Staff Perception Engineer, Target Tracking (SD or DC) (R3128)

Posted 23 Days Ago
Be an Early Applicant
San Diego, CA
182K-272K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Our mission is to protect service members and civilians with intelligent systems.
The Role
As a Staff Perception Engineer, you will design and implement robust multi-target tracking algorithms, utilizing modern C++ and object tracking theory to enhance military platforms. Your role will involve collaboration, software validation, and improving simulator capabilities in a fast-paced agile environment.
Summary Generated by Built In

As a senior member within the Hivemind autonomy team, you will join an ambitious effort to rapidly design, develop, integrate, test, and deploy an all-domain multi-target tracker for the Hivemind Pilot product line. You will bring a deep understanding of object tracking theory (e.g., optimal state estimation, sensor integration, data fusion, statistical inference, dynamics modeling) and modern C++ (11 or greater) to this role.

What you'll do:

  • Research and develop world-class object tracking and data association algorithms and techniques 
  • Write production-quality tracking software in C++ that will be deployed on military platforms, ensuring robustness, efficiency, and scalability. 
  • Develop and maintain comprehensive unit, integration, and system tests to validate your software
  • Enhance sensor models within a state-of-the-art simulation environment 
  • Collaborate with other team members on product roadmap development, feature decomposition, and capacity planning within an agile development framework 
  • Work in a fast-paced, collaborative, continuous development environment, enhancing analysis and performance benchmarking capabilities 

Required Qualifications:

  • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
  • Extreme proficiency in modern C++ and object-oriented design patterns 
  • Professional experience deploying C++ software for DoD acquisition programs
  • Professional experience designing state estimation algorithms (KF, EKF, UKF)
  • Demonstrated track record developing innovative solutions to modern multi-target tracking problems 
  • Experience with continuous integration (CI) pipelines and automated testing frameworks in C++ 
  • While familiarity with MATLAB for prototyping and algorithm development is useful, this role demands extensive experience and confidence in deploying production-level code exclusively in C++. Candidates whose primary experience is in MATLAB are unlikely to find this position a good fit. 

Preferred Qualifications

  • Experience with the full lifecycle of developing, testing, and deploying airborne EO/IR tracking systems in military environments, including real-time performance optimization in resource-constrained settings 
  • Experience developing error budgets for tracking accuracy 
  • Experience developing and deploying multi-hypothesis tracking algorithms
  • Experience validating and verifying tracking requirements for DoD customers 
  • Familiarity with sensor line-of-sight reconstruction and error calibration 
  • Familiarity with object detection algorithms in visual, SWIR, MWIR, and LWIR bands

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Top Skills

C++
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The Company
HQ: San Diego, CA
750 Employees
Hybrid Workplace
Year Founded: 2015

What We Do

Shield AI is building the world's best AI pilot. Our Hivemind autonomy stack is the first and only autonomous AI Pilot, deployed in combat since 2018. Hivemind enables intelligent teams of aircraft to perform missions ranging from room clearance, to penetrating air defense systems, and dogfighting F-16s.

Why Work With Us

What makes Shield AI special is our people. We unlock the power of autonomy, and in the face of overwhelming odds and challenges, we find ways to win and make a difference for our customers. We bring together software, AI, and aerospace engineering disciplines to deploy the most intelligent aviation capabilities in the world.

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