What are the responsibilities and job description for the Senior Software Engineer, GPU position at Signify Technology?
Job Title: Senior Software Engineer, GPU
Salary: $200,000 – $250,000 Equity
Location: San Francisco, CA
A well-funded AI startup is hiring a GPU focused Machine Learning / Software Engineer to help optimize and scale their GPU systems. This well-funded startup with a founding team from Top AI Companies/Research Institutions is focused on rethinking the next generation of AI.
In this role, you’ll work on compiler-level optimizations and runtime systems that make it easy to run AI models. This role spans across performance engineering, low-level GPU programming (CUDA), and hardware-aware systems design. You will be managing GPU clusters, have MFU optimization experience, an understanding of hardware systems (memory, cache, processors, etc), and a high performance computing background. This role is ideal for candidates with HPC or systems backgrounds who want to build software that interfaces closely with cutting-edge hardware.
Requirements
Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.
We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.
Our Commitment to Diversity, Equity, and Inclusion
Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.
Salary: $200,000 – $250,000 Equity
Location: San Francisco, CA
A well-funded AI startup is hiring a GPU focused Machine Learning / Software Engineer to help optimize and scale their GPU systems. This well-funded startup with a founding team from Top AI Companies/Research Institutions is focused on rethinking the next generation of AI.
In this role, you’ll work on compiler-level optimizations and runtime systems that make it easy to run AI models. This role spans across performance engineering, low-level GPU programming (CUDA), and hardware-aware systems design. You will be managing GPU clusters, have MFU optimization experience, an understanding of hardware systems (memory, cache, processors, etc), and a high performance computing background. This role is ideal for candidates with HPC or systems backgrounds who want to build software that interfaces closely with cutting-edge hardware.
Requirements
- Experience with ML runtimes, compilers, or CUDA programming
- Strong background in systems, performance tuning, or GPU acceleration
- Familiarity with AI infrastructure, dev tools, or inference systems
- Background in HPC, MLIR, or CUDA stack preferred
- Equity in a well-funded, early-stage startup
- Health, Dental, and Vision Insurance
- Paid Time Off
Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.
We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.
Our Commitment to Diversity, Equity, and Inclusion
Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.
Salary : $200,000 - $250,000
GPU Kernels Engineer
OpenAI -
San Francisco, CA
