Top Tech Jobs & Startup Jobs

The Predoctoral Young Investigator role involves developing robots, exploring foundational models, and contributing to open-source research, tailored for early-career candidates aiming for PhD programs.

Lead day-to-day operations of on-prem GPU HPC clusters and orchestration across hybrid cloud. Ensure platform reliability, performance, storage, and utilization; operate Beaker/Kubernetes/Slurm; manage vendor coordination, budgeted GPU allocation, user support, and a team of systems engineers, SREs, and developers to deliver the infrastructure roadmap.

Manage federal and private grant lifecycles including onboarding, post-award administration, subrecipient monitoring, budget tracking, reporting, and maintaining audit-ready records. Act as GMS power-user, support federal submission systems, schedule meetings, document control, and help implement AI-augmented administrative workflows.

The Software Engineer will develop scalable, high-quality AI applications for environmental conservation, working on projects utilizing ML models and cloud technology.

Lead partnership and adoption strategy for an AI-driven ocean protection program. Manage and mentor a remote partnerships team, drive product adoption and metrics, oversee contractors and legal/comms interfaces, represent the program externally, and support training, data delivery, and certification services. Term-limited 12-month role with possible extension or conversion.

The Director of AI Infrastructure oversees high-performance computing environments, manages GPU clusters, directs orchestration strategies, and serves as a technical bridge for research teams.

The role involves leading a research project on large language models, mentoring junior researchers, and publishing scientific papers, with a focus on advanced natural language processing methods.

Provide legal counsel on AI-related issues, support development stages for AI technologies, and ensure compliance with regulations while guiding the organization on legal matters.

Design, build, and operate large-scale AI/HPC infrastructure spanning job scheduling (Beaker), runtimes, networking, and storage. Drive automation, performance optimization, root-cause analysis for distributed GPU workloads, mentor engineers, and collaborate with researchers to prioritize and deliver scalable orchestration and cluster health tooling.

The Research Engineer will build AI tools for scientific discovery, developing ML and language models, and ensuring software engineering best practices in collaboration with an open-source community.