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[Remote] Senior Software Engineer - Perception State Estimation

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale. They are seeking a Senior Software Engineer specializing in perception state estimation to develop machine learning models and algorithms for multi-object tracking and road feature estimation, ensuring successful production-level implementation of 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

Skills

  • 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
  • Ph.D. with machine learning focus, or equivalent experience
  • Experience developing and deploying machine learning models with compute constraints

Benefits

  • Competitive compensation packages
  • High-quality individual and family medical, dental, and vision insurance
  • Health savings account with available employer match
  • Employer-matched 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance and the option to elect voluntary life insurance
  • Paid parental leave
  • Paid medical leave
  • Unlimited vacation
  • 15 paid holidays
  • Daily lunches, snacks, and beverages available in all office locations
  • Pre-tax spending accounts for healthcare and dependent care expenses
  • Pre-tax commuter benefits
  • Monthly wellness stipend
  • Adoption/Surrogacy support program
  • Backup child and elder care program
  • Professional development reimbursement
  • Employee assistance program
  • Discounted programs that include legal services, identity theft protection, pet insurance, and more
  • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives
  • Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements

Company Overview

  • Latitude AI is a wholly owned subsidiary of Ford Motor Company developing automated driving technologies. It was founded in 2022, and is headquartered in Pittsburgh, Pennsylvania, USA, with a workforce of 501-1000 employees. Its website is https://lat.ai/.
  • Company H1B Sponsorship

  • Latitude AI has a track record of offering H1B sponsorships, with 4 in 2024. Please note that this does not guarantee sponsorship for this specific role.
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