Software Engineer - Photogrammetry

Harmattan AI; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A defense technology firm in Paris is looking for a Software Engineer to join their Geometric Scene Understanding team. This role involves architecting a software pipeline for real-time 3D reconstruction from drone telemetry and video. Candidates should have a BS or MS in Computer Science or Computer Engineering, strong C++ skills, and experience in GPU programming. The position demands a track record of high-performance software development and optimizing algorithms for real-time constraints in a fast-paced environment.

Qualifications

• Strong foundational knowledge of Linear Algebra, 3D Geometry, and Computer Architecture is critical.
• Absolute mastery of C++ and low‑level memory management required.
• Deep expertise in GPU programming (writing custom CUDA kernels) required.

Responsabilités

• Architect and build the software pipeline to ingest, decode, and synchronize multi‑drone video streams.
• Profile CV algorithms and rewrite bottlenecks using GPU acceleration and CPU multi‑threading.
• Implement efficient 3D data structures to store and stream point clouds without compromising memory.

Connaissances

C++

GPU programming (CUDA)

Linear Algebra

3D Geometry

Computer Architecture

Python/PyTorch

Formation

BS or MS in Computer Science, Computer Engineering

Description du poste

About Us

Harmattan AI is a next‑generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission‑critical systems to allied forces. Our work is guided by clear values: building technologies with real‑world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.

About The Role

We are looking for a Software Engineer to join our Geometric Scene Understanding team in Paris. In this role, you will bridge the gap between complex mathematical research and mission‑critical production software. While our Computer Vision (CV) engineers design the core algorithms for 3D reconstruction—such as SfM, SLAM, and Neural Radiance Fields—you will be responsible for transforming these computationally heavy prototypes into high‑performance, real‑time engines capable of running on resource‑constrained tactical hardware. You will be the architect of the pipeline that ingests live drone telemetry and video to output a real‑time 3D rendering of the battlefield, providing a decisive edge for the Common Operational Picture (COP).

Responsibilities

• Architect and build the software pipeline to ingest, decode, and perfectly synchronise multi‑drone video streams and telemetry data.
• Profile CV algorithms and rewrite bottlenecks using GPU acceleration (CUDA, Vulkan, or TensorRT) and CPU multi‑threading to achieve near real‑time 3D reconstruction.
• Implement efficient 3D data structures, such as Octrees or Voxel grids, to store, compress, and stream point clouds or meshes without compromising system memory.
• Collaborate with CV engineers to translate Python/PyTorch prototypes into production‑grade C++ code that can run for hours without heap fragmentation or leaks.
• Deploy builds to physical tactical PCs and monitor real‑world performance, including thermal throttling and GPU utilisation during live drone operations.

Candidate Requirements

• A BS or MS in Computer Science, Computer Engineering, or a closely related field. Strong foundational knowledge of Linear Algebra, 3D Geometry, and Computer Architecture is critical.
• Absolute mastery of C++ and low‑level memory management, plus deep expertise in GPU programming (writing custom CUDA kernels) required.
• Minimum of 5–6 years of experience for senior‑level candidates.
• Track record of shipping high‑performance software in production, such as game engines, rendering pipelines, or autonomous vehicle perception stacks.
• Experience optimising complex algorithms for edge devices or embedded systems under strict real‑time constraints.
• Ability to design ingestion buffers for asynchronous, high‑bandwidth data streams (e.g., video at 30fps and telemetry at 100fps) ensuring temporal alignment.
• Thrives in a fast‑paced startup environment and is 100 % dedicated to building ethical defence technologies that bring a strategic edge to allied nations.
• Excellent verbal and written communication skills to lead syncs between CV research teams and C2 backend modules.

We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.