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c python machine learning dsp gpuπ Description
- Deliver micro-architecture and RTL implementation of digital IPs and systems for high-throughput, low-power DSP and hardware accelerators.
- Experience in micro-architecture for low-power processors, on-chip buses, AI/ML accelerators, and PHY/MAC.
- Design and optimization of hardware/software interfaces with firmware engineers.
- Application-specific architecture optimization including energy/performance benchmarks, workload analysis, and profiling.
- Balance architectural trade-offs with process technology, workload type, and cost/performance in manufacturing.
- Collaborate on silicon bring-up tests with verification engineers.
π― Requirements
- B.S. in Electrical Engineering and/or Computer Science or related field, or equivalent experience
- Evidence of exceptional ability in EE/CS/CE
- Experience designing and implementing embedded software in C or Rust
- Expertise in SystemVerilog, C/C++, Python
- Experience designing and implementing emulation models, transactors, and test environments to replicate hardware behavior
- Experience with architecture, microarchitecture, and RTL in complex digital systems using industry tools
- Experience designing DSP pipelines from algorithm to RTL
π Benefits
- An opportunity to change the world and work with talented experts from different fields
- Growth potential; rapid advancement for team members with outsized impact
- Excellent medical, dental, and vision insurance (PPO)
- Paid holidays
- Commuter benefits
- Meals provided
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