Software Solutions Architect

What You Do At AMD Changes Everything

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

Responsibilities

The role:

AMD is looking for a Principal strategic software engineering lead who is passionate about architecting and delivering solutions for enterprises purchasing client and graphics solutions such as high end inferencing dGPUs and APUs. This role sits at the intersection of architecture, customer engagement, and hands-on execution. You will define and build full-stack solutions that showcase and enable AMD hardware in real-world enterprise deployments, including AI inferencing, edge, and hybrid client/cloud scenarios. You will partner directly with strategic customers, ISVs, and internal silicon and software teams to bring differentiated solutions to market.

The person:

The ideal candidate is a systems thinker and hands-on builder with deep experience translating hardware capabilities into deployable enterprise software solutions. You are comfortable working from ambiguity, engaging directly with customers, and owning outcomes end-to-end—from architecture through implementation and optimization.

You bring:

• Strong technical leadership with the ability to influence across organizations
• A customer-first mindset with experience in enterprise solution delivery
• The ability to move between high-level architecture and low-level debugging/performance work
• A bias toward action and shipping real systems (hardware + software), not just defining them

Key responsibilities:

• Architect and deliver end-to-end software solutions that highlight AMD CG platforms in enterprise environments (AI inferencing, data pipelines, edge deployments)
• Translate AMD hardware capabilities into reference architectures, PoCs, and production-ready solutions
• Design systems across client, edge, and cloud, including integration with enterprise infrastructure

• Work directly with strategic enterprise customers and ISVs to understand workloads and co-develop optimized solutions
• Act as the technical leader in customer engagements, driving architecture decisions and solution direction
• Build reusable frameworks and solution patterns that scale across multiple customers

• Optimize AI and compute workloads for AMD GPUs and APUs (e.g., ROCm, ONNX, PyTorch, inference runtimes)
• Apply a data-driven approach to profiling, benchmarking, and tuning
• Identify gaps in the software stack and partner with internal teams to close them

• Partner with silicon, driver, and software teams to influence future product requirements and capabilities
• Provide feedback into AMD roadmap based on real-world enterprise usage
• Mentor engineers and drive technical excellence across the team

• Develop new solution concepts that demonstrate the value of AMD platforms in emerging workloads (AI, GenAI inference, edge AI, media processing, etc.)
• Stay at the forefront of AI frameworks, deployment models, and enterprise software trends

Preferred experience:

• Strong software engineering background (C/C++, Python, or similar)
• Experience building enterprise software systems (not just components)
• Deep familiarity with AI/ML inference stacks (ONNX Runtime, PyTorch, TensorRT-equivalent ecosystems, etc.)
• Experience with GPU computing frameworks (ROCm strongly preferred; CUDA familiarity useful)
• Experience with distributed systems, containers, and orchestration (Docker, Kubernetes)
• Knowledge of client + datacenter + edge architectures
• Strong debugging and performance analysis skills (profilers, tracing tools)
• Experience working directly with customers or external partners
• Excellent communication skills—able to explain complex systems to both technical and executive audiences

Academic credentials:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

Locations:

Austin, TX.

Boxborough, MA.

Markham, Ontario, CA.

This role is not eligible for visa sponsorship.