At a Glance
- Tasks: Lead the design and development of cutting-edge autonomy solutions for the defence industry.
- Company: Join a pioneering tech firm at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on continuous learning and innovation.
- Why this job: Make a real impact in defence technology while mentoring the next generation of engineers.
- Qualifications: 5+ years in autonomous vehicle solutions and expertise in deep learning models.
The predicted salary is between 60000 - 80000 £ per year.
As a Senior Autonomy Engineer on the UK Engineering team, you will lead the design, development, and verification of high-performance autonomy solutions for the defense industry. You will write perception and planning algorithms, optimize performance, and develop robust system architectures. Collaborating with cross-functional teams, you will translate requirements into technical solutions while mentoring junior engineers. The role also involves continuous innovation, testing, debugging, documentation, while staying at the forefront of AI technology.
At Applied Intuition, you will:
- Prototype, evaluate, refine, and deploy state‑of‑the‑art ML algorithms and solutions for defense use cases.
- Leverage established products at Applied Intuition to build the software and infra foundation for behavior‑specific ML development.
- Tightly collaborate with perception and planning engineers on many cross‑team initiatives.
- Work closely with product managers to understand requirements and translate them into technical solutions.
- Train and mentor junior engineers as we grow the UK team, fostering a culture of learning and improvement.
- Stay updated with industry trends, emerging technologies, and best practices to enhance product development.
We're looking for someone who has:
- Experience developing autonomous vehicle solutions for aerospace and defense.
- Experience with the end‑to‑end development cycle of deep learning models.
- Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization.
- 5+ years of experience building production software using modern software practices.
- Fluency in C++, or fluency in Python with intermediate experience in C++.
- References who will describe them as low‑ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners.
Travel requirements: General willingness to travel for company business between our offices, as well as to customer sites.
Security Requirements: Must have ability to hold UK Security Clearance (current or previous preferred).
Nice to have:
- Publications in computer vision, NLP, or robotics.
- Experience with drones and flight computers such as PX4.
- Experience in evaluating and improving system‑in‑the‑loop model performance.
Senior Autonomy Engineer employer: applied
At Applied Intuition, we pride ourselves on being an exceptional employer, particularly for those passionate about advancing autonomy solutions in the defence sector. Our collaborative work culture fosters innovation and continuous learning, providing ample opportunities for professional growth while working alongside industry experts. Located in the UK, our team enjoys a dynamic environment that encourages mentorship and the exploration of cutting-edge technologies, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Autonomy Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to autonomy solutions or ML algorithms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in collaborative environments like ours.
✨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. Plus, it shows you’re genuinely interested in joining our team at Applied Intuition.
We think you need these skills to ace Senior Autonomy Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Autonomy Engineer role. Highlight your experience with autonomous vehicle solutions and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific examples of your work in developing perception and planning algorithms. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements and innovations!
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain why you’re a great fit for the role and how you can contribute to our team. We appreciate straightforward communication!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at applied
✨Know Your Algorithms
Brush up on your perception and planning algorithms. Be ready to discuss specific examples of how you've developed or optimised these in past projects. This will show your technical depth and relevance to the role.
✨Showcase Your Collaboration Skills
Prepare to talk about your experience working with cross-functional teams. Highlight instances where you translated complex requirements into technical solutions, as this is key for the role. Use examples that demonstrate your ability to mentor junior engineers too!
✨Stay Ahead of the Curve
Familiarise yourself with the latest trends in AI technology and how they apply to the defence industry. Being able to discuss emerging technologies will impress your interviewers and show your commitment to continuous innovation.
✨Communicate Clearly
Practice articulating your thoughts clearly and concisely. Strong communication is essential, especially when discussing complex topics like deep learning models. Consider doing mock interviews to refine your delivery and ensure you come across as a strong communicator.
