AI Engineer & Researcher - GPU Kernel
📌San Francisco, United States 🇺🇸
⏱︎ full-time
🧙♂️ mid-level
Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.
We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.
All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
Tech Stack
CUDA
CUTLASS
C/C++ and Python binding tools
Location
The role is based in the Bay Area [San Francisco]. Candidates are expected to be located near the Bay Area or open to relocation.
Focus
Developing and improving low-level CUDA kernel optimizations for state-of-the-art inference and training software stack.
Profiling, debugging, and optimizing single and multi-GPU operations using tools such as Nsight.
Understanding GPU memory hierarchy and computation capabilities.
Implementing the latest methods from the deep learning literature in low-level CUDA kernels.
Innovating new ideas that bring us closer to the limits of a GPU.
Ideal Experiences
Building high-performance GeMM CUDA kernels using Tensor cores or CUDA cores from scratch or by utilizing CuTe/CUTLASS.
Implementing features for attention kernel by extending existing kernels or writing them from scratch.
Comfortable with writing both forward and backward kernels and ensuring its correctness while considering floating point errors.
Optimizing for both memory-bound and compute-bound operations.
Reasoning about register pressure, shared-memory usage and GPU utilization through tools such as Nsight and removing bottlenecks.
Being familiar with the latest and the most effective techniques in optimizing inference and training workloads.
Using pybind to integrate custom-written kernels into a framework, specially JAX/XLA.
Interview Process
After Submitting Your Application, The Team Reviews Your CV And Statement Of Exceptional Work. If Your Application Passes This Stage, You Will Be Invited To a 15 Minute Interview (“phone Interview”) During Which a Member Of Our Team Will Ask Some Basic Questions. If You Clear The Initial Phone Interview, You Will Enter The Main Process, Which Consists Of Four Technical Interviews
Coding assessment in a language of your choice.
Systems hands-on: Demonstrate practical skills in a live problem-solving session.
Project deep-dive: Present your past exceptional work to a small audience.
Meet and greet with the wider team.
We don’t rely on recruiters for assessments. All interviews will be conducted via Google Meet.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
-
Experience
🧙♂️ mid-level
-
Skills
-
Industry
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