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Develop and deploy lightweight machine learning models for edge AI, working on hardware integration and optimization techniques while mentoring junior engineers.

The engineer will design analog integrated circuits, conduct simulations and validations, collaborate with teams, mentor juniors, and document specifications.

Develop and optimize Python or C++ code to compress, convert, deploy, and run neural network models efficiently on analog compute-in-memory chips. Profile performance, support software design and runtime environments, collaborate with AI researchers and hardware engineers, and participate in code reviews, testing, and documentation.

Develop and optimize lightweight machine learning models for edge AI applications, integrating into production systems and mentoring junior engineers.

The role involves leading RTL design and verification for ASIC/SoC products, mentoring junior engineers, and performing PPA analysis to optimize designs.

The Business Development Lead will drive revenue growth by aligning TetraMem's technology with customer solutions, manage long sales cycles, and develop key industry relationships.

The role involves developing mixed-signal verification plans, creating testbenches, writing test cases, collaborating with design teams, and optimizing verification methodologies for IC designs.

Support the design, verification, and integration of digital systems in AI accelerators through RTL design and simulations.

Assist with schematic design, simulation, layout, and transistor-level analysis of analog and mixed-signal CMOS circuits. Support silicon validation, test chip bring-up, performance measurements, and circuit improvement while collaborating with the analog team in lab and simulation environments.

Develop and optimize compiler, runtime, and SDK components for TetraMem's analog compute-in-memory AI hardware. Translate ML models into efficient executables, implement low-level optimizations and debugging tools, integrate ML frameworks and deployment pipelines, benchmark and profile workloads, support hardware bring-up and validation, and collaborate across teams to improve system performance.