Senior Machine Learning Platform Software Engineer - Perception

This position is posted by Jobgether on behalf of Glydways. We are currently looking for 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 advanced perception systems. You will work on cutting-edge 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.

Accountabilities

• 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.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!