2 days ago
Boston, MA, USA or New York, NY, USASenior
Base Salary
$180k - $400k/yr
Responsibilities
- Prioritize infrastructure and tooling that connect long-term research goals to near-term business value.
- Prototype, build, deploy, and iterate AI systems using real users, data, and production constraints.
- Build and own large-scale training, inference, and distributed-systems foundations for multiple research tracks.
- Embed within customer environments as an applied AI technical partner.
- Contribute features, patterns, and abstractions to the Mosaic platform.
- Work with Embedded Product Managers to create reusable transformation playbooks.
Requirements
- Experience with high-performance, large-scale distributed systems and scaling research ideas into production.
- Demonstrated execution in ambiguous, fast-moving environments.
- Strong communication skills with technical and non-technical stakeholders.
- Motivation to own high-leverage infrastructure and systems work supporting AI research.
- Passion for AI’s transformative potential.
- Preferred experience with large-scale model training and inference, LLM post-training, vLLM, SGLang, Ray, Kubernetes, distributed checkpointing, multi-node or multi-GPU training, and asynchronous training or inference libraries.
Benefits
- Competitive compensation, equity, 401(k) matching, comprehensive health and family benefits, and lunch every day.
- Office-first work arrangement emphasizing in-person collaboration.
- Culture focused on autonomy, trust, inclusion, and belonging.
Tech Stack
Categories
About Percepta
Percepta (a GC Transformation Company) combines applied AI engineering with frontier research to transform enterprises. Unlike traditional AI point solutions or consulting engagements, Percepta embeds AI engineers, researchers, and product managers directly within organizations. They are enabled by products from across GC’s portfolio and beyond, and leverage their own Mosaic platform to orchestrate enterprise transformation. Percepta exemplifies GC’s approach to deploying integrated, AI-native operating systems at scale.