Description

You will design, develop, and maintain software components for ML/AI systems, deploying solutions to hardware platforms.

This role is hybrid.

Responsibilities

• Design and maintain reusable software components, frameworks, and tools primarily in Python.
• Lead development of ML features and incorporate models into complex build pipelines.
• Deploy ML solutions to hardware platforms, focusing on sound design and extensibility.
• Write unit tests, conduct cross-validation, and perform model robustness testing.
• Collaborate with counterparts to navigate technical ambiguity across multiple teams.

Required Skills

• 5+ years of professional software development experience.
• Strong proficiency in Python, writing scalable and reusable code.
• Experience with supervised and unsupervised learning methodologies.
• Background in time signal processing and computer vision.
• Familiarity with version control and CI/CD tooling, specifically GitHub Actions or Jenkins.
• Bachelor's degree in engineering, computer science, or a related field.
• Ability to operate autonomously and manage model deployment.

Preferred Skills

• Masters degree or beyond in AI/ML.
• Experience with automotive software, particularly for ADAS.
• Experience with C/C++.

Key Skills

Education

Any Graduate