AI Systems Architect: Co-Designing Models & Hardware

Velaura; Austin (TX); On-site; USD 200,000 - 500,000; Full time

Benefits offered by this job

Medical coverage

Dental & Vision

Paid time off

Flexible work arrangements

Equity participation

Professional development

Job summary

Velaura is seeking an AI Systems Architect to bridge ML models and hardware design, shaping workloads for next‑gen compute platforms. You will move between mathematical models, software frameworks, and hardware considerations to define efficient implementations.

You will evaluate emerging architectures, translate requirements into silicon, and collaborate with software and hardware teams to deploy scalable AI systems at scale in Austin. Strong ML and systems mindset required.

Qualifications

• Strong understanding of modern machine learning architectures, including transformers and related model families.
• Solid grounding in the mathematical foundations of machine learning, optimization, and deep learning algorithms.
• Experience working with ML frameworks such as PyTorch, JAX, or TensorFlow.
• Ability to analyze model computation graphs and translate them into efficient dataflows and compute patterns.
• Experience with AI model training and inference workflows.
• Strong systems thinking and ability to work across software, algorithms, and hardware.

Responsibilities

• Analyze modern AI model architectures including transformers and emerging alternatives to understand their computational and system requirements.
• Evaluate model suitability for different application domains and help determine which model architectures are best matched to specific workloads.
• Work closely with hardware architects to translate model requirements into efficient silicon implementations.
• Identify opportunities to modify or optimize models, algorithms, or dataflows to improve performance, efficiency, or scalability in hardware.
• Understand training and inference pipelines for modern AI models and identify implications for hardware design.
• Develop performance and efficiency models to guide architectural decisions.
• Collaborate with software and hardware teams to ensure that models can be deployed efficiently on new compute platforms.
• Stay current with emerging AI model research and identify opportunities where new architectures may benefit from specialized hardware.

Skills

Transformers

ML foundations

ML frameworks (PyTorch/JAX/TF)

Graph analysis

Training workflows

Systems thinking

Tools

Hardware-software co-design

AI accelerator arch

Quantization

Sparsity & pruning

Job description

Velaura is seeking an AI Systems Architect to bridge ML models and hardware design, shaping workloads for next‑gen compute platforms. You will move between mathematical models, software frameworks, and hardware considerations to define efficient implementations.

You will evaluate emerging architectures, translate requirements into silicon, and collaborate with software and hardware teams to deploy scalable AI systems at scale in Austin. Strong ML and systems mindset required.