Principal Compute Architect

Job description

Job requirements

• Proven track record in designing or evaluating AI accelerators, neural network inference engines, or signal processing hardware, with a history of delivering end-to-end projects.
• Deep expertise in hardware/software co-design, embedded compute tradeoffs, and optimizing for real-time, low-power systems.
• Hands-on experience with RTL design (Verilog/VHDL/SystemVerilog), simulation, synthesis tools, and ASIC/FPGA development.
• Ability to model and evaluate AI inference workloads, including performance bottlenecks and architectural tradeoffs.
• Strong leadership and communication skills to translate complex technical insights into actionable executive recommendations.
• Experience in robotics, autonomous systems, edge computing, or similar high-stakes environments where scrappiness was key to success.
• Familiarity with low-power design, mixed-signal integration, hardware security, chip bring-up, verification, and validation.
• Prior collaboration with foundries, ASIC vendors, or design houses in resource-constrained settings.