Founding Hardware EngineerBrahma Consulting Group • San Francisco, CA, United States
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Founding Hardware Engineer
Brahma Consulting Group • San Francisco, CA, United States
[job_card.variable_days_ago]
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- [job_card.full_time]
[job_card.job_description]Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, or a related discipline (interns may be considered for their flair). Hands-on experience in a semiconductor or EDA environment (e.g., NVIDIA, AMD, Intel, Synopsys, Cadence), 1+ years of full-time experience required, 3+ years preferred. Proficiency in scripting (Python, Bash) and experience with automation or tooling for design verification or integration. Proven track record of developing architectures and RTL for hardware blocks or IP. Experience with SystemVerilog, Verilog & SoC design methodologies. Part of leading edge tapeouts (7nm or smaller). Worked on at least one of synthesis, floor planning, place-and-route, physical verification, and timing. Familiar with one of Genus, Innovus, Tempus, Mentor Calibre, Synopsys IC Compiler, or other relevant EDA CAD tool (and associated TCL). Experience on AI-for-chip-design initiatives (e.g., at Synopsys, NVIDIA, GoogleDeepMind). Understanding of DFT, power optimization techniques, or low-power design flows. Experience on an IP development team, developing PCIe, PHY, LPDOR, MemoryControllers, NoC, CPU subsystems, or similar.
We're looking for hardware engineers with hands-on experience in chip design workflows-ideally those who have contributed to real-world tapeouts at companies like Apple, NVIDIA, Etched, or leading EDA vendors such as Synopsys or Cadence. Candidates with exposure to AI-for-chip-design initiatives or a strong understanding of modern ML workflows will stand out.
Responsibilities
- Drive direction and technical leadership across our multi-agent platform and domain-specific hardware knowledge base.
- Bring a deep understanding of chip design workflows and help shape product roadmap with real-world context.
- Integrate seamlessly into customer pipelines across RTL, PD, and architectural stages.
- Track evolving trends in both semiconductor design and AI-assisted design automation.
- Create internal benchmarks and datasets to rigorously evaluate system performance across RTL, PD, and architectural use cases.
Qualifications
SPECIALTY : DI (Design Integration, RTL, Architecture)
SPECIALTY : PD (Physical Design)
Preferred Experience
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