Software Engineer, Staff - SIMD Kernels

D Matrix
Santa Clara, US
Hybrid

Who this role is best for

Aimed at senior engineers with SIMD kernel expertise who thrive in hardware-software co-design for AI accelerators, preferably in Santa Clara or remote.

Best fit for

  • Senior engineers with ML kernel optimization experience for AI hardware.
    — “develop, enhance, and maintain software kernels for ML operators
  • Candidates comfortable with full-stack performance analysis and SDK usability.
    — “build solutions that make our SDK intuitive for developers to use and analyze performance
  • Experts in mapping AI computational graphs to modern architectures.
    — “understand how to map algorithms and AI‑framework computational graphs onto those architectures

Things to consider

  • Advanced degree in a technical field is mandatory.
    — “MS or PhD in computer engineering, math, physics, or a related degree
  • Expectations include rapid delivery in a fast-moving environment.
    — “deliver and scale high‑quality software quickly in a fast‑moving development environment

How to stand out

  • Highlight specific ML operators you've optimized in past roles.
    — “GEMMs, Convolutions, softmax, layer normalization, pooling, etc.
  • Demonstrate experience with ML compilers like MLIR or LLVM.
    — “Experience with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.
  • Showcase embedded SIMD processor development if applicable.
    — “Experiences in development for embedded SIMD vector processors such as Tensilica
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · IndividualLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developing software kernels
  • enhancing software stack
  • analyzing performance
Typical background
computer engineeringmathphysics

Skills & requirements

Required

C/c++PythonLinuxCUDAML Operators

Preferred

ML FrameworksEmbedded SIMD Vector Processors

Stack & domain

C/c++PythonCudaMlirLlvmTvmGlowTensorFlowPyTorchSoftware EngineeringAI

About the role

Original posting from D Matrix via Ashby

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.

We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution.  Ready to come find your playground? Together, we can help shape the endless possibilities of AI. 

Location:

Santa Clara, CA headquarter or any of our regional offices. Remote possible.

The Role: Software Engineer, Staff - SIMD Kernels

What you will do:

As a member of the SIMD Kernels team, you will help productize the software stack for our AI compute engine. You will develop, enhance, and maintain software kernels for ML operators—such as softmax, layer norm, and activation functions—for next‑generation AI hardware. You will also build solutions that make our SDK intuitive for developers to use and analyze performance.

You have experience building software kernels for modern hardware architectures and understand how to map algorithms and AI‑framework computational graphs onto those architectures. You’re comfortable working across the full toolchain and navigating hardware–software co‑design trade‑offs. You can deliver and scale high‑quality software quickly in a fast‑moving development environment.

What you will bring:

Minimum:

  • MS or PhD in computer engineering, math, physics, or a related degree with 5+ years of industry experience.
  • Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.
  • Proficient in C/C++ and Python development in Linux environment and using standard development tools.
  • Experience in implementing algorithms in C/C++ and Python.
  • Experience in implementing algorithms for specialized hardware such as FPGAs, DSPs, GPUs, AI accelerators using libraries such as CUDA, etc.
  • Experience in implementing operators commonly used in ML workloads—GEMMs, Convolutions, softmax, layer normalization, pooling, etc.
  • Self-motivated team player with a strong sense of ownership and leadership.

Preferred:

  • Prior startup, small team, or incubation experience.
  • Experience with ML frameworks such as TensorFlow and/or PyTorch.
  • Experience working with ML compilers and algorithms, such as MLIR, LLVM, TVM, Glow, etc.
  • Experience with a deep learning framework (such as PyTorch or TensorFlow) and ML models for CV, NLP, or recommendation.
  • Experiences in development for embedded SIMD vector processors such as Tensilica.
  • Work experience at a cloud provider or AI compute/subsystem company.

Equal Opportunity Employment Policy

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.

d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.

Source: D Matrix careers (Ashby)

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