Latitude AI-posted 2 months ago
$211,920 - $317,880/Yr
Full-time • Manager
Palo Alto, CA
501-1,000 employees
Publishing Industries

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.

  • Lead and mentor a team of software engineers, driving high technical standards and continuous skill development for scalable machine learning infrastructure
  • Provide technical leadership and architectural vision for the design and implementation of solutions to generate, manage, and process large amounts of multi-sensor data for machine learning
  • Architect and guide the development of cloud services for data ingest, workflow orchestration, and distributed training at scale
  • Drive the implementation of advanced MLOps practices, including model artifact management, experiment tracking, and automated model deployment and testing strategies
  • Collaborate with cross-functional teams to integrate ML pipelines, ensuring the delivery of high-quality, production-ready software with a strong focus on reliability and stability
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master's degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)
  • Minimum of 7 years of experience in software development, with at least 3 years in a technical leadership or senior architect role
  • Extensive experience designing, building, and operating large-scale distributed systems and cloud infrastructure for machine learning
  • Proven expertise in developing and optimizing machine learning data pipelines, including data generation, management, and distributed training
  • Strong proficiency in python for developing high-performance, production-quality software
  • Demonstrated ability to architect complex software solutions for machine learning and autonomous systems
  • Track record of successfully delivering complex software projects from conception to production, emphasizing scalability and reliability
  • Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field
  • Hands-on experience with distributed machine learning frameworks and tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow
  • Experience with multi-sensor data fusion and processing techniques relevant to autonomous driving applications
  • Familiarity with safety-critical software development principles in automotive or robotics domains
  • Deep understanding of machine learning concepts, computer vision use cases, and the challenges of L2/L3 autonomy
  • 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
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