Staff Software Engineer in Test (SDET)

d-Matrix Corporation

Job Overview

Location

Santa Clara

Job Type

Full-time

Full Job Description

📋 Description

• Design, build, and maintain scalable automated test frameworks for AI kernel validation across simulation, emulation, and silicon targets.
• Develop correctness and performance regression suites for ML operators including GEMMs, convolutions, BLAS, SIMD operations, softmax, layer normalization, and pooling.
• Implement automated testing pipelines integrated into CI/CD workflows to provide rapid feedback on kernel changes.
• Build tooling to automate comparison of kernel outputs against reference implementations such as CPU-based golden references, PyTorch, and TensorFlow baselines.
• Validate numerical precision, edge cases, and boundary conditions for ML kernels across data types and hardware configurations on AI accelerators, DSPs, FPGAs, and SIMD vector processors.
• Partner with hardware teams (mixed signal, DSP, CPU) to validate hardware-software co-design assumptions and identify integration issues early in development.
• Drive validation of compiler-generated code paths from MLIR, LLVM, and TVM through structured test methodologies.
• Serve as the primary liaison between the Kernels engineering team and the broader QA organization, aligning on test strategy, coverage criteria, and release readiness.
• Participate in QA planning ceremonies to represent Kernels team needs and surface quality risks proactively.
• Contribute to and maintain shared QA infrastructure, test standards, and reporting dashboards used across engineering teams.
• Lead root cause analysis for test failures and escaped defects, collaborating with Kernels engineers to close validation gaps.
• Set quality standards and best practices for the Kernels team, mentoring engineers on testability design and defensive coding.
• Contribute to design reviews with a quality lens, identifying areas requiring additional validation before tape-out or release.
• Influence test strategy across the full software stack—from unit and integration tests to system-level validation on target AI hardware.
• Own quality outcomes by defining test coverage, release qualification criteria, and validation strategy—not just executing tests.
• Work embedded within the Kernels team alongside compiler engineers, ML software engineers, and hardware architects in a hybrid environment (3–5 days/week onsite at Santa Clara, CA headquarters).
• Collaborate cross-functionally with QA leads to align on company-wide test standards and share best practices.

🎯 Requirements

• BSc in Computer Engineering, Computer Science, Math, Physics, or related field with 6+ years of industry experience; or MS with 4+ years; or PhD with 2+ years, with at least 2 years in test engineering, SDET, or quality engineering roles.
• Strong understanding of computer architecture, data structures, and machine learning fundamentals to reason about correctness and performance of ML kernels.
• Proficient in C/C++ and Python with experience writing production-quality test code in Linux environments.
• Experience writing automated tests for algorithms targeting specialized hardware such as GPUs, DSPs, FPGAs, or AI accelerators (e.g., using CUDA or equivalent).
• Familiarity with ML operators used in production workloads: GEMMs, convolutions, BLAS, SIMD operations, softmax, layer normalization, pooling.
• Experience building or working within CI/CD pipelines and automated regression systems.

🏖️ Benefits

• Opportunity to build quality infrastructure from the ground up as the first Staff SDET on the Kernels team.
• Direct impact on the correctness and quality of AI compute software shipping in next-generation hardware products.
• Work alongside top compiler and kernel engineers at the intersection of hardware and software innovation.
• Hybrid work model with 3–5 days/week onsite at Santa Clara, CA headquarters.
• Inclusive, collaborative culture emphasizing humility, direct communication, and team learning.
• Equal opportunity workplace with commitment to diversity and inclusion across all dimensions.

Skills & Technologies

Python

Linux

TensorFlow

PyTorch

Senior

Hybrid

Degree Required

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d-Matrix Corporation

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About d-Matrix Corporation

d-Matrix designs silicon for high-efficiency AI inference at scale. Its Corsair compute platform combines in-memory computing with a digital approach to slash latency and energy use in transformer and generative workloads. Targeting hyperscale data centers and edge deployments, the company offers hardware and software stacks that integrate into existing AI pipelines. Founded in 2019 and headquartered in Santa Clara, California, d-Matrix serves cloud and enterprise customers seeking cost-effective alternatives to GPUs for large language model serving.

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