Neurophos · 1 day ago
Senior Modeling Engineer
San Francisco
Full-time
Onsite
Senior Level
5+ years expNeurophos is a promising startup revolutionizing AI computation with its metamaterial-based optical computing platform. They are seeking experienced hardware modeling engineers to develop functional and performance models for the next generation of Neurophos chips, working on cutting-edge hardware within a collaborative environment.
Artificial Intelligence (AI)Data CenterHardware
Responsibilities
Implement functional models (fmod) of optical compute engines, vector processors, and memory systems
Develop performance models (pmod) with discrete-event timing and power estimation
Work within the YinYang (libyy) event-driven framework to build modular, reusable components
Design clean abstractions and interfaces between hardware blocks
Integrate with Verilator/SystemVerilog for RTL co-simulation and validation
Build trace infrastructure for both coupled and independent simulation modes
Validate models against RTL and contribute to architectural validation efforts
Collaborate with architects, RTL designers, and software engineers
Optimize simulation performance while maintaining modeling fidelity
Qualification
Required
BS, MS, or PhD in Computer Engineering, Electrical Engineering, or Computer Science
5-7+ years of experience in hardware modeling, functional simulation, or performance modeling
Strong C++ programming skills (modern C++17/20/23 preferred)
Experience with hardware modeling frameworks, transaction-level modeling, or event-driven simulation
Understanding of computer architecture fundamentals (pipelines, memory systems, accelerators)
Ability to balance modeling fidelity with simulation speed based on analysis objectives
Strong debugging and validation skills for complex hardware models
Effective communication and collaboration across hardware/software teams
Python proficiency for scripting, analysis, and automation
Preferred
Experience with SystemC, TLM 2.x, or custom event-driven simulation frameworks
Background in accelerator modeling (GPU, TPU, NPU, DSP)
Familiarity with Verilator, SystemVerilog, or RTL co-simulation
Knowledge of memory system modeling (HBM, DRAM, caches)
Understanding of ML workloads and framework internals (PyTorch, TensorFlow)
Experience with performance analysis, profiling, and bottleneck identification
Exposure to power modeling frameworks (McPAT, Cacti)
Background in optical computing, photonics, or analog computing
Experience with trace-driven simulation methodologies
Benefits
Competitive compensation, including salary and equity options.
Opportunities for career growth and future team leadership.
Access to cutting-edge technology and state-of-the-art facilities.
Opportunity to publish research and contribute to the field of efficient AI inference.
Company
Neurophos
Photonic ExaOPS AI chips
11-50 employees
H1B Sponsorship
Neurophos has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
Funding
Current Stage
Early StageTotal Funding
$16.1MKey Investors
Gates Frontier FundMetaVC Partners
2025-12-08Series Unknown· $1.9M
2023-12-14Seed· $7.2M
2023-10-03Seed· $7M
Leadership Team
Patrick T. Bowen
CEO
Andrew Traverso
Co-founder & Chief Scientist
Recent News
Trajectory Ventures
2026-01-21
2025-09-24
Company data provided by crunchbase