SF Tensor
SF Tensor
The San Francisco Tensor Company 🌁
About SF Tensor
SF Tensor develops GPU compilers and kernels, likely targeting high-performance computing and machine learning applications. The company focuses on optimizing GPU performance for various workloads, with a strong emphasis on compiler technology and kernel development. Engineering efforts involve advanced compiler design, performance tuning, and hardware-software co-optimization. With a small team of founding engineers, SF Tensor aims to innovate in the GPU space, although specific details about products or market position are not publicly available.
Current Job Openings
0 jobsAll SF Tensor Job Openings
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Expired
Founding GPU Compiler Engineer
@ SF Tensor
📍San Francisco, United States 🇺🇸📊 senior⏱︎ full-timecompiler CUDA GPUView Founding GPU Compiler EngineerView details -
Expired
Founding GPU Kernel Engineer
@ SF Tensor
📍San Francisco, United States 🇺🇸📊 senior⏱︎ full-timeGPU C++ CUDAView Founding GPU Kernel EngineerView details
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About SF Tensor
SF Tensor develops GPU compilers and kernels, likely targeting high-performance computing and machine learning applications. The company focuses on optimizing GPU performance for various workloads, with a strong emphasis on compiler technology and kernel development. Engineering efforts involve advanced compiler design, performance tuning, and hardware-software co-optimization. With a small team of founding engineers, SF Tensor aims to innovate in the GPU space, although specific details about products or market position are not publicly available.
SF Tensor Career Opportunities
SF Tensor operates in the embedded systems space with focus on Software Development. While no positions are currently listed, embedded companies often hire in cycles tied to product launches, R&D phases, or contract milestones. Engineers interested in SF Tensor should monitor for openings in firmware development, hardware design, and systems architecture.
SF Tensor Hiring Trends
* Data represents job posting activity over the past 6 months: Aug 2025 through Jan 2026
Hiring momentum at SF Tensor is currently increasing, with 2
openings posted this month compared to 0 last month.
This upward trend often signals product development acceleration, team scaling, or new project initiatives.
Over the past 6 months, SF Tensor averaged 0.3 job postings per month,
with peak hiring in Jan 2026 (2 openings).
For embedded systems roles, hiring activity typically correlates with product development cycles,
especially for firmware teams during pre-production phases and hardware engineers during prototyping.
📈 New hiring activity
Consistent hiring velocity
Jan 2026
Required Skills at SF Tensor
CUDA is the most in-demand skill at SF Tensor,
appearing in 100% of all job listings (past and present).
This universal requirement indicates CUDA forms the core of SF Tensor's
technical stack across all engineering teams.
SF Tensor's technology stack spans 7 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
This moderate technology stack indicates focused but varied engineering challenges.
Engineers joining SF Tensor should combine depth in key areas with adaptability. Firmware development expertise is critical, especially for engineers skilled in bare-metal programming, RTOS development, and optimizing code for resource-constrained systems. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.
Where SF Tensor is Hiring
SF Tensor's engineering operations are concentrated in a single country across 1 location. A single-location focus enables tight team collaboration and simplified operations, particularly valuable for hardware-intensive development requiring shared lab facilities.
Companies Similar to SF Tensor
These employers share technical focus areas with SF Tensor and are actively hiring embedded engineers. Exploring multiple companies helps candidates understand market compensation, compare technical challenges, and identify the best cultural and technical fit for their career goals.
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