Software Engineer, Systems ML Tooling

Meta; Menlo Park (CA); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta seeks a Software Engineer to advance MTIA Software Tooling, focusing on debugging, sanitizer, and fault isolation tooling for AI workloads on MTIA hardware. You will contribute to graph-mode debugging, kernel diagnostics, and multi-rank fault isolation while collaborating with the compiler, runtime, kernel, and hardware teams.

You will own components end-to-end from design through production rollout, partnering with internal product teams to address developer pain points and drive

Qualifications

• Bachelors in CS/CE or equivalent practical experience.
• 4+ years in systems software engineering or tooling.
• Proficiency in C++ and Python for low-level development.

Responsibilities

• Lead design and development of MTIA's debugging and sanitizer tooling.
• Build graph-mode debugging, kernel diagnostics, and multi-rank fault isolation.
• Own components end-to-end from design to production deployment.
• Collaborate with MTIA compiler, runtime, kernel and hardware teams.
• Drive AI-native tooling approaches with automation and diagnostics.

Skills

C++

Python

Systems programming

Debugger tooling

Profiling

Memory analysis

Simulation

Education

Bachelor's degree in CS/CE or equivalent

Tools

LLVM instrumentation

gdb

Valgrind

Triton

Job description

Meta is seeking a Software Engineer to join the MTIA (Meta Training & Inference Accelerator) Software Tooling team, which develops and maintains the tooling ecosystem for Meta's in-house AI accelerator ASICs. The Tooling team provides debugging, profiling, memory analysis, and monitoring capabilities for the whole MTIA Ecosystem, redefining ML accelerator tooling by leveraging Meta's full-stack ownership from silicon specs to fleet observability.In this role, you will design and build developer tools across the MTIA tooling ecosystem, with a primary focus on debugging, sanitizer technology, and fault isolation for AI workloads running on MTIA hardware at scale. You will work at the intersection of compilers, runtime, hardware, and ML frameworks, collaborating with cross-functional partners to deliver a high-quality developer experience for Meta's custom AI accelerators.This role can focus on either debugging and sanitizing technology or simulation infrastructure for pre-silicon and post-silicon model bring-up, depending on the candidate's background and team needs.Software Engineer, Systems ML Tooling Responsibilities:Lead the design and development of MTIA's debugging and sanitizer tooling, including live debugging, core dump, and memory sanitizers for accelerator workloadsBuild debugging capabilities spanning graph-mode debugging, kernel-level diagnostics, and multi-rank fault isolationContribute broadly to the MTIA SW tooling infrastructure — profiling, performance debugging, memory analysis, monitoring, and reliability analysis for training and inference workloadsOwn significant components end-to-end, from technical design through implementation, production rollout, and long-term maintenanceCollaborate closely with the MTIA compiler, runtime, kernel, and hardware teams to instrument the software stack with the hooks, sanitizers, and debuggers requiredDrive AI-native tooling approaches, leveraging automation and LLM-guided diagnostics to reduce time-to-root-causePartner with internal product teams across advertising, recommendations, and generative AI to understand developer pain points and prioritize tooling investmentsCommunicate architectural decisions through design documents and cross-team reviewsshare debugging methodology and best practices with engineers across the MTIA stackMinimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience4+ years of experience in systems software engineering, performance engineering, developer tooling, or a closely related fieldExperience building debugging, sanitizer, profiling, simulation, or diagnostic tools for complex software/hardware systemsProficiency in C++ and Python, including low-level systems programming and scripting for tool automationExperience working across multiple layers of a system stack (compiler, runtime, OS/driver, hardware)Track record of leading the technical design and delivery of tooling or infrastructure projects through to production deploymentCross-stack debugging skills, with the ability to trace issues across application, runtime, and hardware boundariesPreferred Qualifications:5+ years of experience in systems software, developer tooling, or accelerator software development (or equivalent with advanced degree)Experience with compiler-based instrumentation and runtime shadow-memory techniques underlying sanitizers (LLVM instrumentation passes, interceptors, allocator red zones)Track record of building developer tools adopted by large engineering populations, ideally with contributions to open-source projects (LLVM sanitizers, gdb, Valgrind, Triton, etc.)Familiarity with ML framework internals (PyTorch graph execution, torch.compile, operator dispatch) and AI compiler stacks (MLIR, LLVM, TVM, Triton)Experience with accelerator ecosystems (GPU/CUDA, TPU, custom ASICs), including memory analysis, performance profiling, and runtime debugging using their toolchains (cuda-gdb, nsight-compute, nsight-systems)Experience working at the device-software boundary — accelerator runtime/driver internals, DMA and memory-mapped device behavior, on-device fault handling or firmware-assisted error reportingDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience with Linux debugging and profiling infrastructure (gdb, perf, eBPF, ftrace, coredump analysis, hardware performance counters) and familiarity with binary formats and debugging metadata (ELF/DWARF)Experience with Linux kernel and driver-level debugging, hands-on experience with sanitizer and dynamic-analysis technology, or building comparable memory checking toolsExperience with functional or cycle-approximate simulation techniques — instruction-set interpreters/simulators, timing and performance models — and with simulator or virtual-platform frameworks (gem5, QEMU, AModel, BModel)Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)About Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].$154,003/year to $217,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.