executorch jobs in San Diego

Staff-level software engineer responsible for designing and executing subsystem integration testing (SSIT) strategy for Qualcomm's ML inference delegates portfolio. Build and maintain Python/PyTest-based test suites integrated into CI/CD pipelines, triage failures across the ML framework, QNN runtime, and HTP hardware stack, and serve as the technical liaison between development and QA/SIT teams.…See more Leverage AI-assisted tooling (Claude, Copilot) to accelerate test generation and failure analysis. Mentor junior engineers and establish team standards for test coverage and handoff documentation.

Staff-level engineer responsible for designing and executing subsystem integration testing (SSIT) strategy for Qualcomm's Delegates ML inference framework. Develops and maintains Python/PyTest-based automated test suites integrated into CI pipelines, triages failures across the ML framework, QNN runtime, and HTP hardware stack, and owns the technical handoff criteria and traceability to downstream QA/SIT teams.…See more Leverages AI-assisted tooling (Claude Code, GitHub Copilot) to accelerate test generation and failure analysis. Mentors junior engineers and sets team standards for test coverage, debugging discipline, and documentation.

Staff Machine Learning Engineer role focused on designing and maintaining Qualcomm AI Hub's end-to-end ML compilation pipeline, from PyTorch and ONNX model ingestion through graph optimization to deployable artifacts on Snapdragon SoCs. Responsibilities span compiler infrastructure (graph transformation, op validation, backend dispatch across CPU/GPU/NPU), model catalog automation and CI/CD, and developer tooling for profiling and debugging.…See more Requires 4+ years of software/systems engineering experience (or 3+ with a master's, or 2+ with a PhD), with preferred expertise in ML compiler concepts, ONNX/PyTorch export workflows, and on-device deployment frameworks.

Staff-level software engineer responsible for subsystem integration testing (SSIT) of ML inference delegates on Qualcomm Snapdragon SoCs. Develops and maintains automated Python/PyTest test suites integrated into CI/CD pipelines, validates on-device behavior using hardware-in-the-loop infrastructure, and triages failures across the ML framework → QNN runtime → HTP hardware stack.…See more Acts as technical liaison between development and downstream QA/SIT teams, defining handoff criteria and owning test coverage strategy for the Delegates portfolio. Mentors junior engineers and sets team standards for test architecture, coverage discipline, and defect triage.

Staff-level CI/CD engineer responsible for building and maintaining hermetic, reproducible CI pipelines for ONNX Runtime, ExecuTorch, and LiteRT delegates across Linux, Windows (ARM64/x86), and Android. Owns end-to-end release engineering—versioning, artifact packaging (wheels, shared libraries, AARs), signed distribution, and automated quality gates—while integrating AI-assisted tooling (Claude, Copilot, Codex) into developer workflows.…See more Builds test automation frameworks for functional, performance, and regression testing at scale on Snapdragon SoC hardware, and drives cross-platform CI/build infrastructure alignment across a distributed global team.

Staff/Sr. Staff Software Engineer role focused on AI inference optimization on Snapdragon platforms, including model optimization, quantization, graph transformations, and runtime execution for LLMs, LVMs, and LMMs.…See more You will design and implement graph lowering and optimization techniques within ONNX Runtime, ExecuTorch, and Qualcomm AI Stack SDK, working across ML algorithms, inference systems, and hardware integration. The role requires 6–8+ years of software development experience, 3+ years in AI/ML inference or model optimization, deep expertise in Python and C/C++, PyTorch/ONNX, and transformer architectures. You will mentor junior engineers, drive features end-to-end, and collaborate across ML Research, hardware, product, and QA teams.

Own CI, build, and release infrastructure for AI software products (ONNX Runtime, ExecuTorch, TFLite/LiteRT delegates) across Linux, Windows, and Android. Design and evolve multi-platform CI pipelines, implement HIL and on-device automated testing for Snapdragon SoC validation, and drive end-to-end release pipelines with versioning, artifact packaging, and distribution.…See more Define automated quality gates including regression benchmarks and performance thresholds. Requires 8+ years of software/DevOps/release engineering experience (or 6+ with a Master's), expert Python and Bash scripting, deep CI/CD platform expertise (Jenkins, GitLab CI, GitHub Actions, TeamCity), and hands-on experience integrating AI coding agents into workflows.