AI Inference Software Engineer — Stealth AI Systems Startup
Base Salary Range: $200,000-$300,000
Location: San Fransisco (Onsite)
A stealth-stage AI systems company is redefining the performance boundaries of inference at scale. As generative AI models become larger and more complex, inference is emerging as the core bottleneck in production environments. This team is building a vertically integrated stack—from low-level GPU kernels to developer-friendly APIs—that dramatically improves inference speed, efficiency, and scalability.
Spun out of cutting-edge academic research and backed by deep industry experience across distributed systems, machine learning infrastructure, and hardware design, they are focused on enabling production-grade AI with minimal latency and maximal throughput. Their platform integrates seamlessly with modern ML frameworks like PyTorch and LangChain, allowing teams to deploy and monitor workloads in seconds.
They are looking for a Software Engineer focused on AI inference performance to help build and optimize the core runtime infrastructure powering these systems. This role sits at the intersection of deep learning, systems engineering, and GPU performance.
What You’ll Do
What They’re Looking For
Nice to Have
This is a rare opportunity to work on core infrastructure for AI systems at a team solving some of the hardest performance challenges in the field.
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