Senior Software Engineer - Scalable Machine Learning

latitude; United States; Remote; USD 179,000 - 269,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Employer-matched retirement savings

Paid parental and medical leave

Vacation and 15 paid holidays

Wellness and commuter support

Professional development reimbursement

Family care programs

Job summary

Latitude is looking for an engineer to build software and cloud infrastructure that helps machine learning teams train models efficiently on large volumes of multi-sensor data. The role covers data ingestion, workflow orchestration, distributed training, and MLOps, with close collaboration across perception and robotics teams to deliver production-ready systems.

Responsibilities include designing cloud services for data ingestion and distributed model training, developing data pipelines,

Qualifications

• Bachelor’s degree plus 4+ years, a master’s degree plus 2+ years, or a PhD.
• Track record of delivering complex software projects to production.
• Experience building ML data pipelines, data generation systems, and distributed training workflows.
• Experience designing and operating large-scale distributed systems and cloud infrastructure.
• Strong Python and/or C++ production-quality software skills.

Responsibilities

• Design and operate cloud services for data ingestion, workflow orchestration, and distributed model training.
• Develop systems to generate, manage, and process large multi-sensor training datasets.
• Improve MLOps workflows for model artifacts, experiment tracking, deployment, and automated testing.
• Integrate ML pipelines with cross-functional engineering and robotics teams.
• Mentor junior engineers and contribute technical guidance to improve software development practices.

Skills

Python

C++

Software development

Distributed systems

MLOps

Education

Bachelor's degree

Master's degree

PhD

Tools

Ray

PyTorch

Dagster

LakeFS

PyArrow

Job description

Role overview

Build the software and cloud infrastructure that helps machine learning teams train models efficiently on large volumes of multi-sensor data. The role spans data ingestion, workflow orchestration, distributed training, and MLOps, with close collaboration across perception and robotics teams to deliver production-ready systems.

Responsibilities

• Design and operate cloud services for data ingestion, workflow orchestration, and distributed model training.
• Develop systems to generate, manage, and process large multi-sensor training datasets.
• Improve MLOps workflows for model artifacts, experiment tracking, deployment, and automated testing.
• Integrate machine learning pipelines with cross-functional engineering and robotics teams.
• Mentor junior engineers and contribute technical guidance to improve software development practices.

Requirements

• Relevant degree and experience: a bachelor’s degree plus 4 or more years of related work, a master’s degree plus 2 or more years, or a PhD.
• Record of delivering complex software projects from initial design through production.
• Experience building machine learning data pipelines, data generation systems, and distributed training workflows.
• Experience designing and operating large-scale distributed systems and cloud infrastructure.
• Strong Python and/or C++ skills for production-quality software.

Nice to have

• Graduate study in computer science, electrical engineering, robotics, or a related discipline.
• Experience with distributed ML tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow.
• Familiarity with multi-sensor data processing, sensor fusion, computer vision, or autonomous systems.
• Knowledge of safety-critical software practices in automotive or robotics settings.

Benefits and work setup

• medical, dental, and vision coverage
• employer-matched retirement savings
• paid parental and medical leave
• vacation and 15 paid holidays
• wellness and commuter support
• professional development reimbursement
• family care programs

It gives a California base salary range of $179,200–$268,800, with compensation based on role-related factors.

Visa sponsorship is available; permanent US work authorization is required.