Research Engineer (AI Inference)

This Jobot Job is hosted by: Grant Greenhalgh
Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume.
Salary: $175,000 - $225,000 per year

A bit about us:

We're a well-funded AI infrastructure startup developing modern software at the intersection of artificial intelligence, high-performance computing, and specialized hardware. The team is tackling complex performance challenges associated with running modern AI workloads across emerging compute architectures.

Why join us?

• Well-funded by leading tech investors
• Cutting edge technical problems with complex solutions
• Lucrative Equity in a seed stage startup
• Competitive compensation
• Excellent benefits (healthcare, vision, dental)

Job Details

We’re looking for a Research Engineer focused on AI inference and performance optimization. This person will work close to the hardware, developing and optimizing the low-level software responsible for running modern AI models efficiently across high-performance compute platforms. This is an ideal opportunity for an engineer who enjoys working at the intersection of AI systems, GPU programming, performance engineering, and low-level optimization.

What We’re Looking For

• Strong experience with GPU programming, high-performance computing, or AI inference optimization
• Hands-on experience with CUDA, ROCm, Triton, or similar low-level compute frameworks
• Experience developing or optimizing GPU kernels
• Strong understanding of modern deep learning and LLM inference workloads
• with performance-critical operations including matrix multiplication and attention
• Experience benchmarking, profiling, and optimizing compute-intensive workloads
• Strong Python and/or C++ programming experience
• Understanding of GPU architecture, memory hierarchy, parallelism, and performance bottlenecks
• Experience with inference frameworks or serving infrastructure is highly valuable
• Background in ML systems, distributed systems, compilers, or performance engineering is a plus
• Ability to operate effectively in a highly technical, research-oriented startup environment

Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.

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