Latitude AI ยท 1 day ago
Software Engineering Manager II, (Staff TLM) Scalable Machine Learning
Palo Alto, PA
Full-time
Onsite
Senior Level, Lead/Staff
$218K/yr - $327K/yr
7+ years expLatitude AI is a company that develops automated driving technologies, including L3 for Ford vehicles at scale. The Software Engineering Manager II will lead the Scalable ML team, driving high technical standards and providing architectural vision for machine learning solutions that manage large volumes of data.
Artificial Intelligence (AI)Information Technology
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
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
Company
Latitude AI
Latitude AI is a wholly owned subsidiary of Ford Motor Company that develops automated driving technologies.
501-1000 employees
H1B Sponsorship
Latitude AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (4)
Funding
Current Stage
Late StageLeadership Team
Sammy Omari
Chief Executive Officer
Peter Carr
Chief Technology Officer
Recent News
Company data provided by crunchbase