Graduate Software Engineer: State Estimation & Prediction

Lodestar

El Segundo (CA)

On-site

USD 99,000 - 174,000

Full time

14 days+

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Benefits offered by this job

Equity incentives
Flexible PTO
Medical, dental & vision coverage
401(k) match

Job summary

Lodestar in Los Angeles is seeking a Graduate Software Engineer (I or II) focused on state estimation and prediction for our MITHRIL autonomy platform. You will research, design, and implement algorithms that fuse probabilistic estimation with machine learning to track targets and forecast trajectories.

Join an engineering culture that emphasizes extreme ownership as you collaborate across perception, autonomy, and simulation teams to deliver robust, real-time solutions for space domain

Qualifications

  • Degree in CS, aerospace, robotics, or applied mathematics completed within 24 months or before start date.
  • Proficiency in C++ and Python demonstrated via coursework or projects.
  • Strong background in probabilistic state estimation and Bayesian methods.
  • Experience with deep learning frameworks (PyTorch or TensorFlow).
  • Familiarity with trajectory modelling and orbital mechanics.
  • Ability to communicate reasoning clearly on open-ended problems.

Responsibilities

  • Design and implement core state estimation and prediction architecture for autonomous spacecraft.
  • Research and train estimation algorithms, from literature review to deployment.
  • Implement and benchmark classical and neural estimators for real-time tracking.
  • Build neural models forecasting future trajectories and behaviors of targets.
  • Develop intent inference models to rank threat levels.
  • Integrate models into mission simulations and autonomy systems.
  • Collaborate with perception and on-board autonomy teams to ensure fidelity and scalability.

Skills

C++
Python
Probabilistic state estimation
Kalman filters
Particle filters
Bayesian inference
Deep learning (PyTorch/TensorFlow)
Sequence modelling (seq2seq, RNNs, LST
Trajectory modelling
Orbital mechanics
Open-ended problem solving
Communication of reasoning

Education

Bachelor's/Master's/PhD in CS/Aerospace/Robotics/Applied Mathematics

Tools

CUDA
TensorRT
Linux
Git
CI/CD
Docker
Kubernetes

Job description

Lodestar in Los Angeles is seeking a Graduate Software Engineer (I or II) focused on state estimation and prediction for our MITHRIL autonomy platform. You will research, design, and implement algorithms that fuse probabilistic estimation with machine learning to track targets and forecast trajectories.

Join an engineering culture that emphasizes extreme ownership as you collaborate across perception, autonomy, and simulation teams to deliver robust, real-time solutions for space domain

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