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- Tasks: Lead teams to solve complex problems in AI and autonomous systems.
- Company: Join Shield AI, a deep-tech company dedicated to protecting lives with innovative technology.
- Benefits: Competitive salary, bonuses, equity, and comprehensive benefits package.
- Why this job: Make a real-world impact by developing cutting-edge autonomy solutions.
- Qualifications: 10+ years in related fields, strong robotics background, and leadership experience required.
- Other info: Collaborative environment with opportunities for growth and innovation.
The predicted salary is between 115000 - 170000 £ per year.
This position is perfect for an individual who enjoys solving the most complex problems across a portfolio of diverse domains and modalities. An ideal candidate is expected to apply classical autonomous techniques, algorithms, and theory to various platforms in multiple tactical scenarios. These solutions are expected to be integrated into real-world problems with near-term program impacts and rewards.
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 an Autonomy Engineer on this team, you will lead 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.
- Integrate Shield AI autonomy products together with third party systems.
- Write autonomous behaviors for varying aircraft platforms (VTOL and Fixed Wing).
- Work with Subject Matter Experts to understand customer needs and implement appropriate autonomy 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 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
- Significant background in robotics technologies related to sensing, estimation, path planning, and data fusion.
- Proficiency in software development, benchmarking, debugging, and deployment.
- 7+ years of experience in Unmanned Systems programs in the MoD or applied R&D.
- 2+ years of people leadership experience.
- Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain).
- Experience working projects with 10+ contributors.
- Offers fast, efficient, effective problem solving approaches.
- Exceptional collaborator and communicator.
- Comfortability within Unix environments.
- Hard-working, trustworthy teammate.
- Exhibits holding themselves and others to high standards.
- Being kind to others.
- 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.
- Mathematical background in both linear/nonlinear control theory and autonomous systems technologies/algorithms.
- Demonstrated problem solving skills by applying a scientific approach.
- Ability to understand, derive, and implement motion models and accompanying controllers for trajectory generation and tracking.
- Active UK security clearance.
Principal Autonomy Engineer in London employer: Shield AI
Contact Detail:
Shield AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Autonomy Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Shield AI. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or projects that highlight your expertise in autonomy engineering, make sure to share them during interviews or networking events.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and problem-solving skills. Practice coding challenges and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Shield AI.
We think you need these skills to ace Principal Autonomy Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Principal Autonomy Engineer role. Highlight your experience in robotics, AI, and any relevant projects that showcase your problem-solving skills. We want to see how you fit into our mission!
Showcase Your Technical Skills: Don’t hold back on detailing your technical expertise! Mention specific programming languages, tools, and methodologies you've used in past projects. We love seeing candidates who can demonstrate their proficiency in software development and autonomous systems.
Highlight Leadership Experience: Since this role involves mentoring and leading teams, be sure to include examples of your leadership experience. Share stories about how you've guided teams or contributed to collaborative projects. We value strong communicators and trustworthy teammates!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details directly and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Shield AI!
How to prepare for a job interview at Shield AI
✨Know Your Stuff
Make sure you brush up on your knowledge of classical autonomous techniques and algorithms. Be ready to discuss how you've applied these in real-world scenarios, especially in the context of unmanned systems. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading teams, be prepared to share examples of your leadership experience. Talk about how you've guided projects with multiple contributors and how you foster collaboration among team members. Highlighting your ability to drive strategic technical improvements will set you apart.
✨Understand the Customer's Needs
Familiarise yourself with Shield AI’s products and the specific needs of their customers. During the interview, demonstrate your understanding of how autonomy solutions can be tailored to meet these needs. This shows that you're not just technically proficient but also customer-focused.
✨Be Ready for Technical Questions
Expect to face some challenging technical questions related to robotics technologies, path planning, and data fusion. Prepare by reviewing relevant concepts and perhaps even doing some mock interviews. Being able to articulate your thought process clearly will impress the interviewers.
