State Estimation Engineer (Localization & Mapping)
Welcome to Francis AI, where the future is ours to make.
This is our mantra and the mark of our difference—and by no accident. It’s a decision: We choose, every day, to uphold our collective promise.
Our six cultural values make it all possible. The qualities inherent to our identity, they guide everything we do as individuals and as a global team: what we say, how we behave and engage, the people we hire, even the innovations we pursue. They allow us to act as one across all levels, engagements, and borders, take our plans beyond the boardroom, and ultimately deliver exceptional work to our customers.
Come join us, and help us build a vision-based data platform for smart enforcement and smart cities with our six core values in mind:
Customer Focus
Passion
Collaboration
Empowerment
Transparency
Integrity
Responsibilities:
As a core member of our engineering team, the State Estimation Engineer will derive and implement novel real-time pose estimation algorithms. You will need to drive R&D to then execute algorithms to solve large-scale mapping. You will closely collaborate with other engineers to develop algorithms for in-situ and in-factory multi-sensor calibration. Familiarity with multiple sensors such as GPS, IMU, camera, and wheel odometry needed.
Qualifications:
MS or PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field
Intuitive understanding of classical ML, Linear Algebra, Stochastic Processes, Geometric Computer Vision and Optimization (Convex, Nonlinear)
Deep experience in one or more areas: Kalman Filter and its variants, MAP, Sequential Monte Carlo (particle filter), Nonlinear Least squares, IRLS or MHT
Strong C++ programming and software design skills
Familiarity with multiple sensors such as GPS, IMU, camera, and wheel odometry
Bonus:
Experience deploying an estimator for say SLAM/VIO in a real application
Understanding of numerical stability, sensor modeling and system/noise identification
Understanding of theoretical shortcomings in modern algorithms and how to overcome them
There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields (AI, Computer Vision, Government Contracting, Systems & Device Engineering, Operations, Communications, and more)!
Just a few of our perks include:
Competitive compensation and equity package
Options for 100% company paid medical, dental, and vision coverage for employees and dependents (for US employees)
Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
Life, AD&D, Short and Long Term Disability Insurance
Aflac Critical Illness, Accident Insurance & Hospital Indemnity Insurance
MetLife Legal Plan(s) & Pet Insurance
Farmers GroupSelect Auto & Home Insurance
401(k) with 3% company matching
Professional development reimbursement
Wellness stipends
Unlimited PTO
Remote work opportunities
Home office & technology reimbursement
Daily catered lunches in our Oakland office
Francis AI is committed to creating a diverse and inclusive environment that fosters learning from each other. We celebrate people of diverse backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and are committed to providing a work environment free of harassment and discrimination. Francis AI is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
To all recruitment agencies: Francis AI does not accept agency resumes. Please do not forward resumes to our jobs alias, Francis AI employees or any other company location. Francis AI is not responsible for any fees related to unsolicited resumes.