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Can you explain your proficiency with ROS or ROS2?

Describe your experience with ROS/ROS2, emphasizing any significant projects where you utilized these frameworks. Be sure to mention the various robotic components you integrated and the overall impact of your contributions on the project.

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How do you approach developing machine learning models for real-time decision making?

Provide detailed insights into your process for developing machine learning models, especially in the context of real-time systems. Explain how you ensure models are efficient, responsive, and accurately tuned for the specific needs of autonomous systems.

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What techniques do you use for testing and validating autonomous systems?

Outline the strategies you employ for system testing and validation, including simulation environments you utilize, types of tests you run, and how you assess the performance of autonomous systems before deployment.

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Describe a time when you mentored a junior team member. What was your approach?

Share a specific experience where you guided a junior engineer. Discuss your mentoring style, the objectives you set, and how you tracked their progress, highlighting the positive outcomes of your mentorship.

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What are the biggest challenges you see in multi-agent coordination?

Discuss your insights into the complexities of multi-agent systems, emphasizing key issues like communication, resource allocation, and decision-making processes, and propose potential solutions or methodologies you believe could mitigate these challenges.

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How do you stay current with advancements in autonomous technology?

Talk about the resources you rely on to keep your knowledge fresh, including publications, conferences, and collaboration with peers. Mention any relevant communities you are engaged in that keep you in the loop about trends and innovations.

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What experience do you have with simulation environments?

Elaborate on the simulation environments you have worked with, such as Gazebo or AirSim. Discuss their specific roles in your projects and how you've leveraged them to test and refine your autonomous systems.

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What steps do you take to ensure your autonomy framework is scalable?

Describe your approach to building scalable architectures for autonomous systems, touching on key design principles, the importance of modularity, and techniques for managing complexity and scalability in code.

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How would you handle conflicting priorities when working with multiple stakeholders?

Provide a specific strategy you would employ to navigate conflicting demands from stakeholders. Emphasize your communication skills and ability to establish a prioritization framework while satisfying key operational requirements.

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Full-time, hybrid
DATE POSTED
December 27, 2024

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