AI Software Engineer (Vehicle Engineering)
Core
Build AI systems and applications for engineering and business problems, defining measurable success criteria and developing evaluations, benchmarks, and datasets for model and agent performance.
Role type
AI Software Engineer (Vehicle Engineering)
Builds
AI systems and applications for engineering and business problems
Domain
Automotive / AI Engineering
Deliverable
production ML models
Required skills
Python, Linux, PyTorch, Docker, Kubernetes, data preparation, training workflows, evaluation metrics, error analysis, reproducible experimentation
Preferred skills
reinforcement learning, agent tools, reward functions, model fine-tuning, experiment tracking, backend services, APIs, databases, audit trails
Technologies
Docker, Kubernetes, PyTorch
Responsibilities
Develop evaluations, benchmarks, datasets, automated graders, and scoring methods; Create reproducible training and evaluation environments; Integrate models and agents with engineering tools and company data; Run experiments, establish baselines, and analyze failures; Maintain deployed systems through testing, monitoring, and debugging
Seniority
Mid-level, hands-on IC
