Key Responsibilities:

Contribute to the full software development lifecycle, including requirements analysis, design, coding, testing, and deployment.
Deploy these approaches to operational settings, by moving features along a release process that starts in simulation and ends running in an embedded and operational context.
Research and adapt SOTA perception algorithms - everything from lit. review, through training and evaluation, to optimisation and deployment.
Design and develop robust and efficient C++/Rust software for multi-sensor, multi-target tracking & estimation problems
MLOPS - build and maintain automated, scalable infrastructure to manage our data and run our experiments
Design experiments, data collection efforts, and curate training/evaluation sets to develop insights both for internal Anduril purposes as well as customers
Drive the flight testing and test configuration for evaluating the implemented features against real data on target hardware

Requirements:

Solid coding, algorithms, data structures and software engineering fundamentals
BS in Robotics, Computer Science, Mechatronics, Mathematics, Mechanical Engineering, or related field
Strong DNN/ML background and experience in standard domain libraries (numpy, opencv, pytorch, etc)
Strong C++ or Rust experience
Experience deploying to real-time robotics systems
Eligible to obtain and maintain an active UK Security Clearance

Preferred Qualifications:

Experience processing sensor measurements from Radar, Electro-Optical Sensors, RF Sensors, or LIDAR
Experience with sensor characterisation and modelling
Familiarity with classical and contemporary approaches for state estimation and tracking (e.g. Kalman Filter, UKF, Particle Filter)
Sensor calibration
Background in linear algebra and probability/stochastic processes
Familiarity with non-linear optimisation frameworks like Ceres, g2o, GTSAM, etc
Probabilistic inference and Bayesian likelihood estimation (e.g., Markov Chain Monte Carlo)

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