The modeling engineer role at AWS focuses on building and owning C++ models of custom SoCs that are essential for the silicon development lifecycle. The team collaborates closely with RTL designers and verification engineers to ensure model accuracy and support pre-silicon verification flows. This position offers the opportunity to influence chip design decisions and work at the intersection of software engineering and chip design. Candidates will be part of a small, high-impact team that directly contributes to AWS's strategic silicon programs.

• 2+ years of experience writing functional or performance models of hardware such as SoCs, ASICs, GPUs, CPUs, or IP blocks.
• Experience programming in languages such as C/C++, Python, Java, or Perl.
• Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture.
• 2+ years of experience in the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Experience working with DV teams or integrating models into verification flows.
• Experience with SystemC or TLM-based modeling.
• Experience correlating functional models against RTL simulation or emulation.
• Experience developing or calibrating performance models.
• Familiarity with Modern C++ (20 and beyond).
• Experience with PyTest, GoogleTest, or similar test frameworks.
• Experience with multi-threaded simulation.

• Build and own models of SoC subsystems by translating architecture specs and RTL behavior into accurate, testable C++ models.
• Work directly with RTL design and verification teams to validate model behavior against RTL and debug discrepancies.
• Develop model-based test infrastructure, including regression suites, RTL correlation checks, and coverage-driven testing.
• Contribute to performance modeling efforts by building cycle-approximate models to help architects evaluate design trade-offs.
• Improve modeling methodology and infrastructure regarding how models are structured, integrated, tested, and released.
• Collaborate with chip architects to understand upcoming designs and plan modeling work ahead of RTL availability.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.