Senior Software Engineer, Offboard Models

Latitude AI; Pittsburgh, Detroit, Palo Alto (Allegheny County, MI, CA); Hybrid; USD 174,000 - 261,000; Full time

Job summary

Latitude AI seeks a Senior Software Engineer to join the Offboard Models team focusing on cutting-edge auto-labeling and data augmentation solutions. The ideal candidate will leverage their expertise in machine learning and deep learning frameworks like PyTorch and TensorFlow to create industry-leading software. This position offers competitive compensation, comprehensive health coverage, and unlimited vacation in a dynamic and impactful work environment.

Benefits

Competitive compensation packages

High-quality medical, dental, and vision insurance

401(k) with employer match

Unlimited vacation

Paid parental leave

Daily lunches and snacks

Employee assistance program

Qualifications

• 4+ years of relevant experience in machine learning.
• Strong experience developing deep learning solutions.
• Experience with perception systems using cameras, LiDAR, RADAR.

Responsibilities

• Develop auto-labeling and data augmentation solutions for onboard perception.
• Design state-of-the-art solutions based on literature and raw data.
• Collaborate on algorithm design and prototyping.

Skills

Machine Learning

Deep Learning

Auto-labeling

Data Augmentation

Education

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field

Master's degree

PhD

Tools

PyTorch

TensorFlow

Python

C++

Job description

Senior Software Engineer, Offboard Models

Palo Alto, CA, Pittsburgh, PA, Detroit, MI, Remote

Latitude AI ( lat.ai ) develops automated driving technologies, including L3, for 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:

The Offboard Models team is a group of highly skilled and experienced professionals who specialize in cutting-edge computer vision and machine learning technology. Together, we collaborate to create auto-labeling and data augmentation solutions for autonomy consumers including perception and mapping.

On the auto-labeling front, the primary focus is on developing multi-view, multi-sensor deep learning models capable of leveraging the maximal sensing suite on our development and consumer vehicles to perform a wide range of tasks such as 3D object detection, lane line detection and scene segmentation.

What you’ll do:

• Develop auto-labeling and/or data augmentation solutions for addressing the data diversity and/or annotation needs for onboard perception
• Read literature, analyze raw data, and design state-of-the-art solutions
• Collaborate with perception experts and experienced roboticists on algorithm design, prototyping, testing, cloud deployment, and productization
• Develop clean and efficient software for auto-labeling and/or data augmentation modules interfacing with consumer modules such as perception and resimulation
• Build and maintain industry-leading software practices and principles
• Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment

What you'll need to succeed:

• 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)
• Strong knowledge and experience (4+ years) in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch, Tensorflow, or similar frameworks
• Experience in developing perception systems using sensors such as camera, LiDAR, and RADAR
• At least 4 years of development experience in Python/C++ environments

Nice to have:

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
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• 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

Learn more about Latitude’s team, mission and career opportunities at lat.ai !

The expected base salary range for this full-time position in California is $174,000 - $261,000 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.

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.

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