Forward Deployed Engineer, Applied AI at Se3

Join SE3 Labs as Forward Deployed Engineer, Applied AI

Help bring applied AI into the real world by building Python and LLM-powered solutions for defence customers, owning client relationships and turning real operational needs into software that works.

About SE3

SE3 Labs builds spatial intelligence and autonomy software for unmanned systems. We combine 3D computer vision, state estimation and AI to help autonomous platforms perceive their surroundings, know where they are and operate when GPS and other sensors become unreliable. Defence is a core application of our work today.

We are growing to a team of 100+ people. Join at a stage where you can shape our Forward Deployed team, help build the team and grow your responsibilities as the company expands.

Our founding team’s research has received more than 90,000 citations. You will work closely with technical founders and engineers with deep experience in computer vision and autonomous systems, turning that research depth into systems that work in the field.

About the Role

As a Forward Deployed Applied AI Engineer at SE3 Labs, you’ll work at the intersection of software engineering, applied AI and customer delivery. You’ll collaborate directly with defence customers to understand their challenges, build LLM-powered solutions, and take ownership of projects from first requirements through to deployment. Our solutions are built to work in real operational environments, so you’ll also test and demonstrate them with customers in the field, not just at your desk.

This is a hands-on role where you combine coding with client engagement, helping shape both the solutions we deliver today and the opportunities we develop for tomorrow.

What You’ll Work On

Your Profile

Especially Valued Bonus Skills

Perks & Benefits

Our Process

  1. Intro Call (30 min): Let’s get to know each other and talk about your experience, motivations, and what you’re looking for next.

  2. Hiring Manager Interview (45 min): We’ll explore your experience in more detail, give you a clearer picture of the role and its needs, and discuss technical fit.

  3. Coding Exercise: A practical coding assessment to understand how you approach technical problems.

  4. Technical Interview / Case Study (1 hr): We’ll dive into your experience with applied AI, Python, LLMs, client integrations, and solving real-world problems.

  5. Team Lunch / Dinner: An opportunity to meet more of the team and get a feel for how we work together.

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