Staff Software Development Engineer - Rust, Compilers, and GPU Systems (3)

Advanced Micro Devices, Inc•San Jose, CA

13d•Hybrid

About The Position

We are building next-generation systems software for AMD GPUs with Rust as a core technical direction. The work spans compilers, runtimes, low-level GPU software, firmware, developer tooling, and methods for improving the safety and correctness of complex hardware-software systems. Rust is not incidental to this role. You will help establish how Rust is used in performance-sensitive and high-trust parts of the GPU stack, including the compiler and tooling support, system interfaces, engineering practices, and validation methods required for production deployment. You will have the opportunity to influence both near-term implementations and the longer-term architecture for using Rust across current and future AMD platforms.

Requirements

Deep technical expertise in at least one part of this stack and the ability to become productive in unfamiliar areas.
Ability to read technical work, form testable hypotheses, and turn promising ideas into reliable implementations.
Hardware-software co-design experience is highly valuable, especially when compiler, runtime, firmware, or ISA choices must evolve together.
Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent industry experience.

Nice To Haves

Strong production Rust experience, including ownership and borrowing, lifetimes, traits and generics, error handling, concurrency, FFI, and the careful design of safe abstractions over unsafe operations.
Experience with low-level or constrained Rust, including no std, embedded systems, firmware, custom targets, allocators, volatile access, interrupt handling, or architecture-specific code.
Strong C or C++ systems programming skills and the ability to work across mixed-language codebases.
Experience with rustc internals, MIR, custom codegen backends, procedural macros, compiler plugins, or other Rust toolchain infrastructure.
Experience with LLVM, MLIR, GCC, or another production compiler framework.
Experience designing intermediate representations, dialects, analyses, optimization passes, legalization, instruction selection, scheduling, or target-specific code generation.
Understanding of compiler correctness issues such as undefined behavior, aliasing, provenance, layout, calling conventions, memory models, and source-to-target semantic preservation.
Ability to read and reason about low-level assembly, ISA encodings, compiler output, and machine-level execution.
Experience with linkers, loaders, ELF or other object formats, code-object metadata, DWARF, LLVM MC, disassembly, post-link analysis, or binary rewriting.
Understanding of GPU execution models, including waves or warps, SIMD/SIMT execution, address spaces, registers, local or shared memory, caches, synchronization, atomics, barriers, and asynchronous operations.
AMDGPU, GCN, RDNA, CDNA, ROCm, HIP, HSA, or AMDGPU LLVM backend experience.
Experience with GPU runtimes, drivers, firmware, embedded processors, device initialization, command processing, queueing, or hardware control paths.
Experience building secure or high-assurance systems that process untrusted inputs or operate across privilege, memory-isolation, or hardware trust boundaries.
Experience with program analysis, abstract interpretation, symbolic execution, model checking, SMT solvers, or formal verification tools such as Verus, Lean, Coq, Isabelle, Dafny, or TLA+.
Experience writing executable specifications, proving state-machine invariants, or validating refinement between source, IR, binaries, simulators, RTL, and hardware.
Strong validation instincts, including adversarial testing, differential testing, property-based testing, fuzzing, reproducible evidence, and careful treatment of assumptions and counterexamples.
Hardware-software co-design experience for ISA features, compiler-visible architecture, memory systems, synchronization, security mechanisms, or specialized compute pipelines.
Technical leadership experience: setting direction, resolving ambiguous cross-layer problems, influencing partner teams, mentoring engineers, and communicating tradeoffs clearly.
Research publications and advanced degrees are welcome but are not required.

Responsibilities

Lead the design and implementation of production-quality Rust components for low-level and performance-sensitive GPU systems.
Help make Rust a first-class engineering language across relevant parts of the GPU software stack, including toolchain integration, libraries, coding standards, diagnostics, testing, and deployment practices.
Design and implement compiler pipelines involving rustc, MIR, target-neutral intermediate representations, MLIR dialects and transformations, LLVM IR, and AMDGPU code generation.
Build analyses, transformations, legalization passes, and target-specific lowering for GPU execution models, memory spaces, synchronization, capabilities, and specialized hardware operations.
Define typed and auditable interfaces across compiler, host runtime, device code, firmware, and hardware boundaries.
Work on ABI definition and validation, argument layout, calling conventions, linker and loader behavior, ELF and code-object metadata, and source-to-binary identity.
Develop or improve bare-metal and no std Rust components where explicit state, bounded behavior, fail-closed handling, and predictable hardware effects are required.
Use testing, fuzzing, property-based testing, differential execution, executable models, and hardware validation to find semantic gaps and prevent regressions.
Apply program analysis or formal methods where they provide meaningful assurance, including source-level invariants, state-machine properties, refinement obligations, and clearly documented trusted boundaries.
Distinguish precisely among type-system guarantees, source-level proofs, compiler evidence, binary validation, simulator results, and behavior observed on hardware.
Partner with compiler, runtime, firmware, architecture, validation, security, and performance teams to solve problems that cross organizational and technical boundaries.
Write design documents, lead technical reviews, mentor engineers, and explain complex language, compiler, and hardware behavior clearly.
Evaluate emerging compiler and verification technologies and integrate them when they improve the safety, performance, maintainability, or development velocity of production systems.