Neurophos
Staff Modeling Architect
$250K–$290K
Austin, Texas +1 · On-site · Staff · Full-time · Posted Sep 4, 2026
- Location
- Austin, Texas
Sunnyvale, California - Experience
- 8+ years; graduate research may count toward this.
- Education
- BS, MS, or PhD in Computer Engineering, Electrical Engineering, Computer Science, or equivalent practical experience.
About the job
Build and lead workload modeling that connects AI applications to Neurophos’s photonic accelerator architecture, software stack, and pre-tape-out functional models.
What you'll do
- Bring up AI inference workloads on functional models and connect them to the programming model and runtime.
- Co-design architecture and analyze performance, energy, and bottlenecks using models and RTL simulation.
- Set modeling methodology for a workload area, maintain interface and register specifications, and mentor engineers.
What they ask for
- 8+ years in hardware or functional modeling, performance modeling or simulation, or accelerator performance analysis; graduate research may count.
- Track record of shipping a model or study another team depended on.
- Strong grounding in computer architecture, microarchitecture, memory systems, and AI accelerators.
- Modern C++ (C++17 or later), Python, and experience working inside a discrete-event, cycle-approximate, or cycle-accurate simulator.
Nice to have
- PhD in Computer Engineering, Electrical Engineering, or Computer Science.
- Hardware/software co-design with compiler, runtime, or ISA work; simulation-kernel extension; or model correlation against silicon or measured systems.
Pay
$250K – $290K USD base salary
Tools
C++17, Python, NumPy, Pandas, Matplotlib, Verilator, SystemVerilog, Hugging Face
AI focus
Model and analyze AI inference workloads, including transformers, MoE, attention, quantization, and other accelerator workloads; co-design hardware and software for AI inference.
Model-written summary · the original posting is authoritative