Staff Engineer, State Estimation (R5783)

Remote; San Francisco (CA); A distancia; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

Remote is seeking a software engineer to advance state estimation and navigation for autonomous systems. You will design C++ software for embedded robotics, develop rigorous tests, and enhance modeling and simulation tools for inertial and vision‑based navigation.

You will collaborate with a multidisciplinary autonomy team to plan features, decompose work, and validate performance. A strong MS degree in a related field and hands‑on experience with EKF/UKF, VIO/SLAM, and embedded Linux are

Formación

• M.S. in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or related field; 2+ years experience with MS degree, or 0 years for new Ph.D.
• Proficient in modern C++ (C++11+) and object‑oriented design.
• Hands‑on experience deploying low‑latency C++ on embedded Linux.
• Experience designing and implementing state estimation algorithms (EKF/UKF/Particle filters).
• Familiarity with VIO, SLAM, or multi‑sensor fusion frameworks (GTSAM/Ceres/OpenVINS).
• Strong CI pipelines and automated testing for C++.
• Ability to deploy high‑reliability code for real‑world autonomous systems.
• Familiarity with prototyping in Python or MATLAB is welcome, but production C++ skills are required.

Responsabilidades

• Research and develop state estimation and navigation algorithms for resilient autonomy in GPS‑denied environments.
• Design and deploy production‑grade C++ software for embedded robotic systems in dynamic environments.
• Build and maintain unit, integration, and system tests for robustness and safety.
• Develop modeling, calibration, and simulation tools for inertial and vision‑based navigation.
• Contribute to roadmap planning, feature decomposition, and agile execution with autonomy engineers.
• Improve benchmarking and validation pipelines to drive rapid innovation.

Conocimientos

C++ (modern)

State estimation

OO design

Python

MATLAB

VIO/SLAM

CI pipelines

Educación

M.S. in Aerospace Engineering, Electrical Engineering, Robotics, CS or related field

Herramientas

Embedded Linux

GTSAM

Ceres

OpenVINS

CI/CD pipelines

Descripción del empleo

Help build the intelligence that enables autonomous systems to navigate the world with confidence. In this role, you’ll develop cutting‑edge estimation and navigation technology, transforming advanced algorithms into high‑performance software that powers resilient autonomy in complex, real‑world environments.

What you'll do:

• Research and develop state‑of‑the‑art state estimation and navigation algorithms to enable resilient autonomy in challenging GPS‑denied environments.

• Design and deploy production‑grade C++ software for embedded robotic systems operating in dynamic, real‑world environments.

• Build and maintain rigorous unit, integration, and system‑level tests to ensure system robustness and safety.

• Develop and enhance modeling, calibration, and simulation tools for inertial and vision‑based navigation systems.

• Contribute to roadmap planning, feature decomposition, and agile execution alongside a multidisciplinary team of autonomy engineers.

• Continuously enhance performance analysis, benchmarking, and validation pipelines to drive rapid innovation and improvement.

Required qualifications:

• M.S. in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a related field; minimum 2+ years of related professional work experience if you have an M.S. degree, or 0 years if you are a new Ph.D. graduate.

• Professional proficiency in modern C++ (C++11 or newer) and strong object‑oriented design skills.

• Hands‑on experience deploying low‑latency C++ applications to embedded Linux platforms.

• Professional experience designing and implementing state estimation algorithms (e.g., EKF, UKF, Particle Filters, graph‑based optimization).

• Familiarity with VIO, SLAM, or multi‑sensor fusion frameworks (e.g., GTSAM, Ceres, OpenVINS).

• Strong working knowledge of CI pipelines and automated testing frameworks for C++.

• Ability to independently deploy high‑reliability code suitable for real‑world autonomous systems.

• Familiarity with prototyping in Python or MATLAB is welcome, but this role demands professional C++ production deployment skills. Candidates whose primary experience is in MATLAB or Python are unlikely to find this position a good fit.

Preferred qualifications:

• Deep understanding of graph‑based optimization for state estimation.

• Experience developing vision‑aided inertial navigation systems (VINS, VIO, Terrain Relative Navigation).

• Experience with navigation sensor calibration (IMU, GPS, barometers, magnetometers, laser altimeters, cameras).

• Experience in benchmarking and system validation for real‑world navigation performance.