AI and Machine Learning Algorithms Architect / Researcher

Job Title

AI and Machine Learning Algorithms Architect / Researcher

Role Summary

Perform research and development of high-performance AI and machine learning algorithms and define how those algorithms map to hardware. Work closely with data science, software, and hardware teams to analyze options, produce specifications, and guide implementations to meet performance, power, and area targets.

Experience Level

Mid-level (Experienced). The posting lists the role as "Experienced" but does not specify years of experience.

Responsibilities

Key responsibilities include algorithm research, architecture analysis, cross-team collaboration, and performance optimization.

• Research and develop very high-performance AI/ML algorithms.
• Analyze algorithmic and architecture options to identify optimal design points.
• Collaborate with data science, software, and hardware teams to define specifications and implementations.
• Provide technical proposals, analysis, and recommendations to influence design direction.
• Work with implementation teams to meet timing, area, performance, and power goals.
• Identify performance bottlenecks and optimize system performance.

Requirements

Core skills and expectations for candidates. Must-have items are listed first; nice-to-have items follow.

• Must-have: Proven knowledge of machine learning, deep learning, and other AI algorithms.
• Must-have: Strong communication and interpersonal skills for collaboration with a global team.
• Must-have: Ability to learn new technologies quickly and meet project milestones and deadlines.
• Must-have: Experience working on or optimizing hardware for AI and ML applications; membership on a core design team is expected.
• Nice-to-have: Strong background in computer architecture.

Education Requirements

BS or MS degree in Electrical Engineering or Computer Science.

About the Company

Company: Tachyum

Headquarters: Sunnyvale, CA, USA

Tachyum develops Prodigy, a universal processor that combines CPU, GPU, and TPU capabilities to deliver high-performance, energy-efficient computing for AI, HPC, and cloud data centers. The company focuses on ultra-low power, hyperscale deployments and operates offices in the United States and Slovakia.