Normal Computing
Research Engineer, Algorithms
New York City
Sponsorship not specified$10k-$100kDetected 3 days ago
PythonFull-Stack DevelopmentAlgorithmsMachine LearningNLPAccessibilityElectrical EngineeringResearch
About the role
- The core challenge is not adapting standard GPU kernels to a new chip.
- It is rethinking how operations like attention, memory access, and long-context decoding behave when the underlying substrate uses stochastic analog computation in memory rather than conventional digital logic.
- Normal's ASICs run the heaviest operations of large model inference inside memory itself.
Responsibilities
- understand what transformer and diffusion workloads are well-suited to stochastic analog execution, design numerical methods that map onto the hardware's physical dynamics, and validate them against real silicon or high-fidelity simulation.
- This is a co-design role.
- The hardware and the algorithms are developed in parallel, which means you will influence architectural decisions, not just implement against a fixed specification.
- Develop algorithms for transformer inference workloads running on stochastic analog processing-with-memory hardware.
- Design numerical methods that exploit thermal noise and analog dynamics rather than working around them.
- Translate insights about model workloads into constraints and opportunities for hardware design.
- You will develop the computational methods that make AI inference run efficiently on Normal's thermodynamic hardware.
- Algorithm Development: Develop algorithms for transformer inference workloads running on stochastic analog processing-with-memory hardware.
Requirements
- Experience with inference optimization: quantization, sparsity, kernel fusion, or memory-efficient attention
- Familiarity with stochastic systems, probabilistic methods, numerical analysis, or analog computation
- Collaborative instinct and ability to work across hardware, architecture, and software teams
Skills
- Experience implementing algorithms close to hardware, not just in high-level frameworks
- Strong programming skills in Python and at least one systems language
Compensation
- $10k-$100k
Benefits
- PhD in machine learning, applied mathematics, physics, electrical engineering, or a related field
Equal opportunity
- Normal Computing is an Equal Opportunity Employer.
- We celebrate diversity and are committed to creating an inclusive environment for all employees.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
- Accessibility Accommodations
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