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Algorithm State Estimation Development Engineer Jobs

... D environment. Responsibilities/skills: Develop and refine PC-based localization algorithms using ... Solid background in state estimation, probability theory, and advanced filtering techniques ...

Contribute to state estimation using IMU, joint encoders, and contact sensing Simulation & Tooling ... Contribute to the 0→1 humanoid platform development * High ownership, fast iteration, engineering ...

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Algorithm State Estimation Development Engineer information

What is the difference between Algorithm State Estimation Development Engineer vs Control Systems Engineer?

AspectAlgorithm State Estimation Development EngineerControl Systems Engineer
Primary FocusDeveloping algorithms for estimating system states from sensor dataDesigning and implementing control strategies for systems
Skills & CertificationsMathematics, signal processing, programming, algorithmsControl theory, systems modeling, programming
Work EnvironmentResearch labs, automotive, robotics, aerospaceManufacturing, automation, robotics, aerospace

Both roles often require strong backgrounds in mathematics and programming, and are used in similar industries like automotive and aerospace. However, Algorithm State Estimation Development Engineers focus on creating algorithms to interpret sensor data, while Control Systems Engineers design control strategies to manage system behavior.

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Senior Software Engineer - Perception State Estimation

Latitude AI

Detroit, MI • On-site

$121K - $159K/yr

Full-time

Posted 4 days ago


Job description

Job Summary:
Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale. They are seeking a Senior Software Engineer to join their State Estimation team, focusing on developing machine learning models and algorithms for multi-object tracking and state estimation to enhance vehicle perception systems.
Responsibilities:
• Develop machine learning models and Bayesian filtering algorithms for multi-object tracking, state estimation, and uncertainty estimation
• Develop estimation algorithms for road feature estimation such as lane lines and speed limit as well as estimating the road shape.
• Develop forecasting algorithms for actors in the scene to estimate time-to-collision and threat levels for automatic emergency braking
• Read literature, analyze raw data, and design state-of-the-art solutions
• Transition solutions from the lab to the test track and public roads to ensure successful production-level implementation
• Collaborate with perception experts and experienced roboticist on algorithm design, prototyping, testing, deployment, and productization
• Build and maintain industry-leading software practices and principles
• Develop clean and efficient software for perception modules interfacing with other key modules
• Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment
Qualifications:
Required:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
• Relevant knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch or similar frameworks
• Experience in developing multi-object tracking systems using classical algorithms or machine learning algorithms
• Strong experience in deep learning, Bayesian filtering, and optimization algorithms
• Proven experience in shipping perception software products to industry or consumers
• At least 4 years of development experience in Python/C++ environment
Preferred:
• Ph.D. with machine learning focus, or equivalent experience
• Experience developing and deploying machine learning models with compute constraints
Company:
Latitude AI is a wholly owned subsidiary of Ford Motor Company developing automated driving technologies. Founded in 2022, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.