Senior Machine Learning Platform Software Engineer - Perception

Jobgether; United States; Hybrid; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary and equity options

Flexible work environment

Health, dental, and vision benefits

Professional growth opportunities

Collaborative workplace culture

Job summary

A leading autonomous transportation firm in the United States is looking for a Senior Machine Learning Platform Software Engineer - Perception. This role focuses on developing perception systems for autonomous vehicles and requires solid C++ expertise alongside machine learning knowledge. The ideal candidate has experience with ML model deployment, Docker, and Kubernetes, and will work in a flexible environment with great growth opportunities.

Qualifications

• 5+ years of experience in C++ software design and development.
• Experience with managing large, multimodal datasets.
• Strong self-starter capable of end-to-end solution delivery.

Responsibilities

• Develop and enhance ML data extraction and labeling automation pipelines.
• Build and maintain robust infrastructure and ETL pipelines.
• Design and implement metrics pipelines and dashboards.

Skills

C++ software design

Data management

Collaboration

Machine Learning model deployment

Containerization (Docker)

Orchestration (Kubernetes)

Cloud platforms (AWS, GCP, Azure)

Communication skills

Tools

MLflow

SageMaker

Python

Job description

Senior Machine Learning Platform Software Engineer - Perception

This position is posted on behalf of Glydways. We are seeking a Senior Machine Learning Platform Software Engineer - Perception in the United States. This role provides an exciting opportunity to shape the future of autonomous transportation by developing perception systems. You will work on ML pipelines and infrastructure that enable safe, reliable, and efficient operation of autonomous vehicles. Collaborating with a team of engineers and data scientists, you will design, implement, and optimize data processing, model training, and deployment workflows. This position requires a balance of software engineering expertise, machine learning knowledge, and practical problem-solving skills in a fast-paced, innovative environment. Your contributions will directly impact the development of scalable, production-grade perception systems that power next-generation mobility solutions. This role is ideal for a self-motivated engineer passionate about AI, robotics, and real-world autonomous systems.

Responsibilities

• Develop and enhance ML data extraction and labeling automation pipelines for perception systems
• Build and maintain robust infrastructure and ETL pipelines to support training, validation, and deployment of ML models
• Design, implement, and monitor metrics pipelines and dashboards to track perception system performance in production
• Manage interfaces with third-party labeling services to ensure consistent, high-quality data for model development
• Ensure reproducibility, traceability, and observability of perception workflows across the platform
• Collaborate with cross-functional teams to support perception system development, testing, and demonstrations

Requirements

• 5+ years of experience in modern C++ software design and development
• Proficiency in managing and curating large, multimodal datasets
• Strong self-starter with experience delivering end-to-end solutions from ambiguous requirements in collaborative environments
• Excellent communication skills and a collaborative mindset
• Experience or familiarity with robotics or autonomous driving platforms is a plus
• Practical experience deploying ML models in production-grade C++ software stacks, including Python proficiency
• Knowledge of containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure) is desirable
• Hands-on experience with ML platforms such as MLflow, SageMaker, or equivalent, and visualization of LiDAR point cloud data is a plus

Benefits

• Competitive salary and equity options
• Flexible work environment, with opportunities for remote collaboration
• Health, dental, and vision benefits
• Professional growth opportunities in cutting-edge AI and autonomous systems
• Collaborative, inclusive, and innovation-driven workplace culture
• Participation in developing technology with a tangible impact on sustainable, future mobility