Neurophos

14 Neurophos Jobs Hiring Near You

Lead Compiler Engineer

San Jose, CA ยท On-site

$120.10K - $158.20K/yr

Neurophos is a pioneering company focused on innovative AI hardware solutions using silicon photonics. They are seeking a Lead Compiler Engineer to develop compilers for their novel LLM accelerator ...

About Neurophos The demand for new datacenters and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of ...

Principal Calibration Engineer

Austin, TX ยท On-site

$245K - $290K/yr

About Neurophos The demand for new datacenters and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of ...

Office Manager

Austin, TX ยท On-site

$80K - $120K/yr

About Neurophos The demand for new datacenters and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of ...

Lead FPGA Design Engineer

Austin, TX ยท On-site

$215K - $250K/yr

About Neurophos The demand for new datacenters and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of ...

Principal Analog Design Engineer

Austin, TX ยท On-site

$200K - $250K/yr

About Neurophos The demand for new datacenters and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of ...

Sr. Principal SoC Architect

San Jose, CA ยท On-site

$275K - $325K/yr

About Neurophos The demand for new datacenters and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of ...

Lead Compiler Engineer

Austin, TX ยท On-site

$250K - $315K/yr

About Neurophos The demand for new datacenters and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of ...

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Infographic showing various job openings at Neurophos in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.

Staff Machine Learning Architect

Neurophos

San Jose, CA โ€ข On-site

Full-time

Posted 4 days ago


Job description

Job Summary:
Neurophos is a pioneering company focused on redefining AI computing through innovative optical architecture. They are seeking a Staff Machine Learning Architect to lead the adaptation and optimization of machine learning models for their advanced optical inference engines, bridging the gap between cutting-edge research and practical hardware applications.
Responsibilities:
โ€ข Lead the porting of LLM applications, diffusion models, and visual ML applications to Neurophos optical inference engines
โ€ข Adapt models from diverse sources, including GitHub, Hugging Face, other open-source repositories, and customer private models
โ€ข Work with models in various formats, including PyTorch, Triton, JAX, and emerging frameworks
โ€ข Develop and implement quantization strategies to migrate models from higher precision formats (FP8, INT8, and above) to our optimized 4-bit precision (FP4/INT4) for weights and activations
โ€ข Design and execute re-quantization, retraining, and other model adaptation techniques to minimize accuracy loss during precision reduction
โ€ข Create or integrate third-party tools and workflows for efficient model porting and optimization
โ€ข Optimize GEMM operations for high-throughput execution
โ€ข Develop benchmarking methodologies to measure and validate model quality post-porting, including perplexity metrics and other quality indicators
โ€ข Collaborate with hardware and software teams to co-optimize model architectures for optical compute characteristics
โ€ข Publish research papers on novel optimization techniques and methodologies (with appropriate IP protection)
Qualifications:
Required:
โ€ข MS or PhD in Computer Science, Data Science, Machine Learning, Mathematics, or related field
โ€ข 7+ years of experience in machine learning engineering with at least 3 years focused on model optimization and deployment
โ€ข Deep expertise in neural network quantization techniques, including post-training quantization (PTQ) and quantization-aware training (QAT)
โ€ข Strong proficiency in PyTorch and familiarity with other ML frameworks (JAX, Triton, TensorFlow)
โ€ข Hands-on experience with transformer architectures, LLMs, and diffusion models
โ€ข Experience with low-precision inference optimization (INT8, FP8, or lower)
โ€ข Strong understanding of GEMM operations and linear algebra optimizations for deep learning
โ€ข Experience with model evaluation metrics, including perplexity, accuracy, and benchmark suites
โ€ข Track record of successfully deploying ML models on specialized hardware accelerators
โ€ข Excellent communication skills with the ability to collaborate across hardware and software teams
Preferred:
โ€ข Experience with sub-8-bit quantization (INT4, FP4) and mixed-precision inference
โ€ข Familiarity with Hugging Face Transformers library and model hub ecosystem
โ€ข Experience with ONNX, TensorRT, or other model optimization frameworks
โ€ข Background in analog or optical computing architectures
โ€ข Knowledge of in-memory computing paradigms and matrix-vector multiplication acceleration
โ€ข Published research in model compression, quantization, or efficient inference
โ€ข Experience with large-scale batch inference optimization
โ€ข Familiarity with prefill vs. decode optimization strategies in LLM inference
Company:
Neurophos develops photonic AI processing technology that focuses on hardware solutions for accelerating artificial intelligence inference. Founded in 2020, the company is headquartered in Austin, USA, with a team of 11-50 employees. The company is currently Early Stage.