Software Engineer - Fleet Mapping

DeWinter BH; Foster City (CA); Remote; USD 120,000 - 180,000; Full time

Job summary

DeWinter Group is seeking a Software Engineer for Fleet Mapping to develop offline high-definition semantic maps for autonomous driving. You will design, train, validate, and integrate ML models, and build scalable pipelines to map new features.

The role is fully remote for candidates located in California with three openings, 6-month duration, start ASAP. Strong C++ and distributed systems experience preferred.

Qualifications

• 5+ years of professional C++ experience.
• Strong understanding of networking and UDP.
• Experience with distributed systems.
• Excellent written and verbal communication.
• Ability to research, implement, and train ML models.
• Experience curating, validating, and labeling datasets for model training.
• Ability to integrate models into broader software or data-processing pipelines.
• Strong collaboration with validation teams.

Responsibilities

• Design, train, validate, and integrate ML models for semantic maps.
• Develop offline mapping pipelines to automate feature mapping.
• Collaborate with validation teams and other software groups.
• Assist in deploying models into broader systems.

Skills

C++

Networking (UDP)

Distributed systems

ML model training

Data labeling

Pipelines

Collaboration

Communication

Education

B.S. in Computer Science or Engineering

Job description

Software Engineer – Fleet Mapping

Overview

Join a Perception team developing the systems that help autonomous vehicles understand and navigate complex environments. In this role, you will contribute to an offline mapping initiative focused on high-definition semantic maps—an essential component of enabling fully autonomous driving at scale. You will design, train, validate, and integrate machine learning models that detect semantic map elements, while helping build scalable pipelines that automate the mapping of new features.

This is a remote position for candidates located in California, with three openings available.

Required Skills

• 5+ years of professional experience with C++
• Strong understanding of networking protocols, ideally including UDP
• Experience working with highly resilient distributed systems
• Excellent written and verbal communication skills
• Ability to research, implement, and train machine learning models
• Experience curating, validating, and labeling datasets for model training and validation
• Ability to integrate models into broader software or data-processing pipelines
• Strong collaboration skills, including the ability to work closely with validation teams

Nice to Have Skills

• Experience in robotics
• Experience with 3D computer vision
• Experience with mapping systems or technologies
• Experience working with machine learning infrastructure
• Background automating new features within mapping or perception pipelines

Preferred Education and Experience

• A degree in computer science, engineering, robotics, or a related field is preferred; specific educational requirements were not provided.
• 5+ years of professional C++ experience
• Experience developing and deploying machine learning models in complex, distributed environments

Other Requirements

• Work arrangement: Fully remote
• Location: California
• Employment type: W2 only
• Duration: 6 months
• Start: ASAP