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Posted : Tuesday, December 05, 2023 04:44 PM
Latitude AI is an automated driving technology company developing a hands-free, eyes-off driver assist system for next-generation Ford vehicles at scale.
We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup.
Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich.
, and Palo Alto, Calif.
Meet the team: In the Intelligent Systems team, we convert photons into understanding, primarily via computer vision and machine learning.
Our organization is responsible for all downstream tasks of the vehicle sensor suite onboard, as well as the full offboard/cloud infrastructure for machine learning at Latitude.
Come help us make the world safer, and driving more pleasant.
What you'll do: Design, implement, and evaluate solutions to practical challenges in multi-object tracking for autonomous vehicles Work closely with various sensor detection teams (lidar, camera, radar, etc.
) and tracking customers (prediction and motion planning) to understand/communicate requirements, and facilitate cross-functional feature integration You will stay up to date with the state of the art in various perception fields and use this knowledge to help guide new features and architecture Your work will be essential to fielding a fleet of autonomous vehicles across multiple cities, and you will have direct exposure to real world data, feedback, and the satisfaction of having contributed to a state-of-the art autonomous vehicle You will be responsible for diagnosing and fixing issues that arise in the autonomous vehicle fleet You will be responsible for evaluating the performance of your work using a metrics driven approach, and working to design new metrics and evaluation tools/procedures as needed What you'll need to succeed: Bachelor's degree in Computer Science, ML, Physics, Math or related technical field and 4+ years of relevant experience Strong experience C++ coding for real-time applications Technical expertise (4-7+ years) in the field of probabilistic state estimation, probabilistic inference, and information/sensor fusion.
Strong experience with 3D extended multi-object tracking from a ground robot.
This includes solving the data association problem as well as estimating object type, 3D extent (size/shape), kinematics, and other object attributes given a history of detections from a variety of sensors (e.
g.
lidar, radar, camera, etc.
) Strong problem solving skills and algorithm design experience Nice to have: Master's Degree in computer science, engineering, or related field and 2 years working experience Experience with production robots operating in uncontrolled, uncooperative environments Direct experience with Level 4 self-driving cars What we offer you: 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 Complimentary daily lunches, beverages, and snacks for onsite employees 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 The expected base salary range for this full-time position in California is $170,560-$234,520 USD.
Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.
Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Learn more about Latitude's team, mission and career opportunities at lat.
ai! Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis.
Verification of employment eligibility will be required at the time of hire.
Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce.
All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup.
Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich.
, and Palo Alto, Calif.
Meet the team: In the Intelligent Systems team, we convert photons into understanding, primarily via computer vision and machine learning.
Our organization is responsible for all downstream tasks of the vehicle sensor suite onboard, as well as the full offboard/cloud infrastructure for machine learning at Latitude.
Come help us make the world safer, and driving more pleasant.
What you'll do: Design, implement, and evaluate solutions to practical challenges in multi-object tracking for autonomous vehicles Work closely with various sensor detection teams (lidar, camera, radar, etc.
) and tracking customers (prediction and motion planning) to understand/communicate requirements, and facilitate cross-functional feature integration You will stay up to date with the state of the art in various perception fields and use this knowledge to help guide new features and architecture Your work will be essential to fielding a fleet of autonomous vehicles across multiple cities, and you will have direct exposure to real world data, feedback, and the satisfaction of having contributed to a state-of-the art autonomous vehicle You will be responsible for diagnosing and fixing issues that arise in the autonomous vehicle fleet You will be responsible for evaluating the performance of your work using a metrics driven approach, and working to design new metrics and evaluation tools/procedures as needed What you'll need to succeed: Bachelor's degree in Computer Science, ML, Physics, Math or related technical field and 4+ years of relevant experience Strong experience C++ coding for real-time applications Technical expertise (4-7+ years) in the field of probabilistic state estimation, probabilistic inference, and information/sensor fusion.
Strong experience with 3D extended multi-object tracking from a ground robot.
This includes solving the data association problem as well as estimating object type, 3D extent (size/shape), kinematics, and other object attributes given a history of detections from a variety of sensors (e.
g.
lidar, radar, camera, etc.
) Strong problem solving skills and algorithm design experience Nice to have: Master's Degree in computer science, engineering, or related field and 2 years working experience Experience with production robots operating in uncontrolled, uncooperative environments Direct experience with Level 4 self-driving cars What we offer you: 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 Complimentary daily lunches, beverages, and snacks for onsite employees 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 The expected base salary range for this full-time position in California is $170,560-$234,520 USD.
Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.
Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Learn more about Latitude's team, mission and career opportunities at lat.
ai! Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis.
Verification of employment eligibility will be required at the time of hire.
Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce.
All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
• Phone : NA
• Location : Palo Alto, CA
• Post ID: 9003032719
