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Posted a day ago
Senior Product Manager - Software
Efficient ComputerSenior Product Manager - Software
Perks & benefits
CommissionHealth InsurancePaid Leave
Requirements
7+ years PM experience for developer platforms, Experience shipping developer tools, Knowledge of ML inference pipelines, Understanding of hardware/software performance tradeoffs
Skills
PyTorchMLOps
About the role
About the Company
Efficient is developing the world’s most energy-efficient general-purpose computer processor. Their patented technology uses 100x less energy than state-of-the-art processors, enabling perpetual, pervasive intelligence for IoT devices.
Responsibilities
- Define the product roadmap for the compiler, SDK, runtime, model conversion, and developer platform
- Lead framework and model enablement strategy across PyTorch, ONNX, ExecuTorch, and LiteRT
- Drive reduction in time-to-first-working-application (TTFWA) across customer segments
- Establish SDK governance, including API stability, versioning, and deprecation policies
- Partner with Applications Engineering to define software platform capabilities for AI inference and sensor-processing pipelines
- Influence silicon decisions based on software needs and constraints
- Establish and own developer success metrics and workflow diagnostics
Requirements
- 7+ years of product management experience for developer-facing software platforms (SDKs, compilers, runtimes, or ML tooling)
- Experience shipping tools used directly by external developers
- Strong understanding of modern ML inference and deployment pipelines (PyTorch, ONNX, ExecuTorch, LiteRT, or TensorRT)
- Familiarity with software performance tradeoffs involving memory, latency, throughput, and power
- Ability to work effectively with compiler, runtime, and silicon architecture teams
Preferred Qualifications
- Experience with compiler toolchains and IRs (LLVM, MLIR, TOSA, XLA)
- Experience with embedded AI deployment pipelines and edge inference workflows
- Experience at a semiconductor or AI hardware company
- Familiarity with embedded software ecosystems (FreeRTOS, CMSIS-NN) and Linux-based embedded environments
- Experience with benchmarking methodologies like MLPerf
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Efficient Computer · San Jose
