Compute Software Engineer, AI and Advanced Computing Institute
Team: AI
Location: New York, NY, Washington D.C., Bay Area, CA
Commitment: Full-Time
Workplace Type: onsite
Primary Technical Development
- 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.
Additional Schmidt Sciences Support
- 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.
Required Knowledge, Skills, and Abilities
- 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.
Preferred Knowledge, Skills, and Abilities
- Expert-level experience and industry credentials in the software and hardware frameworks that drive modern AI, and competence in at least one, and preferably multiple, fields of science impacted by modern AI.
- Exposure to multiple steps in the software design lifecycle, such as evaluating the 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.
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