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Inversion

Staff GNC Engineer (State Estimation)

Inversion · Playa Vista, California, United States

Posted about a month ago · $161,000-$221,000

or apply directly on Inversion's site. We never take the application ourselves.

Is this posting real?

This role has been open
42 days
Inversion's roles stay open a median of 53 days
Reposted
No
Salary listed
Yes
89% of Inversion's roles list one
Ghost-job risk at Inversion
high
59 stale, 0 reposted of 76 open
Hiring momentum
86 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-25

Measured from postings appearing on and disappearing from Inversion's own greenhouse board since 2026-08-03. Full hiring picture for Inversion.

About this role

As a Staff GNC Engineer (State Estimation) at Inversion, you will focus on developing algorithms for state estimation and tracking for aerospace systems, particularly in predicting the behavior of external systems. Your role involves integrating classical estimation methods with modern deep learning techniques, working closely with various teams to enhance vehicle performance, and ensuring that these algorithms function effectively in real-time flight software.

Our read on this posting3.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Inversion as an employer.

What you need

  • Bachelor's degree in Aerospace Engineering, Electrical Engineering, Robotics, or a related field, or equivalent experience
  • Typically, 9+ years of applicable experience developing and testing estimation, tracking, or GNC algorithms and systems
  • Experience with behavior or trajectory prediction for autonomous vehicles, robotics, or similar multi-agent domains
  • Experience with modern deep learning frameworks (e.g., PyTorch, JAX)
  • Experience estimating and tracking the state of dynamic objects from noisy, intermittent, or limited sensor data
  • Experience training and implementing neural networks for prediction, tracking, or related applications

Nice to have

  • Master's or PhD in Aerospace Engineering, Electrical Engineering, Robotics, or a related field
  • Experience with vehicle performance estimation and characterization from flight or test data
  • Strong fundamental understanding of estimation theory, including Kalman filtering and its nonlinear variants
  • Experience deploying learned models to real-time, compute-restricted embedded environments
  • Experience with trajectory optimization

Worth weighing

  • Position requires in-office presence in Playa Vista, CA
  • No specific benefits or perks mentioned in the posting
  • Salary range provided, but individual pay varies based on multiple factors
  • Role involves complex problem-solving in a demanding flight regime

Summarised from Inversion's posting. Read the full original.

Listed by Inversion on their greenhouse job board, last confirmed open on 2026-09-25. PitchMeAI is not the employer.

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