SimNow AI Software Engineer at Advanced Micro Devices, Inc

Cambridge, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

30 Jun, 26

Salary

0.0

Posted On

01 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Python, AI, Machine Learning, Code Generation, Debugging, Collaboration, Test Automation, Version Control, Compiler Fundamentals, Software Simulation, Pre-silicon Validation, SoC Simulation, Data Analysis, Observability, Telemetry

Industry

Semiconductor Manufacturing

Description

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. THE ROLE Join AMD’s SimNow AI team and help evolve how we build software simulation platforms with AI and large language models (LLMs). SimNow is a C++ simulator that supports validation of the software‑visible behavior of next‑generation AMD designs. In this role, you’ll collaborate with simulation engineers, AI practitioners, and tooling experts to create intelligent agents that generate device models, automate workflows, and improve developer experience. You’ll learn advanced C++ application architecture, prompt and context design for code generation, evaluation methods for AI‑assisted development, and practices used in pre‑silicon validation and SoC simulation. We value clear problem‑solving, thoughtful collaboration, and a learning mindset in an environment that supports different working and communication styles. THE PERSON The ideal candidate is someone who enjoys learning new systems, sharing knowledge, and collaborating with teammates in a supportive environment. You approach debugging and problem‑solving systematically, communicate ideas clearly in both written and collaborative settings, and value building tools that help other developers work more effectively. You are open to feedback, appreciate diverse perspectives, and adapt well as new information or challenges arise. Above all, you bring an interest in using AI responsibly to enhance real engineering workflows and are motivated by contributing to a team where learning and continuous improvement are core values. KEY RESPONSIBILITIES Build AI‑assisted code generation agents that translate hardware specifications (e.g., PDFs, tables, diagrams) into C++ device models Design multi‑step agentic workflows that explore codebases, identify patterns, generate code, build, test, and iterate safely Develop prompts, context‑assembly strategies, pattern libraries, and validation approaches for reliable code generation Create dashboards, metrics, and observability to understand AI utility, usage patterns, and impact Extend Python‑based test harnesses and build evaluation frameworks for code quality, correctness, and specification alignment Help create internal copilots and assistants that support the SimNow developer community What you’ll accomplish: First 3 months: Learn the SimNow environment, tooling, and development practices. Contribute to prompt libraries and initial code‑generation experiments. Ship improvements to existing Python test infrastructure. 6 months: Own components of the agentic pipeline (e.g., pattern extraction, evaluation). Deliver measurable improvements to code‑generation quality or developer experience. Build dashboards and/or metrics that illuminate AI effectiveness and safety. 12 months and beyond: Shape next‑generation LLM‑powered simulation workflows. Introduce automation that meaningfully accelerates model development and testing. Contribute to best practices for AI‑assisted engineering across the organization. PREFERRED EXPERIENCE Understanding of compiler fundamentals (preprocessing, compilation, linking), headers/includes, compilation units, and interpreting compiler messages. Proficiency with modern C++ (C++11/14/17): classes, basic templates, STL containers, and memory semantics (pointers vs. references). Python for scripting, test automation, and basic data analysis. Version control with Git (clone, commit, push/pull, branching). Experience in one of the following focus areas: AI/ML & LLMs: projects, coursework, or internships involving code generation or prompt engineering. Build systems & tooling: cmake, make, or experience with complex/large builds. Test automation: pytest, unittest, or CI/CD; interest in quality and reproducibility. Large‑scale C++ application architecture. Advanced prompt engineering and agentic system design. Pre‑silicon validation workflows and SoC simulation. MLOps for code‑generation systems (telemetry, evaluation, continuous improvement). Computer architecture concepts; Verilog/SystemVerilog familiarity. ACADEMIC CREDENTIALS Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field preferred. #LI-HYBRID #LI-AP1 Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Responsibilities

The role involves building AI-assisted code generation agents and designing workflows for code generation and testing. You will also create dashboards and metrics to understand AI utility and improve developer experience.