Neurophos
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Recently posted jobs
Artificial Intelligence • Machine Learning • Semiconductor
The Principal Analog Design Engineer will design high-speed analog circuits and collaborate with teams to optimize performance in photonic AI systems.
Artificial Intelligence • Machine Learning • Semiconductor
Design, simulate, and optimize passive silicon photonic components for AI applications, collaborate with foundry partners and cross-functional teams.
Artificial Intelligence • Machine Learning • Semiconductor
Develop hardware-aware post-training quantization and model adaptation methods for LLMs, diffusion models, and other machine learning applications targeting optical inference hardware. The role involves numerical and constrained optimization, controlled experiments, research-quality implementations, model deployment across PyTorch, Triton, and JAX, GEMM optimization, and collaboration with hardware and software teams to co-optimize AI architectures. The engineer will also publish research while protecting company intellectual property.
Artificial Intelligence • Machine Learning • Semiconductor
Lead the architecture, design, simulation, validation, and commercialization of silicon photonic devices (grating couplers, waveguides, SOAs, photodetectors). Develop link budgets, collaborate with foundries using PDKs, perform DFM/DFT, run optical simulations, characterize devices in lab, integrate with electro-mechanical and software teams, lead design reviews, support IP and patent filings, and mentor junior engineers.
Artificial Intelligence • Machine Learning • Semiconductor
Lead full-cycle technical recruiting for hardware, semiconductor, and photonics roles. Source senior and junior candidates, manage interview processes and scheduling, partner with Talent to build hiring workflows, and represent technical credibility to candidates and hiring managers.
Artificial Intelligence • Machine Learning • Semiconductor
Develop and optimize high-performance Analog IPs for photonic AI platform, perform custom IC layout, and coordinate with designers and EDA vendors.
Artificial Intelligence • Machine Learning • Semiconductor
Lead Security Engineer to design and defend cloud, network, and systems infrastructure. Implement zero-trust, IAM/PAM, SIEM/EDR, vulnerability management, incident response, vendor/customer security assessments, and drive SOC 2 Type II compliance while partnering with engineering and legal.
Artificial Intelligence • Machine Learning • Semiconductor
Develop low-level firmware for a hybrid optical-electronic LLM accelerator: implement board/system management, hardware interfaces, debugging/profiling tools, validate performance, collaborate on software-hardware integration, and support customer integration.
Artificial Intelligence • Machine Learning • Semiconductor
Lead BEOL process integration for an advanced photonic chip at the foundry in Leuven. Own BEOL process flows, SPC/specification management, DOE and process transfers, fault isolation and failure analysis (SEM/FIB/TEM/EDX), and drive yield, reliability, and continuous improvement while coordinating closely with foundry and internal design teams.
Artificial Intelligence • Machine Learning • Semiconductor
Lead end-to-end datacenter scale-out networking architecture for the T100 platform: host networking stack to EIC PCIe bridge, NIC integration, and DMA into HBM. Define RDMA/transport/offload (RoCEv2, UET), PCIe P2P/ACS policies, queue/completion semantics, vendor selection, collective communication modeling, DPU roadmap, standards representation, and mentor architecture and software engineers.
Artificial Intelligence • Machine Learning • Semiconductor
Lead and build Neurophos' in-house IT function across Sunnyvale and Austin. Own on-prem Linux compute for EDA/CAD, storage, backup, SSO/IdP (Okta), GitHub Enterprise, cloud (Azure) administration, network design, MSP governance, endpoint fleet management, and insourcing roadmap. Design hybrid connectivity, security/compliance evidence, and scale infrastructure from ~50 to 150+ employees while hiring and mentoring the IT team.
Artificial Intelligence • Machine Learning • Semiconductor
Perform die- and wafer-level optical characterization of metasurface photonic devices. Execute spectral and electro-optic measurements, automate instrument control and data acquisition with Python, analyze large datasets to assess yield and device performance, document campaigns, and improve test setups and measurement throughput.
Artificial Intelligence • Machine Learning • Semiconductor
Lead development of inference servers and racks, owning electrical, mechanical, and systems engineering from boards and interconnects through rack-level power and high-speed channel closure. Build and lead the Systems team, drive integration/bring-up, EVT/DVT/PVT sign-off, system reliability (RAS), and manage schedule and budget for full-scale product delivery.
Artificial Intelligence • Machine Learning • Semiconductor
Lead optical architecture, design, simulation, and optimization of free-space optical systems for an optical processing unit. Use Zemax/LightTools for tolerance, stray light, and sensitivity analysis; collaborate with optomechanical, photonics, electrical, and suppliers; support lab alignment, characterization, and system reviews; communicate performance, requirements, and risks to engineers and executives.
Artificial Intelligence • Machine Learning • Semiconductor
Lead software program execution to keep software delivery ahead of hardware by operating hybrid scrum-fall processes, running agile ceremonies, producing forward-looking forecasts with confidence levels, surfacing and driving technical and schedule risks to closure, and coordinating cross-functional dependencies across software, hardware, and cloud while advising chief engineers and executives on scope and sequencing.
Artificial Intelligence • Machine Learning • Semiconductor
Lead development of a compiler toolchain for a custom LLM accelerator: design IR/graph transformations and lowering passes, optimize compute and memory patterns, integrate with PyTorch/JAX/Triton, build test infrastructure, and ensure correctness and performance for hybrid optical-electronic hardware.



