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Senior Staff Engineer, Object Tracking

72% Flex

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

M.S. in Aerospace Engineering, Electrical Engineering, or similar field with 7+ years of experience, Proficiency in object tracking using exteroceptive sensors and high-level language programming.

Key responsabilities:

Research and develop cutting-edge object tracking algorithms
Write production quality software in C++ and validate code through test code
Collaborate with hardware and test teams to validate algorithms on robots
Enhance sensor models in a simulation environment to improve code quality

Shield AI Scaleup https://shield.ai/

501 - 1000 Employees

See more Shield AI offers

Job description

Your missions

As a member of the Object Tracking team, you will conduct software development at the intersection of classical state estimation techniques, sensor fusion, artificial intelligence, machine learning, and machine perception. You will develop cutting-edge technology that provides robust and accurate estimates of tracked objects at all times in virtually any environment by fusing sensor data from noisy disparate sources.

What You'll Do:

Research and develop world-class object tracking and data association algorithms and techniques

Write production quality software in C++

Write test code to validate your software

Collaborate with hardware and test teams to validate your algorithms/code on aerial robots

Write analyzers to ingest data and produce statistics to validate code quality

Enhance sensor models within a state-of-the-art simulation environment

Work in a fast-paced, collaborative, continuous development environment, enhancing analysis and benchmarking capabilities

Required Qualifications:

M.S. in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science or related quantitative science with 7+ years of professional experience in state estimation, object tracking, perception, or similar robotics field

Proficient with object tracking using noisy high-bandwidth exteroceptive sensors on compute-constrained systems

Experience prototyping a feature in a high-level language like Python/MATLAB and transitioning it to production code

A solid foundation in theory related to controls, state estimation, probabilistic robotics, compute vision, and signal processing

Solid experience working in a collaborative development environment including continuous integration and delivery

A demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others

Preferred Qualifications:

Familiarity with neural network based object detection and recognition techniques

Shipped production grade code for own ship estimation for a flying platform