AI Compute Software Engineer for Scientific Systems

Schmidt Entities; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Schmidt Sciences is seeking a Software Engineer to provide technical leadership and application development across AI Institute and Schmidt Sciences multidisciplinary efforts. The role focuses on cutting‑edge AI development and involves up to 30% travel domestically and internationally.

You'll own software architecture across multiple codebases, evaluate resource needs, mentor teams, and implement new features with a mix of open source and proprietary APIs for scalable AI services.

Qualifications

• A Bachelor’s degree from an accredited institution with a focus on Computer Science, Mathematics, or a related field.
• 5+ years of professional experience developing high‑quality software applications.
• Proficiency with software engineering tools and best practices.
• Proficiency with modern machine‑learning software frameworks, such as JAX, PyTorch, TensorFlow, etc.
• Exposure to CPU/GPU/TPU acceleration techniques with popular SDKs (e.g., OpenCL, CUDA, ROCm, Cloud TPU).
• Prior work with containerized Linux workloads, including GPU‑accelerated configurations.
• Basic knowledge of computer networking and distributed computing.
• Ability to design, train, deploy, or maintain state‑of‑the‑art AI models at a production scale.
• Experience producing technical writing for expert and general audiences.
• Good track record of collaborative impact in high‑intensity, team‑based environments.
• Sense of controlled urgency in driving work to completion.
• The highest integrity and ability to maintain confidentiality.
• Be able to travel within the U.S. and internationally on a regular basis as needed.
• Expert‑level experience and industry credentials in the software and hardware frameworks that drive modern AI.
• Exposure to multiple steps in the software design lifecycle, such as evaluating scalability, data requirements, compute needs, and selecting infrastructure components.
• Expertise in relevant technical focus areas, e.g., AI model optimization and hardware accelerated frameworks.
• Ability to work with and effectively translate technical concepts across multiple scientific disciplines.
• Ability to critically evaluate scientific and technical publications and emerging methods in related disciplines.
• Experience working with science‑focused institutions such as philanthropic organizations or academic/government research institutions.

Responsibilities

• Select the optimal tools and algorithms to implement solution components that enable new scientific capabilities or mitigate gaps and address test findings.
• Own cognizant responsibility for the software architecture of multiple codebases using different programming languages.
• Analyze and assess model resource requirements, review operational plans (e.g., virtualization, cloud, etc.), and evaluate other technical opportunities.
• Assist existing programs by providing software development expertise and mentorship, while working closely and collaboratively with multiple subject matter expert teams.
• Work with other members of the Schmidt Sciences technical team to implement new software features and capabilities in support of diverse research activities.
• Maintain awareness and track industry trends for tools and frameworks that address data management, analysis, visualization, monitoring, and security of research applications.
• Participate in relevant industry events and forums, representing Schmidt Sciences’ presence on AI and advanced computing issues.

Skills

Software architecture

Software engineering

ML frameworks

Distributed computing

Leadership

Mentorship

Programming languages

Performance optimization

Education

Bachelor's degree in CS/Math

Tools

CUDA

OpenCL

Docker

Linux

Cloud platforms

Job description

Schmidt Sciences is seeking a Software Engineer to provide technical leadership and application development across AI Institute and Schmidt Sciences multidisciplinary efforts. The role focuses on cutting‑edge AI development and involves up to 30% travel domestically and internationally.

You'll own software architecture across multiple codebases, evaluate resource needs, mentor teams, and implement new features with a mix of open source and proprietary APIs for scalable AI services.