Research Engineer, Algorithms
Core
Develop algorithms for LLM inference workloads running on in-memory hardware and demonstrate improvements through simulation and silicon.
Role type
Research Engineer, Algorithms (LLM inference on novel hardware)
Builds
Evaluation frameworks, benchmarks, and prototypes for algorithm behavior in simulation and on real hardware
Domain
Machine Learning / Hardware Architecture / Analog Computing
Deliverable
production ML models
Required skills
LLM inference optimization, numerical analysis, Python, systems programming, algorithm design, hardware-software co-design, simulation, FPGA prototyping
Preferred skills
PhD in ML/Physics/EE, analog/mixed-signal systems experience, in-memory compute knowledge, publications in efficient inference
Technologies
Python, FPGA, simulation tools, LLM frameworks
Responsibilities
Design numerical methods exploiting thermal noise and analog dynamics; prototype and iterate from simulation to silicon; optimize performance at algorithmic and gate levels; translate workload insights into hardware design constraints
