Member Of Technical Staff High Performance Computing Engineer (AI)

TL;DR

Member Of Technical Staff High Performance Computing Engineer (AI): Develop and optimize secure, high-performance AI platform services powering Copilot on some of the world's largest supercomputers with an accent on scalable cloud infrastructure and AI platform integration. Focus on building next-generation AI products, collaborating with cross-functional teams, and delivering high-quality, maintainable code in a fast-paced environment.

Location: Must be local to the San Francisco Bay Area, Mountain View, United States, and work onsite at least 3 days a week

Salary: $220,800–$331,200 per year (San Francisco Bay Area range)

Company

hirify.global is a leading technology company advancing AI products including Copilot, Bing, Edge, and generative AI research, focused on innovation and impactful consumer experiences.

What you will do

• Build secure and performant AI platform services powering Copilot.
• Collaborate with platform, infrastructure, application engineers, and AI researchers to develop next-generation AI products.
• Ship high-quality, well-tested, secure, and maintainable code.
• Overcome roadblocks to deliver work quickly and iteratively to users.
• Work in a fast-paced, design-driven product development cycle.
• Embody company culture and values emphasizing respect, integrity, and accountability.

Requirements

• Must be local to the San Francisco Bay Area and able to work onsite at least 3 days a week.
• Bachelor’s degree in computer science or related field with 6+ years engineering experience or equivalent.
• 6+ years experience with high-scale training clusters and frameworks like Nvidia InfiniBand, SLURM, Kubernetes, Ray.
• 6+ years building scalable services on public cloud infrastructure such as Azure, AWS, or GCP.
• Proficiency in programming languages including Python, C#, C++, Rust, or Java.
• Strong communication skills to collaborate with technical and non-technical stakeholders.

Nice to have

• Experience with LLM training clusters and AI platforms/frameworks.
• Experience deploying and scaling machine learning models.
• Passion for learning new technologies and staying current with AI and web development trends.

Culture & Benefits

• Inclusive culture based on respect, integrity, and accountability.
• Growth mindset and collaborative environment.
• Opportunity to work on cutting-edge AI products impacting millions.
• Competitive salary and benefits aligned with San Francisco Bay Area market.
• Hybrid work model with onsite presence required.