AI Systems Architect (Models & Hardware Co-Design

Auradine, Inc.
Austin, TX, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$200,000.0 - $300,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Application Frameworks Cloud Computing Program Optimization Hardware Design Machine Learning Mathematical Software Tensorflow Software Engineering Software Requirements Analysis Systems Architecture
+5 more
Extensible Markup Language (XML) Reinforcement Learning Pytorch Deep Learning Information Technology

Job description

We are looking for an AI Systems Architect who sits at the intersection of machine learning models and hardware architecture. In this role, you will work across model development, algorithms, and hardware architecture to identify and shape the AI workloads that will define the next generation of compute platforms. You will evaluateemerging model architectures, understand their training and inference characteristics, and help translate them into efficient hardware implementations. This role requires someone who is comfortable moving between mathematical models, software frameworks, and hardware architecture, and who enjoys solving problems at theboundary between disciplines. 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.

Requirements

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, andhardware. Preferred Qualifications

Experience with hardware-software co-design or AI accelerator architecture.

Familiarity with model optimization techniques such as quantization, sparsity, pruning, or distillation.

Experience implementing or optimizing AI models for specialized hardware platforms.

Exposure to emerging AI model architectures beyond transformers (e.g., world models, continuous-time networks, reinforcement learning systems).

Experience working with robotics, autonomous systems, or embodied AI applications., Affirmative Action, Algorithms, Analysis Skills, Architectural Services, Artificial Intelligence (AI), Benchmarking, Cloud Computing, Compensation and Benefits, Computer Systems, Deep Learning, Diversity, Hardware Architecture, Hardware Design, JAX (Java API for XML), Machine Learning, Math Software, Mathematical Modeling, Mathematics, Mobile Devices, Performance Management, Performance Modeling, Problem Solving Skills, Reinforcement Learning, Robotics, Sales Prospecting, Semiconductors, Software Design, System Architecture, Unmanned Aircraft Systems (UAS)

Benefits & conditions

$200,000 - $300,000 a year Compensation & Benefits

At Velaura, we believe exceptional talent deserves exceptional rewards. Compensation for this role includes a base salary and very competitive equity compensation, allowing team members to share in the company’s long-term success.

The base pay listed represents a good faith estimate that the Company reasonably expects to pay for this position at the time of hire. Actual compensation will depend on multiple factors, including the candidate’s skills, qualifications, relevant experience, and geographic location.

In addition to base salary and equity compensation, Velaura offers a comprehensive benefits package that may include medical, dental, and vision coverage; paid time off; flexible work arrangements; professional development opportunities; and other benefits designed to support the well-being and growth of our team.

Velaura is committed to pay equity and transparency and regularly benchmarks compensation to ensure we remain competitive in the market. Why Velaura?

Velaura is building next-generation compute technology for cloud, edge, and Physical AI. Our solutions will enable robots, autonomous systems, drones, and other intelligent machines to operate efficiently in the physical world.This is an opportunity to help build foundational technology at a time when the industry is undergoing fundamental change. You will work alongside experienced leaders, architects, engineers, and operators who have delivered industry-defining products across mobile, cloud, semiconductor, and AI platforms. If you enjoy solving difficult problems, working across disciplines, and helping shape the future of Physical AI, we would love to hear from you. Equal Employment Opportunity and Accommodations

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