Senior Software Engineer at Dolby

Setup: Remote, Hybrid
Type: Full-time
Level: Senior

Description

Dolby is seeking a Senior Software Engineer to join their team. This role involves designing and implementing core platform services for a unified data and AI/ML model development and training platform. The engineer will work closely with AI/ML researchers, data engineers, and product teams to streamline the AI/ML lifecycle, focusing on reusable components like feature pipelines, embedding services, and training/evaluation frameworks. Key responsibilities include building platform primitives, developing developer tools, scaling distributed training systems, and defining observability stacks.

Required Skills

Python
Go
Java
C++
Kubernetes
AWS
GCP
PyTorch
TensorFlow
Ray

Additional Information

Required Previous Experiences: Proven track record building large-scale distributed systems and integrated data and AI/ML platforms.
Extensive hands-on experience with Kubernetes (EKS, GKE, self-hosted, etc) including autoscaling and job scheduling frameworks, GPU infrastructure, and AI/ML-related AWS/GCP managed services (VertexAI, SageMaker, etc).
Deep expertise with AI/ML ecosystem and tooling such as PyTorch, TensorFlow, Ray, experiment/feature/model stores (MLFlow, WnB, Feast, etc), Hugging Face
Strong developer-experience mindset: ability to translate research/engineering friction into elegant APIs, templates, and tools that reduce time-to-first-successful remote run and raise platform adoption.
Preferred Qualifications: Previous experience with Databricks.
Knowledge of multimodal AI/ML (audio, video, text) data preparation, feature extraction, model development, training, and evaluation workflows.
Experience with LLM/foundation model sizing/estimation, training requirements, pipelines, and deployment.
Experience designing feature stores or embedding services tightly integrated with training pipelines.